Google's New Gemini Omni Is Too Much.

Added: 2026-05-20

[00:00:00]Google's Gemini Omni model has landed.

[00:00:02]It was unveiled at IO 2026 and it's got better editing, better generation, better everything? Sure, yeah. We've got hands-on experiences with Omni to share.

[00:00:13]Some astonishing hits and some surprising misses.

[00:00:17]Last year, I outlined our vision of extending Gemini's incredible multimodal capabilities to become a world model. AI that can understand and simulate the world. But the Google hits kept coming with all sorts of releases and well, teases of releases. Kind of forming a plan.

[00:00:34]>> Oh, a concept of a plan. Yes. An AI-powered Ask YouTube feature, which is going to streamline learning and discovering. That's on the way. Docs live will deliver a real-time writing assistant. And I guess [music] Well, I think they also announced something else that might have been kind of big. I Gemini 3.5 Flash, Kevin.

[00:00:52]That's right. A new model is here, but it is not Gemini 3.5 Pro. We will get into that. The latest lightweight foundational model is actually punching above its class and matching up with Opus 4.7 and GPT 5.5. And it's much, much faster.

[00:01:07]>> That's a lot of tokens.

[00:01:08]>> Plus, Gemini Spark is your always-on AI agent. It's vibe coding for you. It's vibe coding for your family. It's vibe coding for your life. But that's a lot of tokens. You You're okay over there?

[00:01:20]There's a ton of news to cover, including surprising news from Anthropic that might give them a major leg up in the overall race. This is AI for humans.

[00:01:28]>> Tokens. It's a That's a lot of tokens.

[00:01:30]>> Humans. It's AI for humans, everybody.

[00:01:32]I'm a human.

[00:01:38]Welcome, everybody, to AI for Humans, your twice-a-week guide to the wonderful world of AI. My name is Gavin Purcell.

[00:01:43]That is Kevin Pereira. And Kevin, we have big, big news today. Google dropped their IO I don't want to call it a bomb because it is a very exciting moment.

[00:01:50]So, they dropped their IO unicorn-like surprise on us, which is pretty exciting.

[00:01:56]>> That's delightful. Delightful. What they dropped mostly was a brand new model which we're going to get into Gemini 3.5 flash. But Kevin more exciting they dropped an update to their video model which they are now just calling Google Omni and this is based on the world model foundations that we have heard people say many times we've talked about in the show. It is more than just LLMs.

[00:02:18]This is a video model that allows you to do have better physics. It has reasoning but maybe more importantly you can edit really really well with it. So I have you taken a look at some of these videos so far?

[00:02:28]>> Definitely have seen the examples, watched the portion of the keynote where I mean like the the two long didn't read is this is nano banana for video which means something to a giant portion of our audience and sounds like complete gibberish >> [laughter] >> to another portion. Yeah, so we can get into that. But this is this is a world model that has understanding of physics and can do complex reasoning and can express itself in any medium. They're just sort of starting with video which is interesting here, right? So theoretically in the future this thing can ingest and output audio and text and video and maybe 3D worlds and all of those other things as well. But let's just get to the goods. Like is it any good?

[00:03:13]>> I've seen a lot of really interesting examples people have posted online.

[00:03:16]There was a great one from FFR who we often shout out here who actually showed how good it is at representing London.

[00:03:23]So there's a shot where you see the London skyline. But Wal Sadhu also had a situation where he was playing around with Genie 3 which is still only available to ultra members where he was able to use they've just updated it so that real world locations can you can run around real world locations. But more importantly so my experience with this so far has been good. I will say this we'll we'll drop this in but the there's a couple things that have been announced that are really important. One is it's better at generation than video 3 was first of all. We'll talk about that. The editing is a really big thing to talk about, but then also they have kind of dropped a new feature that's a lot like Sora's cameo, and I think that's the place where it may not be doing as well. But, Kev, I do want to first talk about just the rough generations I did. So, I want you to play this clip I made where I asked it to asked it to create a scientist who was explaining flatulence basically in a very reasonable way and to do it kind of in a very scientific way. So, what you'll also see though is that I edited over the course of this clip to change what the person saying it was and then what was happening in the background.

[00:04:23]So, let's play this whole thing and then we can talk about it.

[00:04:26]>> We all produce gas. It is a natural byproduct of digestion in your gut, but the truly foul smell comes from sulfur compounds. Blame the bacteria for that.

