OpenAI o1, every mention

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Verbatim, from the transcripts: the passages where OpenAI o1 comes up

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▶ 11:12 Clay Bavor And I, I think actually one of the most underrated developments of the past few years was the O-one model from OpenAI in late 2024, where if you recall, there was a chart that showed, okay, test time, compute, or in amount of inference…

▶ 1:16:07 Anish Acharya So even the ideas that were obviously good but not working, suddenly, many of them suddenly started working with the advent of O-one and Deep Seek.

▶ 10:53 Jonathan Siddharth O-one dropped in December, DeepSeq launched in Jan, and now it's all about aural environments.
▶ 1:04:24 Jonathan Siddharth O-one came out in December and DeepSeek came out in Jan.

▶ 41:04 Aatish Nayak I think that whole paradigm was created for the, the, the Silicon Valley or like tech audience, because everyone loved playing around with like, oh, one versus GP four versus, you know, these models.

▶ 27:11 Andrew Feldman But OpenAI's work on O-one shows me that the scaling laws, certainly for inference, are fully functional, right?

▶ 16:47 Adarsh Hiremath You're, you're already seeing this with O-one, O-three, the deep seek models.

▶ 36:48 George Sivulka Right now you actually, so OpenAI is starting to do this with O-one, where they'll have a model recursively think about a question over and over and over again before it produces an answer. 2 times in the scene
▶ 38:19 George Sivulka Uh, but for other types of documents, like OWAN or OpenAI-for-L works better.

▶ 49:19 Reid Hoffman It's like, oh, if, if, if it were, we haven't seen anything, by the way, we did see GPT-O-I, right?

▶ 1:01 Harry Stebbings When we look forward, is the future of OpenAI more models like O-one, or is it more larger models that we would maybe have expected of old? 2 times in the scene
▶ 12:44 Sam Altman There's a huge amount of infrastructure and scaffolding to build for sure, but I think O-one points the way to a model that is capable of doing great agentic tasks.
▶ 15:10 Harry Stebbings Um, how will vision capabilities scale with new inference time paradigm set by O-one?
▶ 15:48 Sam Altman It's really easy to copy something you know works, and one of the reasons that people don't talk about about why it's so easy is you have the conviction to know it's possible, and so after, after a research lab does something, even if you…
▶ 25:35 Sam Altman And then in this shift to a one and the idea of reasoning models, uh, that was something we had been excited about for a long time, but it was like a long and winding road of research to get here.

▶ 15:10 Mamoon Hamid Going through all these demos of cool products that are coming out, like O-one and Strawberry, and realize that their positioning is, we can't do everything.

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