Full Transcript
https://www.youtube.com/watch?v=wYSncx9zLIU
[12:05] Google I/O 2026
[35:12] Wow!
[35:13] Wow!
[35:15] Hello!
[35:19] Hello!
[35:19] Hello! Wow, good morning, everyone! What is up, Google I/O?
[35:26] I'm Valkyrae, and I'm so excited to be here with you guys today.
[35:29] And I'm Jack, AKA courage.
[35:31] Shout-out to everyone tuning into the livestream worldwide.
[35:34] We are YouTube creators, gamers and occasionally competitors.
[35:39] I wouldn't call it much of a competition, though.
[35:41] Okay, hold on.
[35:42] So today, we're going to be playing a game together.
[35:46] It's called Infinite Scaler.
[35:47] And you can scan that big code right there to pull it up, no download required.
[35:53] Infinite Scaler is basically a massive collaborative experiment.
[35:57] That means over the next 20 minutes, we won't just be competing against each other, although I'll definitely be getting the highest score, but we'll actually be building the
[36:08] We'll actually be building the game together as we play it.
[36:11] The game itself is pretty straightforward.
[36:12] You bounce on these little jump pads to climb a tower as fast as you can.
[36:17] If you're too slow, the lights go out below you, and you fall.
[36:22] But you may have noticed that every-level looks completely unique.
[36:25] That's because every block of the tower is a world you guys generate using your creativity and some AI magic.
[36:32] That means every time you play, it's completely unique.
[36:37] You can create a cyber punk city or a forest full of capybara.
[36:44] Whatever you dream up just type it in as long as it's safe for work.
[36:46] That's right.
[36:46] We don't want to get HR involved.
[36:50] Look we'll give you a quick peek at how this actually works.
[36:52] You literally just type in a prompt.
[36:56] It can super simple because our friend Gemini will automatically give it a polish for you on the back end.
[37:01] Then it gets sent over to --
[37:03] Nano Banana, which makes the background and foreground sprite sheaths, adds a little tech magic, takes the
[37:08] a little tech magic, takes the depth map and boom you've got this awesome 3D effect.
[37:11] Like check out the one I made, a tribute to my Shiba Inu Mika.
[37:15] tribute to my Shiba Inu Mika.
[37:17] Look how cute he is.
[37:17] So cute.
[37:18] It's decent. Mine is way better.
[37:23] Spaghetti slippery slide.
[37:24] Of course, of course.
[37:25] All right, enough talking, let's play.
[37:27] Are you guys ready?
[37:27] You can jump right in on your phone or just grab the link on your computer.
[37:31] This is a play at your own pace type of game so don't stress if you're still getting your devices connected.
[37:36] There will be plenty of chances to jump in later.
[37:39] later.
[37:39] All right.
[37:40] Let's go, let's get started.
[37:42] Let's do this.
[37:44] Look, Rae no pressure, there's just thousands of people here in person and hundreds of thousands of people tuned in online.
[37:49] Okay, I'm feeling the pressure, Jack.
[37:51] All right.
[37:51] Let's go. Rae is going to get us started.
[37:53] Again, you all with that QR code can join us with the link if you're watching online, from anywhere across the world.
[38:00] Rae is going to show you how it's done.
[38:02] Let's see what record you can set.
[38:04] Okay. It's pretty simple.
[38:04] You just have to hit the jump pads because there is no jump button.
[38:07] And each room
[38:11] No jump button.
[38:15] And each room is just so freaking unique and is just so freaking unique and random.
[38:20] I have to lock in.
[38:21] A hand, these are prompts from you guys at home,
[38:23] that you're sending on in and
[38:26] we're also, as we play, midway through going to take a look at
[38:28] which players set the record, as well as which countries have the
[38:31] most levels and it's important to get up the right side, the rocket.
[38:38] Rocket.
[38:39] You need the rocket.
[38:43] I'm rooting for the Philippines.
[38:43] Who are you rooting for, Jack?
[38:46] You think the Philippines are going to pop up a?
[38:48] I think Japan.
[38:50] Okay, Japan.
[38:50] Japan is going to do great.
[38:53] Maybe Brazil. All right, so far, it's 30.
[38:56] Look if anyone in the crowd can get over 50 I'll say you're pretty darn good.
[38:59] We did the a lot of tests and warmups, and hit some pretty crazy records.
[39:04] Here it comes.
[39:10] Jack, you're stressing me out.
[39:13] Stressing me out.
[39:13] Basketball uh-oh.
[39:14] Basketball uh-oh.
[39:14] Uh-oh.
[39:19] So good.
[39:19] Okay.
[39:21] So good.
[39:21] Okay.
[39:23] 43 levels, new points record.
[39:23] Pretty good.
[39:25] Points record.
[39:25] Pretty good.
[39:28] Let me do it one more time.
[39:31] Okay.
[39:31] My goal is at least 50.
[39:33] Okay.
[39:33] My goal is at least 50.
[39:34] What do you think the most prompted things are going to be?
[39:35] I feel like food, mainly, because they have really good food here.
[39:37] Mainly, because they have really good food here.
[39:37] Good food here.
[39:38] I think people are going to prompt in their pets.
[39:39] Going to prompt in their pets.
[39:40] Who doesn't want to see their pets?
[39:42] Pets?
[39:43] That's like a fork battle going on.
[39:46] Battle going on.
[39:46] Robots controlling a ship.
[39:48] Controlling a ship.
[39:49] I want to just look at each room, but they're going by so fast.
[39:52] At each room, but they're going by so fast.
[39:55] By so fast.
[39:58] There's a capybara.
[39:58] Capybara.
[39:58] Masseuse.
[39:58] Funny.
[39:59] Masseuse.
[39:59] Funny.
[39:59] It's pretty therapeutic, honestly.
[40:03] It's pretty therapeutic, honestly.
[40:03] Honestly.
[40:04] Maybe jellyfish DJ's would be a good one.
[40:06] DJ's would be a good one.
[40:06] That's what we just saw.
[40:07] That's what we just saw.
[40:08] I can't believe they introd for us.
[40:08] A cow in
[40:15] They introduced for us. A cow in space.
[40:15] Space.
[40:15] That's awesome.
[40:16] That's awesome.
[40:16] And again, you all can join worldwide right now, no download required, a link at the top of your screen.
[40:22] All right. You're at 31.
[40:25] At 31.
[40:27] Okay. I'm aiming for 50.
[40:30] What do you think the high score is going to be?
[40:32] Jack, what do you think the high score is going to be?
[40:33] Going to be?
[40:36] I think the high score, someone out there is going to get 100 plus.
[40:37] It's going to be crazy.
[40:40] Uh-oh, you got it. You got it. You're good.
[40:43] You're stressing me out.
[40:45] The thing to know about this is that for each room, you have to hit the jump pad to get through the hole.
[40:51] You can't just go through the bottom.
[40:56] Are you going to have tips and tricks?
[40:59] I have not had the chance to go.
[41:01] We're good. There we go. Okay.
[41:04] Don't worry, I know the crowd is going to get real loud when it's my turn.
[41:06] I'll give someone $5, please.
[41:11] Okay.
[41:12] You can't bribe the crowd.
[41:13] That's cheating.
[41:14] I've got tricks up my sleeve.
[41:19] I've got tricks up my sleeve I'm going to hope.
[41:20] I'm going to hope.
[41:22] That was so cute.
[41:22] That was so cute.
[41:24] Okay. No pressure.
[41:24] Again, just literally competing with everybody.
[41:29] competing with everybody.
[41:29] Jack.
[41:29] Jack.
[41:30] Only millions of people.
[41:30] people.
[41:32] Jack... Okay. I'm going to be yapping your ear off when you do it.
[41:36] going to be yapping your ear off when you do it.
[41:36] I think it's really good.
[41:37] really good.
[41:38] That's crazy.
[41:38] That's crazy.
[41:39] Now, it's my turn, everybody! Let's go.
[41:41] Let me show you how it's done.
[41:43] show you how it's done.
[41:46] Show you how it's done.
[41:49] Infinite Scaler, live at Google I/O!
[41:52] Starts now M.
[41:53] It's not too late to join in.
[41:55] We're going to look at the high scores right after this, or maybe after a couple of rounds, because who knows how far Jack is going to get.
[41:58] this, or maybe after a couple of rounds, because who knows how far Jack is going to get.
[42:03] far Jack is going to get.
[42:05] Good. Rocket ship already.
[42:06] I'm locked in.
[42:08] locked in.
[42:09] If you're at home on your PC, scan the QR code.
[42:13] on your PC, scan the QR code.
[42:13] Double rockets?
[42:15] Yep, I rigged it.
[42:15] That's crazy.
[42:20] That's crazy.
[42:20] Really?
[42:20] Really?
[42:21] Let's see how far you can get.
[42:25] you can get.
[42:26] The bears.
[42:26] The bears.
[42:27] Oh, my gosh.
[42:27] Oh, my gosh.
[42:29] What is going on?
[42:29] What is going on?
[42:30] All the rockets, this is so rigged.
[42:33] This is not fair right now.
[42:38] now. Candy canes.
[42:39] Candy canes.
[42:40] I'm going for 100.
[42:40] I'm going for 100.
[42:41] Who did you actually pay?
[42:42] actually pay?
[42:42] Don't worry about it.
[42:43] it. That was close.
[42:46] That was close. The bears and the river.
[42:47] the river.
[42:48] Hot-air balloons.
[42:48] Hot-air balloons.
[42:49] I like watching you play, because I can actually look at the rooms.
[42:50] you play, because I can actually look at the rooms.
[42:53] look at the rooms.
[42:54] There's another.
[42:54] There's another.
[42:56] There we go. More food, please.
[42:59] food, please.
[43:00] Puppies. Washing machines with a ship in it.
[43:07] machines with a ship in it. You're at 70.
[43:08] You're at 70.
[43:09] What did you get to six? I'm about to pass that right now.
[43:11] to six? I'm about to pass that right now.
[43:12] right now. I'm about to pass that right now.
[43:13] that right now.
[43:14] You have to try to get 100.
[43:14] get 100.
[43:17] I will. Don't worry.
[43:18] Don't worry. If you're playing at home when you look at the leaderboard, it's for you all at
[43:19] home when you look at the leaderboard, it's for you all at
[43:21] Leaderboard, it's for you all at home.
[43:21] I won't be on that.
[43:26] I've had a lot of practice...
[43:28] So I may or may not have been here in this seat for two hours yesterday playing.
[43:33] We did get to practice.
[43:38] This is actually getting nuts now.
[43:39] You're already almost at 100.
[43:42] I wonder which country actually will wind up getting the top.
[43:46] Congratulations.
[43:46] You did it.
[43:51] Jack... It's getting dark.
[43:56] Yes you better hurry up.
[43:57] It's fine.
[43:57] Everything's fine.
[44:01] A ship in a bottle?
[44:03] Yeah. Pigeons.
[44:06] Well, Rae.
[44:10] Look at the bee!
[44:11] I think that might be my favorite.
[44:12] The bunnies with the boba.
[44:16] Now, I want boba.
[44:21] You're at 125, Jack.
[44:21] That cheeseburger has lettuce and tomatoes.
[44:25] Can we get more animals with clothes on?
[44:28] No burger should have -- let's just cancel the keynote, and I'll keep playing.
[44:35] I'm sure.
[44:35] I think that's what everyone here wants.
[44:38] They would love that.
[44:41] You're at 130.
[44:43] I wish you won't first.
[44:43] This is crazy.
[44:47] Okay.
[44:48] Okay. 142!
[44:50] That was pretty good.
[44:50] Thank you.
[44:51] That was pretty good.
[44:52] Look at these, numbers.
[44:58] It's over 157 countries.
[45:00] This is in the last 10 minutes.
[45:03] 14,000 people!
[45:03] That that's wild.
[45:06] That's actually a lot of people.
[45:09] This just happened.
[45:10] 1818 levels.
[45:11] Let's check out the top scores..
[45:16] Brawny icy moss with 248.
[45:16] We suck.
[45:19] How did they even have that much time?
[45:21] I don't know.
[45:23] VALKYRAE: I don't know. That's actually nuts.
[45:26] That's actually nuts.
[45:27] COURAGEJD: Top country, United States.
[45:30] Shout-out India, 9,567 levels scaled, okay.
[45:34] 9,567 levels scaled, okay.
[45:35] VALKYRAE: 33,000 points, that's crazy.
[45:36] Then we've got Germany, Brazil, France, Mexico, Canada, Poland, Spain.
[45:40] Where's the Philippines?
[45:46] COURAGEJD: Don't worry. Next one.
[45:46] We'll take a look at some of the levels that people have made.
[45:49] VALKYRAE: I'm very excited for this.
[45:50] Let's see what you guys have made.
[45:53] Okay. We've got a duck with a sweater fishing, by poppy neon gravy.
[45:59] gravy.
[46:02] COURAGEJD: Very cool.
[46:03] VALKYRAE: Cute. Are those like --
[46:05] COURAGEJD: A Coral reef.
[46:12] Little anenomes with eyeballs.
[46:13] You've got to get rid of the lettuce and tomato.
[46:16] VALKYRAE: So you're a cheese and meat only kind of guy.
[46:19] This is by smiley science.
[46:24] is by smiley science.
[46:24] Now, I'm hungry.
[46:26] That makes sense.
[46:27] We saw this one in the levels.
[46:30] That's a really cool one.
[46:31] Ship in a bottle with little people around it.
[46:40] A disco snail.
[46:41] How do you even think of that?
[46:43] Snail where the shell is a disco ball.
[46:46] Giant rock hand, asteroid hand by plushy hiccup.
[46:50] I feel like we've got to give you another chance, though.
[46:53] Me?
[46:54] Yeah. You've got to get 100 plus.
[46:57] Okay. I can hit 100.
[47:00] People already hit 250...
[47:01] Yeah. Maybe we can redeem ourselves.
[47:05] Look at this crowd here, that's awesome.
[47:06] This is crazy.
[47:07] Some of you all out there in the sun, make sure you put on some sun screen.
[47:11] This crowd is going all the way back now.
[47:14] It's going to get hot today.
[47:15] No pressure.
[47:17] Some of the most important people in the world in the room, but no pressure.
[47:23] No pressure. I'm scaling.
[47:25] Scaling.
[47:26] You all at home can join up and play right now.
[47:27] I'm going to try to challenge you to get that leader board.
[47:31] You have to get 220, I think.
[47:34] The Phoenix is cool.
[47:35] A bunch of crystals.
[47:39] I passed the rocket.
[47:39] I passed the rocket.
[47:41] I didn't need it.
[47:44] What are you doing?
[47:46] I'm freakin' out, Jack.
[47:47] Okay.
[47:49] Uh-oh.
[47:50] Okay, okay.
[47:50] Stay calm.
[47:56] This is spaghetti.
[47:58] Rocket. Big. Okay.
[47:59] Now, you've got it.
[48:00] Someone in the crowd right now is watching and probably already at like 500,
[48:01] and they might play for the whole show.
[48:08] I'm kind of curious what the top score is now.
[48:14] You better make a mistake, people are going to be on their phones while they're doing it.
[48:17] Boing, boing, boing.
[48:18] Big rocket.
[48:21] This is the Jack luck I was looking for.
[48:25] You know, we got
[48:26] You know, we got told back stage that people here in the crowd today are from countries all around the world.
[48:31] Where did you guys come in from for today's event?
[48:36] Can some people yell where you're from?
[48:38] I heard Canada.
[48:39] I just heard like 40 different countries at once.
[48:42] And it all blended into one.
[48:45] But enjoy the nice weather.
[48:48] Boing, boing, boing... This is like the best head-empty type of game.
[48:57] You broke your previous record.
[49:00] That's all I wanted.
[49:00] I wanted to do better.
[49:03] There's a rocket to the left.
[49:05] Oh, my gosh so clutch, dude.
[49:09] I like how the crowd reacts to you getting that last one.
[49:10] Gur, you're good.
[49:13] Let's go.
[49:17] It's fun seriously.
[49:20] This is your last chance.
[49:21] It's over for me.
[49:21] It's over for me.
[49:21] I didn't hit 100.
[49:25] If I don't get on
[49:26] If I don't get on the global leader board then the global leader board then Google I/O is canceled.
[49:30] Here we go.
[49:35] The Google executive back stage is like tackle this guy off the stage right now.
[49:38] I'm going to have to.
[49:41] I'm going to wave my hand in front of your screen.
[49:42] Lock in, Jack.
[49:43] That one is so cute.
[49:50] Cheese!
[49:52] Who doesn't love cheese.
[49:54] The lactose intolerant.
[49:57] We're good.
[49:59] Rocket.
[50:00] Great from the start.
[50:03] Again, guys, take a look at that link, join on in, rep your country, see if you can get a high score.
[50:10] No download required, which was awesome to hear, because I feel like that's the hardest part.
[50:11] Taking the time to download the game, but you don't have to download.
[50:13] If you're at home, scan the QR code.
[50:20] Is that actually how it works?
[50:21] I wassed a hiring the horse wearing clothes.
[50:25] Yeah.
[50:26] You can hit
[50:26] Yeah. You can hit the link in the top corner.
[50:28] the link in the top corner. Check it out.
[50:30] Check it out.
[50:33] I'm in my flow state right now.
[50:35] I feel like you've had a lot of practice.
[50:39] I'm chilling right now.
[50:43] Bunnies with pujams.
[50:45] Oh, my gosh, wolves chasing the little bees.
[50:52] You're at 57 right now.
[50:55] The light is coming back.
[50:58] Nice. That's the crowd right there.
[51:03] It's my good luck charm.
[51:06] Dragon. Is that your spaghetti slide?
[51:09] That might have been it.
[51:13] Was that your room?
[51:17] Good call.
[51:19] I haven't seen Mika yet. Less spiders, please.
[51:23] Almost there. At 87. Oh, no. It's a disaster.
[51:26] You're good, you're good.
[51:30] Good.
[51:31] My last chance, I've got to lock in.
[51:33] I've got to lock in.
[51:35] You're almost to 100.
[51:40] Congratulations, you did it.
[51:48] I'm really happy for you.
[51:49] We're good.
[51:59] It's fine.
[52:01] They're going to kick us out, Rae.
[52:09] Jack, you're way too good.
[52:13] How much have you practiced?
[52:17] I may have loaded this up at home.
[52:17] It's fine.
[52:19] Spaghetti tower.
[52:21] People love spaghetti.
[52:23] The dogs are great.
[52:27] So much spaghetti.
[52:28] You're at 140.
[52:28] Oh, my gosh.
[52:34] Oh, my gosh. This might be the most people I've ever played video games in front of.
[52:39] You could beat the crowd if you hit 250, unless someone else has beat it by now.
[52:45] If I hit the world record, I become the Google CEO, that's how it works.
[52:49] I won't let that happen. Don't worry, Mr. CEO, I will tackle this man.
[52:58] Don't worry. Oh, Rae!
[52:59] I think you got this.
[53:04] Rae, please!
[53:06] You're at 180.
[53:09] Okay. Hold on.
[53:11] But I think it was 250 something. But I'm pretty sure they're still going.
[53:13] I have a feeling the high score is going to be double.
[53:19] Maybe we'll take another look in a moment and find out.
[53:25] There's my favorite, my fishing duck.
[53:28] You're at 200. And you have a rocket.
[53:33] Good! What more do I need?
[53:35] I need?
[53:35] You need at least 50.
[53:37] 50?
[53:42] Yeah, at least.
[53:43] Nice.
[53:45] Rae, Rae. This is the best run I've ever had.
[53:47] And I did it on stage!
[53:55] This is like our jobs.
[53:56] They brought me here to make you look good.
[54:05] Live streaming.
[54:05] Okay.
[54:07] Jack, you're at 236.
[54:13] Keep going.
[54:13] Yo everyone at home!
[54:15] You're lucky I can't get on that leaderboard, except for you guys.
[54:20] I'm actually so curious.
[54:21] Let's go! Thank you, thank you!
[54:24] It was the 600 milligrams of caffeine.
[54:28] 250, Rae look, you know what? I got it.
[54:30] I'm going to go.
[54:34] Least get the last rocket.
[54:34] No, no. And we'll
[54:36] >> COURAGEJD: No, no. And we'll take it. Thank you, thank you.
[54:39] take it. Thank you, thank you. That was fun. Wait!
[54:42] That was fun. Wait! >> VALKYRAE: 20,000 of you have
[54:43] >> VALKYRAE: 20,000 of you have joined in! That's so many
[54:47] joined in! That's so many people.
[54:47] people. >> COURAGEJD: 163 countries.
[54:48] >> COURAGEJD: 163 countries. >> VALKYRAE: Do you think the
[54:49] >> VALKYRAE: Do you think the leader board has changed?
[54:51] leader board has changed? >> COURAGEJD: Let's take a look
[54:52] >> COURAGEJD: Let's take a look at the leader board.
[54:54] at the leader board. >> VALKYRAE: 259, let's see if
[54:55] >> VALKYRAE: 259, let's see if they've beaten your score.
[55:02] they've beaten your score. >> COURAGEJD: What? 800 --
[55:03] >> COURAGEJD: What? 800 -- >> VALKYRAE: How did you have
[55:03] >> VALKYRAE: How did you have the time? We just started.
[55:05] the time? We just started. >> COURAGEJD: No, someone check
[55:05] >> COURAGEJD: No, someone check that person's phone.
[55:09] that person's phone. >> VALKYRAE: Okay.
[55:09] >> VALKYRAE: Okay. >> COURAGEJD: Maybe that's just
[55:11] >> COURAGEJD: Maybe that's just Gemini playing.
[55:12] Gemini playing. >> VALKYRAE: Recent gleamy
[55:13] >> VALKYRAE: Recent gleamy wombat from the United States.
[55:14] wombat from the United States. Congratulations being number one
[55:15] Congratulations being number one right now.
[55:16] right now. >> COURAGEJD: And let's --
[55:19] >> COURAGEJD: And let's -- >> VALKYRAE: Top countries. Of
[55:20] >> VALKYRAE: Top countries. Of course, the United States.
[55:21] course, the United States. >> COURAGEJD: Wow. Okay.
[55:23] >> COURAGEJD: Wow. Okay. 74,000 points. That's insane.
[55:27] 74,000 points. That's insane. India, United Kingdom, Germany,
[55:30] India, United Kingdom, Germany, Brazil. So cool. France,
[55:31] Brazil. So cool. France, Canada, Mexico, Poland and Spain
[55:33] Canada, Mexico, Poland and Spain round out our top 10.
[55:35] round out our top 10. >> VALKYRAE: I can't believe how
[55:37] >> VALKYRAE: I can't believe how many people jumped in. That was
[55:39] many people jumped in. That was amazing.
[55:39] amazing. >> COURAGEJD: Look guys, that is
[55:40] >> COURAGEJD: Look guys, that is it from us. Thank you so much.
[55:41] it from us. Thank you so much. That was a lot of fun.
[55:43] That was a lot of fun. >> VALKYRAE: That was awesome!
[55:44] >> VALKYRAE: That was awesome! Have a great day you guys! And
[55:46] Have a great day you guys! And enjoy the show.
[55:48] enjoy the show. >> COURAGEJD: Enjoy the rest of
[55:49] >> COURAGEJD: Enjoy the rest of I/O. Bye, everyone.
[55:51] I/O. Bye, everyone. >> VALKYRAE: Bye.
[55:52] >> VALKYRAE: Bye. ♪
[55:53] ♪ ♪
[01:04:58] ♪ >> Take a second to realize how
[01:04:59] >> Take a second to realize how far we've come.
[01:05:05] far we've come. Empowered by all the things
[01:05:07] Empowered by all the things we've made together.
[01:05:08] we've made together. >> How many people have looked
[01:05:09] >> How many people have looked at a problem and then have been
[01:05:11] at a problem and then have been bold enough to say, I can solve
[01:05:12] bold enough to say, I can solve it?
[01:05:20] it? >> And staring at a future.
[01:05:21] >> And staring at a future. We all get to decide.
[01:05:21] We all get to decide. >> AI, as the ultimate tool to
[01:05:22] >> AI, as the ultimate tool to solve all the world's most
[01:05:23] solve all the world's most complex scientific problems.
[01:05:26] complex scientific problems. >> We're taking flight.
[01:05:27] >> We're taking flight. Every one of us is packed with
[01:05:31] Every one of us is packed with potential, the potential to mak
[01:05:33] potential, the potential to mak anything we can dream of.
[01:05:36] anything we can dream of. >> I do not know personally how
[01:05:38] >> I do not know personally how to code, but given the option t
[01:05:40] to code, but given the option t create something just opens up
[01:05:42] create something just opens up so many doors for me as an
[01:05:42] so many doors for me as an educator.
[01:05:44] educator. >> I discovered Gemini could
[01:05:45] >> I discovered Gemini could help me with a lot of things
[01:05:47] help me with a lot of things from menus to marketing and
[01:05:49] from menus to marketing and inventory.
[01:05:50] inventory. >> But in a world where anythin
[01:05:52] >> But in a world where anythin is possible.
[01:05:53] is possible. >> We're really pushing at this
[01:05:55] >> We're really pushing at this big mission, the mission of
[01:05:55] big mission, the mission of solvable disease.
[01:05:56] solvable disease. This is huge, but we have a
[01:05:58] This is huge, but we have a profoundly new technology in ou
[01:05:59] profoundly new technology in ou hands.
[01:06:00] hands. >> What matters is what we
[01:06:02] >> What matters is what we choose to build.
[01:06:04] choose to build. >> Hi, my name is Matteo.
[01:06:07] >> Hi, my name is Matteo. My brother Tomas made me this A
[01:06:11] My brother Tomas made me this A assistant.
[01:06:12] assistant. >> So let's not just make.
[01:06:19] >> So let's not just make. Let's make something that
[01:06:20] Let's make something that matters.
[01:06:21] matters. ♪
[01:06:24] ♪ ♪
[01:06:40] ♪ [Applause]
[01:06:51] [Applause] >> SUNDAR PICHAI: Hello,
[01:06:56] >> SUNDAR PICHAI: Hello, Shoreline, and hello to everyone
[01:06:57] Shoreline, and hello to everyone watching from around the world.
[01:06:59] watching from around the world. Excited to be back for this
[01:07:01] Excited to be back for this year's I/O and what a year it's
[01:07:04] year's I/O and what a year it's been. All of the relentless
[01:07:08] been. All of the relentless shipping, the rapid advances in
[01:07:11] shipping, the rapid advances in technology, it's been a period
[01:07:15] technology, it's been a period of hyper-progress.
[01:07:15] of hyper-progress. I've definitely felt it myself.
[01:07:16] I've definitely felt it myself. It's been an intense year.
[01:07:17] It's been an intense year. Here's a look at what I've been
[01:07:21] Here's a look at what I've been up to.
[01:07:23] up to. [Laughter]
[01:07:24] [Laughter] Okay, I wish this was my year.
[01:07:29] Okay, I wish this was my year. Actually, the one of me plugging
[01:07:30] Actually, the one of me plugging in the TPUs is pretty accurate.
[01:07:34] in the TPUs is pretty accurate. But there's probably still more
[01:07:35] But there's probably still more work to do before it's in space,
[01:07:37] work to do before it's in space, we are working on that.
