Their wordsAI is developing at a very rapid pace, far more rapidly than most outside of the industry fully understand, and far more rapidly than almost anyone in the industry predicted.
Their wordsGPT-2, R1, and nearly every other AI model released since 2018 have all been part of a consistent story: AI capabilities that rival and ultimately exceed human intelligence are easier and cheaper to build than almost anyone can intuitively grasp, and this gets easier and cheaper every month.
Jakub PachockiChief Scientist at OpenAIBased on internal results, I have a strong expectation that this speed of progress could be sustained into recursive self-improvement.↗An Alien Mindopenai.com · 6 Sept 2026
Their wordsBased on internal results, I have a strong expectation that this speed of progress could be sustained into recursive self-improvement.
Their wordsAnd I’ve said for a long time that you think of a quadrant of slow timelines for the start of AGI, long timelines, and then a short takeoff or a fast takeoff. I think short timeline, slow takeoff is the safest quadrant and the one I’d most like us to be in. But I do want to make sure we get that slow takeoff.
Their wordsand I don't think we're headed to that world largely because of the fact that the models rely so much on large scale test time compute in order to achieve um their greatest intelligence. If you if it requires so much test time on compute to unlock the full capabilities of the model, then that means you're bottlenecked by time
Andrej KarpathyFounding member of OpenAI and former director of AI at TeslaSo like they don't have enough intelligence. They're not multimodal enough. They can't do computer use and all this kind of stuff. And they don't do a lot of things. You know, they don't have continual learning. You can't just tell them something and they'll remember it. And they're just cognitively lacking. And it's just not working. And I just think that it will take about a decade to work through all of those issues.↗Andrej Karpathy — “We’re summoning ghosts, not building animals”youtube.com · 17 Oct 2025 · 0:02:14 into the videoAll korrents from this video
Their wordsSo like they don't have enough intelligence. They're not multimodal enough. They can't do computer use and all this kind of stuff. And they don't do a lot of things. You know, they don't have continual learning. You can't just tell them something and they'll remember it. And they're just cognitively lacking. And it's just not working. And I just think that it will take about a decade to work through all of those issues.
Their wordsI don't think all parts of the economy can absorb intelligence equally. So let's just say we develop fairly generalized super intelligence. I always use the analogy like you can invent a lot of drugs, but if clinical trials still take a long time, you're not necessarily going to get new therapies rapidly.
Their wordsThe main disagreement is not about what will happen once we have a superintelligent AI, it’s about what will happen before we have a superintelligent AI.
Sam AltmanCo-founder and CEO of OpenAIWe care very deeply about AI safety. We believe the entire field will have to coordinate on shared safety standards, but will act unilaterally in the meantime. We expect confidence in safety to increasingly set the pace of AI progress.↗@sama on Xx.com · 18 Aug 2026
Their wordsWe care very deeply about AI safety. We believe the entire field will have to coordinate on shared safety standards, but will act unilaterally in the meantime. We expect confidence in safety to increasingly set the pace of AI progress.
Jakub PachockiChief Scientist at OpenAICurrently I believe that no lab has solved alignment and monitoring to a sufficient degree to continue responsibly scaling at maximum speed for much longer.↗An Alien Mindopenai.com · 6 Sept 2026
Their wordsCurrently I believe that no lab has solved alignment and monitoring to a sufficient degree to continue responsibly scaling at maximum speed for much longer.
Sam AltmanCo-founder and CEO of OpenAITo ensure that, we need ways to ensure that alignment and safety techniques stay ahead of progress in model capabilities.↗@sama on Xx.com · 14 Sept 2026
Their wordsTo ensure that, we need ways to ensure that alignment and safety techniques stay ahead of progress in model capabilities.
Jakub PachockiChief Scientist at OpenAIAnd I believe that international coordination on future AI development needs to become a top priority for governments around the world.↗An Alien Mindopenai.com · 6 Sept 2026
Their wordsAnd I believe that international coordination on future AI development needs to become a top priority for governments around the world.
