I am pleased to announce another update to my RL tutorial ( https://t.co/SjMdabksJo). This time I have added code for RLFT for multi-turn LLM agents, using the awesome Tinker library from @thinkymachines, and the simple ReBN training loop from GEM by @zzlccc et al. With ~100

Couldn’t agree more!

Here's OpenAI's CISO with the most detail we've seen yet on prompt injection mitigations for ChatGPT Atlas! It's a pretty long tweet covering a lot of ground so I posted my own point-by-point commentary on my blog:

This is an excellent history of LLMs, doesn't miss seminal papers I know. Reminds you we're standing on the shoulders of giants, and giants are still being born today.

I am pleased to announce our new paper, which provides an extremely sample-efficient way to create an agent that can perform well in multi-agent, partially-observed, symbolic environments. The key idea is to use LLM-powered code synthesis to learn a code world model (in the form

Introducing Pretraining with Hierarchical Memories: Separating Knowledge & Reasoning for On-Device LLM Deployment 💡We propose dividing LLM parameters into 1) anchor (always used, capturing commonsense) and 2) memory bank (selected per query, capturing world knowledge). [1/X]🧵

Over the past week, @arcinstitute published three new discoveries that I’m very proud of. • The world's first functional AI-generated genomes. Using Evo 2 (the largest biology ML model ever trained, which Arc released in partnership with @nvidia in February), Arc scientists

I'm pleased to announce another (fairly minor) update to my RL tutorial (I fixed some typos, cited more papers, and added a wee bit more stuff on multi-agent RL and RL for LLMs). I don't have time to work on this anymore, so enjoy it as is! (Link below)

#NeverForget

We @EITOxford just released these fully funded graduate scholarships in AI: multimodal deep learning discrete diffusion agents for scientific reasoning generalisation in ML machine learning interatomic potentials ML beyond attention

I've had preview access to GPT-5 for a couple of weeks, so I have a lot to say about it. Here's my first post, focusing just on core characteristics, pricing (it's VERY competitively priced) and interesting details from the GPT-5 system card

Work life balance is a top priority. Yes, there was nearly a decade in my life when I worked 98 hours, but I did it out of need and aspiration, not because anyone forced me. During my Cambridge PhD I published more than anyone around me, but I never worked a single weekend. I

Finally, a good modern book on causality for ML: https://t.co/jsHdpOEb96 by @eliasbareinboim. This looks like a worthy successor to the ground breaking book by @yudapearl which I read in grad school. (h/t @JoshuaSafyan for the ref).

Rethinking multi-agent systems in the era of LLMs - 1 day workshop at Uni of Oxford - 16 Sept 2025 - Call for Expressions of Interest. (**Deadline 8 August**) https://t.co/lkBYRvbuqx

Wrote up a few thoughts on Cursor's new $200/month Ultra plan and changes to their $20/month Pro plan https://t.co/2gAjMXN6CX

"everything that makes agents good is context engineering" excited to release @dexhorthy's talk at @aiDotEngineer, coiner of Context Engineering which has captured the zeitgeist of some of the most important problems in AI Engineering today!

Cursor IDE has been my friend for ~9 months now. But I find myself rarely using it any more. I'm addicted to Claude Code (CLI), and whilst it costs more, I get to work directly in the terminal - enjoying my time with vi again - and it's so much more performant. What do others

https://t.co/sM7FrO4qIJ

Superb book - a must read from a world expert

I am pleased to announce a new version of my RL tutorial. Major update to the LLM chapter (eg DPO, GRPO, thinking), minor updates to the MARL and MBRL chapters and various sections (eg offline RL, DPG, etc). Enjoy! https://t.co/SjMdabl0yW