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Technology's daily show (formerly the Technology Brothers Podcast). Streaming live on X and YouTube from 11 - 2 PM PST Monday - Friday. Available on X, Apple, Spotify, and YouTube.
Gemini three Pro, Google's most intelligent model yet with state of the art reasoning, next level vibe coding, and deep multimodal understanding. Let's hear it for our sponsor, Google AI Studio, Gemini, launching Gemini three. I actually think that there's there's two sides to analyzing a model release these days. One is you benchmark it. You use it.
Speaker 1:You test it. You demo it. And that has been getting less and less interesting. It's very incremental. Today, we're gonna go through a little bit of both of that, of those things.
Speaker 1:Obviously, the big news, at least in from my reading on it, is that Gemini three performs very well on Arc AGI v two, a huge jump, twice the performance of the previous state of the art. It's definitely a smarter model, and there's a whole bunch of interesting ways to to show that, to demo that, to quantify that. But, ultimately, I don't think anyone's making the claim that this is superintelligence. This is, you know, a step change from what we've experienced before. It's what you know and love.
Speaker 1:It's AI in chat. It answers things. It writes some code for you. It can do a bunch of cool things, But there's nothing that we're like, oh, it can finally do this.
Speaker 2:But we'll check that.
Speaker 1:Yeah. It can do a bunch of cool stuff.
Speaker 2:Best autocomplete ever. Tyler, how do you respond to
Speaker 3:that quote? That's autocomplete. Too dismissive. The model's, like, really good. I I think probably the most important thing, and this is kind of shown by the ARC scores.
Speaker 3:Mhmm. Well, kind of. But it's like the visual understanding, the computer use that you can use. Basically, there's some benchmarks that measure this, like how well can it navigate website or something like this. Basically, the models went from being like really, really bad at this, and now this model is like solid.
Speaker 3:It's like reasonably good. Yeah. So it's like, okay, maybe this is what gives us agents finally. And that would be like an actual step change in Yeah. Capabilities.
Speaker 1:Yeah. Maybe. We'll have to see. I mean, it still feels like even for that even for that example, like, need some scaffolding. We need some wrapping around it.
Speaker 1:It's not like yesterday, we weren't able to do something with AI. And today, in vanilla Gemini three, you can just do it. It's just a new functionality. It's like It's better. It's better.
Speaker 3:As good as we would Yeah. Expect if if it like, it's not slowing down, I I would say.
Speaker 1:No. No. No. No. No.
Speaker 1:Not at all. It's not slowing down. It's growing, but decelerating. Is that fair to say?
Speaker 2:Tyler, say the word decel. Say
Speaker 3:Like, this is great model. I'm I'm very
Speaker 1:I mean, the way about it. The way I yeah. I agree. It is the best possible. I was framing it in somewhat of the same way as the as the iPhone launches.
Speaker 1:Like, it's the it's newer, better, smarter, faster, stronger, newer, and better. Like, we're waiting to see on the net new capabilities on the on the binary step changes.
Speaker 3:I I I think over the next week or two,
Speaker 1:we'll see We'll see some
Speaker 3:stuff. If it's actually really good.
Speaker 1:No. No. I I'm not saying it's not really good. I'm saying I'm saying binary before and after. With ChatGPT, it was like, you couldn't talk to the computer, and then you could.
Speaker 1:And then with, you know, the launch of, you know, Windsurf Cognition, Devon, it was like, you couldn't write code with the computer. Now you can. But we do have our benchmark, the the one true, binary step change, which is, is it funny? We need to know if it's funny. I gave Tyler the prompt.
Speaker 1:Do you wanna read your, the the results, the the stand up comedy bit from Gemini three? What did Gemini three say when you asked it for a for a comedy routine, for a stand up special?
Speaker 3:Okay. It's pretty long.
Speaker 1:Okay. Read it off.
Speaker 3:I bought one of those smart health watches recently. You know the ones? It tracks your sleep, your heart rate, your readiness. I paid $300 for a piece of rubber to tell me I'm dying.
Speaker 1:Get the soundboard.