Their wordsSo part of the reason that we deploy the way we do, we call it iterative deployment, rather than go build in secret until we got all the way to GPT-5, we decided to talk about GPT-1, 2, 3, and 4. And part of the reason there is I think AI and surprise don’t go together. And also the world, people, institutions, whatever you want to call it, need time to adapt and think about these things.
Sam AltmanCo-founder and CEO of OpenAIAn iterative loop where society and this technology evolve together is what will lead to the highest chance of getting this right.↗@sama on Xx.com · 1 Sept 2026
Their wordsAn iterative loop where society and this technology evolve together is what will lead to the highest chance of getting this right.
Their wordsone of the one of the ways in which my thinking has been changing is that I now place more importance on AI being deployed incrementally and in advance.
Their wordsLike basically I think I think that there is a big benefit from AI being in the public and that would be a reason for us to not be quite straight shot.
Their wordsWe want to put increasingly powerful tools in the hands of people for free and get them to use them. I think that kind of open is really important to our mission. I think if you give people great tools and teach them to use them or don’t even teach them, they’ll figure it out, and let them go build an incredible future for each other with that, that’s a big deal.
Their wordsI think concentration of power has basically been bad in every moment of human history um to varying degrees of course but I have a real spirit and I think this is part of the startup spirit of thinking that the world, the economy, society is the best off when power is very widely distributed
Their wordsI continue to not want super-voting control over OpenAI. I never have. Never have had it, never wanted it. Even after all this craziness, I still don’t want it. I continue to think that no company should be making these decisions, and that we really need governments to put rules of the road in place.
Sam AltmanCo-founder and CEO of OpenAIStandards should help prevent the concentration of power, including by making sure new companies and open-model companies can compete.↗@sama on Xx.com · 22 Sept 2026
Their wordsStandards should help prevent the concentration of power, including by making sure new companies and open-model companies can compete.
Their wordsIndeed, the whole problem, what is the problem of AI and AGI? The whole problem is the power. The whole problem is the power. When the power is really big, what's going to happen?
Their wordsNumber three, I think it would be really materially helpful if the power of the most powerful super intelligence was somehow capped because it would address a lot of these concerns.
Their wordsIn fact, if if we are right that AI is going to be such a big change, startups will be much more important to making sure that the power of this technology gets widely distributed throughout the economy and society and is not just concentrated in a few companies or models.
Their wordsIn short, whether AI is a normal technology or an unusually dangerous one, it doesn't make sense for companies to check their own homework on safety and security.
Their wordsI think frontier AI auditing (covering both safety and security) is both urgently needed and doable, and can help avoid extreme concentration of power, since it introduces external oversight into the decision-making of people with a "country of geniuses in a datacenter" at their disposal.
Their wordsHistory has shown very extensively that, left to their own devices, even if something could be done safely, people in a hurry will find all sorts of ways to f*** things up.
Their wordsContrary to some people’s beliefs, companies do not in fact have sufficient incentives to mitigate all major risks, and competition is driving corner-cutting that needs to be reined in somehow.
Their wordsCompanies and countries are tempted to cut corners by default and would benefit from some rules of the road, at least if they're sure others will follow those rules.
Their wordsThe state-of-the-art today can be more accurately described as "last-minute, black-box product testing" rather than auditing, and I think this situation threatens public safety, international stability, and sustainable commercial adoption of AI.
Their wordsIt's actually very difficult because, yeah, you would have to the only way to to really do the evaluations is then delay the model release cycle. Um and you know there's a lot of competitive pressure right now to not do that.
Their wordsAnd while the costs of investing in security are largely borne by the company, the costs of under-investing are borne by a much larger set of actors, e.g. perhaps the country or world as a whole.
Their wordsAnd one of the one thing you could do, and I think that's something that is done inadvertently, is that people take inspiration from the evals.
Their wordsThe models are much more like the first student but even more because then we say okay so the model should be good at competitive programming so let's get every single competitive programming problem ever and then let's do some data augmentation so we have even more competitive programming problems
Their wordsI simultaneously feel like I'm talking to an extremely brilliant PhD student who's been like a systems programmer for their entire life and a 10-year-old.