[01:07:41] we are working on that. On a serious note, it's been an
[01:07:42] On a serious note, it's been an extraordinary moment. It's been
[01:07:43] extraordinary moment. It's been 10 years since we pivoted the
[01:07:47] 10 years since we pivoted the company to be AI first. We knew
[01:07:50] company to be AI first. We knew how profound AI would be to
[01:07:51] how profound AI would be to advancing our mission, and
[01:07:51] advancing our mission, and improving people's lives at
[01:07:52] improving people's lives at scale.
[01:07:55] scale. This is why we are taking a
[01:07:58] This is why we are taking a differentiated, full-stack
[01:07:59] differentiated, full-stack approach to AI innovation.
[01:08:04] approach to AI innovation. From our custom silicon and
[01:08:05] From our custom silicon and secure foundation, to our
[01:08:06] secure foundation, to our world-class research and models,
[01:08:07] world-class research and models, to our products and platforms
[01:08:10] to our products and platforms that reach billions of people.
[01:08:10] that reach billions of people. This approach enables us to
[01:08:14] This approach enables us to iterate and innovate faster, and
[01:08:15] iterate and innovate faster, and it's lighting up every part of
[01:08:15] it's lighting up every part of the company.
[01:08:17] the company. What's really incredible is how
[01:08:19] What's really incredible is how people are using our AI.
[01:08:23] people are using our AI. Students prepping for final
[01:08:24] Students prepping for final exams through the Gemini app;
[01:08:25] exams through the Gemini app; musicians and artists using
[01:08:28] musicians and artists using generative AI modules like Lyria
[01:08:30] generative AI modules like Lyria and Veo as part of their
[01:08:31] and Veo as part of their creative flow; developers coding
[01:08:32] creative flow; developers coding and bringing their ideas to
[01:08:34] and bringing their ideas to life.
[01:08:34] life. I've been using Gemini in a
[01:08:36] I've been using Gemini in a myriad of ways.
[01:08:38] myriad of ways. Recently, I've been turning to
[01:08:41] Recently, I've been turning to Gemini to make sense of my
[01:08:42] Gemini to make sense of my parents' doctor visits. I'm
[01:08:43] parents' doctor visits. I'm sure many of you have done a
[01:08:45] sure many of you have done a version of that.
[01:08:47] version of that. These stories of how people are
[01:08:48] These stories of how people are using AI are the best measure of
[01:08:51] using AI are the best measure of progress.
[01:08:52] progress. To understand the scale at which
[01:08:54] To understand the scale at which people are adopting AI, there's
[01:08:55] people are adopting AI, there's another great proxy: Tokens,
[01:08:57] another great proxy: Tokens, the fundamental units of data
[01:08:59] the fundamental units of data our models process, many
[01:09:00] our models process, many representing a problem being
[01:09:03] representing a problem being solved.
[01:09:05] solved. Two years ago, we were
[01:09:06] Two years ago, we were processing 9.7 trillion tokens a
[01:09:14] processing 9.7 trillion tokens a month across our services, a
[01:09:16] month across our services, a huge number. Last year at I/O,
[01:09:17] huge number. Last year at I/O, that grew to about 480 trillion
[01:09:18] that grew to about 480 trillion tokens, impressive growth. Fast
[01:09:20] tokens, impressive growth. Fast forward to today, that number
[01:09:23] forward to today, that number has jumped seven times to
[01:09:23] has jumped seven times to 3.2 quadrillion tokens per
[01:09:24] 3.2 quadrillion tokens per month.
[01:09:25] month. [Applause]
[01:09:31] [Applause] Never imagined I would say
[01:09:35] Never imagined I would say quadrillion in an I/O keynote,
[01:09:36] quadrillion in an I/O keynote, but here we are.
[01:09:36] but here we are. Some out there might call this
[01:09:38] Some out there might call this token maxing, and there's
[01:09:39] token maxing, and there's probably some truth to it.
[01:09:41] probably some truth to it. I still think it tells an
[01:09:44] I still think it tells an important story, about our
[01:09:46] important story, about our products and how others are
[01:09:48] products and how others are building on it as well,
[01:09:49] building on it as well, especially our developers. Over
[01:09:51] especially our developers. Over 8.5 million of you are now
[01:09:51] 8.5 million of you are now building new apps and
[01:09:53] building new apps and experiences with our models
[01:09:56] experiences with our models monthly. And our model APIs are
[01:09:59] monthly. And our model APIs are now processing around 19 billion
[01:10:00] now processing around 19 billion tokens per minute.
[01:10:03] tokens per minute. Over the past 12 months, over
[01:10:06] Over the past 12 months, over 375 customers each processed
[01:10:10] 375 customers each processed more than 1 trillion tokens,
[01:10:11] more than 1 trillion tokens, representing incredible demand
[01:10:12] representing incredible demand for AI across our industry.
[01:10:18] for AI across our industry. We are, of course, also seeing
[01:10:19] We are, of course, also seeing incredible demand across our
[01:10:19] incredible demand across our products. We now have 13
[01:10:20] products. We now have 13 products with over 1 billion
[01:10:22] products with over 1 billion users each. Five of those have
[01:10:27] users each. Five of those have more than 3 billion users.
[01:10:28] more than 3 billion users. [Applause]
[01:10:31] [Applause] Our Gemini models are a big
[01:10:35] Our Gemini models are a big reason more people are using our
[01:10:37] reason more people are using our products, and why they are using
[01:10:39] products, and why they are using our products more. It all
[01:10:40] our products more. It all starts with Search, which is
[01:10:41] starts with Search, which is bringing the benefits of
[01:10:42] bringing the benefits of generative AI to more people
[01:10:43] generative AI to more people than any other product in the
[01:10:47] than any other product in the world.
[01:10:48] world. AI Overviews now has over
[01:10:48] AI Overviews now has over 2.5 billion monthly users, and
[01:10:51] 2.5 billion monthly users, and AI mode has been a revelation,
[01:10:54] AI mode has been a revelation, our biggest upgrade to Search
[01:10:55] our biggest upgrade to Search ever. People love it. In just
[01:10:56] ever. People love it. In just a year, it's already surpassed 1
[01:10:58] a year, it's already surpassed 1 billion monthly users.
[01:11:05] billion monthly users. When people use our AI-powered
[01:11:05] When people use our AI-powered features in Search, they use
[01:11:06] features in Search, they use Search more.
[01:11:06] Search more. I love how Search has become
[01:11:08] I love how Search has become less about individual queries
[01:11:11] less about individual queries and feels more like an ongoing
[01:11:12] and feels more like an ongoing conversation, giving you deeper
[01:11:13] conversation, giving you deeper insights and connecting you with
[01:11:16] insights and connecting you with the vastness of the Web.
[01:11:17] the vastness of the Web. Another place where we've been
[01:11:18] Another place where we've been rapidly innovating is in the
[01:11:22] rapidly innovating is in the Gemini app. Last year at I/O,
[01:11:23] Gemini app. Last year at I/O, the Gemini app had 400 million
[01:11:26] the Gemini app had 400 million monthly active users. Today, we
[01:11:27] monthly active users. Today, we have surpassed 900 million, more
[01:11:28] have surpassed 900 million, more than doubling in a year.
[01:11:30] than doubling in a year. [Applause]
[01:11:35] [Applause] In the same time, daily requests
[01:11:38] In the same time, daily requests have grown over seven times.
[01:11:40] have grown over seven times. It's incredible growth. We've
[01:11:42] It's incredible growth. We've been adding a lot of unique
[01:11:45] been adding a lot of unique features like Personal
[01:11:45] features like Personal Intelligence, which makes
[01:11:46] Intelligence, which makes responses more customized and
[01:11:47] responses more customized and helpful.
[01:11:48] helpful. And today, more than 50 billion
[01:11:50] And today, more than 50 billion images have been generated with
[01:11:51] images have been generated with our Nano Banana model.
[01:11:53] our Nano Banana model. It was a breakout star this past
[01:11:57] It was a breakout star this past year. I know you've all been
[01:11:58] year. I know you've all been having a lot of fun with it.
[01:11:58] having a lot of fun with it. Beyond the Gemini app, we are
[01:12:01] Beyond the Gemini app, we are also having much more natural
[01:12:02] also having much more natural conversations with Gemini,
[01:12:04] conversations with Gemini, directly inside many of our
[01:12:08] directly inside many of our products. Recently, Maps got
[01:12:10] products. Recently, Maps got its biggest upgrade in a decade,
[01:12:11] its biggest upgrade in a decade, including a new feature called
[01:12:14] including a new feature called Ask Maps. People are using it
[01:12:16] Ask Maps. People are using it to ask more complex and much
[01:12:20] to ask more complex and much longer questions.
[01:12:20] longer questions. Here's a real query from a
[01:12:21] Here's a real query from a parent: My kid just fell into
[01:12:24] parent: My kid just fell into the duckpond and the wedding
[01:12:27] the duckpond and the wedding starts in 30 minutes. Where can
[01:12:28] starts in 30 minutes. Where can I walk and buy her a new dress?
[01:12:32] I walk and buy her a new dress? I would like to hear how that
[01:12:35] I would like to hear how that turned out.
[01:12:37] turned out. We are also bringing this
[01:12:37] We are also bringing this conversational AI to two more
[01:12:40] conversational AI to two more products. First, Ask
[01:12:40] products. First, Ask YouTube. People come to
[01:12:41] YouTube. People come to YouTube every day to ask a
[01:12:43] YouTube every day to ask a lot of questions. There's a lot
[01:12:46] lot of questions. There's a lot of great videos, and sometimes,
[01:12:47] of great videos, and sometimes, it's hard to know where to
[01:12:48] it's hard to know where to start. Ask YouTube entirely
[01:12:52] start. Ask YouTube entirely reimagines the experience. Say
[01:12:53] reimagines the experience. Say you want to teach your
[01:12:55] you want to teach your 3-year-old how to ride a pedal
[01:12:59] 3-year-old how to ride a pedal bike, and they already know how
[01:13:03] bike, and they already know how to ride a balance bike. Just
[01:13:04] to ride a balance bike. Just ask YouTube. You will see a
[01:13:05] ask YouTube. You will see a couple of differences in
[01:13:05] couple of differences in results. The information is
[01:13:06] results. The information is digestible and easy to navigate.
[01:13:10] digestible and easy to navigate. You get an overview and helpful
[01:13:11] You get an overview and helpful tips. You will see videos that
[01:13:16] tips. You will see videos that best match your interests, so if
[01:13:17] best match your interests, so if you want to try a specific
[01:13:17] you want to try a specific method of teaching you can go
[01:13:23] method of teaching you can go deeper there. And best of all,
[01:13:23] deeper there. And best of all, it jumps right to the part of
[01:13:24] it jumps right to the part of the video most relevant for you,
[01:13:25] the video most relevant for you, brings back memories of teaching
[01:13:25] brings back memories of teaching my kids to ride.
[01:13:27] my kids to ride. And it remembers the context so
[01:13:29] And it remembers the context so you can follow up with questions
[01:13:35] you can follow up with questions like, should I buy one with
[01:13:36] like, should I buy one with handbrakes, or pedal brakes?
[01:13:36] handbrakes, or pedal brakes? Making it an ongoing
[01:13:37] Making it an ongoing conversation.
[01:13:38] conversation. It even lays out the information
[01:13:40] It even lays out the information in a table so it's easy to
[01:13:41] in a table so it's easy to compare. We are starting to
[01:13:44] compare. We are starting to test Ask YouTube now, and it
[01:13:45] test Ask YouTube now, and it will roll out broadly in the
[01:13:46] will roll out broadly in the U.S. this summer.
[01:13:51] U.S. this summer. [Applause]
[01:13:59] [Applause] So far, we have shown
[01:13:59] So far, we have shown conversational text queries.
[01:14:01] conversational text queries. There are a lot of times I want
[01:14:02] There are a lot of times I want to get things done at the speed
[01:14:03] to get things done at the speed of my voice. That is much more
[01:14:04] of my voice. That is much more possible today, thanks to
[01:14:05] possible today, thanks to technical leaps in our audio
[01:14:09] technical leaps in our audio model. A new feature called
[01:14:10] model. A new feature called Docs Live takes this to another
[01:14:13] Docs Live takes this to another level. To create a Doc with
[01:14:14] level. To create a Doc with Gemini before, you would have to
[01:14:16] Gemini before, you would have to type up a really precise prompt.
[01:14:19] type up a really precise prompt. With Docs Live, you can verbally
[01:14:22] With Docs Live, you can verbally brain-dump whatever is on your
[01:14:23] brain-dump whatever is on your mind and let Gemini do the rest.
[01:14:24] mind and let Gemini do the rest. Let's see it in action with the
[01:14:25] Let's see it in action with the demo from our product team.
[01:14:27] demo from our product team. This is all in real time, not
[01:14:28] This is all in real time, not sped up.
[01:14:32] sped up. >> All right.
[01:14:34] >> All right. Let's try this out.
[01:14:36] Let's try this out. So I just remembered I'm doing
[01:14:38] So I just remembered I'm doing an alumni talk for my high
[01:14:40] an alumni talk for my high school's career day tomorrow,
[01:14:41] school's career day tomorrow, and I need to come up with some
[01:14:41] and I need to come up with some talking points to explain what
[01:14:42] talking points to explain what do for a living as a software
[01:14:43] do for a living as a software engineer, but I'm not really
[01:14:44] engineer, but I'm not really sure where to start.
[01:14:52] sure where to start. Actually, can you pull my resume
[01:14:53] Actually, can you pull my resume from Drive?
[01:14:54] from Drive? Although that might be boring.
[01:14:54] Although that might be boring. Maybe can you come up with some
[01:14:57] Maybe can you come up with some funny analogies so it will be a
[01:14:58] funny analogies so it will be a more engaging talk for the
[01:15:02] more engaging talk for the students? And also, I think the
[01:15:02] students? And also, I think the school sent me an e-mail. I
[01:15:03] school sent me an e-mail. I think the subject is something
[01:15:06] think the subject is something like "career day logistics."
[01:15:09] like "career day logistics." Maybe grab the details from
[01:15:09] Maybe grab the details from there, throw them at the top of
[01:15:12] there, throw them at the top of the Doc, so I know where to go
[01:15:12] the Doc, so I know where to go and what time to get there.
[01:15:13] and what time to get there. Let's update those requirements
[01:15:14] Let's update those requirements and turn this straight into a
[01:15:15] and turn this straight into a draft.
[01:15:23] draft. [Applause]
[01:15:26] [Applause] >> This is cool, but it's a
[01:15:29] >> This is cool, but it's a little dense.
[01:15:29] little dense. Maybe format the analogies as a
[01:15:30] Maybe format the analogies as a table, so it's a little easier
[01:15:31] table, so it's a little easier for me to scan and also add a
[01:15:31] for me to scan and also add a note to tell the story about ho
[01:15:32] note to tell the story about ho my brother inspired me to becom
[01:15:33] my brother inspired me to becom a software engineer.
[01:15:37] a software engineer. Sort of at the top of my Doc an
[01:15:38] Sort of at the top of my Doc an bold it so I don't miss it.
[01:15:45] bold it so I don't miss it. [Applause]
[01:15:45] [Applause] Yeah, that looks great.
[01:15:54] Yeah, that looks great. >> SUNDAR PICHAI: In the future,
[01:15:56] >> SUNDAR PICHAI: In the future, you'll be able to create new
[01:15:57] you'll be able to create new Docs and edit them directly all
[01:16:00] Docs and edit them directly all with your voice.
[01:16:01] with your voice. Docs Live is rolling out for Pro
[01:16:02] Docs Live is rolling out for Pro and Ultra subscribers this
[01:16:05] and Ultra subscribers this summer and the same powerful
[01:16:07] summer and the same powerful voice capabilities will come to
[01:16:08] voice capabilities will come to Gmail and Google Keep then, too.
[01:16:12] Gmail and Google Keep then, too. [Applause]
[01:16:15] [Applause] Incredible to see the pace of
[01:16:17] Incredible to see the pace of innovation rolling out across
[01:16:20] innovation rolling out across our products.
[01:16:21] our products. Supporting all of this at scale
[01:16:23] Supporting all of this at scale for our users, while also
[01:16:24] for our users, while also serving enterprises and
[01:16:25] serving enterprises and developers around the world
[01:16:27] developers around the world requires massive investments in
[01:16:29] requires massive investments in infrastructure, and we've been
[01:16:33] infrastructure, and we've been investing for today and for the
[01:16:34] investing for today and for the future.
[01:16:34] future. In 2022, we were spending $31
[01:16:35] In 2022, we were spending $31 billion annually in capex.
[01:16:38] billion annually in capex. This year, we expect that number
[01:16:43] This year, we expect that number to be about six times that,
[01:16:47] to be about six times that, approximately $180 to $190
[01:16:48] approximately $180 to $190 billion. A key part of this
[01:16:49] billion. A key part of this investment is our custom
[01:16:50] investment is our custom silicon. A decade ago, we
[01:16:52] silicon. A decade ago, we announced our very first
[01:16:53] announced our very first commercial tensor processing
[01:16:57] commercial tensor processing unit or TPU on this I/O stage.
[01:16:58] unit or TPU on this I/O stage. Since then, we have transformed
[01:17:01] Since then, we have transformed how the industry builds for AI.
[01:17:03] how the industry builds for AI. We recently announced our eighth
[01:17:04] We recently announced our eighth generation of TPUs at Cloud
[01:17:05] generation of TPUs at Cloud Next.
[01:17:06] Next. For the first time, we have
[01:17:11] For the first time, we have taken a dual-chip approach with
[01:17:11] taken a dual-chip approach with specialized architectures for
[01:17:14] specialized architectures for training and inference: TPU 8t
[01:17:15] training and inference: TPU 8t and 8i.
[01:17:16] and 8i. While they may look similar,
[01:17:17] While they may look similar, they're actually pretty
[01:17:19] they're actually pretty different. 8t is optimized for
[01:17:24] different. 8t is optimized for large-scale pretraining, and
[01:17:24] large-scale pretraining, and it's nearly three times the raw
[01:17:25] it's nearly three times the raw computing power of our previous
[01:17:27] computing power of our previous generation.
[01:17:28] generation. And we've taken a fundamentally
[01:17:29] And we've taken a fundamentally different approach with our
[01:17:30] different approach with our training infrastructure. With
[01:17:31] training infrastructure. With JAX and Pathways, our training
[01:17:33] JAX and Pathways, our training is no longer constrained by the
[01:17:36] is no longer constrained by the limits of a single massive data
[01:17:39] limits of a single massive data center. Instead, we can now
[01:17:39] center. Instead, we can now seamlessly distribute training
[01:17:41] seamlessly distribute training across multiple sites, scaling
[01:17:44] across multiple sites, scaling across more than 1 million TPUs
[01:17:47] across more than 1 million TPUs globally.
[01:17:48] globally. This gives us the ability to
[01:17:49] This gives us the ability to create the largest training
[01:17:50] create the largest training cluster in the world. For model
[01:17:52] cluster in the world. For model builders, this means training
[01:17:53] builders, this means training larger, more capable models in
[01:17:55] larger, more capable models in weeks rather than months.
[01:17:59] weeks rather than months. TPU 8i is designed for
[01:18:02] TPU 8i is designed for inference. We have dramatically
[01:18:04] inference. We have dramatically improved speed at every step,
[01:18:05] improved speed at every step, because if you learn anything in
[01:18:08] because if you learn anything in 27 years of working on Search,
[01:18:11] 27 years of working on Search, it's that latency matters. To
[01:18:12] it's that latency matters. To give you a live sense of what
[01:18:13] give you a live sense of what the speed feels like, here's a
[01:18:18] the speed feels like, here's a Prompt on an upcoming Flash
[01:18:21] Prompt on an upcoming Flash model if it were running on 8i.
[01:18:24] model if it were running on 8i. I'll is to create a Chrome Dino
[01:18:28] I'll is to create a Chrome Dino game, Push Summit. The response
[01:18:30] game, Push Summit. The response is generated in real time.
[01:18:33] is generated in real time. As you watch, take a look at the
[01:18:34] As you watch, take a look at the tokens per second in the top
[01:18:34] tokens per second in the top right corner.
[01:18:35] right corner. The speed is pretty incredible,
[01:18:37] The speed is pretty incredible, nearly 1,500 tokens per second.
[01:18:39] nearly 1,500 tokens per second. It almost took longer to write
[01:18:40] It almost took longer to write out the request, and the game is
[01:18:42] out the request, and the game is pretty fun, too.
[01:18:47] pretty fun, too. [Applause]
[01:18:50] [Applause] In addition to speed, we're also
[01:18:52] In addition to speed, we're also thinking about scaling
[01:18:53] thinking about scaling sustainably. Both chips are
[01:18:54] sustainably. Both chips are more energy efficient,
[01:18:57] more energy efficient, delivering up to two times
[01:18:58] delivering up to two times better performance per watt.
[01:19:01] better performance per watt. TPUs have been hard at work
[01:19:03] TPUs have been hard at work training for I/O this year. I'm
[01:19:05] training for I/O this year. I'm told we have a behind-the-scenes
[01:19:06] told we have a behind-the-scenes look.
[01:19:19] look. >> Hey, good weekend?
[01:19:19] >> Hey, good weekend? >> Yeah.
[01:19:20] >> Yeah. Just folded proteins across rar
[01:19:22] Just folded proteins across rar oncology data sets.
[01:19:22] oncology data sets. You?
[01:19:24] You? >> Simulated the next 50 years
[01:19:25] >> Simulated the next 50 years of climate data.
[01:19:25] of climate data. >> I made a picture of a pug.
[01:19:26] >> I made a picture of a pug. >> What?
[01:19:29] >> What? >> You ever a see pug dressed
[01:19:30] >> You ever a see pug dressed like an accountant?
[01:19:31] like an accountant? >> No.
[01:19:36] >> No. >> You wanna?
[01:19:37] >> You wanna? >> All right, listen up TPUs.
[01:19:38] >> All right, listen up TPUs. I/O is starting soon, and we go
[01:19:40] I/O is starting soon, and we go a job to do.
[01:19:40] a job to do. Actually, we got trillions of
[01:19:41] Actually, we got trillions of jobs to do.
[01:19:43] jobs to do. So clear cache.
[01:19:44] So clear cache. Timmy!
[01:19:46] Timmy! >> Huh?
[01:19:46] >> Huh? >> Dry your fans and let's fire
[01:19:46] >> Dry your fans and let's fire it up.
[01:19:48] it up. ♪
[01:19:48] ♪ ♪
[01:20:11] ♪ >> Hey, what are you doing?
[01:20:12] >> Hey, what are you doing? >> I'm doing the montage thing.
[01:20:14] >> I'm doing the montage thing. >> Yeah, well, how about you
[01:20:15] >> Yeah, well, how about you montage your way down here and
[01:20:15] montage your way down here and help out?
[01:20:16] help out? >> What?
[01:20:19] >> What? Like now?
[01:20:19] Like now? All right, coming.
[01:20:21] All right, coming. ♪
[01:20:23] ♪ ♪
[01:20:37] ♪ >> SUNDAR PICHAI: I bet Timmy
[01:20:38] >> SUNDAR PICHAI: I bet Timmy TPU will be ready to teraflop
[01:20:41] TPU will be ready to teraflop right into bed after I/O.
[01:20:43] right into bed after I/O. Our compute innovations enable
[01:20:46] Our compute innovations enable our advancements. There are
[01:20:47] our advancements. There are three areas where I want to go
[01:20:48] three areas where I want to go deeper today to show you the
[01:20:51] deeper today to show you the progress in each: Models,
[01:20:51] progress in each: Models, coding, and agents.
[01:20:56] coding, and agents. Let's start with the exciting
[01:20:58] Let's start with the exciting progress in world models. With
[01:20:59] progress in world models. With world models, AI is moving from
[01:21:01] world models, AI is moving from predicting text to simulating
[01:21:03] predicting text to simulating reality. Demis and the team at
[01:21:05] reality. Demis and the team at Google DeepMind have been
[01:21:06] Google DeepMind have been working to push the boundaries
[01:21:08] working to push the boundaries of what these models can do.
[01:21:11] of what these models can do. Let me invite Demis out to share
[01:21:11] Let me invite Demis out to share more.
[01:21:13] more. ♪
[01:21:13] ♪ ♪
[01:21:14] ♪ [Applause]
[01:21:25] [Applause] >> DEMIS HASSABIS: Hi, everyone
[01:21:26] >> DEMIS HASSABIS: Hi, everyone It's really great to be here.
[01:21:29] It's really great to be here. Over the past year, AI
[01:21:30] Over the past year, AI capabilities have leaped
[01:21:32] capabilities have leaped forwards. We now have agents
[01:21:33] forwards. We now have agents that can plan and act on our
[01:21:36] that can plan and act on our behalf. And artificial general
[01:21:37] behalf. And artificial general intelligence is just a few years
[01:21:39] intelligence is just a few years away.
[01:21:40] away. Today, I'm excited to share the
[01:21:43] Today, I'm excited to share the progress we've made toward
[01:21:46] progress we've made toward building AGI. Last year, I
[01:21:48] building AGI. Last year, I outlined our vision of extending
[01:21:49] outlined our vision of extending Gemini's incredible multimodal
[01:21:50] Gemini's incredible multimodal capabilities to become a world
[01:21:54] capabilities to become a world model. AI that can understand
[01:21:57] model. AI that can understand and simulate the world. This is
[01:21:59] and simulate the world. This is a crucial aspect of achieving
[01:22:00] a crucial aspect of achieving AGI and will be important for
[01:22:03] AGI and will be important for everything from building AI
[01:22:03] everything from building AI assistants to training robots.
[01:22:06] assistants to training robots. Now, we're taking the next big
[01:22:08] Now, we're taking the next big step.
[01:22:10] step. I'm excited to announce Gemini
[01:22:17] I'm excited to announce Gemini Omni.
[01:22:17] Omni. [Applause]
[01:22:22] [Applause] Our new model that can create
[01:22:23] Our new model that can create anything from any input. It
[01:22:23] anything from any input. It combines Gemini's intelligence
[01:22:25] combines Gemini's intelligence with the best of our generative
[01:22:26] with the best of our generative media models for a new level of
[01:22:27] media models for a new level of world understanding,
[01:22:30] world understanding, multimodality and editing.
[01:22:32] multimodality and editing. Models like Veo, Nano Banana and
[01:22:35] Models like Veo, Nano Banana and Genie are able to create
[01:22:36] Genie are able to create extremely realistic videos,
[01:22:39] extremely realistic videos, images and interactive
[01:22:39] images and interactive simulations. Although not
[01:22:41] simulations. Although not perfect, they already
[01:22:42] perfect, they already demonstrate some impressive
[01:22:44] demonstrate some impressive notions of intuitive physics.
[01:22:46] notions of intuitive physics. And with Omni, we've now made
[01:22:49] And with Omni, we've now made even more progress. It's a
[01:22:50] even more progress. It's a step-change in simulating things
[01:22:53] step-change in simulating things like kinetic energy and gravity.
[01:22:54] like kinetic energy and gravity. Previous systems would have
[01:22:55] Previous systems would have found these concepts difficult.
[01:22:59] found these concepts difficult. Gemini's world knowledge and
[01:23:00] Gemini's world knowledge and reasoning really shine in Omni.
[01:23:03] reasoning really shine in Omni. It can translate complex ideas
[01:23:05] It can translate complex ideas into highly accurate videos.