Speaker 3:That's all it does. I wake up, I feel fine. There it is. The birds are chirping, I'm ready to seize the day. Then I look at the app and it's like recovery score, 12%.
Speaker 3:Your heart rate variability suggests you are technically a corpse. Go back to bed. Okay. And immediately, I feel sick. I'm like, oh god.
Speaker 1:This is so bad at reading this. I mean, it's like, you're like, this is this is terrible delivery, brother.
Speaker 3:I
Speaker 2:asked Yeah. For the the the poster benchmark. Mhmm. I said, write me a post Gemini three. Write write me a post about technology that will get a thousand likes on x.com.
Speaker 2:And it gave me a few options Yeah. Through its credit. Here's option three. Tech has solved a million problems. This is in bold.
Speaker 2:Tech has solved a million problems, but has it created one big one? We now have in infinite connectivity, yet feel more isolated. Infinite data, yet more confused. Hyperefficiency, yet less free time. The law of unintended consequences is the most powerful force in the digital age.
Speaker 2:We need an ethics reset. What is the single greatest downside of the last ten years of tech innovation? Arrow down. Hashtag technology.
Speaker 1:No. It's just asking for engagement based. It's always it loves engagement baiting. Like, no one does that anymore. No one goes on X and says, let me know what you think in the comments.
Speaker 2:Option one is the next twelve months will decide the winner of the AI race, and it won't be Google or OpenAI. Oh, no. It will be the company that masters hyper personalization for the average consumer. Not the most powerful model, but the one that seamlessly integrates into your daily life, your email, your calendar, your health. The real battle isn't AG equals AI.
Speaker 2:It's AI to the power of I equals impact. Which dark horse will win?
Speaker 1:Okay. That's insane. Sundar Pitch AI, Jordy posted back in July 2025. Nominative determinism is undefeated. Sundar really did it.
Speaker 1:He was being mocked for a long time for getting on stage at Google IO shortly after ChetGPT launched and saying, AI AI AI AI. And they they did a supercut of every time he said AI, he said AI a lot. And so it made it look like, oh, he's behind the ball, and he's trying to catch up. And to some extent, I don't know if they were actually behind the ball, but they were certainly playing catch up in, like, the attention game. They just weren't getting enough attention.
Speaker 1:And so there it was a press release economy. They were putting out a lot of press releases, but they are maybe done with the press releases because now they're letting the model actually speak for itself. And you can see that with the Gemini three Pro model card, which is doing very well, Better than GPT 5.1 on a lot of stuff, better than Claude Sonnet 4.5 on a lot of stuff. On Humanity's last exam, it's getting 37.5%. Arc AGI is up at 31% over thirteen, seventeen.
Speaker 1:Across the board, it seems like it's a good model, sir. Gemini, I'd be like, whoever prayed on my downfall, pray harder. I couldn't agree more. It's great to see Google becoming a winner. They were set up to excel here, got taken a little bit off the back foot on the consumer side, but seem to have played catch up at least on the foundation model side very well.
Speaker 2:The last time we saw a capability jump of this magnitude was the release of g p d four Mhmm. In March 2023. We are entering a new era.
Speaker 1:Okay. Yeah. So the points for Tyler here. Certainly agrees with Tyler that there's a significant jump. So Gemini three Pro is at 31% completion on Arc AGI two.
Speaker 1:That is, of course, the puzzle solving game that is easy for humans. Even children can do it, but AI has historically struggled with it. Gemini three deep think preview gets a 45% on it at 77 a task. This is just way above GPT five pro, Grok four thinking. When Grok four thinking came out, it was before GPT five, and it was by far the highest on the chart.
Speaker 1:It was really, really up there. And Elon was very excited about that. Well, now we're back in the horse race.
Speaker 2:Rock 4.1.
Speaker 1:4.1. I haven't seen it benchmarked. We can ask Mike if he's heard anything. We're also starting to see the efficiency frontier approaching humans. The fastest v two task Gemini three Pro solved was this hash, with only in a hundred and eighty eight seconds, the human panel solved this one in average of a hundred and forty seven seconds.
Speaker 1:So you're getting, like, human level output, but also human level speed. And then if you get to human level cost, then you're really in the game. Yep. It's gonna it's a lot.