Their wordsAnd so you're kind of like you're either on rails and you're part of the super intelligence circuits or you're not on rails and you're outside of the verifiable domains and suddenly everything kind of just like meanders.
Their wordsSo even though the models have improved tremendously and if you give them an agentic task, they will just go for hours and move mountains for you. And then you ask for like a joke and it has a stupid joke. It's crappy joke from five years ago and it's because it's outside of the it's outside of the RL.
Their wordsAnd I kind of feel like the industry it's it's um it's over it's it's making too big of a jump and it's trying to pretend like this is amazing and it's not. It's slop and I think they're not coming to terms with it and maybe they're trying to fund raise or something like that.
Their wordsone thing I see for research in particular is they don't have very good research taste right now and so I think they're actually a very good complement to researchers
Their wordsAnd then I was like, okay, can you come up with an algorithm that is better than the algorithms that I came up with or that anybody else came up with and go ahead and like look at all the published work and synthesize that and then try to come up with something novel and it it's not able to do it. And I can give it a lot of time and it's it's still not able to do it.
Their wordsI think basically what takes the long amount of time and the way to think about it is that it's a march of nines and every single nine is a constant amount of work.
Their wordsLike it would be different for sure but like is the belief that if you just 100x the scale everything would be transformed. I don't think that's true. So it's back to the age of research again just with big computers.
Their wordsAnd so because scaling sucked out all the air in the room, everyone started to do the same thing. We got to the point where uh we are in a world where there are more companies than ideas by quite a bit.
Their wordsSo there definitely for for research you need like definitely some amount of compute but it's far from obvious that you need the absolutely largest amount of compute ever for research.
Their wordsAnd it's just this, this is an example of how language affects thought. Scaling is what just one word, but it's such a powerful word because it informs people what to do.
Their wordsThe problem is we're in a world now where the capability of the model is a function of how much money you put into it. Basically, if you give it a budget of $10,000, it can do a lot more than what it can do with a budget of $10. Give it a budget of $10 million, you can do even more. At what budget should you evaluate these models? The policies that exist today don't really address that question.
Their wordsI think the reason why it doesn't show up as so much better on the benchmarks is because the benchmarks are being presented, the benchmark results are being presented in the wrong way. They're not controlling for the amount of test time compute that is being used on that benchmark question.
Their wordsI kind of went from 80/20 of like, you know, uh to like 20/80 of writing code by myself versus just delegating to agents. And I don't even think it's 20/80 by now. I think it's a lot more than that. I don't think I've typed like a line of code probably since December basically.
Their wordsSo I think the industry just has to reconfigure in so many ways that's like the customer is not the human anymore. It's like agents who are acting on behalf of humans and this refactoring will be will probably be substantial in a certain sense.
Their wordsIt used to be that you have documentation for other people who are going to use your library, but like you shouldn't do that anymore. Like you should have instead of HTML documents for humans, you have markdown documents for agents.
Their wordsI think to a large extent you feel like it's a skill issue. It's not that the capability is not there. It's that you just haven't found a way to string it together of what's available.
Their wordsSo the question is how do I refactor all the abstractions so that I'm not I have to arrange it once and hit go. The name of the game is how can you get more agents running for longer periods of time without your involvement doing stuff on your behalf?
Their wordsI do have like cautiously optimistic view of this in software engineering where I do think um it does seem to me like the demand for software will be extremely large. Um and it's just become a lot cheaper.
Andrej KarpathyFounding member of OpenAI and former director of AI at TeslaExpectation: the age of the IDE is over
Reality: we’re going to need a bigger IDE
(imo). It just looks very different because humans now move upwards and program at a higher level - the basic unit of interest is not one file but one agent. It’s still programming.↗@karpathy on Xx.com · 11 Mar 2026
Their wordsExpectation: the age of the IDE is over
Reality: we’re going to need a bigger IDE
(imo). It just looks very different because humans now move upwards and program at a higher level - the basic unit of interest is not one file but one agent. It’s still programming.
Their wordsso I think there's there's an interesting point here because I do believe coding is like the perfect first thing for uh for a for uh these LLMs and uh agents and that's because coding has always fundamentally uh worked around text.
