We launched ChatGPT Agent today! When tested on a variety of REAL work tasks (expert tasks that might take >10h), we found that its output was human-quality almost 50% of the time Agent puts o3's intelligence into practice - try your work tasks and let us know how it goes!

Last year I posted a video about a ~200,000 year old denisovan genome. Today, we got a pre-print… and some beautiful figures. It’s seeming more and more likely that our divergences have been underestimated due to the hybridization events that occurred after.

It’s time for vibe-lifeing

To summarize this week: - we released general purpose computer using agent - got beaten by a single human in atcoder heuristics competition - solved 5/6 new IMO problems with natural language proofs All of those are based on the same single reinforcement learning system

watching chatgpt agent use a computer to do complex tasks has been a real "feel the agi" moment for me; something about seeing the computer think, plan, and execute hits different.

Huge thanks to @gracejkim9 Elizabeth Proehl @michelelwang @marwan_aljubeh @rachelds__ @tejalpatwardhan for putting this eval together, letting us measure Agent's capabilities in realistic work settings 💪

working on bringing that pass@16 number down to pass@1 💪

Great post from @xikun_zhang_, who did a great job making sure collaboration with Agent feels good!

https://t.co/Q4hAihIPrL

Join us in making the next generation of agents both capable and safe! We think that agents will be a big part of how we interact with AI in the future, making it critical that we think carefully about how we build them.

It's deeply concerning that one of the best AI researchers I've worked with, @kaicathyc, was denied a U.S. green card today. A Canadian who's lived and contributed here for 12 years now has to leave. We’re risking America’s AI leadership when we turn away talent like this.

been waiting years for solomonoff maximalism to become a populist position. god bless

LLMs have complex joint beliefs about all sorts of quantities. And my postdoc @jamesrequeima visualized them! In this thread we show LLM predictive distributions conditioned on data and free-form text. LLMs pick up on all kinds of subtle and unusual structure: 🧵

We launched a research preview of Operator today! It's a model built on top of GPT-4o that can control a browser — it is very early and will make mistakes, but it's a taste of things to come https://t.co/eYQbIqI1Lw

Today OpenAI announced o3, its next-gen reasoning model. We've worked with OpenAI to test it on ARC-AGI, and we believe it represents a significant breakthrough in getting AI to adapt to novel tasks. It scores 75.7% on the semi-private eval in low-compute mode (for $20 per task

Why don't we measure probabilities in degrees? https://t.co/uqLw9f5C2Y

#NYFW FW24 @nvidia 🔋✨@tessybarton

An intuition for relative memory access times (scaled 10^10): Reg: 2 sec - Take from shelf Cache: 6½ min - Get from garage DDR Main: 20 min - Go to store DDR CXL: 1hr Far Mem: 8hr SSD: 6 days - Order online Spinning Disk (3ms): 1yr! Via @dylan522p & @SemiAnalysis_

I had the joy and the honor of being invited to give the @harveymudd commencement address this year. In the vector space of all advice, I explore a 5-dimension subspace orthogonal to the “follow your dreams” vector. YouTube Link: https://t.co/Aw2ZlgR2ql

GPT-4o would not have happened without the vision, talent, conviction, and determination of @prafdhar over a long period of time. that (along with the work of many others) led to what i hope will turn out to be a revolution in how we use computers.