[00:04:36]So, I'll pause there for a second. Sorry to the audio-only kids, but you are seeing like gorgeous animated callouts and diagrams of a digestion system, uh gastrointestinal tract, hydrogen sulfide molecules popping up in the title card, which says, "Make the scientist a Viking who's just been through a battle and is forced to explain flatulence without warning."

[00:04:58]We all produce gas. It is a natural byproduct of digestion in your gut, but the truly foul smell comes from sulfur compounds. Blame the bacteria for that.

[00:05:08]So, I I want to explain again, if you're not watching this, what you're seeing here is a very well-rendered Viking with battle paint on basically saying the exact same lines cuz I just asked it to change the Viking. He's now in a Viking background, but there's still a a a monitor behind him where he's kind of describing some of the stuff. So, really, really remarkable video-to-video editing. And then, do you want to say what the next title says here?

[00:05:29]Yeah, it is put the Viking in a bee costume and have his Viking wife pop up on the screen behind him doing a TikTok dance, which It is a natural byproduct of digestion in your gut.

[00:05:39]>> Nailed it. But, the truly foul smell >> so in this video, what you're seeing is the bi- the bee costume is fantastic.

[00:05:46]The Viking is now in a bee costume and behind him on the video screen is his wife and again in a Viking setup and the wife is Viking doing a dance. And so, this is a really formative point for AI video because you and I both know trying to do edits within a system can sometimes be tricky. The other thing that was really interesting here now the audio we can talk a little bit about but the audio stayed consistent throughout.

[00:06:07]It didn't change, the voice didn't change which is a really really useful thing. I will say I pushed this a little bit further. I went five I went five generations deep. Play this last one and you'll just see how it kind of breaks a little bit.

[00:06:21]I'm always lurking.

[00:06:24]I'm always lurking. Smell you later, suckers.

[00:06:29]>> [laughter] >> So, so I want to describe what that was. My prompt was I wanted to have a cartoon animated like kind of fart cloud. I'm sorry about this everybody. Yes, I am 10 years old in my brain. Walk onto screen and say all those lines. Now, what it did is you'll if you're not watching this is it had the wife say with the first line and then kind of all three characters said the last three lines.

[00:06:50]So, it did break eventually but again, this is a remarkable step up just from that standpoint which is pretty cool.

[00:06:57]And you have to love that during the animate on the fart cloud is also farting its own little cloud. That's a nice little touch. Look, we kind of dove into some hyper specific examples here and again if you're audio only, you're missing out on the fact that the character consistency is there.

[00:07:12]>> Yes. Yes.

[00:07:13]>> when Gavin swapped from a scientist in a lab, he didn't say change the background to be thematic with the character. It made the decision. It edited the room to have torches on the wall. The flames from the torches are kind of accurately reflecting against the cobblestone of the wall.

[00:07:31]The little animated character has its own style. The face paint remains consistent. The beard styling, the braid in the hair, it it's keeping elements of that original video as you swap to the next one and now you're starting to get the kind of holodeck ramifications of this where you can start with a single source image or start with your own video, which is an important thing that they demoed as well that you can take source video and just tell it how you want it to transfer the style or give it a single start image and have it generate a whole storyboard for you and bring those to life. Yeah, so all of this is is within flow right now, and I think people who have been listening to the show for a while know our feelings on flow as a system. It's not that solid, but it is about 80 credits per generation, which is cheaper than VO3 and 3.1 worse, so that's good. This is Omni Flash right now, so we assume there's going to be an Omni Pro model.

[00:08:18]And then Kev, before we move on from this, I do want to talk about there is a version of this. They kind of launched a cameo feature like Sora has where you can upload your own face and your own video, and it does the same thing. You actually do the turn your head to the right and left, and you count the numbers down. I found this okay. If you watch this video, we'll play this video now of me. Maybe listen to a little bit of it. Take a listen to this. This is me.

[00:08:41]It's the Jevons paradox. Increases in efficiency, like this place, it never ends. NO, STAY AWAY from me.

[00:08:47]So that was me. If you sent me that audio sample, I would not say that is my BFF, GP.

[00:08:53]>> Yes. So it's a little funky of how it sounds. I think Sora did a better job of this, but just if you're if you're just listening, that was me explaining Jevons paradox and kind of getting sucked into a computer in kind of a backrooms world.

