OpenAI, every mention
214 scenes, the whole family · ← back to OpenAI
tap a year for its mentions
every year anyone Garry Tan 114Harj Taggar 64Sam Altman 37Diana Hu 34Craig Cannon 21Calvin French-Owen 20Jared Friedman 19François Chollet 11Aravind Srinivas 11Raza Habib 10
Verbatim, from the transcripts: the passages where OpenAI comes up
Sam Altman: The Future of OpenAI, ChatGPT's Origins, and Building AI Hardware · Y Combinator
- ▶ 8:18 Garry Tan Uh, you know, I've heard rumors that MCP is coming to OpenAI. 2 times in the scene
- ▶ 13:33 Garry Tan You know, one of the classic questions is, you know, how do I, uh, start a startup that doesn't get run over by open AI? 6 times in the scene
- ▶ 17:50 Sam Altman I can say this one because it got publicized, um, in early, not early, a few years into OpenAI, where Elon sent us this really mean email.
- ▶ 19:29 Sam Altman But now you start to see things where you can like really give a task to Codex, for example, um, or to deep research, and you have this thing go off and do a bunch of stuff and come back to you with like a proposal.
- ▶ 27:14 Sam Altman When I think back about the OpenAI story, I often think about just the kind of key few tens of people that did the amazing work that led to what we all have now.
- ▶ 32:15 Garry Tan Let's talk about, um, being CEO of OpenAI. 2 times in the scene
- ▶ 34:43 Sam Altman I, I cannot recall ever thinking until like after starting OpenAI that they were going to be so obviously related. 2 times in the scene
Andrej Karpathy: Software Is Changing (Again) · Y Combinator
- ▶ 6:42 Andrej Karpathy So, um, LLM labs like OpenAI, Gemini, Anthropica, et cetera, they spend CapEx to train the LLMs, and this is kind of equivalent to building out a grid, and then there's OpEx to serve that intelligence over APIs to all of us.
Cursor CEO: Going Beyond Code, Superintelligent AI Agents, And Why Taste Still Matters · Y Combinator
- ▶ 14:42 Michael Truell The other thing that got us really excited was seeing research come out of open AI and other places that showed there were these very predictable, um, natural laws that showed if you scaled up the data and you scale up the compute that…
- ▶ 20:31 Michael Truell Um, we, I mean, being programmers ourselves and being inspired by products like Copilot and, uh, also papers like the early codex papers. 2 times in the scene
State-Of-The-Art Prompting For AI Agents · Y Combinator
How To Design Better AI Apps · Y Combinator
- ▶ 7:11 Tom Blomfield And so, I think, like, Google were really on the cutting edge of this transformer technology, and were like, leapfrogged by OpenAI, just because I was too cautious to put stuff out there.
How To Get The Most Out Of Vibe Coding | Startup School · Y Combinator
- ▶ 10:19 Tom Blomfield Maybe it's one of the open AI models.
Figma's Dylan Field: Exploring the idea maze, vibe coding, and the power of “locking in” · Y Combinator
Vibe Coding Is The Future · Y Combinator
- ▶ 6:49 Jared Friedman Well, O three is infinitely better at debugging than
AI Interfaces Of The Future | Design Review · Y Combinator
- ▶ 14:35 Aaron Epstein Okay, so I get a bunch of, uh, companies that I'm sure many of the audience has heard of, uh, OpenAI, Anthropic, Perplexity, um, and it's got some information like, uh, HQ location and industry and website URLs. 2 times in the scene
How To Build The Future: Aravind Srinivas · Y Combinator
- ▶ 1:04 Aravind Srinivas Life really changed when I got to do an internship at OpenAI, and Ilya Sutskiver was there. 2 times in the scene
- ▶ 3:50 David Lieb How did you get the kind of activation energy to quit your great job at OpenAI and go do that?
- ▶ 8:17 Aravind Srinivas We tried to do it with the OpenAI codex models.
- ▶ 11:55 Aravind Srinivas OpenAI even had a bot when I worked there called the Truthbot, which John, John built with this team.
- ▶ 31:08 David Lieb Um, probably same at OpenAI, probably the same at Anthropic. 2 times in the scene
The Right (And Wrong) Way To Spend Money At Your Startup · Y Combinator
- ▶ 28:09 Gustaf Alströmer There's open AI.