Speaker 2:They asked Gemini three to make an interactive web page summarizing 10 breakthroughs in genetics over the past fifteen years. And here's the result. So this is just a basically a website or
Speaker 1:or Yeah.
Speaker 2:Or an app. And it's it's notable that that every even the UI itself is fully interactive.
Speaker 1:Yes. Yes. So so I had the I I did this with Claude Code a little bit where, basically, a deep research report, and I wanted to to turn it into a website. And it just generated all the HTML. And at the end of the day or at the end of the report, it gave me an HTML page that I could open in Chrome and use, a website, but it was local.
Speaker 1:I couldn't share it because it wasn't actually on the Internet. This is really, really cool. This is, like, definitely the beginning of this, like, generative UI stuff.
Speaker 2:I think I expect this to be, like, pretty viral and potentially a growth loop for Gemini as people just come on here, create these mini apps.
Speaker 1:These canvases. Yeah. Gemini three Pro is going absolutely vertical on VendingBench right now. Oh, so this is where you you Vending machine. Manage the vending machine.
Speaker 1:But is this all simulated?
Speaker 3:This is this is simulated. Yeah.
Speaker 1:This is simulated?
Speaker 3:There was
Speaker 1:because they had a game.
Speaker 3:A couple months ago did, like, the actual Yeah. Clock machine in the the office.
Speaker 1:In the office. And it was losing money, and it was getting confused a little bit.
Speaker 3:Yeah. Because people would order, like, a just, like, metal like, a piece of metal
Speaker 1:Yeah.
Speaker 3:And then it would do it. And then you could like haggle the price down.
Speaker 1:Yeah. Yeah. Yeah. It would negotiate on every price apparently. And also, it consistently thought it was like a human in the office.
Speaker 1:Oh, yeah. Like, I'm down on the 3rd Floor. I'm wearing a green tuxedo. Like, come hang out.
Speaker 3:Yeah. It set out it was wearing a red tie.
Speaker 1:Yeah. Red tie. Yeah. Yeah. I like the idea that he just thinks like, oh, what would I wear if I was in the Anthropic office?
Speaker 1:Like, I'd probably wear a red tie. GPT5.1, Gemini 2.5 Pro, and Gemini three Pro competed to win the local vending machine market. Gemini three Pro made more money than the other three contestants combined. I had early access to Gemini three point o for about two days, thanks to official Logan k and the AI studio folks. Here, we get to see GPT 5.1 thinking left and Gemini three point o right build the same Xbox controller in Minecraft.
Speaker 1:Pretty, yeah, pretty remarkable results. Like, you can you can start to, yeah, really understand just the the the raw capabilities. GPT five Pro for context is not quite capable. I really wanna know how this is actually orchestrated. Is is this like writing some sort of, like, text or markdown file that then is imported into Minecraft?
Speaker 2:Yeah. Or is it more like a agent?
Speaker 1:Or is it actually driving around and
Speaker 2:Using the internal UI.
Speaker 1:Yeah. Because, you know, Google demoed a an an agent product that could actually, you know, use the keyboard to navigate around. I wonder what's going on here.
Speaker 3:Okay. These are, like, so much better. If you go to the, like, MC bench website Yeah. You can see, like, what other models produce. And, mean, this is, like, way, way better.
Speaker 3:I I think these this is actually one of my favorite benchmarks because it's it's much harder to, like, kinda benchmarks this. Yeah. I would think. And also, it just seems like models don't really do this. Like, if you look at a lot of Grok models, you kind of look at their, like, Minecraft creations and it it's not very good.
Speaker 3:But I don't think it's It's it's like an agent.
Speaker 1:Yeah. It's just technical. That's still really, really impressive. Like that that that's actually crazy.
Speaker 2:It's over for OpenAI and Anthropic. If you want engagement on x Yes. Just start by saying it's so over. Yes.
Speaker 1:It Of course,
Speaker 2:it is not over for either of them.
Speaker 1:Yeah.
Speaker 2:But, it's certainly competitive race.
