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Sam Altman on The Future of AI | Ep. 13
Sam Altman says AI could reshape science and work, but society may not automatically capture the gains from superintelligence.
Uncapped · Jack Altman
- Sam Altman is CEO of OpenAI.
The best minutes
- 1:13AI could make scientific discovery its biggest impact4 min
- 8:22Superintelligence may not make society feel different4 min
- 21:46Copying a competitor can keep a company behindPro pick 3 min
Also worth watching
- 5:33OpenAI's early robot hand failed for mechanical reasons2 min
- 15:30OpenAI wants its AI to work across every service4 min
- 18:59AI infrastructure depends on energy abundance3 min
Skip the employment-and-leisure discussion, the social-feed exchange, and the final eight minutes of personal reflections and family banter.
Full analysis · 5 min read
Real Alpha · Nov 8
Sam Altman says science may top AI products in five to 10 years
- Altman says scientific discovery may become AI’s biggest impact over the next five to 10 years.
- The case remains unproven because current evidence is mostly assistance, not autonomous, validated discovery.
- Executives should measure verified research gains, not model capability alone.
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6 sections, the 5 other voices it tests Altman against, and what it means for you. Every episode we cut gets one.
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Altman expects scientific discovery to dwarf product gains
Altman put scientific discovery at the top of his five to 10 year forecast. He said it could eventually dwarf the gains from new AI products.
But that is a forecast, not an observed outcome. The episode offers signs of useful assistance, but no demonstrated stream of autonomous discoveries.
Altman said a human scientist becoming three times as productive with o3 would be a major gain, if that happened. That example concerns researcher productivity, not a model validating results alone.
Sam Altman’s October 2026 appearance on Cheeky Pint described agent teams exploring math at high compute, including Navier Stokes. That was more than a year after this episode and shows exploration, not validated discoveries.
“AI will actually discover new science”
Our read
The opportunity is large, but the evidence sits at different levels. Assistance, hypotheses, and independently verified discoveries should not share one scorecard.
Reasoning has not yet made research autonomous
Altman said reasoning now handles some problems he would expect a field’s PhD to solve. For instance, he cited top programming and hard math competition performance as evidence.
Still, he said users cannot simply ask ChatGPT to discover new physics and expect it to work. The forecast therefore depends on progress beyond bounded demonstrations.
Altman relayed anecdotal reports from biologists who said AI made an idea leap. They still had to develop it further, so the human contribution remains part of the account.
In October 2026, Eric Schmidt said on In Good Company with Nicolai Tangen that systems still struggle with novel discovery. He estimated that capability might arrive in five to 10 years.
Our read
Reasoning is a credible input to research, not proof that the full process is solved. Teams should distinguish model skill from choosing a question, testing it, and confirming the result.
Scientific gains depend on experiments that close the loop
Altman called physics a cleaner problem if AI could use new high energy physics data and run experiments. Testability gives the field a concrete way to check proposed ideas.
On All-In in October 2026, David Friedberg said computers can check mathematical proofs in seconds and in parallel. He contrasted that loop with physical tasks, where feedback is slower.
That distinction puts a boundary around AI’s research promise. Slow tests, costly instruments, or uncertain measurements can keep reasoning gains from becoming scientific throughput.
Liam Fedus described a different design choice on Latent Space in October 2026. His lab treats full autonomy as a non-goal, using AI on instruments to serve experiment goals with full context. That is not evidence that AI shortens test cycles.
David Friedberg · All-In · Oct 10Math proofs fall fastest where the whole test loop runs in software
Liam Fedus · Latent Space · Oct 8Lab instruments need onboard AI because dumb data capture bottlenecks science
Our read
For discovery, the test loop is part of the capability. A benchmark that ignores experiment time can overstate the value a research team can capture.
More capable AI may not produce visible social gains
Altman said he is more confident than ever that highly capable systems are within reach. He is less certain society will gain as much as capability forecasts imply.
That separates scientific output from public benefit. A discovery still needs validation, adoption, and routes into use before its effects spread.
Altman noted people can use ChatGPT heavily and still work much as they did two years earlier. Extraordinary tools can become ordinary without producing a visible break in daily life.
On Prof G Markets in October 2026, Cal Newport said enterprise AI investment was heavy. He said returns remained mixed and many deployments were still experimental. That comparison reinforces the gap between usage and measurable returns.
Altman expects many jobs to disappear or change, but thinks people will find new useful work. That is an expectation, not a transition plan.