Bob McGrew: AI Agents And The Path To AGI · Y Combinator
- ▶ 0:48 Garry Tan Bob McGrew, formerly Chief Research Officer at OpenAI. 2 times in the scene
- ▶ 0:58 Garry Tan You know, what was that like early at OpenAI? 4 times in the scene
- ▶ 2:04 Garry Tan What were some of the earliest things that you remember working on and how did that play into what everyone knows OpenAI to be now? 5 times in the scene
- ▶ 4:59 Garry Tan How is it that it was OpenAI that, you know, made the right decisions and sort of found, you know, large language models first? 4 times in the scene
- ▶ 7:11 Garry Tan Like, I mean, what was it about, um, open AI where you were able to sort of avoid that? 4 times in the scene
- ▶ 11:45 Bob McGrew The thing that's been really exciting, of course, is, you know, going from, ah, the LLM scaling of pre-training, where you're just bringing bigger and bigger corpuses and trying to predict the next token, and shifting gears, and using…
- ▶ 11:45 Bob McGrew The thing that's been really exciting, of course, is, you know, going from, ah, the LLM scaling of pre-training, where you're just bringing bigger and bigger corpuses and trying to predict the next token, and shifting gears, and using…
- ▶ 11:45 Bob McGrew The thing that's been really exciting, of course, is, you know, going from, ah, the LLM scaling of pre-training, where you're just bringing bigger and bigger corpuses and trying to predict the next token, and shifting gears, and using…
- ▶ 13:49 Garry Tan Things are basically playing out the way that original post on the OpenAI website, um, sort of described it.
- ▶ 13:56 Garry Tan It's, uh, you know, reasoners are here, and then, uh, I'm hearing a ton about innovators, so taking a thing like, uh, O-three or, you know, maybe when O-three pro comes out, that'll be a real moment where you can, uh, hook that up to a bio… 2 times in the scene
- ▶ 16:14 Bob McGrew This is a really hard problem with O one with O three, you know, you're getting longer and longer chains.
- ▶ 17:15 Bob McGrew And so I think we're going to see this a lot going forward, especially if you, if you look at, you know, the Sonnet versus Haiku, you know, Gemini versus Gemini flash, you know, O-one versus O-one mini, four O-mini, um, every lab has…
Why The Next AI Breakthroughs Will Be In Reasoning, Not Scaling · Y Combinator
- ▶ 1:39 Jared Friedman Places where I think we have a unique perspective is that we were, we had a front row seat to the very beginnings of open AI because open AI basically spun out of YC. 5 times in the scene
- ▶ 3:12 Jared Friedman And I think is really connected to oh one, even when Sam came and spoke at our, at our, at our batch a year ago, 2 times in the scene
- ▶ 3:43 Harj Taggar One thing that really started to be at O-one, um, 2 times in the scene
- ▶ 4:21 Diana Hu It's fun, because we run this, um, hackathon with OpenAI, and Sam came over and judged the winners, and one of the participants was actually Chip Design.
- ▶ 5:50 Diana Hu But the thing that they demonstrated now with O-one was actually able to do the system design and component selection, which is crazy. 3 times in the scene
- ▶ 8:54 Diana Hu Into a format for O one. 4 times in the scene
- ▶ 10:25 Diana Hu There's another one that was similar in here in terms of reasoning for O. 2 times in the scene
- ▶ 12:30 Garry Tan Like, it would be sort of hard to see that maybe in the current version of O-one, but if the scaling laws hold, it seems entirely plausible that, you know, far more difficult engineering challenges such as, um, 3 times in the scene
- ▶ 14:26 Jared Friedman Diana, do you want to talk about the architecture and how they actually created O-one? 4 times in the scene
- ▶ 14:35 Diana Hu What they've been working for many years since the beginning of, uh, OpenAI, I think one of the inspirations is a lot of the work they did with Dota. 5 times in the scene
- ▶ 17:39 Jared Friedman And if you look at the actual preview, sorry, O-one O-one preview. 2 times in the scene
- ▶ 17:43 Jared Friedman And like, if you look at the performance as they released, like the full O-one model, which is coming out any day now is a huge step function above even O-one preview, which is what enabled all these incredible results at the hackathon.
- ▶ 17:54 Jared Friedman Sam was just telling us that like O-two and O-three are not far behind.
- ▶ 18:02 Garry Tan And O-one also is really opaque still. 2 times in the scene
- ▶ 22:13 Harj Taggar And O-one makes it quite easy or easier now, right? 7 times in the scene
- ▶ 25:16 Harj Taggar And the idea they actually pivoted to initially, which they raised a seed round for, um, was helping companies fine tune, um, open source models so that they could get to like equivalent performance, um, uh, as, you know, at the time it… 2 times in the scene
- ▶ 30:03 Harj Taggar But like now they're at like, 15% and that's with like O-one preview alone. 2 times in the scene
- ▶ 31:50 Diana Hu So we've been talking a lot about the kinds of companies and ideas that get this wave of uplift from this model improvement for O-one. 4 times in the scene
- ▶ 32:11 Diana Hu Because they're getting, they might just get deprecated from the improvements of O-one, O-two, O-three.
