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Pushing the frontier of cost-effective reasoning.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

What will really matter in the long run? That’s the question we tackle each year as we compile this annual list.

We present phi-4, a 14-billion parameter language model developed with a training recipe that is centrally focused on data quality. Unlike most language models, where pre-training is based primarily o...

Debaters: Sebastien Bubeck (OpenAI), Tom McCoy (Yale) Discussants: Pavel Izmailov (Anthropic), Ankur Moitra (MIT) Moderator: Anil Ananthaswamy

About the Talk:Fields Medal-winning mathematician Terence Tao makes his second appearance in the OpenAI Forum alongside OpenAI’s SVP of Research, Mark Chen to explore a future where mathematics and ar...

Fields Medalist Terence Tao explains how proof checkers and AI programs are dramatically changing mathematics

We consider the problem of finding the initial vertex (Adam) in a Barabási--Albert tree process $(\mathcal{T}(n) : n \geq 1)$ at large times. More precisely, given $ \varepsilon>0$, one wants to outpu...

We consider root-finding algorithms for random rooted trees grown by uniform attachment. Given an unlabeled copy of the tree and a target accuracy $\varepsilon > 0$, such an algorithm outputs a set of...

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