OpenAI, every mention
49 scenes (2024), the whole family · ← back to OpenAI
tap a year for its mentions
every year 2024 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
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