Our read
Capability, deployment, and broad benefit are separate milestones. Boards should not book a scientific breakthrough as proof that gains will spread quickly or evenly.
Research capacity depends on a wider supply chain
Altman described the needed AI supply chain as running from electrons to a ChatGPT query. He said the world must build across it, though OpenAI need not own every layer.
That framing matters for science as well as consumer products. Compute, energy, instruments, and partners determine how many proposed experiments a lab can actually run.
Altman said he has no reason to expect energy abundance to stop improving quality of life. He was never totally certain about fusion, but said he was quite confident and praised next generation fission. He offered no timeline for those sources.
Sam Altman said on Cheeky Pint in October 2026 that a gigawatt’s cost over five years was roughly $70 billion. He said $20 billion would be a better target.
But that later figure makes cost part of the research scale question, without establishing OpenAI’s own build plans.
Our read
Research budgets need the full experimental pipeline, not just model access. The episode leaves cost, supply, and timing unresolved.
Separate research productivity from autonomous discovery
Altman offered no operational scorecard for the transition from copilot to autonomous research. A buyer or lab leader has to define what evidence would justify expansion.
So start with separate counts for AI suggestions, researcher adopted hypotheses, and independently validated results. Those measures stop stronger answers on familiar tasks from standing in for discovery.
Then compare the time and cost per validated result with the current research process. Include expert review and experiment capacity, not only model usage or output volume.
Set a quarterly review around the full loop, from question selection through confirmation. If AI helps only one stage, budget the measured gain there rather than forecast autonomous science.
Our read
The prudent investment case is measurable research throughput, not an assumed scientific windfall. Fund what the pilot verifies and keep the larger forecast conditional.
What it means for you
- Define a discovery. Agree on what counts as a novel, validated result before launching an AI research pilot. Track suggestions separately from findings that survive testing.
- Map the experiment loop. Measure time from hypothesis to test and result. Prioritize workflows where teams can validate ideas quickly, rather than relying on reasoning benchmarks alone.
- Set a baseline. Compare AI research with the same team’s usual process, including time, cost, and researcher review. Altman’s three times productivity figure was a conditional example, not a general result.
- Budget the full stack. Include compute, energy, equipment, and partnerships in research plans. The episode frames infrastructure as necessary while leaving its cost and timing unresolved.
What to watch
- Whether AI produces independently verified scientific discoveries, rather than only assisting researchers.
- Whether fast experimental feedback loops translate model reasoning into validated results.
- Whether energy and compute capacity scale at costs research teams can support.
Send this to research, product, and finance leaders setting AI pilot budgets.
Watch the minute where Altman gives the five to 10 year horizon for science
Written by Real Alpha from the episode's transcript and the other moments it links, then checked against the transcript. Quotes are the speaker's exact words.
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Read it with Pro, 7 days free- 0:46AI could discover new science
Altman says AI's biggest impact over the next five to ten years could be discovering new science, beyond new social products, workflows and virtual employees. He says models can now reason at a level comparable to experts in some domains, and scientists report working faster with AI. Current scientific use is mostly as a copilot, though he has heard biologists describe AI making a fundamental leap.
- 5:33Robotics still needs better bodies
Altman says AI could improve self-driving and that humanoid robots remain a goal, but mechanical engineering is a major challenge. OpenAI once worked on a robotic hand that kept breaking and had a simulator that was slightly inaccurate. He predicts great humanoid robots in five to ten years and says their presence could feel more like the future than AI confined to computers.
- 8:22Superintelligence may not transform society
Altman says he is more confident than ever that developers know how to build highly capable AI, but worries that superintelligence might not make the world much better. He notes that people have continued much as before despite widespread use of ChatGPT. Altman thinks people will still want humans in stories and relationships, even as more embodied AI may draw stronger attachments.
- 11:10AI's social effects remain uncertain
Altman says AI may become capable of long, complex work and important discoveries, but he feels uncertain about how society will distribute its benefits. He expects many jobs to disappear or change, while arguing that people will find new ways to be useful and occupy themselves. He says those future activities may look like leisure from today's perspective.
- 15:30OpenAI envisions an AI companion
Altman describes a future AI companion that knows a user's goals and information and helps across ChatGPT, other services and a possible device. He says current computer form factors were shaped by the absence of AI, and that a new device could make an always-present assistant more useful. He also sees OpenAI's platform integrating across products and services.