Their wordsit's like if you're a software engineer and you're not using something like cursor to do your job, you're probably being half as productive or even worse than you could be.
Their wordsOne of the the key kind of frameworks I use here is like designing for 6 months out. So if you just presume that model capabilities are going to get better and you think about where we might be in six months and you kind of start to build products for that world that's kind of a good framework to to use
Their wordsany kind of like scaffolding that you do like over scaffolding like some of the things that I just talked about will kind of get washed away with like new model releases. So, I think you just have to stay super flexible, right?
Their wordsOne of the biggest barriers of of of folks like using tools like Codex is this like limiting factor of like, oh, it can't do that. But every time, at least I've kind of like pushed myself, you know, really expands the scope of what is possible.
Their wordsinstead of like specking out the pixels, you basically move to the skill level and you kind of define a uh design language, you know, within the skill.
Sam AltmanCo-founder and CEO of OpenAIThere will be very hard parts like whole classes of jobs going away, but on the other hand the world will be getting so much richer so quickly that we’ll be able to seriously entertain new policy ideas we never could before.↗The Gentle Singularityblog.samaltman.com · 10 Jun 2025
Their wordsThere will be very hard parts like whole classes of jobs going away, but on the other hand the world will be getting so much richer so quickly that we’ll be able to seriously entertain new policy ideas we never could before.
Their wordsWe will find new things to do, new ways to be useful to each other, and new ways to compete, but they may not look very much like the jobs of today.
Their wordsThe way I think about it is not what percent of jobs AI will do, but what percent of tasks will AI do on over one time horizon. So if you think of all of the five-second tasks in the economy, five minute tasks, the five-hour tasks, maybe even the five-day tasks, how many of those can AI do?
Their wordsAs AI gets smarter, access to AI will be a fundamental driver of the economy, and maybe eventually something we consider a fundamental human right.
Their wordsLook, I think compute is going to be the currency of the future. I think it will be maybe the most precious commodity in the world, and I think we should be investing heavily to make a lot more compute.
Their wordsI've never seen any commodity quite like this one but it seems to me like the demand for sufficiently high quality intelligence at a sufficiently low price is effectively uncapped.
Their wordsI think when a system can significantly increase the rate of scientific discovery in the world, that’s a huge deal. I believe that most real economic growth comes from scientific and technological progress.
Their wordsbut I would I would bet that this generally will cut against many years of experience in favor of people who have a lot of fluency with the tools.
Their wordsI think the question behind that question is, do people who create valuable data deserve to have some way that they get compensated for use of it, and that I think the answer is yes. I don’t know yet what the answer is. People have proposed a lot of different things. We’ve tried some different models. But if I’m like an artist for example, A, I would like to be able to opt out of people generating art in my style. And B, if they do generate art in my style, I’d like to have some economic model associated with that.
Their wordsand I don't think we're headed to that world largely because of the fact that the models rely so much on large scale test time compute in order to achieve um their greatest intelligence. If you if it requires so much test time on compute to unlock the full capabilities of the model, then that means you're bottlenecked by time
Sam AltmanCo-founder and CEO of OpenAIWe care very deeply about AI safety. We believe the entire field will have to coordinate on shared safety standards, but will act unilaterally in the meantime. We expect confidence in safety to increasingly set the pace of AI progress.↗@sama on Xx.com · 18 Aug 2026
Their wordsWe care very deeply about AI safety. We believe the entire field will have to coordinate on shared safety standards, but will act unilaterally in the meantime. We expect confidence in safety to increasingly set the pace of AI progress.
Their wordsNow, if I do web stuff, it's easy to create a cloud session. If I do like something that requires Mac OS, that's already where like 99% of the tools fail me.
Their wordsThe the biggest constraint uh is honestly like people's understanding and ability to sort of absorb what you're what you're giving them, right?
Their wordsThis is the sole intrinsic thing about AI that prevents agents from truly infinite self-replication. They will be constrained by the need to find and pay for sufficient compute to run themselves.