[00:09:03]It got the backrooms really well, so visually it's doing really well. I think that maybe feels a little half-baked, but I also will say I had a hard time getting that generated, so I know one of the tricky things with Google always is there are going to be really hardcore guardrails [snorts and clears throat] on this maybe versus what Sora was, especially in the beginning. So whether or not this takes off, I'm not sure. I do think this is a big deal for like education content or for explainers. One of the things I saw somebody do in Google did was like kind of explaining something in claymation, like a pretty complicated concept, and you could see a world where instead of doing a motion graphics pass on something, you could just say, "Hey, create me a graph that explains this and this." I would see that would be super useful and I think it would be capable of it.

[00:09:45]Yeah, look, this thing has sort of built-in styles that it it already works really well with. They're fairly proven.

[00:09:50]The explainer thing, not only not only can you swap like the the template for the video, um but swapping the style as well. So, claymation explainer to stop motion to uh comic book to whatever you want. Yeah. Those those examples seem to be the most impactful to me. Like the physics stuff is interesting, but I don't know if you saw the volleyball demo. The serve uh starts to go over the net and then uh just immediately flies back. Uh the character consistency goes out the window. Now, we know that these things are kind of like slot machines and you pull the reel and maybe this was just a particularly bad generation, but there are some broken physics and broken consistency. Uh I actually, before I jumped on here, I tried to generate a capybara, realistic capybara, doing a 900 out of a half-pipe and dropping in.

[00:10:36]And you'll notice in this video, it's very similar. It's a bad physics, which is funny because it doesn't seem to me like it gets us at all. Now, it's possible that there's some sort of thing in this where I kind of pushed the wrong button and I used the wrong model, but I don't think so. You can see if you're watching this, like you'll see it like it's not really doing a 900. Some of the physics are also a little wonky, so I think we'll have to play around and see where the physics actually work best.

[00:11:00]Yeah. Yeah, look, okay, but okay, let's let's take a step back from this. Like very cool thing, it's out now. It's maybe the smaller version of it, so in a few weeks time we get another bigger, probably more expensive, but maybe slightly more capable model. Gavin, what about um the potential for abuse here?

[00:11:15]Because if my mom sends me another dancing pug video thinking it's real or more bunnies on trampolines, like I am going to uninstall the internet.

[00:11:24]>> you solved, Kevin. They actually introduced yet another piece Yes, they introduced another piece of protective software called content credentials verification. This is adding on to their kind of like watermarking system. Google has been very, very hardcore about watermarking. In fact, one of the most frustrating things about both Nano Banana and Vio has been like there's always a watermark on the outputs and Chat GPT is playing a little looser with that in some ways. Um but I do think this new this new system is designed to be able to know whether or not only is your thing AI, but was it edited with AI? Because a lot of times something's edited with AI, it may not be carrying the same sort of thing. So this is a big deal for those people that are concerned about deep fakes or wanting to make sure you understand what is AI content and what isn't.

[00:12:06]I want to be excited for this. I really do, but I don't know if you've seen that that both the watermarks for Google's image gen and Chat GPT were exposed recently. Like you can see >> didn't know that. Wow, that's interesting. Yeah, they add these they add these subtle patterns that we can't detect in the final image, but they're pretty easy for a computer to pull out.

[00:12:24]And it's they each have their own texture, their own patterns. It kind of on its own if you generate like on a blank canvas, it looks like a magic eye sort of thing. But like they found those fingerprints already. So I hope this takes it to the next step. I'd love just very basic for every social media type network to automatically flag AI generated content the way they claim they do, but they really don't. Like that would be a nice step in the right direction. Yeah, I mean X is trying to do this in some form and we know they've had mixed results before, but I also think we've said this before in the show like you just got to not trust your eyes anymore. We're in a world where like >> Always. By default. If there if you see a capybara skateboarding, maybe that's fake. Let's just keep that in mind. Keep that part in mind, Kevin. Okay. What if What if I see like a raccoon riding a motorcycle through Google Maps or an elephant on a motorbike or an F1 car going through the Vegas streets?

[00:13:12]>> probably real. I me and my raccoon buddy race through the streets of Vegas all the time. So you might have just caught us doing that. But Kevin, I think you're referring to this thing we mentioned before, which is within Google Maps now you can generate Genie 3 outputs, which is a very, very cool thing.

[00:13:27]Yeah, Genie 3 is another one of their world models, but this is sort of a real-time interactive model. Think of it like a an AI gaming engine. And now you can, yeah, prompt whatever you want to be going around Street View. Like, I think that's cool. Look, some people will hear this and go, "I don't need this for my life or my business or my whatever else." And that's why I wanted to quickly shout out two things, which were just like tiny little nuggets, which may or may not come to light. They might be unceremoniously taken behind the Google farm. Oh, these are cool. I think these are interesting, for sure.