- 18:59AI needs a larger energy supply
Altman says the world needs to think through the AI supply chain, from electricity to a ChatGPT query, but OpenAI does not need to build every part itself. He favors abundant energy and expects fusion and newer fission technologies to contribute, while also noting solar and storage. He hopes humanity eventually uses far more energy and says space could matter as demand grows.
- 21:46Altman questions Meta's innovation culture
Altman says Meta has made very large recruiting offers to OpenAI staff, including signing bonuses around $100 million and annual compensation above that. He says none of OpenAI's best people had accepted so far and argues that recruiting around guaranteed pay rather than the work could weaken culture. He says copying competitors is not a substitute for learning to innovate, and describes OpenAI as a research company that has been building its product organization.
- 27:44AI could support users' goals
Jack Altman imagines a social feed that users prompt toward goals such as fitness or learning, instead of one designed to maximize time spent or provoke anger. Sam Altman says technology that helps people do what they want in the long term would be valuable. He describes how daily distractions can pull people away from their intentions.
- 28:58Altman says OpenAI work is consuming
Altman says getting older has made him care less about others' opinions, and that OpenAI now has resources to pursue more ambitious projects. He says he has little bandwidth for anything beyond the company and would rather do one thing well. He finds the work satisfying and potentially important, but also overwhelming; he says being tech-famous has benefits, while broader fame makes normal life harder.
- 35:30Children may take capable AI for granted
Altman says his child will grow up in a world where computers are smarter than he is and will learn to use them fluently. He also says returning to Y Combinator brings nostalgia, and calls it an earnest, positive and effective part of Silicon Valley.
Published Jun 17, 2025.
Transcript · 35 min read
Uncapped, hosted by Jack Altman, with Sam Altman.
Transcribed by machine (Whisper) from the episode’s audio, so a word may be off here and there.
So far, we've got a consumer business, a B2B business. There's this whole Joni Ives thing, which I'm sure, you know, we can't really talk about. Johnny. Johnny. Oh, we got to start. I got to start over. I can't do that. Leave that in, please. No, no, no. We're going to cut it. All right. Today, I'm here with Sam. Sam, before we start, do you have anything you need to say? You're my literal podcast bro now. Wow. This is great. How did you come to this? It's so sad. You start a company, then you start being a VC, and now I'm here. Are you disappointed? Well, I went the other way. What do you mean?
Well, I was like a VC, then I did a podcast. No, you went the other way. Yeah, it's been good for you. It's great. I'm really proud of you. Okay, so, but I think this is great for you. Thank you. Okay. I think you're an incredible podcaster. It's a very nice sweater, too. Thank you. Thank you. Okay, so I want to start by talking about that. Stop. What are you going to say? Go ahead. I'll say it later when we're done recording. I wanted to start by talking about the future of AI. And I want to talk about the medium term, because the short term is not as interesting to me. The long term, who knows?
But like five, 10 years out is what I'm most interested in talking about. And I kind of want to try to pull out from you your best guess of a bunch of specific things. One of the places I wanted to start was in software. It seems like the most effective use cases so far, which I'm curious if you agree with, but seem to be coding and then chat and code. Yeah, chat and code.
Read the whole transcript
“the thing that I think will be the most impactful on that five to 10 year time frame is AI will actually discover new science.”
just say build me this type of business it looks like this that will happen i don't like there are any people doing that for like small stuff you know you hear these stories of people who like use ai to do market research and like figure out new products and then like email some manufacturer and get some dumb thing made and sell it on Amazon and run ads.
Like there are people that have actually figured out at small scale in the most boring ways possible how to like put a dollar into AI and get the AI to like run a toy business. But it's actually working. Yeah.
“the thing just broke all the time the simulator was like a little bit off”
Big number. Yeah. Does stuff get much riskier once we have, like, super embodied intelligence? Because those things are gonna be way stronger than us, too. I don't know about way riskier. I think, like, the ability to make a bioweapon or, like, take down a country's whole grid, you can do quite damaging things without physical stuff. It gets riskier in, like, sillier ways. Like, I would be afraid to have a humanoid robot walking around my house that might fall on my baby unless I, like, really, really trusted it.
“somehow it's that we build legitimate super intelligence and it doesn't make the world much better it doesn't change things as much as it sounds like it should”
I can't tell if sometimes with some of these statements that people don't react because they only kind of believe it. And maybe that's part of why. But I agree. I mean, that's what, you know, the history of a lot of this stuff has been. It like gets said, people don't quite believe it. And then it happens and then people just kind of adjust. So I don't know what to make of all that either. I feel like we've been very right on the technical predictions.