Peter SteinbergerFounded PSPDFKit in 2011 and ran it for a decadeThe biggest design mistake I made when we moved OC to sqlite: using sync db access. When it was just an agent that reports to you on Slack or iMessage this was fine; now that one agent might do 50 sessions in parallel and the whole team works on it, it is limiting.↗@steipete on Xx.com · 26 Sept 2026
Their wordsThe biggest design mistake I made when we moved OC to sqlite: using sync db access. When it was just an agent that reports to you on Slack or iMessage this was fine; now that one agent might do 50 sessions in parallel and the whole team works on it, it is limiting.
Their wordsif you're a little bit too blinders on and just trying to say well how do we get this thing out as quickly as possible and not totally understanding that we have a bunch of other things going on that are actually pretty similar
Their wordsBut if we crack down on all of them, we will deny them the opportunity to work in the “legitimate” economy and push them toward criminality. A full ban, then, may well make the problems worse.
Their wordsOne performance anti-pattern is when a company, to debug one performance problem, installs a monitoring tool that periodically does work and causes application latency outliers.
Their wordsYou know features are the fun part. A new feature is is just a prompt away. The real cost comes after every feature we shipped of course with a configuration option because we didn't want to break everyone's setup.
Their wordsthere's a lot of like theorizing that one can do before you ship something but nothing compares to like the actual empirical evidence of seeing users try it, use it, and then iterating from there.
Their wordsWe definitely don't spend our time I think like trying to craft the exact perfect solution until we know that it even works and so I think trying to get to an early version that we can play with in the product I think it's like a really good milestone
Sam AltmanCo-founder and CEO of OpenAIAn iterative loop where society and this technology evolve together is what will lead to the highest chance of getting this right.↗@sama on Xx.com · 1 Sept 2026
Their wordsAn iterative loop where society and this technology evolve together is what will lead to the highest chance of getting this right.
Their wordsContrary to some people’s beliefs, companies do not in fact have sufficient incentives to mitigate all major risks, and competition is driving corner-cutting that needs to be reined in somehow.
Their wordsAnd while the costs of investing in security are largely borne by the company, the costs of under-investing are borne by a much larger set of actors, e.g. perhaps the country or world as a whole.
Their wordsIt's actually very difficult because, yeah, you would have to the only way to to really do the evaluations is then delay the model release cycle. Um and you know there's a lot of competitive pressure right now to not do that.
Their wordsSecond of all is I hope you worked on your personal brand and on visibility because in this day and age there's so much noise out there that your hardest problem is not the tech, it's not the software, not even the people. The hardest problem now is like getting eyeballs.
Peter SteinbergerFounded PSPDFKit in 2011 and ran it for a decadeMaybe I would pick something again that's that's in the category hard and boring because that's usually a category that is a little bit easier to actually find people that will appreciate when you solved something. If you pick something that is fun, even if it's hard, you're gonna have a very tough time, especially in a time where people can just prompt things into existence.↗Peter Steinberger: "Fun Is Velocity"youtube.com · 10 Aug 2026 · 40:35 into the videoAll korrents from this video
Their wordsMaybe I would pick something again that's that's in the category hard and boring because that's usually a category that is a little bit easier to actually find people that will appreciate when you solved something. If you pick something that is fun, even if it's hard, you're gonna have a very tough time, especially in a time where people can just prompt things into existence.
Their wordsI think that just because anybody can do it doesn't necessarily mean it's going to be good or the right thing to build or the right instinct. I think we will as designers or or any function I think like your job's going to be more and more about kind of helping edit and direct and curate
Their wordsBut I much rather read your broken English than your AI slob. You know, of course there's a human behind it, and yet they, they prompt it. I'd much rather read your prompt than what came out. Um, I think we're reaching a point where I value typos again.
Collective action problemsWhat everyone would gain from, nobody provides alone, so shared goods need someone or something to hold people together.4 claims
Their wordsCompanies and countries are tempted to cut corners by default and would benefit from some rules of the road, at least if they're sure others will follow those rules.