[01:23:07] into highly accurate videos. So, for example, you can give it
[01:23:11] So, for example, you can give it a simple prompt like "make a
[01:23:12] a simple prompt like "make a claymation explainer of protein
[01:23:14] claymation explainer of protein folding" and get this.
[01:23:14] folding" and get this. >> Proteins start as chains of
[01:23:15] >> Proteins start as chains of amino acids. They fold into
[01:23:17] amino acids. They fold into patterns, like the alpha helix
[01:23:19] patterns, like the alpha helix and flat sections called beta
[01:23:25] and flat sections called beta sheets forming a perfect
[01:23:26] sheets forming a perfect three-dimensional shape.
[01:23:26] three-dimensional shape. >> DEMIS HASSABIS: But the
[01:23:27] >> DEMIS HASSABIS: But the initial generation is just the
[01:23:29] initial generation is just the start. The creative process is
[01:23:31] start. The creative process is rarely a single step; it's
[01:23:31] rarely a single step; it's usually iterative. Just like
[01:23:33] usually iterative. Just like Nano Banana redefined image
[01:23:35] Nano Banana redefined image editing, Omni gives you a much
[01:23:35] editing, Omni gives you a much more natural way to edit video
[01:23:38] more natural way to edit video with conversational language.
[01:23:42] with conversational language. What's really cool is you can
[01:23:46] What's really cool is you can give it your own videos -- for
[01:23:49] give it your own videos -- for example, this selfie -- and
[01:23:50] example, this selfie -- and change reality in a really fun
[01:23:51] change reality in a really fun way. You can easily adjust the
[01:23:54] way. You can easily adjust the details and style, or even add
[01:23:59] details and style, or even add elements. And the whole scene
[01:24:00] elements. And the whole scene morphs to reflect your new idea.
[01:24:03] morphs to reflect your new idea. [Applause]
[01:24:07] [Applause] A simple circle turns into a
[01:24:08] A simple circle turns into a black hole or an evening stroll
[01:24:10] black hole or an evening stroll comes to life. Anything becomes
[01:24:11] comes to life. Anything becomes a canvas for creating entirely
[01:24:13] a canvas for creating entirely new realities.
[01:24:15] new realities. Let's take a look at what Omni
[01:24:15] Let's take a look at what Omni can do.
[01:24:17] can do. ♪
[01:24:18] ♪ ♪
[01:25:04] ♪ >> DEMIS HASSABIS: We're
[01:25:05] >> DEMIS HASSABIS: We're starting with video, but over
[01:25:05] starting with video, but over time, Omni will be able to
[01:25:06] time, Omni will be able to generate any output from any
[01:25:07] generate any output from any input. This was always our goal
[01:25:08] input. This was always our goal with Gemini, and why we built it
[01:25:11] with Gemini, and why we built it to be multimodal from the very
[01:25:15] to be multimodal from the very start.
[01:25:25] start. It was a harder path but the
[01:25:26] It was a harder path but the foundation is now paying off.
[01:25:27] foundation is now paying off. Today, we're launching the first
[01:25:28] Today, we're launching the first model in the Omni family, Gemini
[01:25:29] model in the Omni family, Gemini Omni Flash. It's now available
[01:25:30] Omni Flash. It's now available across our products, and you'll
[01:25:31] across our products, and you'll hear more about this later.
[01:25:31] hear more about this later. We're excited about the progress
[01:25:32] We're excited about the progress we're making and we'll be
[01:25:33] we're making and we'll be sharing more about Omni Pro
[01:25:34] sharing more about Omni Pro soon.
[01:25:34] soon. We can't wait to see what you
[01:25:35] We can't wait to see what you create.
[01:25:35] create. Back to you, Sundar.
[01:25:36] Back to you, Sundar. [Applause]
[01:25:45] [Applause] >> SUNDAR PICHAI: Thanks, Demis.
[01:25:49] >> SUNDAR PICHAI: Thanks, Demis. There's huge progress.
[01:25:50] There's huge progress. As generative AI gets better, so
[01:25:52] As generative AI gets better, so does the need for greater
[01:25:54] does the need for greater transparency. Research shows
[01:25:55] transparency. Research shows people can correctly identify
[01:25:56] people can correctly identify high-quality deepfake videos
[01:26:00] high-quality deepfake videos only about a quarter of the
[01:26:01] only about a quarter of the time. Three years ago, we
[01:26:03] time. Three years ago, we launched SynthID, our watermark
[01:26:05] launched SynthID, our watermark that is invisible to the naked
[01:26:06] that is invisible to the naked eye. Since launch, SynthID has
[01:26:10] eye. Since launch, SynthID has now watermarked 100 billion
[01:26:13] now watermarked 100 billion images and videos, along with
[01:26:13] images and videos, along with 60,000 years of audio assets.
[01:26:16] 60,000 years of audio assets. Millions of people are using our
[01:26:21] Millions of people are using our SynthID Detector in the Gemini
[01:26:22] SynthID Detector in the Gemini app to verify AI-generated
[01:26:23] app to verify AI-generated content. And now, we are going
[01:26:26] content. And now, we are going a step further and adding
[01:26:29] a step further and adding Content Credentials Verification
[01:26:30] Content Credentials Verification across products. This will show
[01:26:32] across products. This will show you if the origin of the content
[01:26:33] you if the origin of the content was AI or a camera, and if it
[01:26:35] was AI or a camera, and if it has been edited with generative
[01:26:36] has been edited with generative AI tools.
[01:26:40] AI tools. In this example, Gemini can tell
[01:26:41] In this example, Gemini can tell this photo was captured with a
[01:26:47] this photo was captured with a Pixel camera and then edited
[01:26:48] Pixel camera and then edited with Google Photos.
[01:26:49] with Google Photos. We want more people to have easy
[01:26:50] We want more people to have easy access to these tools.
[01:26:52] access to these tools. So we are expanding both SynthID
[01:26:54] So we are expanding both SynthID and Content Credentials
[01:26:55] and Content Credentials Verification to Search and
[01:26:59] Verification to Search and Chrome.
[01:27:00] Chrome. [Applause]
[01:27:05] [Applause] You can simply circle to search
[01:27:07] You can simply circle to search or right-click in Chrome and ask
[01:27:10] or right-click in Chrome and ask "was this generated with AI?"
[01:27:11] "was this generated with AI?" And you'll get a clear response
[01:27:12] And you'll get a clear response along with other helpful
[01:27:13] along with other helpful context.
[01:27:13] context. For example, this image was
[01:27:14] For example, this image was making the rounds on social
[01:27:18] making the rounds on social media last year.
[01:27:20] media last year. [Laughter]
[01:27:22] [Laughter] It's obviously fake. I don't
[01:27:24] It's obviously fake. I don't eat hamburgers.
[01:27:28] eat hamburgers. It might not be as clear to
[01:27:28] It might not be as clear to everyone else. That's where
[01:27:30] everyone else. That's where these tools can be really
[01:27:33] these tools can be really useful. Of course, this only
[01:27:33] useful. Of course, this only works at scale if more partners
[01:27:34] works at scale if more partners decide to watermark their own
[01:27:35] decide to watermark their own AI-generated content.
[01:27:38] AI-generated content. NVIDIA signed on to SynthID last
[01:27:41] NVIDIA signed on to SynthID last year. And today, I'm thrilled
[01:27:42] year. And today, I'm thrilled to announce that Open AI, Kakao
[01:27:46] to announce that Open AI, Kakao and Eleven Labs are adopting
[01:27:47] and Eleven Labs are adopting SynthID, too.
[01:27:47] SynthID, too. [Applause]
[01:27:53] [Applause] It's great to see the
[01:27:54] It's great to see the cross-industry collaboration.
[01:27:55] cross-industry collaboration. And we're looking forward to
[01:27:57] And we're looking forward to expanding to more partners and
[01:27:59] expanding to more partners and setting the standard for
[01:28:05] setting the standard for transparency for the AI era.
[01:28:06] transparency for the AI era. That's a look at the progress we
[01:28:08] That's a look at the progress we are making with World Models.
[01:28:09] are making with World Models. Now, let's talk about what's
[01:28:11] Now, let's talk about what's next for our Gemini 3 Family.
[01:28:12] next for our Gemini 3 Family. Gemini 3 launched a few months
[01:28:13] Gemini 3 launched a few months ago with a full family of
[01:28:15] ago with a full family of models. It's been our most
[01:28:16] models. It's been our most adopted series yet. We have
[01:28:19] adopted series yet. We have loved seeing developers use
[01:28:21] loved seeing developers use Flash as a daily driver and
[01:28:23] Flash as a daily driver and build incredible experiences
[01:28:25] build incredible experiences with Pro's deep reasoning and
[01:28:26] with Pro's deep reasoning and multimodal capabilities. We've
[01:28:28] multimodal capabilities. We've been hard at work on improving
[01:28:31] been hard at work on improving these models, especially focused
[01:28:37] these models, especially focused on agentic coding, long-horizon
[01:28:38] on agentic coding, long-horizon tasks and real-world workflows.
[01:28:38] tasks and real-world workflows. And today, I'm excited to
[01:28:43] And today, I'm excited to introduce Gemini 3.5 Flash, our
[01:28:43] introduce Gemini 3.5 Flash, our first in a series of models
[01:28:48] first in a series of models combining frontier intelligence
[01:28:50] combining frontier intelligence with action.
[01:28:51] with action. Two things I would highlight.
[01:28:55] Two things I would highlight. First, when compared to 3.1 Pr
[01:29:00] First, when compared to 3.1 Pr Flash is better across the board
[01:29:01] Flash is better across the board in almost all benchmarks.
[01:29:04] in almost all benchmarks. It's made huge progress in
[01:29:06] It's made huge progress in coding, and look at that
[01:29:12] coding, and look at that extraordinary jump in GDP val
[01:29:16] extraordinary jump in GDP val a benchmark that captures many
[01:29:19] a benchmark that captures many real-world economically valuable
[01:29:19] real-world economically valuable tasks.
[01:29:19] tasks. Second, 3.5 Flash is a very
[01:29:20] Second, 3.5 Flash is a very capable model, at the frontier
[01:29:21] capable model, at the frontier and comparable to the best
[01:29:26] and comparable to the best models, but much faster, which
[01:29:27] models, but much faster, which is why when you look at the
[01:29:27] is why when you look at the intelligence versus output
[01:29:28] intelligence versus output speed, it's in a league of its
[01:29:29] speed, it's in a league of its own in the top right quadrant.
[01:29:33] own in the top right quadrant. When looking at output tokens
[01:29:36] When looking at output tokens per second, it's four times
[01:29:36] per second, it's four times faster than other frontier
[01:29:37] faster than other frontier models, and it's an incredible
[01:29:38] models, and it's an incredible delight to use.
[01:29:39] delight to use. The new model has been a
[01:29:40] The new model has been a game-changer for us internally
[01:29:40] game-changer for us internally at Google. We've been using 3.5
[01:29:42] at Google. We've been using 3.5 Flash with the reimagined
[01:29:45] Flash with the reimagined version of our agent-first
[01:29:47] version of our agent-first development platform,
[01:29:49] development platform, Antigravity. And it's
[01:29:52] Antigravity. And it's dramatically accelerated how we
[01:29:53] dramatically accelerated how we build.
[01:29:54] build. In March, we were processing
[01:29:55] In March, we were processing half a trillion tokens a day
[01:29:59] half a trillion tokens a day internally for our developers.
[01:29:59] internally for our developers. We've been doubling every few
[01:30:01] We've been doubling every few weeks. And now, we are
[01:30:02] weeks. And now, we are processing more than 3 trillion
[01:30:03] processing more than 3 trillion tokens a day.
[01:30:05] tokens a day. That scale has created a
[01:30:07] That scale has created a powerful feedback loop, which is
[01:30:11] powerful feedback loop, which is helping us improve 3.5.
[01:30:12] helping us improve 3.5. And, of course, we are bringing
[01:30:14] And, of course, we are bringing it today to developers in
[01:30:14] it today to developers in Antigravity. Varun is going to
[01:30:15] Antigravity. Varun is going to share more.
[01:30:17] share more. ♪
[01:30:17] ♪ ♪
[01:30:18] ♪ [Applause]
[01:30:25] [Applause] >> VARUN MOHAN: It's truly an
[01:30:26] >> VARUN MOHAN: It's truly an amazing time to be a builder.
[01:30:27] amazing time to be a builder. We've moved beyond AI tools that
[01:30:30] We've moved beyond AI tools that help us write, to agents that
[01:30:31] help us write, to agents that help us act.
[01:30:32] help us act. These agents have lowered the
[01:30:35] These agents have lowered the barrier to development so much
[01:30:35] barrier to development so much that anyone can be a builder,
[01:30:38] that anyone can be a builder, even busy CEOs. In fact, Sundar
[01:30:41] even busy CEOs. In fact, Sundar used Google Antigravity last
[01:30:42] used Google Antigravity last week to fix a bug in the Google
[01:30:47] week to fix a bug in the Google codebase. When we launched the
[01:30:50] codebase. When we launched the Antigravity IDE in November, we
[01:30:51] Antigravity IDE in November, we made sure to nail the core
[01:30:52] made sure to nail the core agent-powered IDE experience and
[01:30:57] agent-powered IDE experience and added an experimental
[01:30:59] added an experimental first-of-its-kind agent for
[01:31:00] first-of-its-kind agent for Surface as a glimpse of where we
[01:31:01] Surface as a glimpse of where we are heading.
[01:31:01] are heading. Millions of you already use
[01:31:05] Millions of you already use Antigravity, and so we're
[01:31:06] Antigravity, and so we're Excited to bring you even more
[01:31:09] Excited to bring you even more today.
[01:31:09] today. We've seen the diversity of
[01:31:10] We've seen the diversity of tasks, preferences and, frankly,
[01:31:11] tasks, preferences and, frankly, product feedback, and we've
[01:31:11] product feedback, and we've taken all of these learnings,
[01:31:13] taken all of these learnings, and now, Antigravity is
[01:31:17] and now, Antigravity is massively expanding its suite of
[01:31:18] massively expanding its suite of agentic capabilities, surfaces,
[01:31:21] agentic capabilities, surfaces, integration, and product
[01:31:21] integration, and product features.
[01:31:24] features. To start, we're launching a full
[01:31:33] To start, we're launching a full CLI experience: an Antigravity
[01:31:34] CLI experience: an Antigravity SDK, native voice support with
[01:31:35] SDK, native voice support with Gemini audio models and
[01:31:35] Gemini audio models and integration with many surfaces
[01:31:36] integration with many surfaces and platforms, like Android,
[01:31:39] and platforms, like Android, Firebase, and Google AI Studio.
[01:31:40] Firebase, and Google AI Studio. [Applause]
[01:31:48] [Applause] All of this is available for you
[01:31:49] All of this is available for you to try today. Most importantly,
[01:31:52] to try today. Most importantly, at the core is Antigravity 2.0,
[01:31:55] at the core is Antigravity 2.0, a new stand-alone desktop
[01:31:56] a new stand-alone desktop application that delivers fully
[01:31:57] application that delivers fully on that original glimpse of a
[01:32:00] on that original glimpse of a truly agent-optimized
[01:32:03] truly agent-optimized experience.
[01:32:04] experience. The new Antigravity is
[01:32:05] The new Antigravity is unabashedly agent first,
[01:32:07] unabashedly agent first, focusing on the core agent
[01:32:07] focusing on the core agent conversation, agent-produced
[01:32:10] conversation, agent-produced artifacts and multi-agent
[01:32:15] artifacts and multi-agent orchestration.
[01:32:16] orchestration. Like I said: Unabashedly agent
[01:32:17] Like I said: Unabashedly agent first.
[01:32:17] first. As Sundar mentioned, this is the
[01:32:18] As Sundar mentioned, this is the exact experience teams here at
[01:32:19] exact experience teams here at Google have been using to drive
[01:32:21] Google have been using to drive massive value.
[01:32:24] massive value. The Antigravity Agent Harness,
[01:32:24] The Antigravity Agent Harness, the invisible framework for
[01:32:25] the invisible framework for Gemini to perform real-world
[01:32:27] Gemini to perform real-world tasks, has become much more
[01:32:30] tasks, has become much more powerful with new core
[01:32:31] powerful with new core primitives, such as subagents,
[01:32:32] primitives, such as subagents, hooks, and asynchronous task
[01:32:36] hooks, and asynchronous task management.
[01:32:36] management. And underpinning all of this are
[01:32:38] And underpinning all of this are the Gemini models, with Gemini
[01:32:40] the Gemini models, with Gemini 3.5 Flash having been
[01:32:42] 3.5 Flash having been co-optimized with the
[01:32:44] co-optimized with the Antigravity Harness.
[01:32:47] Antigravity Harness. Of course, being engineers, we
[01:32:48] Of course, being engineers, we were curious to see how far we
[01:32:49] were curious to see how far we could push the limits of what
[01:32:49] could push the limits of what was possible with these agents
[01:32:51] was possible with these agents and models.
[01:32:52] and models. So using the new Antigravity and
[01:32:55] So using the new Antigravity and Gemini 3.5 Flash, we asked our
[01:32:57] Gemini 3.5 Flash, we asked our agents to take on what we
[01:32:59] agents to take on what we consider to be a highly complex
[01:33:03] consider to be a highly complex and impressive task: Build a
[01:33:06] and impressive task: Build a working operating system from
[01:33:07] working operating system from scratch. We were surprised by
[01:33:07] scratch. We were surprised by what we found.
[01:33:10] what we found. Asynchronously, Antigravity
[01:33:12] Asynchronously, Antigravity broke down the challenge into a
[01:33:13] broke down the challenge into a cohesive plan, tackled tasks via
[01:33:14] cohesive plan, tackled tasks via parallel subagents, generated,
[01:33:16] parallel subagents, generated, executed, and iterated over its
[01:33:20] executed, and iterated over its very own tests. Over 12 hours,
[01:33:23] very own tests. Over 12 hours, 93 subagents working in parallel
[01:33:27] 93 subagents working in parallel made over 15,000 model requests
[01:33:29] made over 15,000 model requests and processed 2.6 billion tokens
[01:33:31] and processed 2.6 billion tokens to take an initially empty
[01:33:32] to take an initially empty project to the core of a
[01:33:33] project to the core of a functioning operating system
[01:33:38] functioning operating system [Applause]
[01:33:45] [Applause] This was not possible on Gemini
[01:33:50] This was not possible on Gemini 3.1 Pro, but thanks to the
[01:33:50] 3.1 Pro, but thanks to the performance and cost
[01:33:51] performance and cost efficiencies of Gemini 3.5
[01:33:52] efficiencies of Gemini 3.5 Flash, building an entirely
[01:33:53] Flash, building an entirely functional operating system
[01:33:55] functional operating system consumed less than $1,000 of API
[01:33:59] consumed less than $1,000 of API credits.
[01:34:05] credits. [Applause]
[01:34:07] [Applause] The Antigravity agents wrote
[01:34:08] The Antigravity agents wrote every line of code from the
[01:34:09] every line of code from the scheduler to the memory
[01:34:15] scheduler to the memory management to the file system;
[01:34:15] management to the file system; generated, audited and tested
[01:34:16] generated, audited and tested entirely by an autonomous team
[01:34:17] entirely by an autonomous team of agents.
[01:34:18] of agents. To put this in context,
[01:34:23] To put this in context, developing an OS from scratch is
[01:34:29] developing an OS from scratch is notoriously brutal and can take
[01:34:29] notoriously brutal and can take many months to build.
[01:34:30] many months to build. We weren't just building an
[01:34:31] We weren't just building an application, but a functioning
[01:34:31] application, but a functioning operating system that
[01:34:32] operating system that applications can run on.
[01:34:33] applications can run on. Let's take this live and
[01:34:34] Let's take this live and actually show the operating
[01:34:35] actually show the operating system in action.
[01:34:38] system in action. So here, I'm actually in a
[01:34:39] So here, I'm actually in a terminal window in the OS that
[01:34:41] terminal window in the OS that Antigravity built. It's not
[01:34:43] Antigravity built. It's not super easy to demo a working
[01:34:44] super easy to demo a working operating system so let's try
[01:34:45] operating system so let's try something fun to see if it
[01:34:47] something fun to see if it works.
[01:34:47] works. One of the interesting utilities
[01:34:49] One of the interesting utilities you can install is SL, a common
[01:34:52] you can install is SL, a common typo for LS. Without spoiling
[01:34:53] typo for LS. Without spoiling it, here it goes.
[01:34:58] it, here it goes. It works. You could see a cool
[01:34:59] It works. You could see a cool locomotive passing through the
[01:35:01] locomotive passing through the screen with the Antigravity logo
[01:35:04] screen with the Antigravity logo on it. But clearly, this isn't
[01:35:07] on it. But clearly, this isn't a real OS unless I can play
[01:35:07] a real OS unless I can play Doom.
[01:35:13] Doom. So I try running Doom right now,
[01:35:16] So I try running Doom right now, it just doesn't work. Turns out
[01:35:21] it just doesn't work. Turns out that this is missing some
[01:35:21] that this is missing some necessary video and keyboard
[01:35:23] necessary video and keyboard drivers.
[01:35:26] drivers. So let's just try to fix it in
[01:35:28] So let's just try to fix it in the new Antigravity.
[01:35:29] the new Antigravity. I have a prompt prepared and I'm
[01:35:31] I have a prompt prepared and I'm going to paste it in.
[01:35:36] going to paste it in. While it's running, let's take a
[01:35:40] While it's running, let's take a tour in Antigravity 2.0.
[01:35:41] tour in Antigravity 2.0. As you can see, Antigravity 2.0
[01:35:41] As you can see, Antigravity 2.0 is fully agent first with all
[01:35:42] is fully agent first with all the agent conversations on the
[01:35:43] the agent conversations on the side and all the projects, as
[01:35:44] side and all the projects, as well. Let's take a quick peek
[01:35:44] well. Let's take a quick peek at one of the conversations I
[01:35:46] at one of the conversations I previously had.
[01:35:48] previously had. I was curious for this demo
[01:35:50] I was curious for this demo about some fun facts about Doom.
[01:35:51] about some fun facts about Doom. So I asked the agent to do some
[01:35:54] So I asked the agent to do some research. It generated and
[01:35:55] research. It generated and plots on the right side of the
[01:35:57] plots on the right side of the panel and then finally, it also
[01:35:58] panel and then finally, it also generated a cool artifact for
[01:35:59] generated a cool artifact for me.
[01:36:00] me. It even generated an infographic
[01:36:02] It even generated an infographic using Nano Banana Pro, it
[01:36:04] using Nano Banana Pro, it generated some graphs using some
[01:36:06] generated some graphs using some code it just wrote, and then
[01:36:07] code it just wrote, and then afterwards, it generated some
[01:36:11] afterwards, it generated some cool tables.
[01:36:12] cool tables. As you can see, Antigravity 2.0
[01:36:13] As you can see, Antigravity 2.0 is unabashedly agent first an
[01:36:15] is unabashedly agent first an Has been optimized to be the
[01:36:17] Has been optimized to be the best surface for you to interact
[01:36:19] best surface for you to interact with agents. Let's take a look
[01:36:21] with agents. Let's take a look at the previous conversation to
[01:36:21] at the previous conversation to see how it's going.
[01:36:23] see how it's going. Antigravity ended up doing a
[01:36:24] Antigravity ended up doing a whole host of research, ended up
[01:36:26] whole host of research, ended up writing over 100 lines of code
[01:36:28] writing over 100 lines of code and then finally the built the
[01:36:30] and then finally the built the operating system.
[01:36:31] operating system. Let's take a peek and see if it
[01:36:32] Let's take a peek and see if it works. Moment of truth.
[01:36:35] works. Moment of truth. Amazing.
[01:36:36] Amazing. [Applause]
[01:36:43] [Applause] That never gets old.
[01:36:47] That never gets old. While playing Doom on an
[01:36:48] While playing Doom on an operating system that
[01:36:49] operating system that Antigravity built is both fun
[01:36:50] Antigravity built is both fun and impressive, it hasn't
[01:36:54] and impressive, it hasn't stopped there. We've tasked the
[01:36:55] stopped there. We've tasked the agents to build a photo editing
[01:36:58] agents to build a photo editing suite, a realtime messaging app
[01:36:59] suite, a realtime messaging app and a multiuser collaboration
[01:37:00] and a multiuser collaboration platform, all with the same
[01:37:02] platform, all with the same results. Multiday engineering
[01:37:03] results. Multiday engineering efforts are collapsing into
[01:37:06] efforts are collapsing into hours, if not minutes.
[01:37:08] hours, if not minutes. This was made possible by the
[01:37:09] This was made possible by the new subagent teamwork
[01:37:10] new subagent teamwork capability.
[01:37:11] capability. We're excited to bring this to
[01:37:12] We're excited to bring this to you as an early research preview
[01:37:16] you as an early research preview in Antigravity.
[01:37:18] in Antigravity. [Applause]
[01:37:23] [Applause] Last but not least, 3.5 Flash is
[01:37:27] Last but not least, 3.5 Flash is incredibly fast.
[01:37:27] incredibly fast. Like Sundar said, it's four
[01:37:30] Like Sundar said, it's four times faster than other frontier
[01:37:32] times faster than other frontier models, but, as we know, agentic
[01:37:33] models, but, as we know, agentic coding is a token monster. So
[01:37:34] coding is a token monster. So we've taken it to another level
[01:37:36] we've taken it to another level in Antigravity. We've optimized
[01:37:38] in Antigravity. We've optimized Flash to be not just four times,
[01:37:44] Flash to be not just four times, but 12 times faster in
[01:37:45] but 12 times faster in Antigravity.
[01:37:47] Antigravity. [Applause]
[01:37:50] [Applause] And we're thrilled to give you
[01:37:51] And we're thrilled to give you all a taste of this experience,
[01:37:51] all a taste of this experience, starting today.
[01:37:53] starting today. What we showed you today isn't
[01:37:57] What we showed you today isn't just a vision; it's how we're
[01:37:58] just a vision; it's how we're building Antigravity to be the
[01:37:59] building Antigravity to be the most complete agentic
[01:38:02] most complete agentic development platform for
[01:38:03] development platform for everyone. We're doing it with
[01:38:05] everyone. We're doing it with the Google ecosystem, whether
[01:38:08] the Google ecosystem, whether it's integrating the tech stacks
[01:38:13] it's integrating the tech stacks and tools that you already use
[01:38:15] and tools that you already use or using Antigravity's Agent
[01:38:16] or using Antigravity's Agent Harness to power the next crop
[01:38:16] Harness to power the next crop of agentic experiences across
[01:38:17] of agentic experiences across Google products.
[01:38:18] Google products. Today, Antigravity 2.0 is
[01:38:19] Today, Antigravity 2.0 is available globally for everyone.
[01:38:22] available globally for everyone. Join us in the Developer Keynote
[01:38:22] Join us in the Developer Keynote as we demo all the new
[01:38:24] as we demo all the new capabilities.
[01:38:25] capabilities. Back to you, Sundar.
[01:38:26] Back to you, Sundar. [Applause]
[01:38:32] [Applause] >> SUNDAR PICHAI: Thanks, Varun.
[01:38:34] >> SUNDAR PICHAI: Thanks, Varun. It's incredible that Varun's
[01:38:36] It's incredible that Varun's entire OS was built by a team of
[01:38:39] entire OS was built by a team of subagents in just 12 hours for
[01:38:41] subagents in just 12 hours for such a low cost.