And then I somehow thought society would feel more different if we actually delivered on them than it does so far. But I don't even it's not even obvious that that's a bad thing. Well, one of the more obvious short term impacts will be potentially or you'd think would be like employment. That seems like something that like we don't need like, you know, we don't need to believe crazy leaps to see that there ought to be some impact like this is going to happen in customer support very obviously right now, for example. Yeah. I mean, my take on this is a lot of jobs will go away. A lot of jobs will just change dramatically.
But we have always been really good at figuring out new things to do and ways to occupy ourselves and status games or ways to be useful to each other. And I'm like not a believer that that ever runs out. Yeah. I think now I do think it gets maybe sillier and sillier looking from our current perspective. Yeah. Like podcast, bro, was not a real job, not that long ago. And you figured out how to monetize it and you're doing great. And we're all happy for you. We're so happy. but would would like the subsistence farmer look at this and say this was a job or this is you like playing a game to entertain yourself i think they would subscribe to this podcast i bet they would they would like it but i do think that there is like a big issue here in the short term i think long term who knows i mean one of the things i'm curious about is in general so like going from a time when like everybody was a farmer and like nothing that we're currently doing makes any sense to like now you have all this stuff is it different this time if there's enough resources to go around like at some point are there enough resources to go around and like that's what creates the difference where now people just like don't make new jobs and this so vinod was on the
podcast last week he we're going to release this one first so this won't be out by the time that this is said but his point was that people will just consume a lot more leisure so he kind of took the view of like i think this time like there's just going to be an abundance of resources everybody's gonna have the stuff that they need we're gonna be able to build you know buildings and people can now just like enjoy their lives. Again, I think like the relativistic framing matters here. To us, I bet it will look like those people are just consuming crazy amounts of leisure. I guess this looks like a lot of leisure.
But look at you in that beautiful $2,000 lower piano sweater and doing like hosting this ridiculous podcast. This is a regular sweater. So yeah, I think the relativistic point is really important. But like, you know, to us, our jobs feel incredibly important and stressful and satisfying. and if we're all just making better entertainment for each other in the future, maybe that's kind of what at least one of us is doing right now. That's right. All right, let's change gears. I don't like where this is going. Let's talk about OpenAI. It's a good thing about our brothers. They can really call you out on your bullshit.
It's really helpful. I appreciate it.
“the most important one that the world hasn't really thought about yet is what it means for this to be a platform that everything integrates into”
“the thing that has most correlated with improvements in quality of life over history is increasing abundance of energy.”
it seems like that it it's funny should i make a rocket company i told you that i thought you should make a rocket company there's a bunch of things i think you should i don't know why not what else is on the list i have a whole lot of things on the list for you i would do rocket i would do social i would do as many as you could basically why not i kind of like doing one thing I like my family. I'm pretty busy already. Yeah.
“That basically never works. You're always like going to where your competitor was.”
How do you do both? Because like to have like an extremely commercial company and an extremely research oriented company at the same time, there's just like not a lot of examples of it. And I get how you did it before you were really, you know, commercialized, but now you're both and it's still working. We're newer at product. We're newer. Like, I don't, we need to earn that that's working. We're doing okay. We're doing better and better.
But we're like, a lot of the history of tech companies is you start a well-run tech company, a product company, and then you later bolt on a badly run research org. We're the opposite. We're the only case I know of that's the opposite. We started as a great research company and bolted on this was initially badly run, getting better and better product company. I think eventually we'll be a great product company. And I'm very proud of the work the team has put in there. But like two and a half years ago, we were only a research lab. That's crazy that it was that short ago. And we had to build this whole big company.
It's amazing, amazing what people have done there. But ChatGPT launched November 30th of 2023. I mean, it's easier to get people together who know how to build a company than who know how to do that kind of research, obviously. It's still hard. Like most companies that have had to build out a product at this kind of scale got much more than two and a half years to do it. Yeah. Why would Meta think of you that competitively? Like, I obviously understand that, like, they probably just see that AI is the whole game. And like, maybe that's just that someone that used to work at Meta said to me that, like, you know, in the rest of the world, people think of ChatGPT as a Google replacement.