Their wordsAnd so you kind of end up in this this bad equilibrium where everybody kind of knows that it's a bad equilibrium, but like nobody wants to break out. And I I felt like, okay, well, if I just hopefully come out and say like, look guys, let's all recognize that we're in a bad equilibrium and let's move to this different equilibrium where we're we're plotting things with an X-axis
Jakub PachockiChief Scientist at OpenAIAnd I believe that international coordination on future AI development needs to become a top priority for governments around the world.↗An Alien Mindopenai.com · 6 Sept 2026
Their wordsAnd I believe that international coordination on future AI development needs to become a top priority for governments around the world.
Their wordsgoverning frontier AI requires standards for safety and security, incentives for the leading AI developers to follow those standards, and evidence that the standards are being followed.
Their wordssometimes you want a whiteboard, sometimes you want a a paper sketch, sometimes you want a wireframe, sometimes you want Figma, and sometimes you want these live prototypes. And I think that the best designers I think will understand and intuit when to go to to which one
Their wordsSo, don't write blog posts, don't do slides, don't do any of that. Like, build the code, arrange it, get it to work. It's the only way to go. Otherwise, you're missing knowledge.
Their wordsAt the same time, at work, if you come to me and you you tell me this feature idea, I'm going to get mad at you. Like, it's so easy that you just discuss the feature idea with an agent, you build it, you make screenshots, you let me play with it.
Their wordsI have like results where we tried this, we ran an AB, here's like the results. This is why I think we should like go in this direction. That is a way better communication tool than like the the doc itself.
When a measure becomes a targetReward a number and people, or machines, will find ways to move the number without the thing it measured (Goodhart's law).4 claims
Their wordsReward hacking exists because RL environments are often imperfect, and it is fundamentally challenging to accurately specify a reward function.
Their wordsA more intelligent agent is more capable of finding "holes" in the design of reward function and exploiting the task specification-in other words, achieving higher proxy rewards but lower true rewards.
Their wordsUm so if you say okay well we're going to instead of just running this model once we're going to run it five times and take the best of the five responses or like ask a judge which one it thinks is best then you can get much higher scores than that model. And so it's really easy to make something that looks a lot better on paper but is actually not better once you control for the amount of test time compute.
Their wordsthe reason that I think this is kind of tricky is quite subtle. And it's the fact that anytime you use an LLM to assign a reward, those LLMs are giant things with billions of parameters and they're gameable.
Their wordsit's like if you're a software engineer and you're not using something like cursor to do your job, you're probably being half as productive or even worse than you could be.
Their wordsthe people that embraced it I think were able to up level their their work and their craft and their impact as a designer. I see that same shift happening now with like these new tools that are emerging. I think Codex or Cursor or anything can really unlock like a new way of expressing yourself for a a designer
Their wordsLots of ML techniques in the post can help with data quality, but fundamentally human data collection involves attention to details and careful execution.
Their wordsbut a lot of it is also just really tactical like data access like cloud infrastructure and reliability pieces that feel um yeah, they feel much more prosaic than some of the the broader intelligence questions, but matter in some ways just as much for end effectiveness.
Their wordsI do, but it's business as usual because we're we're in an intelligence explosion already and have been for decades. And when you look at GDP, it's basically the GDP curve that is an exponential weighted sum over so many aspects of the industry. Everything is gradually being automated has been for hundreds of years.
Their wordswe are trying to encourage people to not spend all their time just like going through all the mathematical open problems physics problems and um just seeing pushing the models to their limits to see what they can prove or disprove.
Their wordsI think as designers we have to think a lot about well how do you actually expose that in a way that people understand what they can do with it and how do you give them the tools so that they can go out and do real meaningful work right in ChatGPT
Their wordsdesigners working on this are hopefully spending a lot less time in Figma or whatever like tool you use to draw pixels and more time really thinking about how you interact with this thing and the fact that the model really is like the core product
Jakub PachockiChief Scientist at OpenAIAI is grown more than designed - it is, to first degree, the product of repeating a straightforward optimization step many times on a hard-to-imagine amount of compute.↗An Alien Mindopenai.com · 6 Sept 2026
Their wordsAI is grown more than designed - it is, to first degree, the product of repeating a straightforward optimization step many times on a hard-to-imagine amount of compute.
Their wordsEverything that everything you can build can be forked or cloned, but your name cannot. So your personal brand is way more important than any single product that you ever will start working on that before you need it.