How To Build The Future: Sam Altman · Y Combinator
- ▶ 0:00 Sam Altman We said from the very beginning we were gonna go after AGI at a time when in the field you weren't allowed to say that because that just seemed impossibly crazy. 3 times in the scene
- ▶ 2:33 Sam Altman I think already, uh, even a system like O-one is capable of doing, like, quite a lot of things. 2 times in the scene
- ▶ 12:50 Garry Tan You know, how did you identify the initial people you wanted involved in, you know, YC research and OpenAI? 2 times in the scene
- ▶ 20:23 Sam Altman Maybe that well understood about OpenAI is we had just this, even when we were like pretty unknown, we had a crazy talented team of researchers.
- ▶ 23:51 Sam Altman You know, we kind of went right to this, but obviously the story of OpenAI is that we did a lot of things that helped us develop some scientific understanding, but we're not on the short path. 3 times in the scene
- ▶ 34:56 Sam Altman It was definitely helpful that I could just, like, write the early checks for OpenAI, and I think it would have been hard to get somebody else to do that at the very beginning.
- ▶ 36:57 Garry Tan Um, it's been a great year for OpenAI, not without some drama. 4 times in the scene
- ▶ 40:03 Garry Tan Um, and then we actually just had our O-one hackathon at YC. 3 times in the scene
The 10 Trillion Parameter AI Model With 300 IQ · Y Combinator
- ▶ 0:00 Harj Taggar If O-one is this magical, what does it actually mean for founders and builders? 2 times in the scene
- ▶ 0:04 Harj Taggar One argument is it's bad for builders because maybe O-one is just so powerful that OpenAI will just capture all the value. 3 times in the scene
- ▶ 0:55 Garry Tan We are sort of in this moment where OpenAI has raised the largest venture round ever. 3 times in the scene
- ▶ 3:39 Garry Tan I think there's one interesting aspect to this, which is clearly the current generation state-of-the-art models that are available, uh, especially given Owen chain of thoughts, um, they're sort of basically rival normal intelligence.
- ▶ 10:49 Garry Tan But GPT-IV itself, and for, you know, it became IV-O, OpenAI itself has now enabled distillation internal to its own API. 2 times in the scene
- ▶ 10:59 Garry Tan So you can use O-one, you can use even GPT-IV or IV-O to distill it down into a much cheaper model that's internal to them, like GPT-IV, IV-O-Mini.
- ▶ 13:50 Harj Taggar If we just take our, take OpenAI's latest fundraise off the table and the latest, like the O-one model off the table for a second, it would seem like amongst developers and builders, OpenAI was losing. 4 times in the scene
- ▶ 13:50 Harj Taggar If we just take our, take OpenAI's latest fundraise off the table and the latest, like the O-one model off the table for a second, it would seem like amongst developers and builders, OpenAI was losing. 2 times in the scene
- ▶ 14:16 Harj Taggar It seems like, or, 15% of the batch are already using O-one, even though it's not, like, fully available yet. 4 times in the scene
- ▶ 14:42 Diana Hu There's a bunch of open AI researchers and engineers working on it and it's only been about four hours of hacking and we already heard of, I already saw actually some demos as I was walking
- ▶ 15:53 Harj Taggar What's interesting for us to talk about is if O-one is this magical, what does it actually mean for founders and builders? 4 times in the scene
- ▶ 16:00 Harj Taggar And, uh, one argument is it's bad for builders because maybe O-one is just so powerful that OpenAI will just capture all the value and, um, everything that could be valuable and built on top of this stuff will just be owned by them. 2 times in the scene
- ▶ 20:53 Garry Tan If you treat OpenAI as the Google of the next 20 years, you want to invest in Google and all the things that Google enabled, like Airbnb.
- ▶ 22:30 Harj Taggar Another interesting thing about the O-one model is we were just saying originally ChatGPT was the only thing you could build on top of. 8 times in the scene
- ▶ 22:37 Harj Taggar OpenAI was the only game in town. 5 times in the scene
- ▶ 25:07 Harj Taggar But talking of consumer apps, I mean, the other thing that was striking about OpenAI is latest releases like this real-time voice API.
- ▶ 25:07 Harj Taggar But talking of consumer apps, I mean, the other thing that was striking about OpenAI is latest releases like this real-time voice API.
- ▶ 30:22 Harj Taggar It has all the developers, plus it has all the capital, plus it has all the access to, like, the inside track on OpenAI.