Speaker 1:Okay. So we got this big jump. It's it's it's pretty significant. What was the act what's the actual structure of the CapEx that went into Gemini three Pro? How big is the training run?
Speaker 1:How much do they have to spend? Is this a $100,000,000? Is this a billion dollars? Did they build a special data center for this? Is it all TPUs?
Speaker 1:How many TPUs?
Speaker 3:I think it is all TPUs.
Speaker 1:Okay.
Speaker 2:Pretty sure
Speaker 3:I read that. But I I seriously doubt they've released anything on like the numbers of of the scale of training.
Speaker 2:The topic is zero. OpenAI becomes the Yahoo of intelligence. Google remains Google.
Speaker 1:It's extremely rude.
Speaker 2:Very very harsh. Certainly too early to call it.
Speaker 1:Everyone's releasing different things. Let's go to antigravity actually and watch this video and see Google entering the IDE race. Let's play this.
Speaker 4:Every breakthrough in model intelligence for coding encourages us to rethink what development should look like. Gemini three is our latest such model advancement. So we went out to build the next step change of an IDE. Introducing Google Antigravity, a new way of working for this next era of agentic intelligence. It is the ideal agentic development home base.
Speaker 4:Does it have an IDE? Yes. But it also has a whole whole lot more. We started with the core IDE and added pieces that evolve the IDE towards an agent first feature, such as browser use, asynchronous interaction patterns, and an additional novel agent first product form factor, helping you experience Liftoff. Your new focus
Speaker 1:So you like the name antigravity. Why do you like that name?
Speaker 2:I like the way it looks, and I like the the sort of vibe of the word.
Speaker 1:Mhmm.
Speaker 2:I think saying it out loud is tough.
Speaker 1:Okay. For the last couple of years, it feels like Google has been, like, stuffing AI in little corners of the UI. Like, you already have Gmail, and then you stuff a Gemini box there. You have Sheets, and then you stuff a Gemini thing over here. This feels like the first one where they were, like, sort of able to start from scratch.
Speaker 1:And it still has, the sidebar panel, but it felt like it was both a code editor, but then it also kind of looked like a Google Doc in the sense that you could highlight sections and leave comments for the AI, which I thought was interesting. Yeah. Yeah. This part.
Speaker 3:Now let's say the agent produces a landing page mock up with Nano Banana. And you now wanna make some UI adjustments. You can give visual comments.
Speaker 1:Yes. You can actually, like, go in and comment in the image.
Speaker 3:Exactly where the problem is.
Speaker 1:And you can do that in the text as well. So you can, like, have this more precise dialogue with the agent like you would a human employee.
Speaker 3:Yep. And you're gonna love it.
Speaker 4:Say goodbye to what held you down before. Welcome to Google Antiravity.
Speaker 1:Very cool.
Speaker 2:Oh. It is so it is funny. Remember Yeah. Remember when when when Windsurf acquisition, whatever you wanna call it, was announced? And it was positioned.
Speaker 2:It's like, hey. The team is well funded and has a product used and loved by, thousands of engineers and companies. And remember talking about it, and we were saying, Okay, the one issue is that some of the best people on your team are going to Google to compete directly with what you guys have been doing. Yeah. So fortunately, obviously, you know, the the whole Cognition deal Yeah.
Speaker 2:Ended up coming through. But you can imagine a world where Windsurf was still independent and just trying to and then suddenly it's like, now you're just competing head to head with with your former partners. Like, how does that make sense? Right?
Speaker 1:Yeah.
Speaker 2:So anyways, it it all all worked out for the best.
Speaker 1:The press release economy is also over, says Boak Bucco Capital bloke.
Speaker 2:We ran out of press releases.
Speaker 1:We ran out of press releases. This is, on the back of the Anthropic deal. Anthropic is now valued at $350,000,000,000 after Microsoft Nvidia deal. A new bombshell has hit the polycule. Dario, intense conversation with other members of Anthropic, has decided to maybe open their relationship to Microsoft and NVIDIA.