But in Meta, people think of ChatGPT as a like a Facebook replacement. Because people are just spending all their time talking. Because they talk to it in a way that otherwise and they like it more. Time is the scarce resource and attention. It wasn't a question about time. it was that people with this well me of course there is time competition too but that people like doom scrolling on the internet feels like it's making you worse it may feel good in the moment but it's making you feel worse it's making me feel worse a worse version of themselves and i think that we're very proud of some people talk about chat gpt they're like actually like myself better it's like helping me it's like helping me accomplish my goals i feel like it's like this was actually one of the best nicest compliments i ever heard about open ai just someone said it's the only tech company that's ever not felt somewhat adversarial to me you know you have like google trying to like show me worse and worse results and show me ads oh i love google i love all these companies i don't think this is like totally fair you have like meta trying to like hack my brain and get me to keep scrolling you have apple that made this
phone that i love but it's like you know bombarding me with notifications and like distracting me from everything else and i can't quit and and then you have like chat bt and i feel like it's like kind of just trying to help me with whatever i ask and that's kind of a nice thing is there a way to do social that has like the interpersonal component and this energy a version that i'm curious about although this is i don't know what this would mean uh is like Could you have a feed that didn't have any default, but you could kind of prompt it and say, hey, I'm trying to get fit. Can you show me stuff that is helpful to that? Or I'm trying to learn more about current events. Can you show me stuff from a neutral perspective that is not going to make me angry, but it's just actually going to do it?
And that would clearly get less minutes spent than the algorithmic feed that's like outrage baiting. But I think that'd be like a very cool version of an aligned AI helping you with the social experience that you actually want long term. I don't know. I feel like every morning, like I wake up as this like recharged person that knows what I really want in life and that I have like such great intentions and I can like commit to stuff for the day. And then like the day comes at me nonstop. And by like 10 p.m., I'm like, oh, I wasn't going to drink tonight, but I'm just going to have one glass of whiskey.
and I wasn't going to look at like TikTok, but I'm just going to scroll for two minutes. You shouldn't work so hard. I agree with that. But like if I could be my like first thing in the morning self all the time and if I could get technology to like do the things I wanted then, I think I'd be great. Yeah. I lived with you like what? 10 years ago. Yeah. And even then I would say you were and you were like running YC at the time. And at the time you were like, I would say very high agency and you just like did what you wanted and there were no rules. but i think that since then and especially recently it's like there's really like seems like there's like no rules like you know the stargate thing there's like you know bringing fiji into the company there's like johnny i there's like a lot of things honestly and i'm curious if there's any mental update or sort of uh if there's anything that you're able to put your finger on or share that is you know making you function that way i think our grandma used to say oh god no it's it's just like one of the great things about getting old is you stop caring what other people think and i felt that i'm just like you know what and i've also just like you
know been in the fire line enough but i do think there's something freeing about getting older and caring less about what people think do you still have a set of things that you're like hesitant like is there another level of agency that you could be acting with like do you have ideas that You're like, ah, I would do that, but something's holding me back. So that was the second thing I was going to say is like, as OpenAI gets into a place of like more resources and more potential, we can just do more things. So there's still like a lot of things. Like I would love to go build the Dyson sphere on the solar system and like, you know, make the world's gigantic data center with the entire energy output of the sun.
But obviously we can't do that right now. So that one has to like wait a couple of decades. But I think we're able to do more. Like we're credibly able to do more things now. How do you pick when you have because that's the other problem is like you've got the like the curse of choice. And so it's like you could you could start some rockets. You could do a social network. You could go nuts on whatever you wanted to. You could go crazy into robotics. How do you like pick when you've got over choice like that? The degree to which I have no extra bandwidth to do anything else right now is like hard to overstate.
So like, and also I never wanted to run even one company, like let alone a lot of them. Yeah. I mean, I thought I was just going to be an investor. Yeah. I thought you were going to be an investor too. It's a nice life. It's a great life. Yeah. You seem like. Don't I seem happy? I was going to say, you just seem like you have a lot of time for hobbies. I'm glowing. You are glowing. Yeah. You know why? I got gua sha this morning. What's gua sha? Gua sha is like when, you know, it's your lymphatic system. My wife did it. She just like massage your face for me. If you need this podcast, you might get a lot of views.
I want your face to, you know. And she just sits there like rubbing stuff on your cheeks. One minute, yeah. Wow. Well, you look great. Thanks. Tell her, good job. But I have time to do that. I'm going to text her about my thoughts about that right after this. I don't know. I would like to just do this one thing really well. And I sort of trust that other people make great rocket companies. Would you say on Blend, do you overall really like it? Because it's like more than you bargained for. I mean, I feel very grateful and very like lucky for sure. And I have no doubt that like someday in the future when I'm like retired, I will miss it.