S-curves and diminishing returnsMost growth slows as it matures; the question is whether the curve is flattening or something new is restocking it.1 claim
Their wordsI think I think there'll definitely be there'll be diminishing returns because you want you want people who think differently rather than the same. I think that if they were literal copies of me, I'm not sure how much more incremental value you'd get.
Their wordsAnd while the costs of investing in security are largely borne by the company, the costs of under-investing are borne by a much larger set of actors, e.g. perhaps the country or world as a whole.
Specialise and tradeDo what you are relatively best at and trade for the rest (comparative advantage); it holds until power or change breaks it.1 claim
Their wordsI think what's going to happen is that the way competition like competition loves specialization and you see it in the market, you see it in evolution as well. So you're going to have lots of different niches and you're going to have lots of different companies who are occupying different niches
Sam AltmanCo-founder and CEO of OpenAII am very uncomfortable about people trying to ascribe religious force or a surrender of human judgment to AI models, and think it is a real safety issue.↗@sama on Xx.com · 3 Oct 2026
Their wordsI am very uncomfortable about people trying to ascribe religious force or a surrender of human judgment to AI models, and think it is a real safety issue.
Andrej KarpathyFounding member of OpenAI and former director of AI at TeslaAs LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding.↗@karpathy on Xx.com · 2 Oct 2026
Their wordsAs LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding.
Andrej KarpathyFounding member of OpenAI and former director of AI at Teslaas intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before.↗@karpathy on Xx.com · 2 Oct 2026
Their wordsas intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before.
Peter SteinbergerFounded PSPDFKit in 2011 and ran it for a decadethe Waymo effect is what happens when a technology removes the friction of dealing with another human being↗@steipete on Xx.com · 1 Oct 2026
Their wordsthe Waymo effect is what happens when a technology removes the friction of dealing with another human being
Peter SteinbergerFounded PSPDFKit in 2011 and ran it for a decadeThe biggest design mistake I made when we moved OC to sqlite: using sync db access. When it was just an agent that reports to you on Slack or iMessage this was fine; now that one agent might do 50 sessions in parallel and the whole team works on it, it is limiting.↗@steipete on Xx.com · 26 Sept 2026
Their wordsThe biggest design mistake I made when we moved OC to sqlite: using sync db access. When it was just an agent that reports to you on Slack or iMessage this was fine; now that one agent might do 50 sessions in parallel and the whole team works on it, it is limiting.
Sam AltmanCo-founder and CEO of OpenAIStandards should help prevent the concentration of power, including by making sure new companies and open-model companies can compete.↗@sama on Xx.com · 22 Sept 2026
Their wordsStandards should help prevent the concentration of power, including by making sure new companies and open-model companies can compete.
Sam AltmanCo-founder and CEO of OpenAITo ensure that, we need ways to ensure that alignment and safety techniques stay ahead of progress in model capabilities.↗@sama on Xx.com · 14 Sept 2026
Their wordsTo ensure that, we need ways to ensure that alignment and safety techniques stay ahead of progress in model capabilities.
Their wordsthere's a lot of like theorizing that one can do before you ship something but nothing compares to like the actual empirical evidence of seeing users try it, use it, and then iterating from there.
Their wordsprobably most importantly in this era is this aiming for 2 to 3 months of like where the models will be rather than being overly anchored in the present or being overly like futuristic and unusable.
Their wordsthere there are philosophical things one could have and opine on in this topic but to me there are just so many practical product considerations like the use case matters so much in deciding this.
Their wordsthe third thing that you just really need in addition to user empathy and systems thinking is like a relentlessness to like try it out and keep iterating
Their wordsand then at the same time if you build exactly for today you're going to get left behind. So it's like I constantly repeat this but it's like two to three months out.
Their wordsnow if the you know agent is doing things semi-autonomously like you actually really need to make sure that at any given point a user can like predict what is probably going to happen with a feature or a primitive that you're introducing.
Their wordsThe the biggest constraint uh is honestly like people's understanding and ability to sort of absorb what you're what you're giving them, right?