[00:13:57]>> Yeah, but Google has a barn. Like, Google has a barn and they bring all sorts of cool tech back there and they unalive it all the time.

[00:14:05]>> I bet Bard runs it back there running the barn.

[00:14:08]>> in the barn right now.

[00:14:09]>> [laughter] >> But, okay. First is Ask YouTube and one of the most useful things in the Google AI search for me lately is when I'm I'm searching something, how do I do this or what is common with that? It surfaces YouTube videos and suggests different chapters or or portions to jump into it. This is that, but really amped up. So, if you ask a question of Ask YouTube, it does what you think. It surfaces a bunch of YouTube videos, can make you a step-by-step kind of video carousel of start here, click here.

[00:14:39]Takes you right to that portion of the video and I just know that it's going to do nothing for our view count, but I'm very excited for it, Gav. I'm very excited to see if I can Google can what videos Bard failed at and we can make that the Bard failed behind the barn set up. I think it'll be very fun. It's a very cool idea. I do like I do like Ask YouTube. One thing, Kevin, I think that's really important for people to understand is there's a real movement right now where AI is absorbing the what used to be video search, right?

[00:15:07]And this was a way that a lot of people got views on their videos or on social videos because they would explain something like, you know, how do you replace, you know, a carburetor in a certain thing. This is also another thing that's that people have to be aware of. I just saw there's out on TikTok there's now an agent called Taco, t a k o, which allows you instead of it used to be when you click on the search button you would get a bunch of people's videos and it would explain it. Now there is an AI explainer that goes there which stops views from happening. So this is a little bit about that same thing about these AI companies kind of wrenching back traffic, which is an interesting thing as well, too, but probably more useful ultimately to the normal person.

[00:15:44]Right. Um by the way, killed by google.com you can see Firebase studio, uh dark web reports, Google Jamboard, uh rip, Chromecast, VPN by Google, Dropcam, etc. etc. So there's there's a lot going on behind the Bard Barn. Um I digress. Lastly, I want to quickly shout out um Docs Live.

[00:16:03]Very cool demo using real-time voice, which you and I have said we think will be pretty pretty uh prominent in the for future interfaces, but you can launch a live doc, narrate to it, and >> That sounds like a great That's a great phrase. That's a really good phrase, live docs. I like live docs. [laughter] Yeah.

[00:16:21]Sorry, I didn't mean to It's a quick interruption. We're talking about live docs, everybody. That's right. Keep going, Kevin.

[00:16:26]>> [laughter] >> Great. I've lost my mind. Lost my mind.

[00:16:29]I'm moving yet again with live docs.

[00:16:30]>> doc and you just start talking and it will dynamically generate a document of whatever it is you're saying, but then the next step is you can say, "Hey, go grab that PDF that's in my email and uh make a table of what information is needed and then format it in this way for me. Give me like slides that I can go through and then um craft craft it in this voice and whatever and it will because it's connected to your Google Drive or Google Doc ecosystem, it can pull from all those threads to generate that document live on your phone or in the cloud.

[00:17:01]>> Live docs.

[00:17:03]We have We have a huge new flagship model we have to talk about, too, but first, Kevin, we have to tell everybody out there, if you want to know more about these flagship models, if you want to know more about Google Omni, you got to click that little subscribe button right down below here. You got to click subscribe. You got to like. Thank you everybody for hyping last week's video. It did very well and we do appreciate that. It kind of grew over the course of the week, which is a very nice thing to see. We have a Patreon, we have a newsletter, all that stuff. It's all the ways you can get the two of us into your face. If you're not getting us enough, please like and subscribe now, y'all. Mhm. And if you got us into any other parts of your bodies, you might need to visit a live doc.

[00:17:39]Y'all, live doc, live doc. All right, Kevin, let us let us let us jump into the big other news today, which was Gemini 3.5 Flash. Now, this is a foundational model. It's an update to their foundational model, but it is not a flagship model. I think the important thing for everybody to know, which it was kind of surprising to me, is that like Google 3.5 Pro is coming in a few months, which feels like a miss for Google a little bit, but we can talk about what 3.5 Flash is and why it's different and maybe why Google is not racing against Anthropic and opening eye to try to kind of push the frontier forward. But Kev, what was your first take when you heard the news about 3.5 Flash?

[00:18:17]Uh look, I you know, I was not Some people seem to be disappointed by it not being this G Wiz foundational something.