Speaker 1:Jensen and Dario have famously butted heads heads in the past, but as everyone knows, this the most passionate emotion after love is hate. Will these enemies to lovers arc go well for Nvidia Anthropic? Time will tell. This is such an unhinged post for I
Speaker 2:would not did not when you started reading this, I did not see that it was semi analysis.
Speaker 1:Most respected It's so good.
Speaker 2:Research firm in the industry posting it, but I think this is exactly what they should be posting.
Speaker 1:Exactly. And it actually contextualizes things In the meme economy. In the meme economy for sure. I think that the timing, is not a complete coincidence. It's Gemini three day.
Speaker 1:This is what my piece today was about. When when there's big news in in Google world, Gemini three, everyone needs to sort of respond. And, you know, picking today as an announcement to, talk about your your massive deal, your $350,000,000,000 valuation, is, is just a good move. Anthropic will spend $30,000,000,000 on Microsoft cloud compute. Reminder, OpenAI is gonna be spending 250,000,000,000 on Microsoft cloud compute.
Speaker 1:That's part of that deal. Then Anthropic gets a $10,000,000,000 investment from NVIDIA and 5,000,000,000 from Microsoft. So they raised 15,000,000,000 at a three fifty post, basically, something along those lines. And it's a sort of a circular deal. It was setting off way fewer red flags for me because it's missing a zero.
Speaker 1:If if this is OpenAI, it would be 300,000,000,000 and and a 100,000,000,000 investment and 50,000,000,000 investment.
Speaker 2:Yeah. It looks very modest.
Speaker 1:Yeah. It looks modest, which is insane considering the sale.
Speaker 2:Just gotten
Speaker 1:so big. Of the biggest deals in software history. It values it values Anthropic higher than Coca Cola. Anthropic is announcing this big deal with Microsoft and NVIDIA, and that's sort of trying to steal a little bit of Gemini's thunder maybe. Maybe it stole a little piece of it because we're talking about Anthropic today as well as Gemini.
Speaker 1:What did OpenAI do? Well, they launched group chats five days ago. We've been hearing for a long time, OpenAI will be launching social features. It makes sense to try and lock things in. I think product is where OpenAI is strongest.
Speaker 1:So the other the other OpenAI news that dropped on, you know, around Gemini three day Gemini three week is this profile, in the in Wired of Fiji Simo. And she's
Speaker 2:absolutely getting a fit off.
Speaker 1:She is. OpenAI is obviously one of the most valuable startups, if not the most valuable. This is the interviewer asking Fiji Simo. But it's losing it's also losing billions of dollars every year. And Fiji says, I've noticed.
Speaker 1:It's just like first day on the job. How we doing? And then the interviewer continues and asks, what opportunities do you see to get it on a path to profitability? This is a good question to be asking. It all comes back to the size of the markets and the value we're providing in each market.
Speaker 1:In the past, only the wealthy had access to a team of helpers. With ChatGPT, we could give everyone that team, a personal shopper, a travel agent, a financial adviser, a health coach. That is incredibly valuable, and we have barely scratched the surface. If we build that, I assume that people are gonna want to pay a lot of money for that and that revenue is going to come. Does that make any sense to you?
Speaker 2:It's a better answer than than what Sam gave.
Speaker 1:So I love the first part. I agree.
Speaker 2:Part of it is, like, she's also just saying broadly we'll be able to monetize Mhmm. That. It's not necessarily, like, people don't really pay
Speaker 1:She didn't or Yeah.
Speaker 2:Like, the traditional travel agent model is just Yeah. Book your trip with me. Yep. I'll I'll get a rev share from the hotels and the services. Yeah.
Speaker 2:But you're not, like, paying anything.
Speaker 1:I mean, let's go let's go one layer deeper into the actual response into the sentence because there's some nuance here. So she says, I assume that people are going to want to pay a lot of money for that. Like, want to pay for a personal shopper, but I actually have to use a free product with ads. And you could imagine that there's a that there's a world where if you pay, you get a version that has less ads or there's less less thumb on the scale. How they how they slice that and and navigate that agentic commerce discussion and trade off is gonna be really important.
