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Exciting to share what i've been working on in the past few months! o3 and o4-mini are our first reasoning models with full tool support, including python, search, imagegen, etc. it also comes with the best VISUAL reasoning performance up-to-date!

The race for LLM "cognitive core" - a few billion param model that maximally sacrifices encyclopedic knowledge for capability. It lives always-on and by default on every computer as the kernel of LLM personal computing. Its features are slowly crystalizing: - Natively multimodal

one of the things we need for ai to mature is a more efficient capital allocation: - what if i buy a large cluster but find no use for it? - what if i sign a nine figure contract with a company that fails to deliver me a good model? - what if I pay $100M for a researcher who

Exciting implications for environment design, search, and science 🙂 A lot of good science is smart experimental design resulting in a precise hypothesis that can be clearly verified Today we have systems like AlphaEvolve that can optimize easy-to-verify systems -- how can we

exciting progress in rich, multi-step, tool use environments for RL on your codebase! we should think of more ways to connect your personal use cases to frontier models to ground them in real tasks excited to try out Asimov, congrats to Misha Laskin Ioannis & co for the

I surveyed 30+ AI researchers, builders, and VCs on what actually matters in AI right now: what what they pay for, companies to invest in, hot takes, etc. Here's what AI insiders think 2025+ will bring: