OpenAI o1, every mention
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tap a year for its mentions
every year anyone Harj Taggar 30Diana Hu 13Garry Tan 10Jared Friedman 7Bob McGrew 3Sam Altman 2François Chollet 1
Verbatim, from the transcripts: the passages where OpenAI o1 comes up
François Chollet: Why Scaling Alone Isn’t Enough for AGI · Y Combinator
- ▶ 18:51 François Chollet In particular, the OpenAI O-one and then O-three models, which by the way, they were demonstrated by OpenAI on Arc, because it was the one unsaturated reasoning benchmark that was really showing that this model was different.
The FDE Playbook for AI Startups with Bob McGrew · Y Combinator
- ▶ 0:36 Harj Taggar Bob was an early engineer at PayPal, an early executive at Palantir, and was recently chief research officer at OpenAI, where he led the development of ChatGPT, GPT-IV, and the O-One reasoning model.
Bob McGrew: AI Agents And The Path To AGI · Y Combinator
- ▶ 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…
- ▶ 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
- ▶ 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
- ▶ 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
- ▶ 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.
- ▶ 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
- ▶ 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
How To Build The Future: Sam Altman · Y Combinator
- ▶ 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
- ▶ 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
- ▶ 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.
- ▶ 10:59 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. 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
- ▶ 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
- ▶ 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