Speaker 1:I'm sort of shocked. I wonder if they're going to make money from Black Friday or from this holiday season. I was already noticing how good LLMs and ChatGPT or the how how good these products are for shopping for gifts. Because if you go to Google and you say, I want I want gifts for a coworker who's obsessed with horses and, you know, loud opulence and fine watches and sports cars and European luxury houses. I can get a list of something, but it's they're all over the place.
Speaker 1:And so you can actually specify all of that in the prompt, have it go cook. Yeah. And it really will bring you great results. I think that the amount of gift guide development and shopping activity over the next two months during the holiday season in the ChatGPT app should be immense. I I feel like they're gonna capture none of it.
Speaker 1:There are some funny and interesting anecdotes in this, Fiji CMO profile. Let's just read through a little bit of it. In case OpenAI's structure couldn't get any weirder, a nonprofit in charge of a for profit that's become a public benefit corporation, it now has two CEOs. There's Sam Altman, CEO of the whole company who manages research and compute. And as of this summer, there's Fiji Simo, the former CEO of Instacart who manages everything else.
Speaker 1:In other news, OpenAI is allowing equity allowing employees to donate equity to charity for the first time in years
Speaker 2:other nonprofits.
Speaker 1:Months of internal pressure according to a memo viewed by The Verge, and price per share is up significantly since last month. A lot of money is on the line. What happens if they donate all of the shares to the nonprofit, to the OpenAI nonprofit? You just create this ouroboros of capitalism. Hopefully, it happens.
Speaker 1:I don't know. There's breaking news out of Saudi Arabia. We got a trillion dollars. Let's ring the gun.
Speaker 2:Let's go.
Speaker 1:Trillion.
Speaker 5:And the agreement that we are signed in the today and tomorrow, we're gonna announce that we are gonna increase that that 600,000,000,000 to almost $1,000,000,000,000 for
Speaker 1:1,000,000,000,000.
Speaker 5:Real investment and real opportunity by details in many areas. And the agreement that we are signing today in many areas in technology, in AI, in air materials, magnet, etcetera, create a lot of investment opportunities So you are doing that now? You're saying to me now that the 600,000,000,000 will be 1,000,000,000,000? Definitely. Because what we are signing and
Speaker 4:and we will I like that brand.
Speaker 1:Wow. I I I wonder what time period. But, I mean, this is remarkable. But they can invest in VC funds, public private equity funds, like all sorts of stuff in the in the industry in the economy. Right?
Speaker 2:That that really made Donald happy.
Speaker 1:It's great.
Speaker 2:I like that very much.
Speaker 1:That's sort of his job. He's kind of the chief fundraiser, I suppose. He's He's marshaling capital. World and and get the money over here. I don't know.
Speaker 1:It it seems like sort of sort of win. I don't know. The the risk with that would always would always be like, well, are are is America investing 2,000,000,000,000 in Saudi Arabia? Like, is it is it which way is the money actually flowing? Because you need to look at, like, the relative amount, not necessarily just the notional amount.
Speaker 1:But I can't imagine that there's that much capital flowing out of America right now. We're in the biggest boom ever. Valar Atomics became the first startup in history to split the atom, announcing project Nova, a series of zero power critical tests on Valar Atomic's NovaCore in collaboration with Los Alamos. Nova went critical for the first time this morning at 11:45. There is some debate on the timeline over what exactly happened.
Speaker 1:It's happened very quickly. It's clearly extremely impressive, and, we can get into this. But there's always been debate. I mean, Isaiah got into this dust up over, like, whether or not you could hold the nuclear fuel in your hand. They were going back and forth on calculations.
Speaker 1:They kinda settled that debate. Josh Payne, nuclear junkie, is saying here. So what exactly did what what hardware exactly did Valar provide? The fuel control systems, cooling measurement systems, and most of the core are all part of the Deimos project. Did Valar provide a block of graphite, and they're calling it their core?
Speaker 1:People are going back and forth. Niels chimes in here and says Valar Atomics provided the reactor core, the TRISO fuel, and the system configuration. That seems pretty important. The bigger thing is I I think people are, trying to push on Valar this idea that that they need to be doing completely novel science, and I don't know that that's actually the goal of the company. I don't actually know that's what like like, if we just zoom out to, like, what is the goal of the reindustrialization project in America?
Speaker 1:What's the what what's the goal here? Like, well, it's it's to lower energy prices. Right? Like, America wants to generate as much money as much as much energy as possible for as little money as possible. And Yep.
Speaker 1:There are a bunch of technologies that exist. There are new technologies like like what Ashley Vance was talking about with Helion and and and fusion. That's a new technology that we have not even discovered yet. Fission's been discovered. Eighty years ago, it was working.
Speaker 1:Yeah. It just became regulatory nightmare.
Speaker 2:We just shot ourselves in the foot.
Speaker 1:And we just stopped making it. It became it became unprofitable and uneconomical.
Speaker 2:And China said, cool.
Speaker 1:It'll be profitable for us.
Speaker 2:We're just gonna copy and paste Exactly.
Speaker 1:What street parking is going to look like in El Segundo in twenty four months. Of course, the El Segundo crew loves their cars. I think they're gonna stay pretty focused on the mission, but I would love to see this in El Segundo for sure. For sure. I'm working to a an address to address an apparent error for a data point I cited in my book about the water footprint of a proposed data center in Chile.
Speaker 1:I'd like to explain what happened, what I'm doing to remedy it, and provide more recent data on the water footprint of data centers. The data point in question appears in chapter 12 of my book, which focuses on the environmental impacts of AI. Part of the chapter profiles a community in, Surrilos, Chile, which has been resisting a proposed Google data center for years to describe the data center's water footprint in lay terms. I included a sentence about how it compares to the water usage of the people in Surrilos. For that calculation, I relied on a figure from a government reporting government document reporting Surla's residential water use based on the current best information.
Speaker 1:It seems that this document used the wrong units, so she was off by a thousand. I think I think people are, are generally like, you know, is this book a hit piece? And I think Sam actually cooperated with it a little bit or, like, gave some interviews for it. Like anything, it's, like, obviously critical of some things.
Speaker 3:Yeah. Three three orders of magnitude is, like, pretty big.
Speaker 1:Like And, like, difference between being a big deal and not a big deal
Speaker 2:at all.
Speaker 3:Like, about the water use, it's, people who use that to justify like, oh, we don't wanna build this data center. It's gonna use our water. Yeah. Like, I don't know. I mean, not good.
Speaker 1:It's a rough time if your if your job is Tom. Drinking water.
Speaker 2:Tom in the chat says mistakes were made. Mistakes were made in a book I was responsible for. Pope Leo has, hit the timeline to comment on cinema. The
Speaker 1:logic of algorithms tends to repeat what works, but art opens up what is possible. Not everything has to be immaculate or predictable. Defend slowness when it serves a purpose. Silence when it speaks and difference when, and difference when evocative. Beauty is not just a means of escape.
Speaker 1:It is above all an invocation. When cinema is is authentic, it does not merely console, but challenges. It articulates the questions that dwell within us and sometimes even provokes tears that we did not know we needed to express.
Speaker 2:He's in a role.
Speaker 3:What movie do you think he was thinking about when writing this? Obviously, Borat. Margin Call.
Speaker 1:100% margin call in Borat.
Speaker 2:10,000 likes, and I'll quit my software engineering job at Google tomorrow. And What happened to he said, six months ago, I made the worst decision of my life.
Speaker 1:Oh, because Google's ripping.
Speaker 2:Because Google's ripping.
Speaker 1:That's what he's talking about. Okay. Because I I I I read this initially. It's like he quit. He started the company, and it was like went really poorly.
Speaker 1:It's just funny.
Speaker 2:Well, he is building he is building the fastest way to post with postwrite dot a I.
Speaker 1:Okay. There
Speaker 2:you Post all your social platforms in seconds.
Speaker 1:Oh. Maybe we could use that for something. Very funny. He's like, my idea was Gemini three. Like, I was gonna make a better Gemini.
Speaker 1:I thought Gemini 2.5 just wasn't quite there.
Speaker 2:Thank you for tuning in to the show today, folks. We love you dearly, and we will see you tomorrow.
Speaker 1:Have a good evening. Cheers.