[00:18:24]Look, if we want to get into the benchmarks, and I know the boys want to come off >> [music] >> Those benchmark boys want to come off those bleachers. Like, the numbers are good. The numbers are great for a flash model, assuming a pro version is on the horizon. Like, it's it's it's benchmarking just fine for agentic tool calling, for solving visual puzzles in the Arc Challenge, um for computer use.

[00:18:54]But to me, the real unlock was the speed. The fact that this thing in certain benchmarks is going four times faster than those other models means, even if it's not like the peak peak peak performance, I will want to run this as the daily driver and run it with all of my parallel agents so that they can have swarms of these capable models delivering results far faster than the other models. I I'm super impressed by it. I wish it was a little cheaper, but it's still amazing. Yeah, you know, one of the things that's so interesting right now, we've talked about like the different levels that AI is going to improve and one of the biggest levels is going to be price and speed, right?

[00:19:28]Because even last night I was I'm working on a project for a friend of mine and I get very frustrated even using 5.5 fast with the with high and codex where I'm waiting for the thing to come back and forth. Again, we have said this a bajillion times, but like it does stop you if the speed is slow and we know that Google has this kind of giant fleet of TPUs, their tensor processing unit, which is their very specific AI processing hardware and I hope that that is a place that Google can deploy. One of the things I always think is so weird Kevin about cost with Google is this is a company that is literally one of the richest in the world and yes, they're spending a ton of money on building out AI, but you would think that they could actually almost like buy their way into this into a lead if they cut the cost way down. Like it feels like they're one of the only companies that could say like, hey, cost don't matter that that much to us. Let's onboard a bunch of people, but overall, I still think this is a big step. I I do think it's a weird thing that they waited for 3.5 Pro and maybe this is some sort of mythos-like thing. May they didn't say that. They didn't say that it was too capable, but maybe they're in that world now where they're worried that if they launch something that's the strongest version that it's going to break something in the world because mythos continues to kind of like open doors for people. There was a story this week that people who had mythos were now sharing it with other people to make sure that they could solve all the problems they have. So, maybe we're in that weird in between mode where everybody's just taking a breath and for a second to before they release the next big thing.

[00:20:52]Yeah, I think they also probably wanted to do more than just kind of release it as a now you can go use it on studio.ai.lab.google.slashflow forward slash ultra.

[00:21:03]>> They got a new logo.

[00:21:05]But I think like look, they're plugging it into Gemini Spark, for example, which we can we can talk about. It's available in anti-gravity. There it's not just releasing the model, it's making sure that there is harnesses and tooling available to take advantage of that.

[00:21:18]Gemini Spark really quickly, we we talked about it actually last week when it was kind of a little baby rumor, but here it is. Um it is a it is an agent that runs for you in the Google Cloud.

[00:21:30]So, they made a big deal out of the fact that you can >> Laptop close. Laptop close.

[00:21:33]>> [laughter] >> Exactly.

[00:21:34]>> the same project and the same things with your phone. And I know sometimes people might like kind of gloss over um just because our presentation is lackluster, but also because they're like, "Hey, I don't code. I'm not interested in that." What I thought was really nice was that they showed off and and you can do some of these things in co-work, but I don't want to like hedge too soon. They showed examples of people vibe coding their life, essentially, using these agents running in the cloud that are connected to their calendar, their drive, their email, and giving it tasks. Hey, go research this thing and give me five great answers in a draft email so I can send it to somebody else. Like, it's not just about building a website or a vibe coding a game or whatever. It's about having these agents do your bidding and assist you in your real-world tasks. And that is the big thing we're all waiting for, right? I think I'm waiting for. I mean, you and I spent a lot of time doing agentic websites or agentic projects or all sorts of stuff, but like the real win here is to tell something to go out and do something and then not have to worry about it again, right?

[00:22:42]Like, if you could book a res- I know everybody's used restaurants as a good example of like how these things work, but most of the time they're not doing everything. And most of the time like if I could set up a system where I could just say to my thing, "Hey, my wife and I want to go to a new restaurant. Make sure it's whatever, blah blah blah." Up until now that has been a pretty big fail, and if they can actually find a way that that works using these different ages to kind of talk to each other. That's great. I I think we are going to have to see what that pathway looks like and how it comes to the consumer, but Google might be best served to do it. So some real-world like anecdotal benchmarking by the way Gav using Claude Google and chat GPT a test that I've been using a lot because I'm away. I'm in a foreign country and I want to say like hey, I'm in insert area here. I want to go eat at some sort of place. Go find me the like the top three places. I want you to use Tripadvisor Reddit blogs Google reviews Yelp reviews everything at your disposal. Go go list the top three take their menus and translate them for me. And segment it out by like vegetarian fish meat or whatever and it by the way like they're shockingly capable now. They can go off and do this just within the chat GPT app just within the Claude app.

