GPT-3, every mention
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every year anyone Elad Gil 13Winston Weinberg 8Noam Brown 6Matei Zaharia 6Emad Mostaque 5Sal Khan 3Jared Quincy Davis 3Ilya Sutskever 3Dr. Percy Liang 3Sarah Guo 2
Verbatim, from the transcripts: the passages where GPT-3 comes up
Chasing Trillion-Dollar Companies, Founder Ambition, Token Budgets, & Regulatory Capture
Really Big Test-Time Compute in AI Changes Benchmarks, Safety and Research with OpenAI's Noam Brown
- ▶ 0:00 Noam Brown With GPT-III, you couldn't scale test time compute. 2 times in the scene
- ▶ 3:24 Noam Brown I mean, it's true in GPT-III land back in 2022, the models couldn't really think productively for that long, and so you could just run them until they plateau.
- ▶ 12:42 Noam Brown Like, with GPT-III, you couldn't scale test time compute. 2 times in the scene
- ▶ 14:55 Noam Brown So again, with GPT-III, if you wanted to run it for, you know, a week, there's really not much you could do to scaffold it into something useful that could actually run for a week.
No Priors Ep. 142 | With Harvey Co-Founder and President Gabe Pereyra
- ▶ 0:51 Gabe Pereyra and I think GPT-III to GPT-IV was such a big model jump that the intuition at the time was just give the model to lawyers and have them play with it.
- ▶ 31:09 Elad Gil And so I remember, are you showing side by side GPT-IV versus IV and what you were doing worked on IV, but not on III. 3 times in the scene
No Priors Ep. 141 | With Sunday Robotics Co-Founders Tony Zhao and Cheng Chi
- ▶ 1:51 unnamed speaker It's like, we know there's sign of life for the algorithms people are picking, but people don't know if we have more data, like what happened to GPT-II, GPT-III, what will happen.
No Priors Ep. 138 | The Best of 2025 (So Far) with Sarah Guo and Elad Gil
- ▶ 0:39 Winston Weinberg And what had happened was he showed me GPT-III, which at the time was, you know, public. 2 times in the scene
No Priors Ep. 118 | With Anthropic Co-Founder Ben Mann
No Priors Ep. 116 | With Sarah and Elad
No Priors Ep 106 | With GitHub CEO Thomas Dohmke
No Priors Ep. 103 | With Vevo Therapeutics and the Arc Institute
- ▶ 14:16 Nima Alidoust GPT-III was, I think, half a trillion tokens.
- ▶ 55:50 Nima Alidoust I think it's, if you actually go a little deeper and you talk about different domains, I think in the protein, protein models, we are past GPT-III.
No Priors Ep. 101 | With Harvey CEO and Co-Founder Winston Weinberg
- ▶ 1:08 Winston Weinberg And what had happened was he showed me GPT-III, which at the time was, you know, public. 3 times in the scene
- ▶ 5:20 Winston Weinberg And the, the big moment for me was just the jump between GPT-III and GPT-IV. 3 times in the scene
- ▶ 18:03 Sarah Guo Um, I, I think it takes a, like a particular attitude to play with GPT-III and then as a, you know, young lawyer be like, we should do this versus like be threatened by it.
No Priors Ep. 86 | With Sarah Guo & Elad Gil
No Priors Ep. 85 | CEO of Braintrust Ankur Goyal
- ▶ 20:54 Ankur Goyal Like, you, you try GPT-III for the first time, and first of all, you know, back then at least, um, it was kind of snarky, and so that was a little bit irritating, um, and it, it was also just way better at everything than anything you…
No Priors Ep. 79 | With Magic.dev CEO and Co-Founder Eric Steinberger
- ▶ 22:34 Eric Steinberger Like, hi, I made GBP-III.
No Priors Ep. 77 | With Foundry CEO and Founder Jared Quincy Davis
- ▶ 25:00 Jared Quincy Davis How this looked at least a couple of years ago is an evolving thing, but how it's looked, you know, the example of GPT-III in its training is kind of an interesting one. 3 times in the scene
No Priors Ep. 75 | With Co-Founder and CEO of Brex Pedro Franceschi
- ▶ 4:49 Pedro Franceschi Probably 18 months ago, I think right after ChatGPT launched, we, we started to just play with, um, you know, ChatGPT online and, and I had played with the GPT three, uh, through the APIs before ChatGPT was out.
No Priors Ep. 68 | With Zapier Co-Founder and Head of AI Mike Knoop
- ▶ 17:07 Mike Knoop Um, and I, it felt, I think it gave us some confidence that we had like to the best of our abilities, fully explore the search space of what, uh, call a GP three at that point, um, you know, intelligence style model could do.
No Priors Ep 66 | With Y Combinator President and CEO Garry Tan
No Priors Ep. 65 | With Scale AI CEO Alexandr Wang
- ▶ 6:34 Alexandr Wang yeah, they integrate this, uh, all of this technology into GPT-III with, uh, there was a paper InstructGPT, which is kind of the precursor to ChatGPT that we worked with them on. 2 times in the scene
No Priors Ep. 63 | With Sarah Guo and Elad Gil
No Priors Ep.61 | OpenAI's Sora Leaders Aditya Ramesh, Tim Brooks and Bill Peebles
- ▶ 23:58 Bill Peebles Yeah, so as we look, you know, forward to, you know, like the GPT-II or GPT-III moments, I think we're really excited for very complex long-term physical interactions to become much more accurate.