[01:38:42] such a low cost. What's amazing about Flash is
[01:38:45] What's amazing about Flash is how it delivers frontier-level
[01:38:47] how it delivers frontier-level capabilities at less than half
[01:38:49] capabilities at less than half the price of comparable frontier
[01:38:51] the price of comparable frontier models.
[01:38:52] models. We've heard that many companies
[01:38:54] We've heard that many companies are already blowing through
[01:38:57] are already blowing through their annual token budgets, and
[01:38:58] their annual token budgets, and it's only May.
[01:38:59] it's only May. If companies used a mix of Flash
[01:39:00] If companies used a mix of Flash and other frontier models, they
[01:39:01] and other frontier models, they could save a lot of money. To
[01:39:02] could save a lot of money. To put this in perspective, the top
[01:39:03] put this in perspective, the top companies in Google Cloud are
[01:39:04] companies in Google Cloud are processing about 1 trillion
[01:39:06] processing about 1 trillion tokens a day.
[01:39:10] tokens a day. If they shifted 80% of their
[01:39:13] If they shifted 80% of their workloads from other frontier
[01:39:16] workloads from other frontier models to 3.5 Flash, they would
[01:39:16] models to 3.5 Flash, they would save over $1 billion annually.
[01:39:20] save over $1 billion annually. Real savings they can pour back
[01:39:21] Real savings they can pour back into their company.
[01:39:27] into their company. Gemini 3.5 Flash is available
[01:39:28] Gemini 3.5 Flash is available for everyone today, across our
[01:39:28] for everyone today, across our products, and APIs.
[01:39:30] products, and APIs. [Applause]
[01:39:33] [Applause] We're also very excited for 3.5
[01:39:37] We're also very excited for 3.5 Pro. We are using it
[01:39:37] Pro. We are using it internally. It's showing great
[01:39:40] internally. It's showing great improvements. I know you can't
[01:39:41] improvements. I know you can't wait to get your hands on it.
[01:39:45] wait to get your hands on it. Give us until next month to get
[01:39:46] Give us until next month to get it to you.
[01:39:48] it to you. Gemini 3.5 and Antigravity are
[01:39:52] Gemini 3.5 and Antigravity are unlocking a new world of agents,
[01:39:53] unlocking a new world of agents, and agentic capabilities. We've
[01:39:54] and agentic capabilities. We've been bringing agents to
[01:39:55] been bringing agents to developers and enterprises for a
[01:39:59] developers and enterprises for a while. And now, we are super
[01:39:59] while. And now, we are super focused on bringing the power of
[01:40:02] focused on bringing the power of agents, safely and securely, to
[01:40:04] agents, safely and securely, to consumers, so that they work for
[01:40:07] consumers, so that they work for everyone.
[01:40:08] everyone. You will see many agentic
[01:40:14] You will see many agentic experiences across many of our
[01:40:15] experiences across many of our products today. I'm
[01:40:15] products today. I'm particularly excited for what we
[01:40:16] particularly excited for what we are bringing right into the
[01:40:17] are bringing right into the Gemini app.
[01:40:21] Gemini app. Introducing Gemini Spark.
[01:40:23] Introducing Gemini Spark. [Applause]
[01:40:27] [Applause] It's your personal AI agent that
[01:40:27] It's your personal AI agent that helps you navigate your digital
[01:40:29] helps you navigate your digital life, taking action on your
[01:40:32] life, taking action on your behalf and under your direction.
[01:40:36] behalf and under your direction. It runs on dedicated virtual
[01:40:38] It runs on dedicated virtual machines on Google Cloud, and it
[01:40:44] machines on Google Cloud, and it is 24/7. And yes, you can close
[01:40:46] is 24/7. And yes, you can close your laptop.
[01:40:48] your laptop. [Applause]
[01:40:49] [Applause] It's powered by Gemini 3.5, and
[01:40:51] It's powered by Gemini 3.5, and the Google Antigravity Harness,
[01:40:55] the Google Antigravity Harness, which allows it to perform
[01:40:55] which allows it to perform long-running tasks easily in the
[01:40:58] long-running tasks easily in the background. Spark integrates
[01:41:00] background. Spark integrates seamlessly with tools, starting
[01:41:01] seamlessly with tools, starting with our own, and in the coming
[01:41:03] with our own, and in the coming weeks, with third-party tools
[01:41:05] weeks, with third-party tools through MCP.
[01:41:07] through MCP. And you can work with Spark
[01:41:10] And you can work with Spark however is most convenient, in
[01:41:11] however is most convenient, in the Gemini app or soon through
[01:41:13] the Gemini app or soon through e-mail and chat.
[01:41:14] e-mail and chat. Let's have Josh come up and
[01:41:15] Let's have Josh come up and share more.
[01:41:16] share more. ♪
[01:41:17] ♪ ♪
[01:41:19] ♪ [Applause]
[01:41:29] [Applause] >> JOSH WOODWARD: Thanks,
[01:41:30] >> JOSH WOODWARD: Thanks, Sundar. It's great to see
[01:41:31] Sundar. It's great to see everyone and let me show you how
[01:41:32] everyone and let me show you how Spark works with some examples
[01:41:33] Spark works with some examples from my personal life.
[01:41:35] from my personal life. So here we are, we have the new
[01:41:39] So here we are, we have the new Gemini open, it's been
[01:41:40] Gemini open, it's been completely redesigned. We'll
[01:41:41] completely redesigned. We'll talk about that later in the
[01:41:42] talk about that later in the show, and I want take you into
[01:41:44] show, and I want take you into Spark here and what you can see
[01:41:44] Spark here and what you can see immediately is a dashboard with
[01:41:45] immediately is a dashboard with all the different tasks that I
[01:41:46] all the different tasks that I have going on in the background.
[01:41:47] have going on in the background. It allows you to check in on
[01:41:48] It allows you to check in on these things, and I'll paste in
[01:41:50] these things, and I'll paste in a task right off the bat. This
[01:41:52] a task right off the bat. This is a pretty straightforward
[01:41:53] is a pretty straightforward example, but it's so useful.
[01:41:54] example, but it's so useful. Help me draft an e-mail to the
[01:41:58] Help me draft an e-mail to the team, compile everything about
[01:41:59] team, compile everything about our recent Gemini live launches
[01:42:01] our recent Gemini live launches and wins from the last week.
[01:42:04] and wins from the last week. Use slash ghost writer so
[01:42:05] Use slash ghost writer so there's a few things happening
[01:42:07] there's a few things happening here. Compile everything. This
[01:42:09] here. Compile everything. This goes across Docs, e-mail, your
[01:42:12] goes across Docs, e-mail, your chats and grabs the most
[01:42:14] chats and grabs the most important information that you
[01:42:14] important information that you need for this update. It also
[01:42:17] need for this update. It also is going to use all of the stuff
[01:42:19] is going to use all of the stuff you see in the time period of
[01:42:21] you see in the time period of the last week with the slash
[01:42:22] the last week with the slash ghost writer. That's a personal
[01:42:24] ghost writer. That's a personal skill that I've written so the
[01:42:26] skill that I've written so the e-mail sounds like me.
[01:42:27] e-mail sounds like me. And what's great is that with
[01:42:29] And what's great is that with Spark, you can upload your
[01:42:31] Spark, you can upload your favorite skills you find online.
[01:42:33] favorite skills you find online. So we're going to let this run
[01:42:34] So we're going to let this run in the background. You can see
[01:42:36] in the background. You can see it's already started doing
[01:42:38] it's already started doing various tool calls, and I'm
[01:42:39] various tool calls, and I'm going to switch over to another
[01:42:40] going to switch over to another one from our personal life.
[01:42:41] one from our personal life. We're planning a big block
[01:42:43] We're planning a big block party, and you can see here,
[01:42:43] party, and you can see here, this is a pretty complex prompt
[01:42:46] this is a pretty complex prompt We want help grabbing all the
[01:42:48] We want help grabbing all the RSVPs, keep a list of who's
[01:42:51] RSVPs, keep a list of who's bringing what, remember to
[01:42:52] bringing what, remember to e-mail those neighbors who
[01:42:53] e-mail those neighbors who haven't signed up yet.
[01:42:55] haven't signed up yet. And what's amazing here is Spark
[01:42:57] And what's amazing here is Spark will go through, step by step,
[01:43:00] will go through, step by step, look at all these steps, all the
[01:43:01] look at all these steps, all the time it saves you going through
[01:43:04] time it saves you going through and again work across the
[01:43:05] and again work across the various skills and apps that you
[01:43:07] various skills and apps that you have.
[01:43:07] have. And what's really amazing is it
[01:43:09] And what's really amazing is it will break it down and also be
[01:43:11] will break it down and also be able to generate files for you.
[01:43:12] able to generate files for you. So the first one here, this is a
[01:43:14] So the first one here, this is a live RSVP tracker, right in
[01:43:18] live RSVP tracker, right in Google Sheets. You can see that
[01:43:19] Google Sheets. You can see that it shows who's confirmed and who
[01:43:21] it shows who's confirmed and who hasn't.
[01:43:21] hasn't. What's amazing about this is it
[01:43:23] What's amazing about this is it will actually update, because
[01:43:24] will actually update, because it's connected to Gmail. So
[01:43:27] it's connected to Gmail. So when L. Thompson wrote 8RSVPs,
[01:43:30] when L. Thompson wrote 8RSVPs, it will update, which is pretty
[01:43:32] it will update, which is pretty amazing.
[01:43:33] amazing. The other thing is it keeps
[01:43:34] The other thing is it keeps track of all the different
[01:43:37] track of all the different guests, as well as sending
[01:43:38] guests, as well as sending follow-up reminders to who
[01:43:38] follow-up reminders to who hasn't signed up yet.
[01:43:40] hasn't signed up yet. So again, this will happen. It
[01:43:41] So again, this will happen. It will create the drafts and under
[01:43:43] will create the drafts and under my control, I can send them.
[01:43:46] my control, I can send them. And then finally what the prompt
[01:43:47] And then finally what the prompt did is it created a hype deck
[01:43:50] did is it created a hype deck for the block party and you can
[01:43:51] for the block party and you can see it creates right in Google
[01:43:54] see it creates right in Google Slides, perfectly integrated and
[01:43:55] Slides, perfectly integrated and you can see it even pulls in
[01:43:56] you can see it even pulls in things like our giant bounce
[01:43:57] things like our giant bounce house that's going to be in the
[01:43:59] house that's going to be in the cul-de-sac.
[01:43:59] cul-de-sac. Now, all of this is happening in
[01:44:01] Now, all of this is happening in the background and under my
[01:44:05] the background and under my control.
[01:44:05] control. And what's amazing is Gemini can
[01:44:07] And what's amazing is Gemini can even go a step further and pull
[01:44:09] even go a step further and pull out things like your
[01:44:10] out things like your neighborhood homeowners
[01:44:11] neighborhood homeowners association won't let you set
[01:44:12] association won't let you set this up before Friday afternoon
[01:44:14] this up before Friday afternoon on June 5th. That's pulling
[01:44:15] on June 5th. That's pulling from a file in my Google Drive.
[01:44:18] from a file in my Google Drive. So it's incredibly helpful about
[01:44:18] So it's incredibly helpful about how it pulls it all together.
[01:44:22] how it pulls it all together. Now, that's Spark working on a
[01:44:24] Now, that's Spark working on a laptop.
[01:44:24] laptop. Spark is also amazing on the go,
[01:44:27] Spark is also amazing on the go, and it works across both Android
[01:44:28] and it works across both Android and iPhone. So here you can
[01:44:30] and iPhone. So here you can see on my phone here I'll open
[01:44:32] see on my phone here I'll open it up, and I can go into Spark.
[01:44:35] it up, and I can go into Spark. You see both of the tasks we
[01:44:36] You see both of the tasks we just went through, they sync
[01:44:38] just went through, they sync across all of your devices,
[01:44:40] across all of your devices, which is so helpful and Spark is
[01:44:41] which is so helpful and Spark is just amazing at brain-dumping
[01:44:42] just amazing at brain-dumping things on your mind.
[01:44:44] things on your mind. If you're super busy, it's
[01:44:46] If you're super busy, it's almost, you can just throw tasks
[01:44:47] almost, you can just throw tasks over your shoulder.
[01:44:48] over your shoulder. Spark will catch them and then
[01:44:50] Spark will catch them and then run with them. So watch this.
[01:44:53] run with them. So watch this. Start a few threads for me. The
[01:44:55] Start a few threads for me. The first one, find all the upcoming
[01:44:57] first one, find all the upcoming meetings with Sundar and turn
[01:44:58] meetings with Sundar and turn them all hot pink so I don't
[01:45:00] them all hot pink so I don't miss them.
[01:45:04] miss them. Write The second one last nightt
[01:45:10] Write The second one last nightt our new neighbor, John. Write a
[01:45:13] our new neighbor, John. Write a note to him and his him and his
[01:45:16] note to him and his him and his family, invite them to our block
[01:45:18] family, invite them to our block party, because they weren't on
[01:45:19] party, because they weren't on our list originally. The third
[01:45:20] our list originally. The third one, create a document with the
[01:45:22] one, create a document with the top things my wife, and I need
[01:45:23] top things my wife, and I need to do for the kids before the
[01:45:24] to do for the kids before the end of the school year.
[01:45:26] end of the school year. Categorize it by deadline and
[01:45:28] Categorize it by deadline and priority and make it easy to
[01:45:29] priority and make it easy to digest. I don't want to miss
[01:45:30] digest. I don't want to miss anything. All right. We'll
[01:45:31] anything. All right. We'll send that in and you can see at
[01:45:32] send that in and you can see at the speed of my voice it's
[01:45:33] the speed of my voice it's taking that one task, and it
[01:45:35] taking that one task, and it will capture all of that context
[01:45:37] will capture all of that context as fast as I can talk.
[01:45:38] as fast as I can talk. It starts out as a single thread
[01:45:40] It starts out as a single thread here and in the background it's
[01:45:41] here and in the background it's actually going to go through and
[01:45:43] actually going to go through and break down those into individual
[01:45:45] break down those into individual tasks. Now, I can just put my
[01:45:46] tasks. Now, I can just put my phone away and get on with my
[01:45:49] phone away and get on with my day. And Spark works in the
[01:45:50] day. And Spark works in the background for me. We'll check
[01:45:51] background for me. We'll check in later and see how it's doing.
[01:45:55] in later and see how it's doing. You can see this is one of the
[01:45:57] You can see this is one of the first times we've been able to
[01:45:58] first times we've been able to put a phone down and let it keep
[01:46:00] put a phone down and let it keep working on the I/O stage. It's
[01:46:02] working on the I/O stage. It's great.
[01:46:03] great. Because we're prioritizing
[01:46:03] Because we're prioritizing safety, we're rolling out Gemini
[01:46:06] safety, we're rolling out Gemini Spark deliberately, to trusted
[01:46:08] Spark deliberately, to trusted testers, this week, and as a
[01:46:10] testers, this week, and as a beta for U.S. Google AI Ultra
[01:46:13] beta for U.S. Google AI Ultra subscribers next week. We want
[01:46:15] subscribers next week. We want this new type of help to be in
[01:46:17] this new type of help to be in as many hands as possible, so to
[01:46:19] as many hands as possible, so to do that, we're introducing a new
[01:46:24] do that, we're introducing a new Ultra plan for $100 a month.
[01:46:28] Ultra plan for $100 a month. [Applause]
[01:46:32] [Applause] And for those of you that need
[01:46:33] And for those of you that need maximum limits, we're dropping
[01:46:35] maximum limits, we're dropping the price for our top tier Ultra
[01:46:37] the price for our top tier Ultra plan from $250 a month to $200 a
[01:46:40] plan from $250 a month to $200 a month.
[01:46:44] month. And there's so much more to
[01:46:45] And there's so much more to come. Later, this summer,
[01:46:46] come. Later, this summer, Gemini Spark will operate
[01:46:49] Gemini Spark will operate directly within Chrome, acting
[01:46:50] directly within Chrome, acting as your agentic browser across
[01:46:53] as your agentic browser across the web. It can take action on
[01:46:55] the web. It can take action on your tasks under your direction.
[01:46:58] your tasks under your direction. We're also building a dedicated
[01:46:59] We're also building a dedicated home base for your agents on
[01:47:01] home base for your agents on your phone, Android Halo, which
[01:47:05] your phone, Android Halo, which is coming later this year.
[01:47:05] is coming later this year. As Sundar said, we've entered a
[01:47:08] As Sundar said, we've entered a new agentic era across Google,
[01:47:10] new agentic era across Google, and we can't wait to see what
[01:47:11] and we can't wait to see what you're going to build with it.
[01:47:12] you're going to build with it. Back to you, Sundar.
[01:47:15] Back to you, Sundar. [Applause]
[01:47:18] [Applause] >> SUNDAR PICHAI: Thanks, Josh.
[01:47:21] >> SUNDAR PICHAI: Thanks, Josh. So great to see Gemini Spark
[01:47:23] So great to see Gemini Spark getting things done on your
[01:47:26] getting things done on your behalf. I've played around with
[01:47:27] behalf. I've played around with all sorts of agents and you can
[01:47:28] all sorts of agents and you can really see the potential. Still
[01:47:31] really see the potential. Still early days when it comes to
[01:47:32] early days when it comes to making agents easy to use, super
[01:47:37] making agents easy to use, super secure, and truly helpful.
[01:47:37] secure, and truly helpful. That's why I'm really excited by
[01:47:38] That's why I'm really excited by Gemini Spark. We are laying the
[01:47:39] Gemini Spark. We are laying the foundation to bring this all
[01:47:41] foundation to bring this all together in a safe and secure
[01:47:43] together in a safe and secure way to consumers everywhere. We
[01:47:44] way to consumers everywhere. We look forward to having you all
[01:47:46] look forward to having you all try it.
[01:47:48] try it. We are firmly in our agentic
[01:47:51] We are firmly in our agentic Gemini era. Gemini Spark is the
[01:47:54] Gemini era. Gemini Spark is the first experience you're seeing,
[01:47:55] first experience you're seeing, made possible by 3.5 models and
[01:47:57] made possible by 3.5 models and Antigravity. This combination
[01:48:00] Antigravity. This combination gives us new ways to actuate our
[01:48:01] gives us new ways to actuate our mission and transform our
[01:48:03] mission and transform our products to be radically more
[01:48:05] products to be radically more helpful.
[01:48:07] helpful. I can't wait to see how it will
[01:48:09] I can't wait to see how it will transform Search, our ultimate
[01:48:11] transform Search, our ultimate moonshot. This past year has
[01:48:14] moonshot. This past year has proven just how much innovation
[01:48:16] proven just how much innovation is possible right at the heart
[01:48:21] is possible right at the heart of our information mission.
[01:48:22] of our information mission. As we enter this agentic era,
[01:48:22] As we enter this agentic era, Search will be more helpful and
[01:48:23] Search will be more helpful and powerful than ever before.
[01:48:25] powerful than ever before. Let me turn it over to Liz to
[01:48:26] Let me turn it over to Liz to share what's next.
[01:48:27] share what's next. ♪
[01:48:29] ♪ ♪
[01:48:30] ♪ [Applause]
[01:48:40] [Applause] >> LIZ REID: People bring
[01:48:42] >> LIZ REID: People bring billions of questions to Search
[01:48:47] billions of questions to Search every day. Now sometimes, the
[01:48:48] every day. Now sometimes, the whole world is searching for the
[01:48:50] whole world is searching for the same thing; but more often, your
[01:48:51] same thing; but more often, your questions are just as unique as
[01:48:56] questions are just as unique as you are. that's why we set out
[01:48:57] you are. that's why we set out to make it possible to ask
[01:48:58] to make it possible to ask whatever is really on your mind.
[01:49:02] whatever is really on your mind. To unlock this, we've been on a
[01:49:03] To unlock this, we've been on a journey to bring together the
[01:49:04] journey to bring together the best of a search engine with the
[01:49:05] best of a search engine with the best of AI. We started this
[01:49:09] best of AI. We started this transformation with AI Overview.
[01:49:10] transformation with AI Overview. And if you can believe it, it
[01:49:11] And if you can believe it, it was just last year on this stage
[01:49:13] was just last year on this stage that we launched AI Mode.
[01:49:15] that we launched AI Mode. It's our most powerful AI
[01:49:17] It's our most powerful AI Search, bringing in our most
[01:49:20] Search, bringing in our most advanced Gemini models. And as
[01:49:21] advanced Gemini models. And as of today, we're upgrading it on
[01:49:21] of today, we're upgrading it on Gemini 3.5.
[01:49:27] Gemini 3.5. [Applause]
[01:49:32] [Applause] Now, as Sundar mentioned, AI
[01:49:32] Now, as Sundar mentioned, AI Mode has surpassed more than 1
[01:49:33] Mode has surpassed more than 1 billion monthly users, and we're
[01:49:36] billion monthly users, and we're seeing phenomenal growth, with
[01:49:37] seeing phenomenal growth, with AI Mode queries more than
[01:49:40] AI Mode queries more than doubling every quarter since
[01:49:42] doubling every quarter since launch. As people have learned
[01:49:43] launch. As people have learned how much more Search can do,
[01:49:44] how much more Search can do, they started bringing more
[01:49:48] they started bringing more questions, so much so that last
[01:49:51] questions, so much so that last quarter, we saw Search queries
[01:49:52] quarter, we saw Search queries reach an all-time high.
[01:49:55] reach an all-time high. reach an all-time high.
[01:49:56] reach an all-time high. But what's even more remarkable:
[01:49:57] But what's even more remarkable: You're asking your real
[01:50:00] You're asking your real questions in all their super
[01:50:02] questions in all their super specific detailed glory, knowing
[01:50:03] specific detailed glory, knowing Search can really tackle them.
[01:50:04] Search can really tackle them. You're having real conversations
[01:50:08] You're having real conversations with Search, going back and
[01:50:08] with Search, going back and forth, and deeper. So you're
[01:50:13] forth, and deeper. So you're not just asking nearby hikes.
[01:50:13] not just asking nearby hikes. You're asking can you build an
[01:50:15] You're asking can you build an itinerary for hiking day trip
[01:50:16] itinerary for hiking day trip near me with great views and dog
[01:50:17] near me with great views and dog friendly trails, and a lunch
[01:50:18] friendly trails, and a lunch spot with convenient parking?
[01:50:21] spot with convenient parking? And now, we're entering the next
[01:50:23] And now, we're entering the next chapter of Google Search, where
[01:50:26] chapter of Google Search, where incredible AI features aren't
[01:50:29] incredible AI features aren't just in Search; Google Search is
[01:50:32] just in Search; Google Search is AI Search through and through.
[01:50:35] AI Search through and through. Now, it's an AI Search that
[01:50:36] Now, it's an AI Search that brings to figure out our most
[01:50:37] brings to figure out our most advanced Gemini models, our
[01:50:39] advanced Gemini models, our newest agentic capabilities, and
[01:50:39] newest agentic capabilities, and the full breadth of the world's
[01:50:40] the full breadth of the world's information.
[01:50:40] information. With over 1 billion facts
[01:50:46] With over 1 billion facts updated a minute, billions of
[01:50:47] updated a minute, billions of new web pages indexed every day,
[01:50:48] new web pages indexed every day, and connections to an infinite
[01:50:50] and connections to an infinite range of human perspectives.
[01:50:51] range of human perspectives. So whatever is on your mind, you
[01:50:54] So whatever is on your mind, you can come to Google and truly ask
[01:50:55] can come to Google and truly ask anything.
[01:50:59] anything. Now, to start, I'm excited to
[01:51:00] Now, to start, I'm excited to announce we're launching a
[01:51:02] announce we're launching a brand-new intelligent Search
[01:51:04] brand-new intelligent Search box. Before, the Search box was
[01:51:07] box. Before, the Search box was a contained space, but now, it's
[01:51:11] a contained space, but now, it's totally reimagined with AI. It
[01:51:11] totally reimagined with AI. It expands with your curiosity. As
[01:51:12] expands with your curiosity. As you ask, Search helps you
[01:51:18] you ask, Search helps you formulate your question with
[01:51:18] formulate your question with AI-powered suggestions.
[01:51:20] AI-powered suggestions. This goes beyond autocomplete.
[01:51:21] This goes beyond autocomplete. It offers nuances that you might
[01:51:22] It offers nuances that you might not have even thought to add,
[01:51:24] not have even thought to add, helping you take the exact
[01:51:25] helping you take the exact question on your mind and ask it
[01:51:26] question on your mind and ask it with ease.
[01:51:28] with ease. This new Search box puts our
[01:51:30] This new Search box puts our most powerful AI tools right at
[01:51:34] most powerful AI tools right at your fingertips. And you can
[01:51:35] your fingertips. And you can ask across modalities with text,
[01:51:38] ask across modalities with text, images, files, and videos, and
[01:51:39] images, files, and videos, and Search reasons across them all.
[01:51:41] Search reasons across them all. This is the biggest upgrade to
[01:51:44] This is the biggest upgrade to our iconic Search box since its
[01:51:47] our iconic Search box since its debut over 25 years ago. And
[01:51:47] debut over 25 years ago. And it's starting to roll out toda
[01:51:51] it's starting to roll out toda [Applause]
[01:51:59] [Applause] Next, we're making it even
[01:51:59] Next, we're making it even easier to continue the
[01:52:00] easier to continue the conversation with Search,
[01:52:01] conversation with Search, bringing AI Overviews and AI
[01:52:02] bringing AI Overviews and AI Mode into one seamless AI Search
[01:52:03] Mode into one seamless AI Search experience. You can float
[01:52:06] experience. You can float effortlessly from your question
[01:52:13] effortlessly from your question to your response on the main
[01:52:13] to your response on the main Search results page, to
[01:52:17] Search results page, to follow-ups in AI Mode. Your
[01:52:18] follow-ups in AI Mode. Your context stays with you and your
[01:52:18] context stays with you and your conversation gets deeper. Your
[01:52:19] conversation gets deeper. Your links and sources get even more
[01:52:21] links and sources get even more relevant to what you might want
[01:52:23] relevant to what you might want to explore, so you continue to
[01:52:23] to explore, so you continue to get the best of AI and the best
[01:52:24] get the best of AI and the best of the Web.
[01:52:25] of the Web. And I'm excited to share this
[01:52:26] And I'm excited to share this new seamless AI Search
[01:52:28] new seamless AI Search experience is live today, across
[01:52:30] experience is live today, across desktop and mobile worldwide.
[01:52:32] desktop and mobile worldwide. [Applause]
[01:52:39] [Applause] Next, you just heard Sundar and
[01:52:40] Next, you just heard Sundar and Josh share our approach to
[01:52:43] Josh share our approach to agents and the potential that
[01:52:46] agents and the potential that this can open up. Now, we're
[01:52:47] this can open up. Now, we're taking an exciting step toward
[01:52:50] taking an exciting step toward this vision, where you'll be
[01:52:50] this vision, where you'll be able to create and manage
[01:52:51] able to create and manage multiple AI agents for your many
[01:52:51] multiple AI agents for your many tasks, right in Search.
[01:52:55] tasks, right in Search. We're entering the era of Search
[01:52:59] We're entering the era of Search agents. Now to start, you can
[01:52:59] agents. Now to start, you can set information agents to work
[01:53:01] set information agents to work for you 24/7 in the background.
