O3 and the Next Leap in Reasoning with OpenAI’s Eric Mitchell and Brandon McKinzie

No Priors: Artificial Intelligence | Technology | Startups

Conviction에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Conviction 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

5M ago 39:13

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This week on No Priors, Elad and Sarah sit down with Eric Mitchell and Brandon McKinzie, two of the minds behind OpenAI’s O3 model. They discuss what makes O3 unique, including its focus on reasoning, the role of reinforcement learning, and how tool use enables more powerful interactions. The conversation explores the unification of model capabilities, what the next generation of human-AI interfaces could look like, and how models will continue to advance in the years ahead.

Show Notes:

0:00 What is o3?

3:21 Reinforcement learning in o3

4:44 Unification of models

8:56 Why tool use helps test time scaling

11:10 Deep research

16:00 Future ways to interact with models

22:03 General purpose vs specialized models

25:30 Simulating AI interacting with the world

29:36 How will models advance?

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