It was a fun (and intense) sprint working on the early versions of our codex (agent) and training the codex (mini-latest) model with Hyung Won Chung fouad Rohan Nuttall, optimized for codex (cli)! 😅

Codex CLI keeps getting better. In the long run, I expect that "local" (e.g. Codex CLI) and "remote" (e.g. Codex) coding agents will come together — imagine their combination as a remote coworker who can also look over your shoulder. Excited for the future of programming!

If you already have plus or pro, it is very easy to try Codex CLI and you get free API credits. Give it a try for our latest codex mini model!

kache Going back from One to Zero is harder than going from Zero to One.

Differences in model quality are magnified with task difficulty. So if you work on harder problems, you benefit more from AI progress. Good forcing function to work on more challenging problems!

Woman has lingering sore throat. Doctor tells her to wait it out, ChatGPT suggests an ultrasound, which reveals…aggressive thyroid cancer. I tell all my friends and family - please get a second opinion on medical stuff from AI. It might save your life!

We have long been accustomed to planning life around a 30-year career. As our healthspan increases, that assumption is increasingly wrong. What would you do differently if your career were, say, 100 years instead of 30? Which options have you subconsciously given up because you

What we're seeing in AI will also happen in other technical fields. While AI’s expected impact is undeniably large, that's not unique; there are other hugely valuable areas, e.g. robotics, longevity. What truly differentiates AI is its rate of progress, specifically how it's

I often hear people say they believe the world will be vastly different in 5 years. Yet, many of them plan life and career as if things won’t change much. Why such discrepancy? Humans have bias towards downplaying major future changes, especially the fast changing ones. Perhaps

When we make rapid progress, we tend to double down on the working paradigm. Bitter lessons suggest that this can be risky for deep learning. When trying to make a new paradigm to work at all, it is often necessary to add structures, e.g. clever modeling ideas. These structures

Highly recommend this Stanford lecture video with Jason Wei and Hyung Won Chung :) It's one of my favorites on scaling laws and the bitter lesson! Also Hyung's "Don't teach. Incentivize" video: youtube.com/watch?v=kYWUEV… youtube.com/watch?v=3gb-Zk…

After a great time at OpenAI, we (Zhiqing Sun, Jason Wei) recently joined Meta Superintelligence Labs. The first month has already been so much fun building from a clean slate with a truly talent-dense team! Very excited about the compute and long term focus of the new lab

Old friends, new lab

Hyung Won Chung Zhiqing Sun Jason Wei Meta Let’s go! Welcome to the team 🚀

Excited to share that I recently joined the MSL team! Building personal superintelligence is serious and fun here. Join us!

welcome to the team Hyung Won Chung Jason Wei and Zhiqing Sun! some may recognize them from various recent livestreams :)