No Priors Ep. 51 | With Notion CEO Ivan Zhao
- ▶ 13:09 Ivan Zhao Um, on GPT-III, even saw GPT-III, it feels like, what is this thing useful for? 2 times in the scene
- ▶ 14:55 Elad Gil Because to your point, I think a lot of people weren't really thinking about AI too much until chat GPT and GPT four came out and there was a period of time where three and then 3.5, and you start to see the capabilities incrementing up…
No Priors Ep. 48 | With Covariant CEO Peter Chen
- ▶ 26:51 Peter Chen Like, which is kind of the thing that we see from the large language model world, like when you go from GPT-III to GPT-IV, when you go from Cloud-I to Cloud-II, like you kind of like see this step change, improvement in reliability in…
No Priors Ep. 45 | With Reid Hoffman
No Priors Ep. 41 | With Imbue Co-Founders Kanjun Qiu and Josh Albrecht
- ▶ 1:36 Kanjun Qiu And around that time, some of our housemates were building GPT-III and, uh, we were seeing like, oh, scaling works.
No Priors Ep. 39 | With OpenAI Co-Founder & Chief Scientist Ilya Sutskever
- ▶ 13:02 Ilya Sutskever GPT-I started to show very interesting signs of life, and that led us to doing GPT-II, and then ultimately GPT-III. 2 times in the scene
- ▶ 13:24 Elad Gil I mean, for me, the big wake up moment to your point was GPT-II to GPT-III transition where you saw such a big step function and capabilities.
- ▶ 17:25 Ilya Sutskever I'm not talking about the difference between, not only the difference between, let's say you can look at the difference between GPT-III and GPT-III.
No Priors Ep. 33 | With Replit's CEO & Co-Founder Amjad Masad
- ▶ 4:01 Amjad Masad But obviously GPT-III was like, okay,
- ▶ 12:15 Amjad Masad So when Microsoft did it, like, they took GPT-III, they distilled it down, and they hosted it on their own infrastructure.
No Priors Ep. 30 | With Vercel CEO Guillermo Rauch
- ▶ 14:46 Guillermo Rauch So when, when GPT-III came out and folks were sort of like dying to integrate it and launch it, OpenAI is by far the most popular backend.
No Priors Ep. 28 | With Khan Academy’s Creator Sal Khan (Japanese Version)
No Priors Ep. 28 | With Khan Academy’s Creator Sal Khan
No Priors Ep. 18 | With Kevin Scott, CTO of Microsoft
- ▶ 14:51 Elad Gil I think one of the stunning things about the partnership in some sense was the timing, because if I remember correctly, Microsoft made its first investment or its first significant investment in OpenAI right after GPT-II launched or right…
- ▶ 18:11 Kevin Scott And it was the computing environment that GPT three was trained on and.
No Priors Ep. 17 | With Karan Singhal
- ▶ 2:12 Karan Singhal Uh, so this is kind of the technology, representation learning in particular is kind of the technology underlying a lot of the, you know, deep neural networks of today, including GPT-III, GPT-IV, and so on.
No Priors Ep. 16 | With Mustafa Suleyman, Founder of DeepMind and Inflection
- ▶ 23:56 Mustafa Suleyman And then to be honest, like when GPT-III came out, that was like a big revelation. 2 times in the scene
No Priors Ep. 3 | With Stability AI’s Emad Mostaque
- ▶ 12:57 Emad Mostaque I think things like the chinchilla paper, uh, that's the sixty-seven billion parameter model that's as performant as GPT-III at one hundred seventy-five billion, are important in that, because it said that training more is important. 2 times in the scene
- ▶ 28:22 Emad Mostaque Um, you kind of basically either use GPT-III or use those. 3 times in the scene
No Priors Ep. 2 | With Runway ML’s Cristobal Valenzuela
- ▶ 13:25 Cristobal Valenzuela And we've seen this with, like, language models, like, GPT-III has been around for some time, but it took, like, a collective 24 hours of, 24 months of, like, just tinkering and experimenting to truly understand, like, okay, where can you…
No Priors Ep. 11 | With Matei Zaharia, CTO of Databricks
- ▶ 7:51 Matei Zaharia Uh, open AI published a GPD three paper, which is called language models are few shot learners. 5 times in the scene
- ▶ 10:56 Matei Zaharia And before that, whenever I talked to my, you know, NLP, like researcher friends, they thought that that creativity was the thing that required a lot of parameters from something like GPT-C.
No Priors Ep. 10 | With Copilot's Chief Architect and founder of Minion.AI Alex Graveley
- ▶ 15:16 Alex Graveley So it was definitely not a DaVinci-sized model, that's for sure.
No Priors Ep. 9 | With Perplexity AI’s Aravind Srinivas and Denis Yarats
- ▶ 9:12 Aravind Srinivas Did GPT-III.
No Priors Ep. 7 | With Stanford Professor Dr. Percy Liang
- ▶ 1:10 Dr. Percy Liang Kind of taken off in a, in a sense, um, maybe in a, not a way that I would necessarily expect, uh, but with a coming out of, uh, large language models such as GPT-III, it's truly kind of astonishing how much of the structure of language…
- ▶ 2:14 Dr. Percy Liang Yeah, there was a very decisive moment, and that moment was when GPT-III came out.
- ▶ 19:31 Dr. Percy Liang I think going back to GPT-III, I think in context learning is something that, um, surprised many people, including me.