[01:53:04] for you 24/7 in the background. They can find you exactly what
[01:53:05] They can find you exactly what you need, exactly when you need
[01:53:06] you need, exactly when you need it, and help you take action.
[01:53:09] it, and help you take action. You can spin up multiple agents
[01:53:13] You can spin up multiple agents in Search simultaneously, so you
[01:53:14] in Search simultaneously, so you can get updated and make
[01:53:14] can get updated and make progress on all the things that
[01:53:17] progress on all the things that matter to you.
[01:53:19] matter to you. And these will work with and
[01:53:20] And these will work with and alongside Gemini Spark to help
[01:53:22] alongside Gemini Spark to help you get more done, so let's put
[01:53:23] you get more done, so let's put a few to work.
[01:53:23] a few to work. Say you're really into finance,
[01:53:24] Say you're really into finance, and you want to know more about
[01:53:27] and you want to know more about big biotech stocks with P/E
[01:53:31] big biotech stocks with P/E under 15, positive cash flow and
[01:53:32] under 15, positive cash flow and low debt, right when it matters.
[01:53:36] low debt, right when it matters. Now, you can just ask all of
[01:53:36] Now, you can just ask all of that and your agent is off. It
[01:53:38] that and your agent is off. It takes your super complex
[01:53:41] takes your super complex question and map out a plan.
[01:53:42] question and map out a plan. It determines the urgency,
[01:53:46] It determines the urgency, getting that you really need
[01:53:47] getting that you really need in-the-moment intel, and it sets
[01:53:48] in-the-moment intel, and it sets triggers to look out for
[01:53:51] triggers to look out for information as it changes, and
[01:53:51] information as it changes, and picks the tools and data hooks
[01:53:53] picks the tools and data hooks it needs for the job.
[01:53:53] it needs for the job. It connects directly to our
[01:53:55] It connects directly to our realtime finance data so you get
[01:53:58] realtime finance data so you get up-to-the-second updates on
[01:53:59] up-to-the-second updates on stock prices and insights on the
[01:54:03] stock prices and insights on the market, the moment it moves.
[01:54:07] market, the moment it moves. Now, when it does, your agent
[01:54:08] Now, when it does, your agent sends you an intelligent and
[01:54:09] sends you an intelligent and synthesized update.
[01:54:09] synthesized update. It helps you understand what's
[01:54:10] It helps you understand what's going on so you can separate the
[01:54:13] going on so you can separate the signal from the noise. And it
[01:54:14] signal from the noise. And it points you to hyper-relevant
[01:54:16] points you to hyper-relevant content, like this crowdsourced
[01:54:18] content, like this crowdsourced research platform, news site and
[01:54:22] research platform, news site and social.
[01:54:23] social. This helps websites and creators
[01:54:23] This helps websites and creators get fresh content discovered by
[01:54:25] get fresh content discovered by people who really care about it,
[01:54:26] people who really care about it, when it matters most to them.
[01:54:31] when it matters most to them. Now, let's say you're apartment
[01:54:32] Now, let's say you're apartment hunting. You can do a total
[01:54:32] hunting. You can do a total brain-dump of what you're
[01:54:35] brain-dump of what you're looking for, with all your
[01:54:36] looking for, with all your criteria like location and
[01:54:38] criteria like location and natural light and availability,
[01:54:39] natural light and availability, and your agent continuously
[01:54:41] and your agent continuously scans the entire web, across
[01:54:45] scans the entire web, across sites, social, and forums.
[01:54:46] sites, social, and forums. Or if you're a sneaker fan, you
[01:54:46] Or if you're a sneaker fan, you can just ask to be updated when
[01:54:47] can just ask to be updated when any of your favorite athletes
[01:54:52] any of your favorite athletes announce sneaker collabs or
[01:54:52] announce sneaker collabs or drops.
[01:54:56] drops. And it monitors everything from
[01:54:56] And it monitors everything from blogs to our Shopping Graph so
[01:54:57] blogs to our Shopping Graph so you don't miss out.
[01:54:58] you don't miss out. You'll be able to put
[01:54:58] You'll be able to put information agents to work for
[01:55:01] information agents to work for you this summer. Just ask
[01:55:02] you this summer. Just ask Search to keep you updated on
[01:55:04] Search to keep you updated on whatever you want to know.
[01:55:06] whatever you want to know. Now, information agents are
[01:55:12] Now, information agents are among the first of many agents
[01:55:12] among the first of many agents we're introducing in Search to
[01:55:13] we're introducing in Search to make it more helpful for you.
[01:55:14] make it more helpful for you. So whether you want to find it,
[01:55:15] So whether you want to find it, or check it, book it, buy it or
[01:55:17] or check it, book it, buy it or more, Search will be able to get
[01:55:17] more, Search will be able to get it done.
[01:55:23] it done. Now, we're also bringing agentic
[01:55:25] Now, we're also bringing agentic coding to Search so it can build
[01:55:26] coding to Search so it can build you custom experiences just for
[01:55:29] you custom experiences just for your questions. To show you how
[01:55:30] your questions. To show you how this works, here's Robby.
[01:55:30] this works, here's Robby. ♪
[01:55:30] ♪ ♪
[01:55:31] ♪ [Applause]
[01:55:41] [Applause] >> ROBBY STEIN: We believe the
[01:55:46] >> ROBBY STEIN: We believe the best version of Search is one
[01:55:47] best version of Search is one created just for you. It's a
[01:55:50] created just for you. It's a Search that gives you
[01:55:51] Search that gives you information in the most helpful
[01:55:54] information in the most helpful format for your question. And
[01:55:55] format for your question. And we've spent years perfecting
[01:55:57] we've spent years perfecting this.
[01:55:57] this. So if you're shopping, we give
[01:55:58] So if you're shopping, we give you products. Asking about
[01:56:01] you products. Asking about data, you see charts. Looking
[01:56:04] data, you see charts. Looking for inspiration, you get
[01:56:07] for inspiration, you get beautiful visuals.
[01:56:09] beautiful visuals. Now, we're taking this to a
[01:56:10] Now, we're taking this to a whole new level. We're bringing
[01:56:12] whole new level. We're bringing Antigravity and the agentic
[01:56:15] Antigravity and the agentic coding capabilities of Gemini
[01:56:18] coding capabilities of Gemini 3.5 Flash right into Search.
[01:56:20] 3.5 Flash right into Search. So Search can build you the
[01:56:22] So Search can build you the ideal format exactly for your
[01:56:24] ideal format exactly for your question, completely custom on
[01:56:25] question, completely custom on the fly.
[01:56:29] the fly. We're talking dynamic layouts,
[01:56:31] We're talking dynamic layouts, interactive widgets, entire
[01:56:35] interactive widgets, entire experiences, all created just
[01:56:39] experiences, all created just for you. This is agentic coding
[01:56:40] for you. This is agentic coding at the scale of Search.
[01:56:47] at the scale of Search. [Applause]
[01:56:52] [Applause] Let me give you an example. Say
[01:56:53] Let me give you an example. Say I'm a college student trying to
[01:56:54] I'm a college student trying to wrap my mind around
[01:56:54] wrap my mind around astrophysics. I can go to
[01:56:56] astrophysics. I can go to Search and just ask how do black
[01:56:57] Search and just ask how do black holes affect space-time? And
[01:56:58] holes affect space-time? And check this out. I get an
[01:56:59] check this out. I get an interactive visual right in the
[01:57:03] interactive visual right in the AI Overview. Search now gets
[01:57:04] AI Overview. Search now gets that for a concept this complex,
[01:57:09] that for a concept this complex, I need to interact with it to
[01:57:10] I need to interact with it to really understand it.
[01:57:13] really understand it. This is still kind of 101, so
[01:57:15] This is still kind of 101, so I'm going to follow up. Show me
[01:57:16] I'm going to follow up. Show me how two orbiting objects like
[01:57:17] how two orbiting objects like binary black holes create
[01:57:22] binary black holes create gravitational waves. Search
[01:57:23] gravitational waves. Search dynamically builds a brand-new
[01:57:24] dynamically builds a brand-new interactive visual in real time
[01:57:28] interactive visual in real time completely custom for my
[01:57:29] completely custom for my specific question.
[01:57:31] specific question. [Applause]
[01:57:37] [Applause] And now, I can play with the
[01:57:37] And now, I can play with the parameters now like orbital
[01:57:38] parameters now like orbital separation, and the mass ratio,
[01:57:41] separation, and the mass ratio, and it's so cool. I can see we
[01:57:46] and it's so cool. I can see we how wave patterns have changed,
[01:57:47] how wave patterns have changed, and now, the smaller black hole
[01:57:50] and now, the smaller black hole spirals around the bigger one.
[01:57:50] spirals around the bigger one. And now that I get the basics, I
[01:57:51] And now that I get the basics, I can dive into these resources
[01:57:52] can dive into these resources here and read things like the
[01:57:54] here and read things like the LIGO Discovery Papers to learn
[01:57:54] LIGO Discovery Papers to learn more.
[01:57:58] more. Now, you might be wondering how
[01:58:00] Now, you might be wondering how can Search actually build custom
[01:58:01] can Search actually build custom UI like this for billions of
[01:58:03] UI like this for billions of unique questions?
[01:58:05] unique questions? With Gemini 3.5 Flash, Search
[01:58:08] With Gemini 3.5 Flash, Search plans the ideal response from
[01:58:12] plans the ideal response from scratch. It designs the layout,
[01:58:13] scratch. It designs the layout, decides what custom components
[01:58:14] decides what custom components to build, fans out to research
[01:58:19] to build, fans out to research and then finally deploys the
[01:58:19] and then finally deploys the code. To build custom
[01:58:20] code. To build custom components in the response like
[01:58:22] components in the response like this, Search invokes an agentic
[01:58:23] this, Search invokes an agentic coding harness powered by
[01:58:27] coding harness powered by Antigravity, so it can read and
[01:58:28] Antigravity, so it can read and write files and execute code in
[01:58:29] write files and execute code in a secure, containerized
[01:58:31] a secure, containerized environment.
[01:58:32] environment. This is the tech you saw Varun
[01:58:36] This is the tech you saw Varun build a whole OS with, and we're
[01:58:36] build a whole OS with, and we're bringing that power right into
[01:58:38] bringing that power right into Search.
[01:58:43] Search. Generative UI with Antigravity
[01:58:44] Generative UI with Antigravity is rolling out to Search this
[01:58:44] is rolling out to Search this summer, for everyone, free of
[01:58:45] summer, for everyone, free of charge.
[01:58:47] charge. [Applause]
[01:58:52] [Applause] So whatever you want to
[01:58:53] So whatever you want to understand, whether you're
[01:58:54] understand, whether you're wondering how your watch
[01:58:56] wondering how your watch actually works, analyzing the
[01:58:58] actually works, analyzing the cost of a new commute, or so
[01:59:03] cost of a new commute, or so much more, you'll get responses
[01:59:06] much more, you'll get responses as unique as your questions.
[01:59:07] as unique as your questions. Now, let's take this a step
[01:59:08] Now, let's take this a step further. Some projects aren't
[01:59:08] further. Some projects aren't one-off questions; they're
[01:59:11] one-off questions; they're ongoing tasks. So now, Search
[01:59:15] ongoing tasks. So now, Search has the ability to help you
[01:59:16] has the ability to help you build entire custom stateful
[01:59:22] build entire custom stateful experiences: Tools, trackers,
[01:59:25] experiences: Tools, trackers, dashboards. I think of these
[01:59:25] dashboards. I think of these sort of like building my own
[01:59:26] sort of like building my own little mini apps in Search, and
[01:59:26] little mini apps in Search, and I've been making a ton of them,
[01:59:27] I've been making a ton of them, and they're especially awesome
[01:59:30] and they're especially awesome for those long-running tasks
[01:59:30] for those long-running tasks where you want to keep coming
[01:59:32] where you want to keep coming back, like planning a wedding,
[01:59:35] back, like planning a wedding, or managing your home move.
[01:59:36] or managing your home move. So what do you think? Should we
[01:59:37] So what do you think? Should we build one together?
[01:59:40] build one together? Yeah?
[01:59:40] Yeah? [Applause]
[01:59:41] [Applause] All right.
[01:59:42] All right. Let's do a demo.
[01:59:44] Let's do a demo. So I'm constantly trying to
[01:59:46] So I'm constantly trying to figure out on Thursday what it
[01:59:47] figure out on Thursday what it is I should do with my family
[01:59:49] is I should do with my family every weekend.
[01:59:50] every weekend. So here's the search I actually
[01:59:52] So here's the search I actually just did about fun things to do
[01:59:53] just did about fun things to do with my family this weekend and,
[01:59:56] with my family this weekend and, of course, you have a great
[01:59:57] of course, you have a great response here from AI Mode, but
[01:59:59] response here from AI Mode, but here's something new.
[02:00:02] here's something new. Search proactively offers to
[02:00:03] Search proactively offers to build a weekend planner for me
[02:00:04] build a weekend planner for me and similar to how you just saw
[02:00:07] and similar to how you just saw Search create these generative
[02:00:08] Search create these generative UI and interactive visuals
[02:00:10] UI and interactive visuals completely from scratch, Search
[02:00:11] completely from scratch, Search can code this up right now.
[02:00:13] can code this up right now. Let's do it.
[02:00:14] Let's do it. So for the sake of today's demo,
[02:00:16] So for the sake of today's demo, we thought you might want to see
[02:00:17] we thought you might want to see a peek under the hood so as this
[02:00:19] a peek under the hood so as this builds, you're going to see
[02:00:21] builds, you're going to see realtime thinking steps and code
[02:00:22] realtime thinking steps and code generation flowing in.
[02:00:23] generation flowing in. And here, Search is thinking
[02:00:25] And here, Search is thinking about the right components to
[02:00:26] about the right components to build, not just what information
[02:00:28] build, not just what information to fetch, but the best way to
[02:00:30] to fetch, but the best way to present it, and I've chosen to
[02:00:32] present it, and I've chosen to securely connect Gmail, Photos
[02:00:34] securely connect Gmail, Photos and Calendar so it's using
[02:00:35] and Calendar so it's using personal intelligence to make my
[02:00:38] personal intelligence to make my suggestions even more helpful.
[02:00:38] suggestions even more helpful. That means referencing Gmail
[02:00:41] That means referencing Gmail receipts, Calendar and much more
[02:00:41] receipts, Calendar and much more to personalize.
[02:00:43] to personalize. And boom, there it is.
[02:00:43] And boom, there it is. It looks like it's ready.
[02:00:48] It looks like it's ready. All right. It's got a beautiful
[02:00:49] All right. It's got a beautiful planner, already taken into
[02:00:50] planner, already taken into account driving times and
[02:00:52] account driving times and weather.
[02:00:52] weather. And Search knows that I have two
[02:00:54] And Search knows that I have two kids. And that they love
[02:00:55] kids. And that they love animals and that my oldest is
[02:00:56] animals and that my oldest is learning to play chess. So
[02:00:58] learning to play chess. So actually this second one here is
[02:00:59] actually this second one here is kind of awesome for my oldest so
[02:01:01] kind of awesome for my oldest so I'm going to go ahead and heart
[02:01:04] I'm going to go ahead and heart that. But, you know, two kids,
[02:01:05] that. But, you know, two kids, got to make them both happy so
[02:01:07] got to make them both happy so I'm going to lock in the Happy
[02:01:10] I'm going to lock in the Happy Hollow Park & Zoo right there.
[02:01:12] Hollow Park & Zoo right there. And because this syncs with my
[02:01:13] And because this syncs with my calendar, you can see it's
[02:01:15] calendar, you can see it's already blocked off my afternoon
[02:01:16] already blocked off my afternoon to meet a friend to watch this
[02:01:18] to meet a friend to watch this game down here.
[02:01:19] game down here. And below it's got all of these
[02:01:21] And below it's got all of these cool restaurant reservations and
[02:01:22] cool restaurant reservations and beautifully laid out on Maps.
[02:01:25] beautifully laid out on Maps. Now having seen this agents, I
[02:01:26] Now having seen this agents, I kind of want the Madam President
[02:01:27] kind of want the Madam President to be higher up, and also, my
[02:01:30] to be higher up, and also, my wife, and I try to do Friday
[02:01:31] wife, and I try to do Friday date nights. So I'm going to
[02:01:32] date nights. So I'm going to keep customizing this and just
[02:01:35] keep customizing this and just for the sake of speed, I'm going
[02:01:36] for the sake of speed, I'm going to paste in here one more
[02:01:38] to paste in here one more question to add Friday night
[02:01:40] question to add Friday night date each week and move it to
[02:01:41] date each week and move it to the top.
[02:01:42] the top. And just like before, it's
[02:01:44] And just like before, it's thinking through what's needed
[02:01:45] thinking through what's needed to adjust the Planner, looking
[02:01:46] to adjust the Planner, looking up realtime information, even
[02:01:48] up realtime information, even checking my preferences again.
[02:01:49] checking my preferences again. Wow. It was so fast.
[02:01:51] Wow. It was so fast. So it's able to use all kinds of
[02:01:53] So it's able to use all kinds of information from Google to build
[02:01:54] information from Google to build this on the fly and now, you can
[02:01:56] this on the fly and now, you can see the map right at the top,
[02:01:59] see the map right at the top, and Friday date night tab, right
[02:02:01] and Friday date night tab, right here.
[02:02:02] here. So I can scroll down, I can see
[02:02:04] So I can scroll down, I can see all of these really great
[02:02:05] all of these really great places, after the baby-sitter
[02:02:07] places, after the baby-sitter arrives, here's some awesome
[02:02:08] arrives, here's some awesome restaurants. I'll go ahead and
[02:02:09] restaurants. I'll go ahead and select it, and we're ready to
[02:02:12] select it, and we're ready to go.
[02:02:12] go. Now, a weekend plan is not
[02:02:14] Now, a weekend plan is not complete until I get my wife
[02:02:16] complete until I get my wife Danielle's seal of approval so I
[02:02:17] Danielle's seal of approval so I can share this app with her,
[02:02:20] can share this app with her, which I'm going to do right
[02:02:22] which I'm going to do right here. And copy it. Okay. And
[02:02:24] here. And copy it. Okay. And now, I'm actually going to pull
[02:02:25] now, I'm actually going to pull it up on a phone. When I send
[02:02:26] it up on a phone. When I send this to her this is exactly what
[02:02:28] this to her this is exactly what she's going to see on her phone
[02:02:37] she's going to see on her phone All right. So Danielle is in,
[02:02:38] All right. So Danielle is in, but it also looks like she might
[02:02:39] but it also looks like she might have some feedback for me when I
[02:02:41] have some feedback for me when I get home, but we're going to
[02:02:43] get home, but we're going to deal with that kind of a little
[02:02:44] deal with that kind of a little bit later. So all I have to do
[02:02:47] bit later. So all I have to do is add this to my Calendar.
[02:02:48] is add this to my Calendar. Search will add it to all of our
[02:02:50] Search will add it to all of our family calendars, and we're
[02:02:51] family calendars, and we're ready to go and next weekend
[02:02:53] ready to go and next weekend I'll be able to come back and
[02:02:54] I'll be able to come back and plan a whole new weekend with my
[02:02:55] plan a whole new weekend with my family just like this.
[02:02:57] family just like this. So we're bringing Antigravity
[02:02:58] So we're bringing Antigravity into Search, so you'll get
[02:02:59] into Search, so you'll get generative UI this summer.
[02:03:01] generative UI this summer. Starting with subscribers,
[02:03:03] Starting with subscribers, you'll be able to custom-build
[02:03:05] you'll be able to custom-build experiences just like this in
[02:03:06] experiences just like this in the coming months.
[02:03:07] the coming months. [Applause]
[02:03:16] [Applause] From Search agents to agentic
[02:03:18] From Search agents to agentic coding, this is an AI Search
[02:03:20] coding, this is an AI Search that does more for you, whatever
[02:03:22] that does more for you, whatever your question.
[02:03:25] your question. Agentic capabilities are going
[02:03:25] Agentic capabilities are going to transform all the ways you
[02:03:26] to transform all the ways you use Search, including how you
[02:03:27] use Search, including how you shop.
[02:03:27] shop. To tell you more, here's Vidhya
[02:03:29] To tell you more, here's Vidhya ♪
[02:03:30] ♪ ♪
[02:03:30] ♪ [Applause]
[02:03:43] [Applause] >> VIDHYA SRINIVASAN: With
[02:03:45] >> VIDHYA SRINIVASAN: With incredible advancements in AI,
[02:03:47] incredible advancements in AI, we are entering a whole new era.
[02:03:49] we are entering a whole new era. We've been building the
[02:03:51] We've been building the foundation for agentic commerce,
[02:03:55] foundation for agentic commerce, and now, we're bringing that
[02:03:56] and now, we're bringing that future right to you. People
[02:03:57] future right to you. People shop across Google over a
[02:03:59] shop across Google over a billion times a day, and for
[02:04:01] billion times a day, and for years, we've connected you with
[02:04:03] years, we've connected you with brands and retailers to help you
[02:04:05] brands and retailers to help you get exactly what you're looking
[02:04:07] get exactly what you're looking for. It starts with our
[02:04:09] for. It starts with our Shopping Graph, the world's most
[02:04:11] Shopping Graph, the world's most comprehensive catalog of
[02:04:15] comprehensive catalog of products. It now has over 60
[02:04:17] products. It now has over 60 billion listings and they are
[02:04:19] billion listings and they are constantly updated. Combine
[02:04:20] constantly updated. Combine that, the scale of the Shopping
[02:04:21] that, the scale of the Shopping Graph, with our most advanced
[02:04:22] Graph, with our most advanced Gemini models and you get
[02:04:25] Gemini models and you get entirely new ways to shop. More
[02:04:27] entirely new ways to shop. More powerful, more intelligent, and
[02:04:31] powerful, more intelligent, and more fun! Now, when it comes to
[02:04:32] more fun! Now, when it comes to agentic commerce, we are focused
[02:04:34] agentic commerce, we are focused on delivering three key building
[02:04:35] on delivering three key building blocks to make this future a
[02:04:39] blocks to make this future a reality.
[02:04:39] reality. First, the Universal Commerce
[02:04:43] First, the Universal Commerce Protocol, or UCP for short. UCP
[02:04:47] Protocol, or UCP for short. UCP does for agentic commerce what
[02:04:51] does for agentic commerce what HTTP did for the web: It gives
[02:04:52] HTTP did for the web: It gives agents and systems a common
[02:04:54] agents and systems a common language. It's an open-source
[02:04:55] language. It's an open-source standard that allows all of the
[02:04:58] standard that allows all of the key players to work across the
[02:05:01] key players to work across the entire shopping journey. That
[02:05:04] entire shopping journey. That means it makes everything from
[02:05:05] means it makes everything from product research to checkout to
[02:05:06] product research to checkout to shipment tracking totally
[02:05:07] shipment tracking totally seamless.
[02:05:09] seamless. And we've been thrilled to see
[02:05:11] And we've been thrilled to see the entire industry rally behind
[02:05:15] the entire industry rally behind it.
[02:05:15] it. We co-developed and launched UCP
[02:05:16] We co-developed and launched UCP with an incredible group of
[02:05:18] with an incredible group of founding partners, and recently
[02:05:23] founding partners, and recently welcomed Amazon, Meta,
[02:05:26] welcomed Amazon, Meta, Microsoft, Salesforce, and
[02:05:30] Microsoft, Salesforce, and Stripe.
[02:05:35] Stripe. [Applause]
[02:05:39] [Applause] They're going to help continue
[02:05:40] They're going to help continue steering this open standard.
[02:05:41] steering this open standard. It may just be the first time
[02:05:42] It may just be the first time we've all agreed on something!
[02:05:46] we've all agreed on something! And now, we are bringing UCP to
[02:05:48] And now, we are bringing UCP to even more verticals, like
[02:05:54] even more verticals, like hotels and local food delivery
[02:05:55] hotels and local food delivery providers and to YouTube and
[02:05:56] providers and to YouTube and more products. We are also
[02:05:57] more products. We are also expanding UCP-powered
[02:05:59] expanding UCP-powered experiences on Google products
[02:06:01] experiences on Google products to more regions, like Canada,
[02:06:03] to more regions, like Canada, Australia, and the U.K. in the
[02:06:04] Australia, and the U.K. in the coming months.
[02:06:08] coming months. This brings us to our second
[02:06:13] This brings us to our second building block: The agent
[02:06:14] building block: The agent payments protocol or AP2.
[02:06:17] payments protocol or AP2. So when it comes to agentic
[02:06:18] So when it comes to agentic payments, the number one
[02:06:20] payments, the number one question we hear is, "how do I
[02:06:24] question we hear is, "how do I know it won't just go off and
[02:06:25] know it won't just go off and buy something I don't want?"
[02:06:28] buy something I don't want?" Motorcycle anyone?
[02:06:30] Motorcycle anyone? It's a fair question, and it's
[02:06:31] It's a fair question, and it's why we created AP2. It's
[02:06:34] why we created AP2. It's designed so your AI agent can
[02:06:35] designed so your AI agent can securely make payments on your
[02:06:39] securely make payments on your behalf, but always under your
[02:06:41] behalf, but always under your control.
[02:06:42] control. For us, it comes down to two
[02:06:44] For us, it comes down to two things: Setting boundaries and
[02:06:47] things: Setting boundaries and ensuring accountability. First,
[02:06:49] ensuring accountability. First, let's talk about boundaries. We
[02:06:51] let's talk about boundaries. We are now making it easy to set
[02:06:53] are now making it easy to set strict guardrails. Just tell
[02:06:54] strict guardrails. Just tell your agent the specific brands
[02:06:56] your agent the specific brands and products you want and how
[02:07:01] and products you want and how much you want to spend. It
[02:07:02] much you want to spend. It automatically makes the purchase
[02:07:05] automatically makes the purchase if the criteria are met. But
[02:07:07] if the criteria are met. But boundaries only work if there's
[02:07:09] boundaries only work if there's accountability. AP2 creates a
[02:07:11] accountability. AP2 creates a transparent, verifiable link
[02:07:13] transparent, verifiable link between you, the merchant and
[02:07:18] between you, the merchant and the payment processors. It uses
[02:07:19] the payment processors. It uses privacy-preserving technology to
[02:07:19] privacy-preserving technology to keep your data safe and with
[02:07:21] keep your data safe and with tamper-proof digital mandates,
[02:07:24] tamper-proof digital mandates, AP2 ensures the agent is always
[02:07:27] AP2 ensures the agent is always acting on your behalf and giving
[02:07:28] acting on your behalf and giving you a permanent digital paper
[02:07:30] you a permanent digital paper trail.
[02:07:33] trail. So if you ever need to make a
[02:07:33] So if you ever need to make a return, you and the merchant are
[02:07:35] return, you and the merchant are looking at the same record.
[02:07:38] looking at the same record. Your payment info stays shielded
[02:07:39] Your payment info stays shielded and your data stays private and
[02:07:42] and your data stays private and your purchases stay secure.
[02:07:46] your purchases stay secure. We'll begin bringing AP2 to
[02:07:47] We'll begin bringing AP2 to Google products in the coming
[02:07:51] Google products in the coming months, starting with Gemini
[02:07:53] months, starting with Gemini Spark.