And like, I'd be like, oh man, I'm kind of bored now. And that was so cool. It's like very important. It feels very important. It feels very satisfying. I feel like crazy grateful to get to do it. And I do like it almost most of the time. But man, has it been like all out and overwhelming and like, yeah, really. I think I've been way more in the in the kind of like line of fire than I ever imagined. Well, it's not really what you set out to do. I mean, like, you know, most of the time somebody starts to like a software company. They expect it to be a software company. I don't think you expect it all.
It was supposed to be my retirement job. This was I supposed to like run a little research lab. Yeah. And I mean, there was a world where this didn't I mean, there was obviously a lot of worlds where this didn't happen. Yeah. Aside from the liking it and aside from, you know, the number of hours, do you experience it as like heavy and important or like a playful interesting puzzle uh very much both of those at the same time like i feel like it is clearly from like a societal impact perspective or at least the potential uh it is the most important work the most impactful work i'll ever touch i don't know i don't want to get like too much like drinking our own kool-aid but like you know maybe this will be like somewhat historic work uh and and i feel that when i have time to like step back and think about it but in the day-to-day it's kind of like you know it's a smaller stuff and i do find a lot of joy in the smaller stuff like i love the people i work with it's like very fun to get to like do a lot of the pieces some parts are like very stressful and painful but it's the like it is more like uh it feels more like an interesting puzzle than important work you also get to like talk to whoever you want that's cool you get to like think about whatever you want i don't get
to think about whatever i want i get like problems i feel like i'm like a pre-trained model that just like wakes up in the morning i have like an hour to myself and then i'm just like streamed well stuff and i have to react okay i guess you could um you can put into the model everything's on the table even if you can't control how much time you get to give to it i guess it doesn't feel that way that's i mean it feels like there's some small amount of time before the day really gets going where i've got some agency and can decide some things and then i'm it feels like fairly reactive interesting yeah i guess there's kind of no way around that given the pace of skill i'm trying to find it that's tough yeah i guess you know you'll get you keep hiring execs it gets to a certain place at some point hopefully what about for like your own experience because like what's been interesting to me you know obviously i don't think any differently about you know you on some level other than i think this is very cool but like you've obviously gone from like tech echo chamber famous to just like a regular new york times famous is there any upside or is it all just suck i think there is a lot of upside to being tech famous i think that's like the perfect level
a little bit like if you're like tech famous you can sort of get a lot of interesting stuff down you can meet kind of anyone you want like it's it's just like that felt you can kind of like encourage people to do stuff there's like a lot of good opportunities that felt good i mean i think i'm not like celebrity famous that would be really miserable but i'm it's enough that i can't like quite have a normal life well it has a different energy to it like you're never going to be as cool as tom cruise or something for sure but i like you know i can still like walk on the streets um i didn't mention this to you but when we were in the exploratorium last weekend in the gift shop.
Somebody was like, the CEO of ChatGPT is in the building. I was like, that's good. My son still calls ChatGPT Siri, which I think is very funny. We're going to talk about that. Yeah. I talked to Siri this morning. It was very funny when you guys called this weekend and he was like, are you really, are you really, did you really make ChatGPT? I just told him. Yeah. The inventor of Siri right here. Speaking of kids, given the current trajectory you think things are on, does it make you change what you think kids should be learning or what you'll teach your own kids? My kid did learn to roll over yesterday.
That's pretty good. Yeah. I was very impressed. The head strength. Incredible. Yeah. Top top tier babies. Incredible. Strong. Yeah. I don't. think so like i i mean this stuff it's not going to ever seem weird to him right like he's just going to grow up in a world where of course computers are smarter than he is yeah and he'll figure out how to use them incredibly fluently and do amazing stuff and that will just seem like yeah yeah that's good hopefully that's how it plays when you go back to like yc after this experience are you back and are you like oh this is like you know because obviously you ran yc and So you had that whole chapter of your life.
When you go back now, are you like, how do you experience it? Is it like, oh, this is like a quaint thing? You know, I love YC. I think like I mean, that in a negative way. I mean, in just sort of like a simple, simpler times kind of way. There's some nostalgia for that. Yeah. Yeah. And it's really like fun to always go back and talk to the batch. But yeah, it hits the nostalgia hard. I just feel like it's like the most pure component of Silicon Valley is YC. I totally strongly agree. You know what I mean? 100%. It's just so happy. it is earnest and positive and energetic and happy and like clearly it works super well yeah all right well this was a blast mom hope you were watching this this was very fun thanks thank you jack