[00:23:54]More often than not Claude will say that it can do something spend a long time downloading something and then not do it and then not do it and then not do it.

[00:24:02]Chat GPT though has hallucinated full menus for me based off of the most these are the biggest the best using. Yeah.

[00:24:09]Yeah, exactly. So so like there it's hit or miss but when it works it does feel magical and the the also ran sort of shout out cuz I don't use Gemini as a daily driver but Google Maps with the new Gemini feature in it surprisingly capable when you say like hey find me a restaurant that is this that the other but I said the other day plan me a walking path that would let me see X Y and Z or find me a good place to jog or whatever and it did it. It sourced reviews and it put it on the map for me directly within the Google Maps app. So like I know a bit of a tangent but like real-world usage that I was happy with. I wish it were on my face though Gavin. Well to wrap up the big thing with Google AI there are now new fancy AI glasses that are on the way and they kind of didn't make as big a deal about this but like I mean AI glasses are something that Google has talked about. They were partnering. Obviously, we have Meta's glasses that they have announced. There is a push towards this thing, and I don't know if we know for sure that people will use this, but once all this AI gets really good, they will hopefully be on your face in a cool way.

[00:25:11]And you mentioned that idea of if the agent's going to go and tell you where to get and where to go, maybe you look over at one side and you see somebody sitting in a restaurant, you're like, "Wow, what's that person eating?" You look and it kind of tells you what the food is, and then it can also tell you what the person is very mad at you because You have prompted, it'll say, "Open mouth." So, you have to go and physically [laughter] grab their mouth and look in with the glasses. Yeah, it has chomp detection. It's going to look and then tell you exactly what they're eating. There is so much stuff coming out of this. There's also weirdly Kevin you had just mentioned before we jumped on, there's a rumor that GPT 5.6 is going to drop a surprise on Wednesday or Thursday because of some sort of like oh >> Yes.

[00:25:47]Yes.

[00:25:47]>> Yes, and we didn't even talk about the new like Google search because the search box is changing. Plus agentic shopping, plus everything else, but There's so much stuff happening. We will have more on the next show. I do we do have one big piece of news that is a very insider baseball news, but if you've been listening to this show for a while, this is a big deal, and this gets to more of the frontier models. Andrej Karpathy, who Kevin and I both believe is one of the best educators on AI, formerly worked at Tesla, was an OpenAI employee very early on, has agreed to join Anthropic. And if you're still listening to this podcast, you probably know what that means, but just in case Andrej Karpathy is kind of seen as one of the best AI researchers. And what's very cool about this Kevin is that he's joining Anthropic, and there is a rumor out there that in fact he even kind of says it in his blog post or his his Twitter post that he's going to be working on recursive self-learning. If you remember a couple months ago we covered a very nerdy story where Karpathy was working on very small models and came out something called auto research, which was this idea that, you know, you could help the model learn itself. Karpathy going to Anthropic is like for the AI world, for the insiders of the AI world, is like a giant thunderbolt that comes and shakes everything up because it's it's hard to imagine one person Yeah, one person makes a big difference, but he does.

[00:26:58]Yeah, it's it's big signal. He is the Bob Ross of AI as I like to say. Bob Ross but also Einstein, right? He's like Einstein Ross. That's how that's a visual that you'd like to have in Google Omni.

[00:27:09]>> And let's generate it with Omni right now and there we go and [laughter] it's done. We are nerds.

[00:27:15]There we go. Anyway, it's a very big deal. We're going to be tracking that cuz he just dropped it this morning, but I do think when you think about the foundational models, Kevin, in this Google announcement today, it does start to feel like OpenAI and Anthropic are the ones that are really pushing hard.

[00:27:30]We have yet to see a couple other places drop, but remember how we talked a while ago how like C Dance and VO seemed to kind of taking the lead in AI video, it's starting to feel like that might be happening on the LLM side as well.

[00:27:44]Tough time to quit AI, Gavin, but I had a good run. I'll see you.

[00:27:48]>> He did? Yeah, okay. Bye-bye. See you later. We'll see you guys all We'll see you all on Friday. Thanks for tuning in.

[00:27:53]There's a lot more stuff coming.

[00:27:54]Bye-bye, everybody.

[00:27:56]>> [music]