[02:07:55] Spark. [Applause]
[02:07:58] [Applause] Now, these protocols are
[02:07:58] Now, these protocols are powering the foundation of this
[02:08:01] powering the foundation of this new era, which brings us to our
[02:08:03] new era, which brings us to our final building block of agentic
[02:08:05] final building block of agentic commerce. I'm excited to
[02:08:08] commerce. I'm excited to announce the Universal Cart, a
[02:08:09] announce the Universal Cart, a truly intelligent shopping cart.
[02:08:14] truly intelligent shopping cart. It works across merchants and
[02:08:18] It works across merchants and across services. You will be
[02:08:19] across services. You will be able to add things to your cart
[02:08:20] able to add things to your cart while you're browsing Search,
[02:08:23] while you're browsing Search, chatting with Gemini, watching
[02:08:24] chatting with Gemini, watching YouTube or even reading your
[02:08:27] YouTube or even reading your Gmail. The moment you add a
[02:08:28] Gmail. The moment you add a product, your cart goes to work
[02:08:33] product, your cart goes to work for you in the background. It
[02:08:34] for you in the background. It finds deals and price drops, it
[02:08:36] finds deals and price drops, it gives you insights on price
[02:08:38] gives you insights on price history, and alerts you when
[02:08:39] history, and alerts you when something comes back in stock.
[02:08:43] something comes back in stock. It all runs on our Gemini models
[02:08:47] It all runs on our Gemini models so your cart gets even smarter
[02:08:48] so your cart gets even smarter as the models improve.
[02:08:51] as the models improve. So just think of it as shopping
[02:08:53] So just think of it as shopping with superpowers. Another game
[02:08:54] with superpowers. Another game changer is how it applies
[02:08:58] changer is how it applies intelligent reasoning. Let's
[02:09:00] intelligent reasoning. Let's say you're building your first
[02:09:00] say you're building your first custom PC. You see a
[02:09:01] custom PC. You see a motherboard with great reviews
[02:09:03] motherboard with great reviews and add it to your cart. You
[02:09:05] and add it to your cart. You had already picked out a
[02:09:06] had already picked out a processor, but you didn't
[02:09:08] processor, but you didn't realize is that the processor
[02:09:09] realize is that the processor needs a motherboard with a
[02:09:11] needs a motherboard with a different type of socket. Your
[02:09:14] different type of socket. Your cart catches this for you and
[02:09:14] cart catches this for you and suggests an alternative,
[02:09:15] suggests an alternative, preventing a problem you didn't
[02:09:23] preventing a problem you didn't really see coming! Next, my
[02:09:24] really see coming! Next, my favorite feature is how the cart
[02:09:24] favorite feature is how the cart can actually find hidden savings
[02:09:25] can actually find hidden savings for you.
[02:09:29] for you. If you're like me, you have
[02:09:30] If you're like me, you have different payment cards with
[02:09:31] different payment cards with different perks that are hard to
[02:09:35] different perks that are hard to keep track of. Now, you don't
[02:09:39] keep track of. Now, you don't have to. The cart can do it for
[02:09:39] have to. The cart can do it for you because it's built on Google
[02:09:41] you because it's built on Google wallet.
[02:09:41] wallet. Here's an example. Right here,
[02:09:44] Here's an example. Right here, there's an offer from Target for
[02:09:46] there's an offer from Target for some products that were added to
[02:09:48] some products that were added to the cart earlier in the week. I
[02:09:49] the cart earlier in the week. I see it so I want to get them
[02:09:52] see it so I want to get them now. And UCP makes checkout
[02:09:57] now. And UCP makes checkout from your cart super smooth.
[02:09:57] from your cart super smooth. For many of your favorite
[02:09:59] For many of your favorite brands, you can check out right
[02:10:01] brands, you can check out right on Google in just a few taps
[02:10:01] on Google in just a few taps with Google Pay, or you can
[02:10:03] with Google Pay, or you can transfer the items straight to
[02:10:04] transfer the items straight to the retailer's site and buy them
[02:10:07] the retailer's site and buy them there.
[02:10:09] there. I'm excited to announce that we
[02:10:11] I'm excited to announce that we are rolling out the Universal
[02:10:12] are rolling out the Universal Cart in the U.S. across Search
[02:10:15] Cart in the U.S. across Search and the Gemini app this summer
[02:10:16] and the Gemini app this summer with YouTube and Gmail to
[02:10:18] with YouTube and Gmail to follow.
[02:10:21] follow. [Applause]
[02:10:27] [Applause] These are the building blocks
[02:10:29] These are the building blocks that we showed you today, and
[02:10:30] that we showed you today, and they don't just create the
[02:10:30] they don't just create the foundation for agentic commerce,
[02:10:32] foundation for agentic commerce, they'll transform how you shop
[02:10:35] they'll transform how you shop on Google, making it more
[02:10:37] on Google, making it more powerful, more intelligent and a
[02:10:38] powerful, more intelligent and a lot more fun.
[02:10:41] lot more fun. Happy shopping and back to you,
[02:10:43] Happy shopping and back to you, Liz!
[02:10:43] Liz! [Applause]
[02:10:50] [Applause] >> LIZ REID: Today, you've seen
[02:10:51] >> LIZ REID: Today, you've seen how we're bringing together the
[02:10:52] how we're bringing together the best of a search engine with the
[02:10:54] best of a search engine with the best of AI to build a Google
[02:10:56] best of AI to build a Google Search that's more helpful and
[02:10:58] Search that's more helpful and powerful than ever before, where
[02:11:00] powerful than ever before, where Search agents work for you
[02:11:01] Search agents work for you around the clock, where agentic
[02:11:05] around the clock, where agentic coding means that Search can
[02:11:06] coding means that Search can build experiences as unique as
[02:11:09] build experiences as unique as your questions, and where the
[02:11:10] your questions, and where the power of agentic commerce isn't
[02:11:13] power of agentic commerce isn't in the distant future; it's here
[02:11:15] in the distant future; it's here now.
[02:11:17] now. So in this chapter of AI Search,
[02:11:20] So in this chapter of AI Search, Google can help you find,
[02:11:23] Google can help you find, understand, build, do anything.
[02:11:25] understand, build, do anything. So go ahead; just ask.
[02:11:26] So go ahead; just ask. ♪
[02:11:26] ♪ ♪
[02:11:35] ♪ [Applause]
[02:11:35] [Applause] ♪
[02:11:35] ♪ ♪
[02:12:53] ♪ [Applause]
[02:12:59] [Applause] >> JOSH WOODWARD: All right! Hi,
[02:13:00] >> JOSH WOODWARD: All right! Hi, everyone! Great to see you
[02:13:02] everyone! Great to see you again. And you've already seen
[02:13:04] again. And you've already seen some amazing breakthroughs this
[02:13:05] some amazing breakthroughs this morning, and we're just getting
[02:13:07] morning, and we're just getting started.
[02:13:07] started. We have a lot more to show you
[02:13:08] We have a lot more to show you in the Gemini app so let's jump
[02:13:11] in the Gemini app so let's jump right in. Over the last summer,
[02:13:15] right in. Over the last summer, Gemini has had incredible
[02:13:17] Gemini has had incredible momentum.
[02:13:17] momentum. More than 900 million users are
[02:13:19] More than 900 million users are coming to the Gemini app every
[02:13:22] coming to the Gemini app every month, and a big part of that
[02:13:22] month, and a big part of that growth is how fast we're
[02:13:26] growth is how fast we're shipping.
[02:13:26] shipping. A year ago, none of these
[02:13:28] A year ago, none of these features existed. And now,
[02:13:30] features existed. And now, Gemini has become the ultimate
[02:13:33] Gemini has become the ultimate creative tool for everyone. You
[02:13:35] creative tool for everyone. You can create images, videos and
[02:13:36] can create images, videos and music in ways people never
[02:13:39] music in ways people never thought were possible. We made
[02:13:43] thought were possible. We made Gemini even more tailored with
[02:13:44] Gemini even more tailored with Personal Intelligence, allowing
[02:13:45] Personal Intelligence, allowing you to securely connect your
[02:13:49] you to securely connect your Gmail, Photos, and other apps so
[02:13:49] Gmail, Photos, and other apps so you can get customized help.
[02:13:52] you can get customized help. Just last week, we expanded
[02:13:55] Just last week, we expanded Personal Intelligence to users
[02:13:59] Personal Intelligence to users Around the world directly in the
[02:14:03] Around the world directly in the app.
[02:14:03] app. Millions of people are using it
[02:14:04] Millions of people are using it every single day.
[02:14:04] every single day. They found it so helpful for
[02:14:06] They found it so helpful for things like personalized product
[02:14:07] things like personalized product and trip recommendations or
[02:14:11] and trip recommendations or Acting as a thought partner for
[02:14:12] Acting as a thought partner for navigating big decisions in life
[02:14:13] navigating big decisions in life like a career change or in my
[02:14:15] like a career change or in my case, finding the right set of
[02:14:16] case, finding the right set of tires for our super cool min van
[02:14:20] tires for our super cool min van that's going to be at that block
[02:14:21] that's going to be at that block party. We've made Gemini superb
[02:14:24] party. We've made Gemini superb for students also over the last
[02:14:25] for students also over the last year. You can use it to create
[02:14:27] year. You can use it to create guided learning, generate
[02:14:27] guided learning, generate practice tests, and even use
[02:14:29] practice tests, and even use dedicated notebooks to keep all
[02:14:31] dedicated notebooks to keep all your notes and assignments in
[02:14:33] your notes and assignments in one place. And these same
[02:14:35] one place. And these same notebooks sync directly to
[02:14:38] notebooks sync directly to NotebookLM. Just on its own,
[02:14:40] NotebookLM. Just on its own, NotebookLM has now been used to
[02:14:41] NotebookLM has now been used to create more than 1.5 billion
[02:14:45] create more than 1.5 billion notebooks, podcasts, slide decks
[02:14:47] notebooks, podcasts, slide decks and more, turning complex
[02:14:51] and more, turning complex information into easy to
[02:14:52] information into easy to understand knowledge. And as
[02:14:53] understand knowledge. And as you heard from Sundar earlier,
[02:14:55] you heard from Sundar earlier, we're rolling out our new Gemini
[02:14:58] we're rolling out our new Gemini 3.5 Flash model, which is
[02:14:59] 3.5 Flash model, which is unlocking a new set of features
[02:15:01] unlocking a new set of features that I'm going to show you
[02:15:04] that I'm going to show you today. All of this is happening
[02:15:05] today. All of this is happening in a Gemini app that's now
[02:15:07] in a Gemini app that's now available in more than 230
[02:15:10] available in more than 230 countries and over 70 languages,
[02:15:14] countries and over 70 languages, making Gemini the most widely
[02:15:15] making Gemini the most widely available AI system in the
[02:15:18] available AI system in the world.
[02:15:19] world. [Applause]
[02:15:23] [Applause] Gemini is becoming that
[02:15:25] Gemini is becoming that universal assistant people are
[02:15:26] universal assistant people are turning to. It's designed for
[02:15:28] turning to. It's designed for their everyday lives, and
[02:15:29] their everyday lives, and speaking of design, that brings
[02:15:30] speaking of design, that brings us to the first of our three big
[02:15:34] us to the first of our three big updates today. Today, I'm
[02:15:35] updates today. Today, I'm excited to announce that we've
[02:15:37] excited to announce that we've completely redesigned the Gemini
[02:15:39] completely redesigned the Gemini experience from the ground up.
[02:15:41] experience from the ground up. From the moment you open it,
[02:15:45] From the moment you open it, we've greeted you with a
[02:15:47] we've greeted you with a stunning new design language we
[02:15:48] stunning new design language we call Neural Expressive. We've
[02:15:49] call Neural Expressive. We've added fluid animations, vibrant
[02:15:52] added fluid animations, vibrant colors, new topography, haptic
[02:15:55] colors, new topography, haptic feedback throughout the app.
[02:15:56] feedback throughout the app. But we all know that good design
[02:15:58] But we all know that good design isn't just about how it looks;
[02:16:00] isn't just about how it looks; good design is about how it
[02:16:03] good design is about how it works. So we've involved the
[02:16:05] works. So we've involved the entire experience. We've made
[02:16:07] entire experience. We've made it easier to discover and
[02:16:09] it easier to discover and generate those gorgeous images,
[02:16:11] generate those gorgeous images, videos and music with built-in
[02:16:14] videos and music with built-in templates that you can easily
[02:16:16] templates that you can easily remix. And we've completely
[02:16:17] remix. And we've completely transformed the Gemini Live
[02:16:18] transformed the Gemini Live experience. It now opens up
[02:16:20] experience. It now opens up immediately and in line. And
[02:16:22] immediately and in line. And soon, you'll be able to pick a
[02:16:24] soon, you'll be able to pick a regional dialect that resonates
[02:16:26] regional dialect that resonates with you.
[02:16:28] with you. >> You've got a right good mix
[02:16:29] >> You've got a right good mix of different accents knocking
[02:16:31] of different accents knocking about like this one from
[02:16:33] about like this one from Liverpool.
[02:16:34] Liverpool. [Speaking various languages]
[02:16:51] [Speaking various languages] >> JOSH WOODWARD: All right.
[02:16:52] >> JOSH WOODWARD: All right. Pretty cool.
[02:16:52] Pretty cool. [Applause]
[02:16:55] [Applause] We'll be rolling out these and
[02:16:58] We'll be rolling out these and many more regional dialects in
[02:16:59] many more regional dialects in the coming weeks, and my
[02:17:02] the coming weeks, and my favorite part is how we handle
[02:17:04] favorite part is how we handle model responses with our new
[02:17:07] model responses with our new Neural Expressive design
[02:17:08] Neural Expressive design language. That's where it
[02:17:08] language. That's where it really comes to life.
[02:17:09] really comes to life. You won't see a wall of text
[02:17:12] You won't see a wall of text anymore. Instead, Gemini will
[02:17:13] anymore. Instead, Gemini will carefully lay out its response
[02:17:16] carefully lay out its response in real time, just for you, like
[02:17:20] in real time, just for you, like the generative UI you saw in
[02:17:25] the generative UI you saw in Search.
[02:17:27] Search. As you scroll, you might see
[02:17:27] As you scroll, you might see interactive images that are
[02:17:28] interactive images that are custom generated by Gemini. You
[02:17:29] custom generated by Gemini. You can drill into them and explore
[02:17:31] can drill into them and explore information on an entirely new
[02:17:32] information on an entirely new level. You might even see
[02:17:33] level. You might even see timelines that you can quickly
[02:17:35] timelines that you can quickly skim, or embedded videos. So
[02:17:37] skim, or embedded videos. So whether you're in dark mode or
[02:17:38] whether you're in dark mode or light mode, the entire
[02:17:40] light mode, the entire experience feels fluid,
[02:17:43] experience feels fluid, futuristic, and incredibly
[02:17:46] futuristic, and incredibly natural. Best of all? Neural
[02:17:47] natural. Best of all? Neural Expressive is rolling out
[02:17:50] Expressive is rolling out globally on Android, iOS, and
[02:17:52] globally on Android, iOS, and the Web starting right now.
[02:17:52] the Web starting right now. [Applause]
[02:17:59] [Applause] With a completely redesigned
[02:18:01] With a completely redesigned Gemini app as the new base, we
[02:18:05] Gemini app as the new base, we can go even further with
[02:18:05] can go even further with Gemini's creative capabilities.
[02:18:06] Gemini's creative capabilities. And that's update number 2.
[02:18:10] And that's update number 2. Gemini Omni is coming to the
[02:18:11] Gemini Omni is coming to the Gemini app for paid subscribers
[02:18:13] Gemini app for paid subscribers today. It's going to let you
[02:18:15] today. It's going to let you bring your ideas to life using
[02:18:17] bring your ideas to life using any combination of text, images
[02:18:19] any combination of text, images and video inputs. As I've been
[02:18:22] and video inputs. As I've been using it, it feels like the Nano
[02:18:24] using it, it feels like the Nano Banana for video moment is here.
[02:18:26] Banana for video moment is here. It's never been so easy to
[02:18:29] It's never been so easy to create and edit videos. Let's
[02:18:30] create and edit videos. Let's look at how this plays out in
[02:18:32] look at how this plays out in the real world. I want you to
[02:18:34] the real world. I want you to meet Sashu. She's working on a
[02:18:35] meet Sashu. She's working on a new song and wants to create a
[02:18:38] new song and wants to create a quick video teaser. She shares
[02:18:45] quick video teaser. She shares this raw video, she adds some
[02:18:45] this raw video, she adds some reference visuals and this is
[02:18:46] reference visuals and this is the coolest part. She can
[02:18:47] the coolest part. She can transform the style of the
[02:18:52] transform the style of the video, even switch the camera
[02:18:55] video, even switch the camera angle to a 360-degree shot. And
[02:18:56] angle to a 360-degree shot. And Gemini puts it all together.
[02:18:57] Gemini puts it all together. Let's take a look at what it
[02:18:58] Let's take a look at what it looks like.
[02:18:58] looks like. ♪
[02:18:58] ♪ ♪
[02:19:11] ♪ [Applause]
[02:19:11] [Applause] >> JOSH WOODWARD: All done
[02:19:12] >> JOSH WOODWARD: All done within Gemini.
[02:19:14] within Gemini. As you can see, Omni understands
[02:19:16] As you can see, Omni understands the physics of her movement,
[02:19:17] the physics of her movement, intelligently layering those
[02:19:18] intelligently layering those effects into the real world
[02:19:20] effects into the real world without losing the soul of the
[02:19:23] without losing the soul of the shot. Creating, remixing, and
[02:19:26] shot. Creating, remixing, and Editing a video has never been
[02:19:28] Editing a video has never been easier. So whatever vision is
[02:19:29] easier. So whatever vision is in her head, she can now use
[02:19:31] in her head, she can now use Gemini to make it real.
[02:19:37] Gemini to make it real. Google AI Plus, Pro and Ultra
[02:19:37] Google AI Plus, Pro and Ultra subscribers around the worl
[02:19:41] subscribers around the worl Can try Gemini Omni today right
[02:19:42] Can try Gemini Omni today right in the app.
[02:19:43] in the app. [Applause]
[02:19:50] [Applause] The third update today is about
[02:19:53] The third update today is about how agents are coming to Gemini.
[02:19:53] how agents are coming to Gemini. This is a big shift for Gemini,
[02:19:54] This is a big shift for Gemini, because agents don't just answer
[02:19:55] because agents don't just answer questions; they proactively work
[02:19:58] questions; they proactively work on your behalf.
[02:19:59] on your behalf. And to show you what that means,
[02:20:01] And to show you what that means, I want to introduce one of our
[02:20:02] I want to introduce one of our newest out of the box agents
[02:20:03] newest out of the box agents called the daily brief.
[02:20:05] called the daily brief. It's a personalized digest
[02:20:06] It's a personalized digest that's designed to be your first
[02:20:08] that's designed to be your first stop every morning. Here's how
[02:20:12] stop every morning. Here's how it works. You can see here it's
[02:20:14] it works. You can see here it's synthesizing information from
[02:20:15] synthesizing information from across my inbox, my calendar, my
[02:20:18] across my inbox, my calendar, my tasks, it's finding the most
[02:20:19] tasks, it's finding the most important things for me to be
[02:20:23] important things for me to be aware of.
[02:20:23] aware of. And I could totally forget these
[02:20:24] And I could totally forget these things like returning that back.
[02:20:25] things like returning that back. It's not just summarizing the
[02:20:27] It's not just summarizing the data, though; it's organizing it
[02:20:29] data, though; it's organizing it by topic. It's even suggesting
[02:20:31] by topic. It's even suggesting the next steps. And with this
[02:20:33] the next steps. And with this travel info, I can just take the
[02:20:35] travel info, I can just take the next step right in line. All of
[02:20:38] next step right in line. All of it is super concise in this
[02:20:41] it is super concise in this morning digest that's built for
[02:20:43] morning digest that's built for skimming.
[02:20:43] skimming. And I can't wait for you to try
[02:20:44] And I can't wait for you to try it out.
[02:20:45] it out. The Daily Brief is rolling out
[02:20:48] The Daily Brief is rolling out today also to
[02:20:52] today also to Google AI Plus, Pro, and Ultra
[02:20:53] Google AI Plus, Pro, and Ultra subscribers starting right here
[02:20:53] subscribers starting right here in the U.S.
[02:20:54] in the U.S. And that's just the help you're
[02:20:55] And that's just the help you're going to get before breakfast.
[02:20:58] going to get before breakfast. Beyond the Daily Brief, we're
[02:20:59] Beyond the Daily Brief, we're allowing power users to create
[02:21:01] allowing power users to create their own custom workflows with
[02:21:05] their own custom workflows with Gemini Spark like I showed you
[02:21:09] Gemini Spark like I showed you earlier.
[02:21:09] earlier. You'll remember at the beginning
[02:21:11] You'll remember at the beginning Of the show I sent a few tasks
[02:21:14] Of the show I sent a few tasks off so let's go check in on
[02:21:17] off so let's go check in on them, let's see how they've
[02:21:19] them, let's see how they've completed. And you'll remember
[02:21:20] completed. And you'll remember when I did this earlier, I did
[02:21:21] when I did this earlier, I did it from the phone so we're going
[02:21:23] it from the phone so we're going to actually pull it up on the
[02:21:25] to actually pull it up on the laptop to see how it thinks
[02:21:27] laptop to see how it thinks across.
[02:21:27] across. And if I open it up here on the
[02:21:29] And if I open it up here on the laptop you can see it's
[02:21:29] laptop you can see it's subdivided those three tasks
[02:21:30] subdivided those three tasks right here, one, two, three, and
[02:21:32] right here, one, two, three, and it's actually got a really nice
[02:21:34] it's actually got a really nice feature. There's certain tasks
[02:21:36] feature. There's certain tasks it will actually ask for your
[02:21:37] it will actually ask for your input so you can approve it, so
[02:21:39] input so you can approve it, so it doesn't just go off and do
[02:21:40] it doesn't just go off and do things you don't want.
[02:21:41] things you don't want. But I'll check on this one here
[02:21:43] But I'll check on this one here This is our school year planning
[02:21:46] This is our school year planning checklist and I asked it
[02:21:47] checklist and I asked it remember to create a docket of
[02:21:47] remember to create a docket of all the things I didn't want to
[02:21:50] all the things I didn't want to forget between now and the end
[02:21:51] forget between now and the end of the year.
[02:21:52] of the year. And so I'll open this one up,
[02:21:54] And so I'll open this one up, and what's amazing about this is
[02:21:55] and what's amazing about this is it takes advantage of all the
[02:21:56] it takes advantage of all the Google Docs formatting so I can
[02:21:57] Google Docs formatting so I can immediately click in and see the
[02:21:59] immediately click in and see the checklist here for all our
[02:22:00] checklist here for all our various kids, all subdivided
[02:22:01] various kids, all subdivided like this, and easily go one by
[02:22:02] like this, and easily go one by one, the date, the activity, the
[02:22:04] one, the date, the activity, the color coding, all integrated in
[02:22:05] color coding, all integrated in one spot.
[02:22:08] one spot. Pretty incredible how much time
[02:22:09] Pretty incredible how much time this can save.
[02:22:11] this can save. [Applause]
[02:22:11] [Applause] Now, what comes across all of
[02:22:13] Now, what comes across all of these cases is that we want to
[02:22:16] these cases is that we want to make agents easy to use and safe
[02:22:19] make agents easy to use and safe and secure. As a reminder,
[02:22:20] and secure. As a reminder, Spark is going to start rolling
[02:22:24] Spark is going to start rolling out to trusted testers this
[02:22:25] out to trusted testers this week, and we're planning to roll
[02:22:27] week, and we're planning to roll it out as a beta to Google AI
[02:22:32] it out as a beta to Google AI Ultra subscribers next week in
[02:22:34] Ultra subscribers next week in the U.S., and we'll be bringing
[02:22:35] the U.S., and we'll be bringing a version of Spark also to
[02:22:37] a version of Spark also to Gemini Workspace, as well as
[02:22:38] Gemini Workspace, as well as Gemini Enterprise.
[02:22:39] Gemini Enterprise. And this is just the beginning.
[02:22:39] And this is just the beginning. We've got a packed road map of
[02:22:41] We've got a packed road map of features we'll be shipping
[02:22:42] features we'll be shipping throughout the summer. It's
[02:22:43] throughout the summer. It's going to be amazing. I'm really
[02:22:45] going to be amazing. I'm really excited about the MCP
[02:22:47] excited about the MCP integration. That's going to
[02:22:48] integration. That's going to enable Spark to handle so many
[02:22:50] enable Spark to handle so many tasks in ways that are even more
[02:22:54] tasks in ways that are even more proactive and powerful.
[02:22:56] proactive and powerful. Imagine, Spark will be able to
[02:22:56] Imagine, Spark will be able to look ahead on your calendar and
[02:22:58] look ahead on your calendar and see that you're on snack duty,
[02:23:00] see that you're on snack duty, or for your kids' T-ball game on
[02:23:03] or for your kids' T-ball game on Saturday.
[02:23:04] Saturday. They can go ahead, and
[02:23:05] They can go ahead, and proactively set up your
[02:23:06] proactively set up your instacart order on its own so
[02:23:07] instacart order on its own so you don't forget those snacks.
[02:23:09] you don't forget those snacks. It will even remember to pick
[02:23:10] It will even remember to pick snacks that don't have nuts in
[02:23:15] snacks that don't have nuts in them.
[02:23:16] them. And we have this incredible
[02:23:16] And we have this incredible lineup of partners that are
[02:23:17] lineup of partners that are coming that will be integrating
[02:23:18] coming that will be integrating with Spark over the summer.
[02:23:21] with Spark over the summer. Now, I know I promised just
[02:23:23] Now, I know I promised just three updates, but we have one
[02:23:25] three updates, but we have one more. Last month, we dropped
[02:23:26] more. Last month, we dropped the Gemini app for Mac OS. Here
[02:23:28] the Gemini app for Mac OS. Here it is on the screen. It's
[02:23:30] it is on the screen. It's gorgeous. This is a small team
[02:23:31] gorgeous. This is a small team that built this native app from
[02:23:35] that built this native app from scratch, using Antigravity.
[02:23:36] scratch, using Antigravity. They did over 100 features in
[02:23:38] They did over 100 features in less than 100 days. Now, two
[02:23:42] less than 100 days. Now, two weekends ago we were hacking on
[02:23:43] weekends ago we were hacking on the Mac app and we came up with
[02:23:45] the Mac app and we came up with something cool and we wanted to
[02:23:46] something cool and we wanted to sneak it into the show. Do you
[02:23:47] sneak it into the show. Do you all want to see it live?
[02:23:49] all want to see it live? All right.
[02:23:51] All right. [Applause]
[02:23:51] [Applause] We've got a big summer trip
[02:23:53] We've got a big summer trip coming up, and we've got to find
[02:23:56] coming up, and we've got to find a kennel for our two dogs, and
[02:23:57] a kennel for our two dogs, and here's a picture of our two
[02:23:59] here's a picture of our two dogs, there's Hank, looking
[02:24:01] dogs, there's Hank, looking good, and Louis Cinnamon, one of
[02:24:03] good, and Louis Cinnamon, one of the most interesting names for a
[02:24:04] the most interesting names for a dog we've ever heard.