How To Price For B2B | Startup School · Y Combinator
- ▶ 4:52 Tom Blomfield Perhaps your costs are mainly open AI fees or something like that, and AWS fees, and that comes to something like 200,000 dollars. 3 times in the scene
The Truth About Building AI Startups Today · Y Combinator
- ▶ 0:17 Harj Taggar Are people worried about giving these datasets to OpenAI?
- ▶ 14:03 Harj Taggar Like, OpenAI, like, ChatGPT was expensive, and people wanted a 4 times in the scene
- ▶ 20:56 Harj Taggar Oh, these things are all just like wrappers on top of chat GPT and, um, open AI is going to like take all of that. 2 times in the scene
B2B Startup Metrics | Startup School · Y Combinator
- ▶ 17:17 Tom Blomfield We were running a, an AI customer service bot, and you're probably using something like OpenAI or Anthropic to power the core model behind that. 4 times in the scene
AI and the Future of Law: The 10 Year "Overnight" Success Story · Y Combinator
- ▶ 7:02 unnamed speaker They'd been experimenting with AI since 2016, but getting access to GPT-III and GPT-IV from OpenAI was the moment that allowed them to create their mega product, CoCouncil.
The REAL potential of generative AI · Y Combinator
- ▶ 4:38 Raza Habib If you look at what the difference is between ChatGPT or the most recent OpenAI Text DaVinci Three model, and, uh, what's been in the platform for two years and has not gotten as much attention, the difference is fine tuning. 4 times in the scene
- ▶ 14:19 Raza Habib Like the, you know, OpenAI for all the criticism, criticism they get, they actually have been pretty open and DeepMind have been pretty open. 6 times in the scene
Andrew Kortina of Venmo and Fin on Technological Determinism and Work's Relationship to Dignity · Y Combinator
- ▶ 42:26 Craig Cannon I mean, it's the same one that OpenAI is using right now.
Sam Altman on Choosing Projects, Creating Value, and Finding Purpose · Y Combinator
- ▶ 0:11 Sam Altman Open AI is going really well.
- ▶ 4:46 Craig Cannon In terms of choosing, I mean, this sort of transitions into choosing what to work on and how to create value, but in terms of establishing those metrics for, you know, so say you, say you have like, you know, YC, OpenAI, uh, and then the… 2 times in the scene
- ▶ 14:54 Sam Altman Um, but I think if you take one, one thing I've learned from OpenAI is if you sit down and say, like,
- ▶ 22:13 Sam Altman I mean, if this one thing works, like, if we do actually build AGI at OpenAI, that is more important than all of the innovation sum total in humanity so far. 2 times in the scene
A.I. Policy and Public Perception - Miles Brundage and Tim Hwang · Y Combinator
- ▶ 31:17 Miles Brundage So for example, at the Future of Humanity Institute, we have a lot of, uh, relationships with organizations like DeepMind and OpenAI and others, um, but, you know, we don't have, like, a ton of, you know, GPUs or TPUs here, uh, like,…
- ▶ 39:55 Miles Brundage And so, I mean, Paul Cristiano at OpenAI, for example, has a lot of really good blog posts, and, uh, you know, some of these ideas are in the paper, Concrete Problems and AI Safety, about, uh, you know, about the idea that, uh, you know,…
Uncut Interview with Sam Altman on Masters of Scale [Audio] · Y Combinator
- ▶ 18:14 Sam Altman You know, we do things that other investment firms would not, like fund basic income research, or support open AI, or fund non-profits, um, and so I think we got that right early, and that, and getting that right is really critical,…
Building Dota Bots That Beat Pros - OpenAI's Greg Brockman, Szymon Sidor, and Sam Altman · Y Combinator
- ▶ 0:19 Greg Brockman Um, at OpenAI, we, we see this sometimes, for example, we had a paper on this, uh, unsupervised, uh, learning, uh, where you train a, uh, a language model
- ▶ 5:45 Sam Altman So, so, so just to echo this, because I hear this come up all the time, people say it's like my dream to work at OpenAI, but I gotta go get an AI PhD, so I'll see you in like five or seven years. 3 times in the scene
- ▶ 15:42 Greg Brockman When software engineers join OpenAI, uh, that are just very surprising.
- ▶ 23:58 Sam Altman When was the last time that, ah, like an OpenAI employee beat the bot? 2 times in the scene
- ▶ 26:24 Greg Brockman And, uh, you know, this was actually a very exciting thing for everyone at OpenAI where, uh, so at the time what I was, I was kind of live, uh, uh, live slacking, uh, the updates of the game is like this person, you know, just said this…