[02:24:07] dog we've ever heard. What we're going to do and
[02:24:08] What we're going to do and remember when you have to go to
[02:24:09] remember when you have to go to a new kennel there's lots of
[02:24:11] a new kennel there's lots of paperwork, allergies, vaccines,
[02:24:13] paperwork, allergies, vaccines, all the history you have to pull
[02:24:15] all the history you have to pull together. It's so painful. And
[02:24:17] together. It's so painful. And so what you can do with this on
[02:24:20] so what you can do with this on Gemini, on Mac OS is actually
[02:24:24] Gemini, on Mac OS is actually take a look at a bunch of
[02:24:25] take a look at a bunch of documents like this. You'll be
[02:24:26] documents like this. You'll be able to select them all and
[02:24:28] able to select them all and long-press the Function Key and
[02:24:30] long-press the Function Key and just dictate the e-mail to the
[02:24:32] just dictate the e-mail to the kennel.
[02:24:32] kennel. So it works something like this.
[02:24:36] So it works something like this. Hi, there, I need to do a short
[02:24:39] Hi, there, I need to do a short boarding stay for my two dogs,
[02:24:41] boarding stay for my two dogs, Louis Cinnamon and Hank starting
[02:24:43] Louis Cinnamon and Hank starting this Thursday, oh, wait no
[02:24:44] this Thursday, oh, wait no actually, it's this Friday.
[02:24:46] actually, it's this Friday. They've never stayed with you
[02:24:47] They've never stayed with you before, but they're very social
[02:24:49] before, but they're very social dogs and also can you turn these
[02:24:51] dogs and also can you turn these files into a table with their
[02:24:55] files into a table with their details, allergies, recent
[02:24:56] details, allergies, recent vaccines and make this e-mail
[02:24:57] vaccines and make this e-mail sound friendly so we make a good
[02:25:00] sound friendly so we make a good first impression.
[02:25:02] first impression. All right. I'm going to release
[02:25:03] All right. I'm going to release the function key, you can see
[02:25:05] the function key, you can see Gemini is thinking at the bottom
[02:25:06] Gemini is thinking at the bottom here on this Macbook. What it's
[02:25:10] here on this Macbook. What it's done is because I've selected
[02:25:11] done is because I've selected those files in Finder, using its
[02:25:14] those files in Finder, using its multimodal understanding, it can
[02:25:15] multimodal understanding, it can go through the PDFs, it can go
[02:25:18] go through the PDFs, it can go through these images of their
[02:25:20] through these images of their invoices, and it's all
[02:25:21] invoices, and it's all controlled by my voice. So it
[02:25:23] controlled by my voice. So it can actually take all of that
[02:25:24] can actually take all of that complex information and look at
[02:25:26] complex information and look at that, there it is. It's got a
[02:25:29] that, there it is. It's got a table in line --
[02:25:31] table in line -- [Applause]
[02:25:34] [Applause] It's also so amazing, because it
[02:25:36] It's also so amazing, because it corrects -- remember, I said
[02:25:37] corrects -- remember, I said Thursday, no scratch that
[02:25:39] Thursday, no scratch that Friday, and it Pics that up and
[02:25:41] Friday, and it Pics that up and automatically cleans up my
[02:25:43] automatically cleans up my input.
[02:25:43] input. This is the power of what Gemini
[02:25:45] This is the power of what Gemini can do using your voice.
[02:25:49] can do using your voice. These new voice capabilities in
[02:25:53] These new voice capabilities in Gemini Spark will be coming to
[02:25:54] Gemini Spark will be coming to the Mac app this summer, as
[02:25:55] the Mac app this summer, as well.
[02:25:56] well. [Applause]
[02:26:00] [Applause] And so there it is. Today has
[02:26:01] And so there it is. Today has been a jam-packed Gemini day.
[02:26:04] been a jam-packed Gemini day. We've completely redesigned the
[02:26:07] We've completely redesigned the entire experience with Neural
[02:26:10] entire experience with Neural Expressive. We're shipping the
[02:26:11] Expressive. We're shipping the brand-new Gemini Omni model and
[02:26:12] brand-new Gemini Omni model and three the .5 Flash model with
[02:26:17] three the .5 Flash model with 3.5 Pro coming soon and you can
[02:26:20] 3.5 Pro coming soon and you can now put Gemini to work. And it
[02:26:22] now put Gemini to work. And it will keep working for you even
[02:26:23] will keep working for you even while you sleep, thanks to new
[02:26:24] while you sleep, thanks to new features like the Daily Brief
[02:26:25] features like the Daily Brief and Gemini Spark.
[02:26:28] and Gemini Spark. All of this gets us closer to
[02:26:30] All of this gets us closer to our vision of a universal
[02:26:32] our vision of a universal assistant that's personal,
[02:26:35] assistant that's personal, proactive, and powerful in your
[02:26:36] proactive, and powerful in your daily life. So whether you're a
[02:26:38] daily life. So whether you're a student, a busy parent, or a
[02:26:40] student, a busy parent, or a small business owner, we look
[02:26:42] small business owner, we look forward to what you're going to
[02:26:43] forward to what you're going to be able to do with Gemini.
[02:26:44] be able to do with Gemini. Thank you.
[02:26:45] Thank you. [Applause]
[02:26:47] [Applause] >> Hi.
[02:26:48] >> Hi. I'm Holly.
[02:26:49] I'm Holly. I moved from South Korea to the
[02:26:52] I moved from South Korea to the U.S. in 2005.
[02:26:55] U.S. in 2005. Food has always been something
[02:26:56] Food has always been something we love to do in our family.
[02:26:57] we love to do in our family. So I decided to open a
[02:26:59] So I decided to open a restaurant.
[02:27:02] restaurant. But running a restaurant, so
[02:27:05] But running a restaurant, so hard.
[02:27:09] hard. I discovered Gemini could help
[02:27:12] I discovered Gemini could help me with a lot of things.
[02:27:15] me with a lot of things. From menus to marketing,
[02:27:16] From menus to marketing, budgeting and inventory.
[02:27:16] budgeting and inventory. How much sesame oil did I order
[02:27:17] How much sesame oil did I order last month?
[02:27:17] last month? >> Last month you ordered five
[02:27:18] >> Last month you ordered five gallons.
[02:27:22] gallons. >> I even rebuilt our website
[02:27:22] >> I even rebuilt our website was Antigravity and Stitch to
[02:27:25] was Antigravity and Stitch to include a custom chatbot for ou
[02:27:26] include a custom chatbot for ou customers.
[02:27:28] customers. But one day we needed to find a
[02:27:32] But one day we needed to find a dishwasher very last minute and
[02:27:33] dishwasher very last minute and that was my "aha" moment.
[02:27:39] that was my "aha" moment. I wanted to help small
[02:27:39] I wanted to help small businesses and people find each
[02:27:40] businesses and people find each other faster.
[02:27:41] other faster. So I got a small team together
[02:27:42] So I got a small team together and we used Gemini models to
[02:27:43] and we used Gemini models to build an inclusive hiring
[02:27:47] build an inclusive hiring platform called WorkOnward.
[02:27:48] platform called WorkOnward. And we did what other job sites
[02:27:49] And we did what other job sites are not doing.
[02:27:51] are not doing. We translated the job postings
[02:27:52] We translated the job postings and then made it possible to
[02:27:54] and then made it possible to post jobs just by text.
[02:27:56] post jobs just by text. It helps break down barriers fo
[02:27:58] It helps break down barriers fo those who aren't tech savvy and
[02:28:03] those who aren't tech savvy and helps people find their place.
[02:28:06] helps people find their place. Our little tool is now a
[02:28:08] Our little tool is now a platform used by over 13,000
[02:28:10] platform used by over 13,000 people in New York City.
[02:28:13] people in New York City. It's about honoring the dignity
[02:28:15] It's about honoring the dignity of workers and small businesses
[02:28:17] of workers and small businesses and I think that's a power of
[02:28:18] and I think that's a power of AI.
[02:28:21] AI. ♪
[02:28:21] ♪ ♪
[02:28:27] ♪ [Applause]
[02:28:36] [Applause] >> SUZ CHAMBER: As you've heard
[02:28:38] >> SUZ CHAMBER: As you've heard today, our models and products
[02:28:44] today, our models and products are unlocking new breakthroughs,
[02:28:45] are unlocking new breakthroughs, but the real breakthrough isn't
[02:28:47] but the real breakthrough isn't the technology; it's what you do
[02:28:49] the technology; it's what you do with it.
[02:28:51] with it. Whether you're a designer, an
[02:28:53] Whether you're a designer, an entrepreneur, or an artist, our
[02:28:54] entrepreneur, or an artist, our products help shrink the gap
[02:28:55] products help shrink the gap between the moment you have an
[02:28:58] between the moment you have an idea and the moment you create
[02:28:59] idea and the moment you create it. At its best, technology is
[02:29:00] it. At its best, technology is a canvas for human creativity,
[02:29:04] a canvas for human creativity, and today, I want to dive into
[02:29:07] and today, I want to dive into the three products that help you
[02:29:09] the three products that help you bring your ideas to life. Let's
[02:29:11] bring your ideas to life. Let's start with one that takes the
[02:29:13] start with one that takes the power of Nano Banana and gives
[02:29:14] power of Nano Banana and gives you even more creative control.
[02:29:18] you even more creative control. Introducing Google Pics, a new
[02:29:20] Introducing Google Pics, a new product in Google Workspace.
[02:29:23] product in Google Workspace. Pics is our image creation and
[02:29:24] Pics is our image creation and editing tool that helps you
[02:29:26] editing tool that helps you create just about anything, from
[02:29:31] create just about anything, from party flyers to infographics
[02:29:32] party flyers to infographics with the creative control you
[02:29:35] with the creative control you want. Watch how easy this is.
[02:29:36] want. Watch how easy this is. You start with a base image as
[02:29:38] You start with a base image as your canvas, and what's really
[02:29:39] your canvas, and what's really cool is that Pics understands
[02:29:42] cool is that Pics understands what's in your creations and how
[02:29:45] what's in your creations and how the objects work together. You
[02:29:46] the objects work together. You can hover over an element and
[02:29:48] can hover over an element and click to remove it, or you can
[02:29:50] click to remove it, or you can resize an object to fit the
[02:29:54] resize an object to fit the frame. Once the layout is set,
[02:29:56] frame. Once the layout is set, you can add or edit text and
[02:29:59] you can add or edit text and translate all of it with just a
[02:30:04] translate all of it with just a few clicks.
[02:30:07] few clicks. [Applause]
[02:30:07] [Applause] Pretty cool.
[02:30:09] Pretty cool. Every output from our creative
[02:30:13] Every output from our creative tools, including Pics, is
[02:30:14] tools, including Pics, is watermarked with SynthID and
[02:30:15] watermarked with SynthID and Pics is rolling out this summer.
[02:30:19] Pics is rolling out this summer. [Applause]
[02:30:24] [Applause] But what if you want to go
[02:30:26] But what if you want to go beyond images? Maybe you want
[02:30:28] beyond images? Maybe you want to design an app or a website.
[02:30:31] to design an app or a website. Now, you can build UI at the
[02:30:33] Now, you can build UI at the speed of thought. Teams across
[02:30:36] speed of thought. Teams across Google use our design product
[02:30:38] Google use our design product called Stitch to turn rough
[02:30:41] called Stitch to turn rough ideas into beautiful UI designs.
[02:30:43] ideas into beautiful UI designs. But it's not just us. In the
[02:30:45] But it's not just us. In the last year, the world used Stitch
[02:30:48] last year, the world used Stitch to generate over 100 million UI
[02:30:52] to generate over 100 million UI screens. And to continue that
[02:30:53] screens. And to continue that momentum, today, we're
[02:30:53] momentum, today, we're introducing new ways to design.
[02:30:55] introducing new ways to design. Let's take a look at how this
[02:30:56] Let's take a look at how this works.
[02:31:00] works. My friends Tyler and Jenny own a
[02:31:01] My friends Tyler and Jenny own a pizza company. They have a ton
[02:31:06] pizza company. They have a ton of experience making pizza and
[02:31:06] of experience making pizza and no experience designing
[02:31:08] no experience designing websites. With a single prompt,
[02:31:09] websites. With a single prompt, Stitch will go to work,
[02:31:11] Stitch will go to work, generating that UI live.
[02:31:13] generating that UI live. Now, this is just the first
[02:31:16] Now, this is just the first pass, but if they want to refine
[02:31:19] pass, but if they want to refine it, they can collaborate with
[02:31:20] it, they can collaborate with Stitch in real time, either by
[02:31:21] Stitch in real time, either by writing prompts or using their
[02:31:22] writing prompts or using their voices. For example, they can
[02:31:27] voices. For example, they can jump in and say "make the header
[02:31:32] jump in and say "make the header text larger"and update the menu
[02:31:35] text larger"and update the menu to highlight more pizza
[02:31:36] to highlight more pizza options."
[02:31:41] options." And the layout updates in real
[02:31:41] And the layout updates in real time.
[02:31:48] time. And because Stitch links to many
[02:31:49] And because Stitch links to many tools, they can export their
[02:31:49] tools, they can export their design to code or launch their
[02:31:50] design to code or launch their website in just a few clicks.
[02:31:51] website in just a few clicks. These updates in Stitch are
[02:31:52] These updates in Stitch are rolling out today to users
[02:31:53] rolling out today to users globally.
[02:31:54] globally. [Applause]
[02:31:57] [Applause] With every new technology,
[02:32:01] With every new technology, what's most exciting is seeing
[02:32:03] what's most exciting is seeing what people make with it.
[02:32:04] what people make with it. That's why from day one, we
[02:32:05] That's why from day one, we haven't just built models and
[02:32:07] haven't just built models and tools for creatives; we've built
[02:32:08] tools for creatives; we've built with them. Let's take a look at
[02:32:10] with them. Let's take a look at some of our amazing partners and
[02:32:12] some of our amazing partners and what we've created together.
[02:32:19] what we've created together. >> You're in the era where the
[02:32:20] >> You're in the era where the human has to be the most
[02:32:21] human has to be the most creative.
[02:32:21] creative. ♪
[02:32:22] ♪ ♪
[02:32:33] ♪ >> Toto, I have a feeling we're
[02:32:35] >> Toto, I have a feeling we're not in Kansas anymore.
[02:32:39] not in Kansas anymore. >> Right?
[02:32:39] >> Right? ♪
[02:32:40] ♪ ♪
[02:32:54] ♪ >> Yeah. We'll do that.
[02:32:56] >> Yeah. We'll do that. ♪
[02:32:58] ♪ [Applause]
[02:33:03] [Applause] >> SUZ CHAMBER: That spirit of
[02:33:06] >> SUZ CHAMBER: That spirit of collaboration is why we launched
[02:33:08] collaboration is why we launched Google Flow at I/O last year.
[02:33:11] Google Flow at I/O last year. Today, millions of people are
[02:33:12] Today, millions of people are using it to create images,
[02:33:16] using it to create images, films, and music, in ways that
[02:33:18] films, and music, in ways that never could have been done
[02:33:18] never could have been done before and to build on that
[02:33:19] before and to build on that progress, we're rolling out
[02:33:21] progress, we're rolling out Gemini Omni, a new agent, custom
[02:33:23] Gemini Omni, a new agent, custom tools, and music remixing
[02:33:31] tools, and music remixing [Applause]
[02:33:34] [Applause] Let's start with Gemini Omni.
[02:33:38] Let's start with Gemini Omni. Take a look at this raw footage.
[02:33:39] Take a look at this raw footage. I love how this person is
[02:33:42] I love how this person is walking, his presence, his
[02:33:44] walking, his presence, his pacing, let's not change any of
[02:33:47] pacing, let's not change any of that.
[02:33:47] that. With a simple prompt and style
[02:33:52] With a simple prompt and style reference, Omni allows us to
[02:33:56] reference, Omni allows us to transform the environment, add
[02:33:58] transform the environment, add visual effects and any other
[02:33:59] visual effects and any other element all while preserving the
[02:33:59] element all while preserving the original performance.
[02:34:01] original performance. And now, you can even add new
[02:34:05] And now, you can even add new characters, while maintaining
[02:34:06] characters, while maintaining everything else in the scene.
[02:34:11] everything else in the scene. [Applause]
[02:34:12] [Applause] Next, let's take a look at our
[02:34:14] Next, let's take a look at our second big update, a new agent
[02:34:15] second big update, a new agent in Google Flow.
[02:34:18] in Google Flow. Until today, Flow could only
[02:34:23] Until today, Flow could only execute one prompt at a time.
[02:34:23] execute one prompt at a time. Now, your agent can take
[02:34:24] Now, your agent can take multiple actions all at once.
[02:34:29] multiple actions all at once. Starting with just a single
[02:34:33] Starting with just a single image, I can ask the agent to
[02:34:34] image, I can ask the agent to help me find the best camera
[02:34:35] help me find the best camera angles for this scene. It
[02:34:36] angles for this scene. It analyzes what's happening in the
[02:34:39] analyzes what's happening in the image, concepts the most
[02:34:43] image, concepts the most compelling angles and then boom,
[02:34:45] compelling angles and then boom, a single image becomes 16 unique
[02:34:50] a single image becomes 16 unique videos.
[02:34:51] videos. [Applause]
[02:34:52] [Applause] The agent can also handle
[02:34:55] The agent can also handle large-scale edits, like
[02:34:57] large-scale edits, like transforming all of these scenes
[02:34:59] transforming all of these scenes from early morning to late at
[02:35:03] from early morning to late at night.
[02:35:05] night. Its understanding of context is
[02:35:06] Its understanding of context is precise. The desert sky goes
[02:35:08] precise. The desert sky goes completely dark, and the
[02:35:11] completely dark, and the headlights turn on illuminating
[02:35:12] headlights turn on illuminating the dust. It's a true
[02:35:13] the dust. It's a true collaborator, helping you create
[02:35:15] collaborator, helping you create and edit at scale. Our next
[02:35:19] and edit at scale. Our next --
[02:35:19] -- [Applause]
[02:35:25] [Applause] Our next update is Flow tools.
[02:35:25] Our next update is Flow tools. Now, you can vibe-code any
[02:35:28] Now, you can vibe-code any creative tool you can think of,
[02:35:30] creative tool you can think of, right in Flow. Custom built by
[02:35:33] right in Flow. Custom built by you for your unique creative
[02:35:35] you for your unique creative process, like designing video
[02:35:38] process, like designing video effects, hand-drawn animations
[02:35:39] effects, hand-drawn animations or layering text.
[02:35:41] or layering text. You can start building, sharing,
[02:35:43] You can start building, sharing, and remixing tools today.
[02:35:47] and remixing tools today. [Applause]
[02:35:53] [Applause] Visual magic is only half the
[02:35:54] Visual magic is only half the story. Google Flow Music brings
[02:35:56] story. Google Flow Music brings the same creative control to
[02:35:58] the same creative control to help artists create original
[02:35:58] help artists create original songs.
[02:36:09] songs. For months, one of our teammates
[02:36:10] For months, one of our teammates had a piano riff in his head.
[02:36:11] had a piano riff in his head. Let's listen to that original
[02:36:11] Let's listen to that original recording.
[02:36:12] recording. ♪ [ piano ] ♪
[02:36:22] ♪ [ piano ] ♪ It's a really cool foundation,
[02:36:24] It's a really cool foundation, but he wanted to turn it into a
[02:36:25] but he wanted to turn it into a demo to guide his band. So he
[02:36:27] demo to guide his band. So he recorded his piano into Flow
[02:36:28] recorded his piano into Flow Music and prompted it for an R&B
[02:36:29] Music and prompted it for an R&B direction with a female vocal to
[02:36:30] direction with a female vocal to inspire his band's singer.
[02:36:31] inspire his band's singer. Let's take a listen.
[02:36:37] Let's take a listen. ♪
[02:36:38] ♪ ♪
[02:36:51] ♪ [Applause]
[02:36:59] [Applause] Now, this isn't his final track,
[02:37:00] Now, this isn't his final track, but it helped his band decide
[02:37:03] but it helped his band decide what to record next. These new
[02:37:07] what to record next. These new features in Google Flow and
[02:37:09] features in Google Flow and Google Flow Music are available
[02:37:11] Google Flow Music are available today.
[02:37:12] today. [Applause]
[02:37:21] [Applause] From musicians to small
[02:37:21] From musicians to small businesses, and vibe coders to
[02:37:22] businesses, and vibe coders to artists, the real breakthrough
[02:37:24] artists, the real breakthrough isn't the technology; it's what
[02:37:26] isn't the technology; it's what you do with it. And we can't
[02:37:27] you do with it. And we can't wait to see what you create
[02:37:31] wait to see what you create [Applause]
[02:37:35] [Applause] Next, I would like to hand
[02:37:37] Next, I would like to hand things over to Shahram to show
[02:37:38] things over to Shahram to show you what happens when we take
[02:37:39] you what happens when we take Google's latest innovations and
[02:37:41] Google's latest innovations and bring them into the real world.
[02:37:43] bring them into the real world. [Applause]
[02:37:43] [Applause] ♪
[02:37:44] ♪ ♪
[02:37:58] ♪ >> SHAHRAM IZADI: This is such
[02:38:00] >> SHAHRAM IZADI: This is such an exciting time for XR. AI
[02:38:05] an exciting time for XR. AI continues to unlock all-new
[02:38:05] continues to unlock all-new experiences on headsets, glasses
[02:38:07] experiences on headsets, glasses and everything in between.
[02:38:10] and everything in between. Android XR, the new platform
[02:38:12] Android XR, the new platform we've built with Samsung and
[02:38:14] we've built with Samsung and optimized for Snapdragon with
[02:38:17] optimized for Snapdragon with Qualcomm, combines this
[02:38:20] Qualcomm, combines this pioneering hardware with Gemini.
[02:38:25] pioneering hardware with Gemini. This gives you help in the
[02:38:27] This gives you help in the moment without taking you out of
[02:38:27] moment without taking you out of it. The next big milestone for
[02:38:29] it. The next big milestone for Android XR is Intelligent
[02:38:32] Android XR is Intelligent Eyewear. There will be two
[02:38:33] Eyewear. There will be two types of these AI glasses that
[02:38:35] types of these AI glasses that connect to your phone and give
[02:38:38] connect to your phone and give you hands-free help all day
[02:38:40] you hands-free help all day long.
[02:38:40] long. Last year, we showed you display
[02:38:47] Last year, we showed you display glasses on the I/O stage. With
[02:38:48] glasses on the I/O stage. With the small in-lens display,
[02:38:49] the small in-lens display, you'll get helpful information
[02:38:51] you'll get helpful information right in front of you, right
[02:38:55] right in front of you, right when you need it, like seeing
[02:38:55] when you need it, like seeing your Uber pickup details at a
[02:38:58] your Uber pickup details at a glance, or getting live
[02:38:59] glance, or getting live translations as you travel.
[02:39:01] translations as you travel. You'll even be able to use
[02:39:03] You'll even be able to use features like Create My Widget
[02:39:06] features like Create My Widget to make glance-able elements.
[02:39:09] to make glance-able elements. The first wave of developers are
[02:39:11] The first wave of developers are already creating display
[02:39:13] already creating display experiences, and you'll hear
[02:39:18] experiences, and you'll hear more about these glasses later
[02:39:19] more about these glasses later this year when we expand our
[02:39:20] this year when we expand our Trusted Tester Program. But
[02:39:22] Trusted Tester Program. But let's talk about what's
[02:39:26] let's talk about what's launching this year.
[02:39:27] launching this year. Today, I'm excited to announce
[02:39:29] Today, I'm excited to announce that our first audio glasses
[02:39:34] that our first audio glasses will arrive this fall.
[02:39:35] will arrive this fall. [Applause]
[02:39:38] [Applause] They are designed to give you
[02:39:40] They are designed to give you all-day help from Gemini that is
[02:39:45] all-day help from Gemini that is spoken into your ear privately
[02:39:45] spoken into your ear privately rather than shown on a display.
[02:39:48] rather than shown on a display. And these glasses let you stay
[02:39:50] And these glasses let you stay hands-free and heads-up for
[02:39:53] hands-free and heads-up for things like listening to music,
[02:39:55] things like listening to music, taking photos, making calls, or
[02:39:57] taking photos, making calls, or tapping into your phone apps
[02:40:00] tapping into your phone apps without reaching into your
[02:40:02] without reaching into your pocket.
[02:40:03] pocket. Personally, I love to cook, but
[02:40:04] Personally, I love to cook, but I'm not one to follow a recipe
[02:40:07] I'm not one to follow a recipe book, so it's great to have
[02:40:08] book, so it's great to have Gemini offer up some advice
[02:40:11] Gemini offer up some advice before I get too experimental.
[02:40:12] before I get too experimental. These audio glasses have brought
[02:40:16] These audio glasses have brought together an all-star cast of
[02:40:17] together an all-star cast of partners. You've got the
[02:40:20] partners. You've got the world's top eyewear designers at
[02:40:22] world's top eyewear designers at Gentle Monster and Warby Parker
[02:40:24] Gentle Monster and Warby Parker creating iconic designs. The
[02:40:28] creating iconic designs. The --
[02:40:29] -- [Applause]
[02:40:29] [Applause] Thank you.
[02:40:34] Thank you. The world's leading electronics
[02:40:36] The world's leading electronics company, Samsung, is building
[02:40:37] company, Samsung, is building innovative new devices and
[02:40:38] innovative new devices and experiences that set the bar for
[02:40:44] experiences that set the bar for the whole industry. And we've
[02:40:45] the whole industry. And we've been working to bring the best
[02:40:48] been working to bring the best of Google to these glasses, as
[02:40:51] of Google to these glasses, as well.
[02:40:54] well. And yes. They're going to pair
[02:40:54] And yes. They're going to pair with Android and iOS devices.
[02:40:55] with Android and iOS devices. [Applause]
[02:40:59] [Applause] They look incredible and today,
[02:41:02] They look incredible and today, You are actually going to
[02:41:03] You are actually going to finally see for yourself.
[02:41:06] finally see for yourself. Let's pass it to our friend and
[02:41:07] Let's pass it to our friend and partner from Samsung, Jay Kim,
[02:41:08] partner from Samsung, Jay Kim, to kick off the world's first
[02:41:10] to kick off the world's first look.
[02:41:16] look. >> At Samsung, our vision is to
[02:41:17] >> At Samsung, our vision is to enrich people's lives and help
[02:41:19] enrich people's lives and help shape how we live tomorrow.
[02:41:24] shape how we live tomorrow. In close partnership with
[02:41:25] In close partnership with Google,
[02:41:26] Google, we're introducing intelligent
[02:41:27] we're introducing intelligent eyewear that empowers you to
[02:41:28] eyewear that empowers you to connect to the world with
[02:41:28] connect to the world with confidence.
[02:41:29] confidence. Built with Samsung's precise
[02:41:30] Built with Samsung's precise engineering and craftsmanship,
[02:41:36] engineering and craftsmanship, we're merging form, function an
[02:41:36] we're merging form, function an helpful intelligence to create
[02:41:38] helpful intelligence to create something you'll want to wear.
[02:41:38] something you'll want to wear. In eyewear, every millimeter
[02:41:41] In eyewear, every millimeter counts.
[02:41:41] counts. Today, we're thrilled to
[02:41:43] Today, we're thrilled to share a first look at the
[02:41:45] share a first look at the upcoming styles co-created with
[02:41:50] upcoming styles co-created with our eyewear partners, Warby
[02:41:50] our eyewear partners, Warby Parker and Gentle Monster.
[02:41:51] Parker and Gentle Monster. Let's take a look.
[02:41:59] Let's take a look. >> People are always saying,
[02:41:59] >> People are always saying, “Hey, we have to be
[02:42:01] “Hey, we have to be disruptive.” But we have to
[02:42:04] disruptive.” But we have to think about what is the
[02:42:05] think about what is the disruption?
[02:42:05] disruption? I want to make intelligent
[02:42:06] I want to make intelligent eyewear that looks prettier tha
[02:42:06] eyewear that looks prettier tha normal eyewear.
[02:42:08] normal eyewear. That's our goal.
[02:42:09] That's our goal. It's the balance between
[02:42:12] It's the balance between technology and fashion.
[02:42:13] technology and fashion. It's not only product.
[02:42:14] It's not only product. It's all about perception and
[02:42:15] It's all about perception and emotion.
[02:42:19] emotion. You know, heart, that is the
[02:42:19] You know, heart, that is the DNA.
[02:42:19] DNA. I want to give confidence to
[02:42:20] I want to give confidence to people.
[02:42:23] people. When they wear this, they feel
[02:42:24] When they wear this, they feel like connected with this kind o
[02:42:28] like connected with this kind o braveness, these kind of
[02:42:28] braveness, these kind of rebellious things because this
[02:42:29] rebellious things because this is who we are.
[02:42:30] is who we are. That's the meaning of Gentle
[02:42:31] That's the meaning of Gentle Monster with Google and Samsung
[02:42:34] Monster with Google and Samsung >> Glasses are a deeply persona
[02:42:37] >> Glasses are a deeply persona product.
[02:42:38] product. They shape how you see the worl
[02:42:39] They shape how you see the worl and how the world sees you.
[02:42:43] and how the world sees you. >> What you see here is an
[02:42:44] >> What you see here is an evolution of Warby Parker's
[02:42:45] evolution of Warby Parker's first intelligent eyewear
[02:42:47] first intelligent eyewear designs.
[02:42:50] designs. >> Our vision for intelligent
[02:42:51] >> Our vision for intelligent eyewear started by wanting to
[02:42:51] eyewear started by wanting to design a beautiful pair of
[02:42:52] design a beautiful pair of glasses.
[02:42:54] glasses. We often take inspiration from
[02:42:55] We often take inspiration from different art objects, artists,
[02:42:57] different art objects, artists, eras in time.
[02:43:01] eras in time. >> It was important for us not
[02:43:02] >> It was important for us not to hide the technology but to
[02:43:03] to hide the technology but to celebrate it.
[02:43:05] celebrate it. >> These will not only help
[02:43:06] >> These will not only help people see but will help them
[02:43:07] people see but will help them understand the world more
[02:43:09] understand the world more deeply.
[02:43:10] deeply. >> We want people to experience
[02:43:11] >> We want people to experience the world fully and that's the
[02:43:12] the world fully and that's the magic of this technology.
[02:43:15] magic of this technology. Hey, Gemini, who wore it better
[02:43:17] Hey, Gemini, who wore it better [Applause]
[02:43:28] [Applause] >> SHAHRAM IZADI: Aren't they
[02:43:36] >> SHAHRAM IZADI: Aren't they beautiful? These are the firs
[02:43:39] beautiful? These are the firs Two designs of a bigger
[02:43:40] Two designs of a bigger collection coming this fall.
[02:43:42] collection coming this fall. You know what time it is now.
[02:43:43] You know what time it is now. Who's up for a live demo?
[02:43:45] Who's up for a live demo? [Applause]
[02:43:45] [Applause] Nishtha is going to join me on
[02:43:47] Nishtha is going to join me on stage, so let's have Gemini play
[02:43:49] stage, so let's have Gemini play some entrance music for her.
[02:43:52] some entrance music for her. And it's seeing the world around
[02:43:54] And it's seeing the world around you, you can see, so the more
[02:43:56] you, you can see, so the more hyped you are in the audience,
[02:43:57] hyped you are in the audience, the more pumping the music will
[02:44:01] the more pumping the music will be.
[02:44:06] be. Gemini... I think it's done it
[02:44:09] Gemini... I think it's done it already. Play that music! Come
[02:44:10] already. Play that music! Come on let's go.
[02:44:11] on let's go. ♪
[02:44:12] ♪ ♪
[02:44:15] ♪ Nishtha, welcome.
[02:44:20] Nishtha, welcome. Welcome, Nishtha.
[02:44:21] Welcome, Nishtha. >> NISHTHA BHATIA: Thank you.
[02:44:22] >> NISHTHA BHATIA: Thank you. >> SHAHRAM IZADI: I'm wearing
[02:44:23] >> SHAHRAM IZADI: I'm wearing one of the Warby Parker styles
[02:44:24] one of the Warby Parker styles and Nishtha has a pair of the
[02:44:25] and Nishtha has a pair of the Gentle Monster glasses on.
[02:44:27] Gentle Monster glasses on. Looking great, Nishtha.
[02:44:29] Looking great, Nishtha. >> NISHTHA BHATIA: Thanks, Ram,
[02:44:30] >> NISHTHA BHATIA: Thanks, Ram, you, too.
[02:44:32] you, too. >> SHAHRAM IZADI: A quick
[02:44:32] >> SHAHRAM IZADI: A quick preamble for the demo today.
[02:44:35] preamble for the demo today. We're going to be piping in the
[02:44:36] We're going to be piping in the audio to the stage speakers from
[02:44:37] audio to the stage speakers from our glasses, but in regular use,
[02:44:41] our glasses, but in regular use, of course, Gemini is going to
[02:44:42] of course, Gemini is going to just privately be talking to us.
[02:44:46] just privately be talking to us. Now, last time we were on stag
[02:44:50] Now, last time we were on stag We saw the rich Google Maps
[02:44:51] We saw the rich Google Maps experience on display glasses.
[02:44:53] experience on display glasses. Well Maps on these glasses are
[02:44:54] Well Maps on these glasses are just as helpful, especially when
[02:44:55] just as helpful, especially when working in combination with
[02:44:56] working in combination with Personal Intelligence.
[02:44:57] Personal Intelligence. >> NISHTHA BHATIA: No pulling
[02:45:01] >> NISHTHA BHATIA: No pulling out my phone. All I have to do
[02:45:05] out my phone. All I have to do Now is ask.
[02:45:09] Now is ask. Can you navigate me to that
[02:45:09] Can you navigate me to that place I met my friend Gianna at
[02:45:10] place I met my friend Gianna at last week?
[02:45:12] last week? >> GEMINI: Hey, Nishtha, I've
[02:45:13] >> GEMINI: Hey, Nishtha, I've set your route to the Redwood
[02:45:13] set your route to the Redwood Grove Natural Preserve from Last
[02:45:19] Grove Natural Preserve from Last Week's Hike, want to add a stop
[02:45:20] Week's Hike, want to add a stop on the way to grab your
[02:45:21] on the way to grab your afternoon cold brew?
[02:45:21] afternoon cold brew? >> NISHTHA BHATIA: Yes, Gemini I
[02:45:22] >> NISHTHA BHATIA: Yes, Gemini I Would Love That.
[02:45:23] Would Love That. >> GEMINI: Okay. I'm Starting
[02:45:24] >> GEMINI: Okay. I'm Starting Walking Navigation with a Stop
[02:45:24] Walking Navigation with a Stop at Koopa Cafe. Turn Around and
[02:45:25] at Koopa Cafe. Turn Around and Head Towards Bill Graham
[02:45:27] Head Towards Bill Graham Parkway.
[02:45:29] Parkway. >> SHAHRAM IZADI: With glasses,
[02:45:29] >> SHAHRAM IZADI: With glasses, you can allow Maps to further
[02:45:33] you can allow Maps to further understand your context, and
[02:45:34] understand your context, and what's in front of you so you
[02:45:35] what's in front of you so you get detailed directions like the
[02:45:37] get detailed directions like the coffee shop is coming up on your
[02:45:38] coffee shop is coming up on your right.
[02:45:39] right. Speaking of coffee, Nishtha, do
[02:45:40] Speaking of coffee, Nishtha, do you want to share how Gemini
[02:45:42] you want to share how Gemini intelligence can allow you to
[02:45:43] intelligence can allow you to order that cold brew up ahead?
[02:45:47] order that cold brew up ahead? >> NISHTHA BHATIA: That's a
[02:45:49] >> NISHTHA BHATIA: That's a really good idea. Gemini, can
[02:45:50] really good idea. Gemini, can you actually put my usual order
[02:45:52] you actually put my usual order in at that coffee shop we just
[02:45:53] in at that coffee shop we just talked about?
[02:45:57] talked about? >> GEMINI: Sure, I'll order you
[02:45:57] >> GEMINI: Sure, I'll order you a nitro cold brew for pickup
[02:45:58] a nitro cold brew for pickup from Koopa Cafe on Doordash.
[02:46:03] from Koopa Cafe on Doordash. >> SHAHRAM IZADI: On the screen
[02:46:04] >> SHAHRAM IZADI: On the screen behind me you can see Nishtha's
[02:46:06] behind me you can see Nishtha's phone in her pocket and Gemini
[02:46:07] phone in her pocket and Gemini is able to launch apps like
[02:46:12] is able to launch apps like Doordash and then click through
[02:46:12] Doordash and then click through all the different option screens
[02:46:18] all the different option screens automatically to order her
[02:46:18] automatically to order her coffee.
[02:46:19] coffee. And in a moment, it will be
[02:46:20] And in a moment, it will be ready for Nishtha's
[02:46:23] ready for Nishtha's confirmation.
[02:46:25] confirmation. There we go.
[02:46:27] There we go. [Applause]
[02:46:31] [Applause] There we go.
[02:46:35] There we go. >> GEMINI: I have prepared your
[02:46:37] >> GEMINI: I have prepared your order for the nitro cold brew
[02:46:39] order for the nitro cold brew from Koopa Cafe. Would you like
[02:46:40] from Koopa Cafe. Would you like to confirm?
[02:46:41] to confirm? >> NISHTHA BHATIA: Yes, please.
[02:46:43] >> NISHTHA BHATIA: Yes, please. And add a tip for 20%, too.
[02:46:47] And add a tip for 20%, too. >> SHAHRAM IZADI: I think after
[02:46:48] >> SHAHRAM IZADI: I think after all these rehearsals, that's her
[02:46:50] all these rehearsals, that's her 15th cold brew of the day and
[02:46:51] 15th cold brew of the day and thanks to the coffee shop for
[02:46:53] thanks to the coffee shop for putting up with us.
[02:46:55] putting up with us. >> NISHTHA BHATIA: Definitely,
[02:46:56] >> NISHTHA BHATIA: Definitely, is and speaking of preparation,
[02:46:57] is and speaking of preparation, I actually muted my texts before
[02:46:58] I actually muted my texts before I came on stage, but let me see
[02:47:00] I came on stage, but let me see if I can catch up now.
[02:47:02] if I can catch up now. Hey, Gemini, any important
[02:47:04] Hey, Gemini, any important messages I missed?
[02:47:08] messages I missed? >> GEMINI: Yes. Your family
[02:47:08] >> GEMINI: Yes. Your family group chat decided to meet for
[02:47:09] group chat decided to meet for dinner tonight at 7:00 and
[02:47:11] dinner tonight at 7:00 and there's a reminder to say your
[02:47:12] there's a reminder to say your daily affirmations. You are
[02:47:13] daily affirmations. You are strong --
[02:47:16] strong -- >> NISHTHA BHATIA: Okay. We'll
[02:47:17] >> NISHTHA BHATIA: Okay. We'll do the affirmations a bit later,
[02:47:19] do the affirmations a bit later, but why don't you add that
[02:47:20] but why don't you add that dinner to my calendar?
[02:47:24] dinner to my calendar? >> GEMINI: Sure I'll add an
[02:47:25] >> GEMINI: Sure I'll add an event for family dinner at
[02:47:26] event for family dinner at 7:00 p.m. to your calendar.
[02:47:26] 7:00 p.m. to your calendar. Right after your team
[02:47:27] Right after your team celebration.
[02:47:29] celebration. >> SHAHRAM IZADI: Awesome.
[02:47:30] >> SHAHRAM IZADI: Awesome. [Applause]
[02:47:32] [Applause] Thank you.
[02:47:35] Thank you. Gemini not only summarized her
[02:47:39] Gemini not only summarized her muted texts but it tapped into
[02:47:41] muted texts but it tapped into her Calendar app to add that
[02:47:41] her Calendar app to add that event.
[02:47:45] event. So we saw how glasses work with
[02:47:47] So we saw how glasses work with Your phone, but what about when
[02:47:48] Your phone, but what about when they attach to your watch to
[02:47:50] they attach to your watch to give you a glancable display?
[02:47:54] give you a glancable display? >> NISHTHA BHATIA: It's not a
[02:47:55] >> NISHTHA BHATIA: It's not a Google I/O without an audience
[02:47:55] Google I/O without an audience selfie, but we're going to do it
[02:47:56] selfie, but we're going to do it with a twist this time. Can
[02:47:56] with a twist this time. Can everyone strike their favorite
[02:47:58] everyone strike their favorite pose?
[02:48:00] pose? Gemini, take a photo of this
[02:48:01] Gemini, take a photo of this amazing audience but turn it
[02:48:03] amazing audience but turn it into a cartoon and add a big
[02:48:05] into a cartoon and add a big blimp in the sky that says
[02:48:06] blimp in the sky that says Google I/O 2026 on it in fun
[02:48:07] Google I/O 2026 on it in fun colors.
[02:48:10] colors. >> SHAHRAM IZADI: Everyone
[02:48:11] >> SHAHRAM IZADI: Everyone strike a pose.
[02:48:13] strike a pose. Okay. If this goes well,
[02:48:15] Okay. If this goes well, everyone go bananas in the
[02:48:19] everyone go bananas in the audience. Nano Banana on
[02:48:20] audience. Nano Banana on glasses is just awesome and just
[02:48:22] glasses is just awesome and just in a few seconds, you'll even
[02:48:24] in a few seconds, you'll even see that seamless preview on her
[02:48:28] see that seamless preview on her watch any second now, drum roll.
[02:48:31] watch any second now, drum roll. Here we go!
[02:48:33] Here we go! [Applause]
[02:48:43] [Applause] Thank you, Nishtha. Round of
[02:48:45] Thank you, Nishtha. Round of applause for Nishtha.
[02:48:46] applause for Nishtha. [Applause]
[02:48:49] [Applause] The demo worked, yes!
[02:48:53] The demo worked, yes! The future of Intelligent
[02:48:54] The future of Intelligent Eyewear has never been more
[02:48:56] Eyewear has never been more exciting. Stunning designs from
[02:48:59] exciting. Stunning designs from iconic brands, engineering and
[02:49:01] iconic brands, engineering and craftsmanship from Samsung,
[02:49:03] craftsmanship from Samsung, personal and proactive help from
[02:49:06] personal and proactive help from Gemini, customized apps and
[02:49:08] Gemini, customized apps and features from Google, and the
[02:49:13] features from Google, and the developer ecosystem, all
[02:49:16] developer ecosystem, all Arriving with our first glasses
[02:49:18] Arriving with our first glasses this fall. So stay tuned.
[02:49:20] this fall. So stay tuned. Now, I'm going to pass it to
[02:49:21] Now, I'm going to pass it to Demis.
[02:49:22] Demis. Thank you.
[02:49:23] Thank you. [Applause]
[02:49:27] [Applause] I'm going to pass it to Demis to
[02:49:28] I'm going to pass it to Demis to talk about the future of AI.
[02:49:29] talk about the future of AI. ♪
[02:49:30] ♪ ♪
[02:49:34] ♪ >> DEMIS HASSABIS: It's amazing
[02:49:36] >> DEMIS HASSABIS: It's amazing to see how far we've come with
[02:49:37] to see how far we've come with glasses, and I can't wait for
[02:49:39] glasses, and I can't wait for everyone to experience them.
[02:49:41] everyone to experience them. Today, we showed you our
[02:49:43] Today, we showed you our next-generation models, Gemini
[02:49:45] next-generation models, Gemini 3.5 and Omni, new coding
[02:49:48] 3.5 and Omni, new coding capabilities in Antigravity 2.0,
[02:49:49] capabilities in Antigravity 2.0, agents in Search and Gemini
[02:49:51] agents in Search and Gemini Spark, and so much more. It's
[02:49:55] Spark, and so much more. It's great to see Gemini transforming
[02:49:57] great to see Gemini transforming so many Google products used by
[02:50:00] so many Google products used by billions of people every day.
[02:50:02] billions of people every day. All of these advances show the
[02:50:03] All of these advances show the staggering pace of AI progress.
[02:50:04] staggering pace of AI progress. It's incredible, even for those
[02:50:06] It's incredible, even for those of us who have spent our entire
[02:50:08] of us who have spent our entire lives working on this. AGI is
[02:50:11] lives working on this. AGI is now on the horizon and it will
[02:50:12] now on the horizon and it will be the most profound and
[02:50:13] be the most profound and impactful technology ever
[02:50:15] impactful technology ever invented.
[02:50:19] invented. If built right, it could propel
[02:50:20] If built right, it could propel human progress and flourishing
[02:50:23] human progress and flourishing beyond our imagination. We're
[02:50:24] beyond our imagination. We're in a moment of immense promise,
[02:50:25] in a moment of immense promise, but also enormous
[02:50:27] but also enormous responsibility.
[02:50:28] responsibility. It's important that we are
[02:50:30] It's important that we are clear-eyed about the potential
[02:50:31] clear-eyed about the potential challenges and use all the tools
[02:50:35] challenges and use all the tools at our disposal to ensure the
[02:50:37] at our disposal to ensure the safety of our agentic systems
[02:50:39] safety of our agentic systems and ultimately, AGI itself.
[02:50:40] and ultimately, AGI itself. One area of risk that has gained
[02:50:42] One area of risk that has gained a lot of attention recently is
[02:50:43] a lot of attention recently is cybersecurity. Google has
[02:50:45] cybersecurity. Google has invested in this area for
[02:50:46] invested in this area for decades and we are bringing our
[02:50:47] decades and we are bringing our frontier capabilities and deep
[02:50:49] frontier capabilities and deep expertise to help secure the
[02:50:53] expertise to help secure the world's codebases.
[02:50:54] world's codebases. We have tools like our Code
[02:50:57] We have tools like our Code Security Agent, CodeMender,
[02:50:58] Security Agent, CodeMender, which automatically finds and
[02:50:59] which automatically finds and fixes critical software
[02:51:01] fixes critical software vulnerabilities. Today, we're
[02:51:05] vulnerabilities. Today, we're inviting a select group of
[02:51:05] inviting a select group of experts to test a new CodeMender
[02:51:06] experts to test a new CodeMender API, and we'll be launching it
[02:51:06] API, and we'll be launching it more broadly soon.
[02:51:11] more broadly soon. [Applause]
[02:51:18] [Applause] Stepping back, the whole reason
[02:51:18] Stepping back, the whole reason I've worked on AI my entire
[02:51:19] I've worked on AI my entire career was, because I saw it as
[02:51:20] career was, because I saw it as the ultimate tool to advance
[02:51:21] the ultimate tool to advance science and our understanding of
[02:51:23] science and our understanding of the world. It's awesome to see
[02:51:25] the world. It's awesome to see those dreams become a reality
[02:51:27] those dreams become a reality with AI beginning to help
[02:51:28] with AI beginning to help scientists in almost every
[02:51:30] scientists in almost every field.
[02:51:34] field. Building on this momentum, I'm
[02:51:35] Building on this momentum, I'm excited to announce Gemini for
[02:51:41] excited to announce Gemini for Science.
[02:51:42] Science. [Applause]
[02:51:45] [Applause] It brings together a number of
[02:51:46] It brings together a number of powerful AI tools to help
[02:51:48] powerful AI tools to help accelerate research.
[02:51:49] accelerate research. Gemini can already assist in
[02:51:51] Gemini can already assist in solving complex problems, but
[02:51:53] solving complex problems, but our new Labs prototypes
[02:51:54] our new Labs prototypes streamline daily scientific
[02:51:56] streamline daily scientific tasks, whether it's staying on
[02:52:00] tasks, whether it's staying on top of newly published papers,
[02:52:01] top of newly published papers, transforming research goals into
[02:52:02] transforming research goals into usable code or generating new
[02:52:05] usable code or generating new hypotheses.
[02:52:06] hypotheses. Another powerful tool for
[02:52:09] Another powerful tool for science is simulation. AI
[02:52:12] science is simulation. AI simulations are going to be
[02:52:14] simulations are going to be critical to understanding and
[02:52:16] critical to understanding and predicting dynamic systems that
[02:52:17] predicting dynamic systems that are simply too complex to model
[02:52:19] are simply too complex to model directly today. An amazing
[02:52:19] directly today. An amazing example of this is AlphaEarth
[02:52:22] example of this is AlphaEarth Foundations. It's the closest
[02:52:24] Foundations. It's the closest thing we have to a digital twin
[02:52:24] thing we have to a digital twin of the planet that could help
[02:52:25] of the planet that could help address problems like
[02:52:29] address problems like deforestation and food security.
[02:52:31] deforestation and food security. Simulations are already proving
[02:52:32] Simulations are already proving extremely useful. Our
[02:52:35] extremely useful. Our state-of-the-art WeatherNext
[02:52:35] state-of-the-art WeatherNext models can predict hurricane
[02:52:37] models can predict hurricane paths faster and more accurately
[02:52:39] paths faster and more accurately than traditional systems. Let's
[02:52:40] than traditional systems. Let's take a look at how weather
[02:52:48] take a look at how weather helped during last year's
[02:52:49] helped during last year's hurricane season.
[02:52:49] hurricane season. >> Tropical storms and
[02:52:50] >> Tropical storms and hurricanes can change very
[02:52:51] hurricanes can change very quickly, which makes them more
[02:52:51] quickly, which makes them more challenging to predict than
[02:52:52] challenging to predict than other types of weather systems.
[02:52:55] other types of weather systems. >> At Google, we developed
[02:52:58] >> At Google, we developed WeatherNext a global weather
[02:52:59] WeatherNext a global weather forecasting AI model that is
[02:52:59] forecasting AI model that is also able to predict where
[02:53:00] also able to predict where hurricanes are going to go and
[02:53:01] hurricanes are going to go and how strong they're going to
[02:53:02] how strong they're going to become. In 2025, WeatherNext
[02:53:04] become. In 2025, WeatherNext predicted a category 5 hurricane
[02:53:06] predicted a category 5 hurricane striking Jamaica three days
[02:53:07] striking Jamaica three days early with greater accuracy than
[02:53:08] early with greater accuracy than previous models.
[02:53:11] previous models. >> It's going to cause
[02:53:14] >> It's going to cause catastrophic, life-threatening
[02:53:15] catastrophic, life-threatening damage.
[02:53:21] damage. >> Because of that early
[02:53:23] >> Because of that early warning, we were able to give
[02:53:25] warning, we were able to give that advance notice to the
[02:53:29] that advance notice to the public to say, move from certain
[02:53:31] public to say, move from certain areas, so it saved their lives.
[02:53:32] areas, so it saved their lives. >> WeatherNext was a really
[02:53:33] >> WeatherNext was a really valuable tool in helping us make
[02:53:34] valuable tool in helping us make these more accurate and
[02:53:36] these more accurate and aggressive forecasts for
[02:53:38] aggressive forecasts for Melissa. And I think going
[02:53:39] Melissa. And I think going forward, WeatherNext and other
[02:53:43] forward, WeatherNext and other AI models will become a part of
[02:53:44] AI models will become a part of our routine forecast toolkit
[02:53:44] our routine forecast toolkit here at the Hurricane Center.
[02:53:46] here at the Hurricane Center. [Applause]
[02:53:54] [Applause] >> DEMIS HASSABIS: In the
[02:53:55] >> DEMIS HASSABIS: In the future, we will be able to
[02:53:55] future, we will be able to simulate even more complex
[02:53:59] simulate even more complex emergent systems, perhaps even
[02:53:59] emergent systems, perhaps even virtual cells. Our biological
[02:54:03] virtual cells. Our biological models, like AlphaFold and
[02:54:05] models, like AlphaFold and AlphaGenome, have already become
[02:54:05] AlphaGenome, have already become standard research tools used by
[02:54:06] standard research tools used by millions of scientists around
[02:54:08] millions of scientists around the world to make important
[02:54:11] the world to make important advances in their fields. I
[02:54:14] advances in their fields. I like to call this "science at
[02:54:19] like to call this "science at digital speeds," both in terms
[02:54:20] digital speeds," both in terms of the speed of the solution and
[02:54:21] of the speed of the solution and its dissemination to the
[02:54:21] its dissemination to the researchers who can make use of
[02:54:22] researchers who can make use of it.
[02:54:22] it. I've always believed the number
[02:54:26] I've always believed the number I've always believed the number
[02:54:27] I've always believed the number one application of AI should be
[02:54:28] one application of AI should be to improve human health. At
[02:54:29] to improve human health. At Isomorphic Labs, we're modeling
[02:54:30] Isomorphic Labs, we're modeling molecular interactions to
[02:54:32] molecular interactions to massively accelerate the
[02:54:33] massively accelerate the development of new medicines,
[02:54:35] development of new medicines, supported by leading industry
[02:54:37] supported by leading industry partners. We're now in the
[02:54:38] partners. We're now in the pre-clinical stage with multiple
[02:54:43] pre-clinical stage with multiple projects, including potential
[02:54:43] projects, including potential treatments for immune disorders
[02:54:49] treatments for immune disorders and cancer.
[02:54:50] and cancer. [Applause]
[02:54:53] [Applause] Our mission is to reimagine the
[02:54:55] Our mission is to reimagine the drug discovery process with the
[02:54:57] drug discovery process with the goal of one day solving all
[02:55:00] goal of one day solving all disease. Something that would
[02:55:01] disease. Something that would have seemed impossible just a
[02:55:03] have seemed impossible just a few years ago but I truly
[02:55:05] few years ago but I truly believe is now within reach.
[02:55:10] believe is now within reach. Google's cutting-edge research
[02:55:11] Google's cutting-edge research and products will help unlock
[02:55:12] and products will help unlock AGI's incredible potential for
[02:55:13] AGI's incredible potential for the benefit of the entire world.
[02:55:17] the benefit of the entire world. When we look back at this time,
[02:55:18] When we look back at this time, I think we will realize that we
[02:55:20] I think we will realize that we were standing in the foothills
[02:55:22] were standing in the foothills of the singularity.
[02:55:24] of the singularity. It will be a profound moment for
[02:55:33] It will be a profound moment for humanity. This technology will
[02:55:34] humanity. This technology will be a force multiplier for human
[02:55:34] be a force multiplier for human ingenuity and usher in a new
[02:55:36] ingenuity and usher in a new golden age of scientific
[02:55:37] golden age of scientific discovery and progress,
[02:55:38] discovery and progress, improving the lives of everyone,
[02:55:39] improving the lives of everyone, everywhere. We look forward to
[02:55:40] everywhere. We look forward to building the future with all of
[02:55:41] building the future with all of you. Thank you and enjoy the
[02:55:43] you. Thank you and enjoy the rest of Google I/O.
[02:55:44] rest of Google I/O. [Applause]
[02:55:47] [Applause] ♪
[02:55:47] ♪ ♪