Illustrations like this illustrate why Jurgen hasn't been as influential as he'd like: His ideas and papers are overly complex and no one knows which details are actually important until a more elegant and scalable method is independently invented.

📣 Jobs alert: UQ in LLMs! We're looking to hire a Postdoctoral Fellow and a Research Engineer to work on uncertainty quantification in LLMs. The project is a collaboration between University of Oxford (Yee Whye Teh), NTU Singapore (Luke Ong) and NUS (Wee Sun Lee) #LLMs #hiring

A meta-point of this paper is that category theory has utility for reasoning about current problems of interest in mainstream machine learning. The theory is predictive, not just descriptive. 🧵(1/6)

Lately it sometimes feels like there are only 2 AI futures on the table—insanely fast progress or total stagnation. Talked with Alison Snyder of Axios at SXSW about the many in-between worlds, and all the things we can be doing now to help things go better in those worlds.

This week's seminar will be given by Desi Ivanova (University of Oxford). Time and date: Wednesday 26th March 2-3pm (GMT) In-person location: 1-19 Torrington Place, B09 Link to join online: contact [email protected]

Today is a big day for AI Safety. We released Claude Opus 4 under the ASL-3 deployment standard Here's what that means:

I am very happy to share Orbformer, a foundation model for wavefunctions using deep QMC that offers a route to tackle strongly correlated quantum states! arxiv.org/abs/2506.19960

In a new paper, we examine recent claims that AI systems have been observed ‘scheming’, or making strategic attempts to mislead humans. We argue that to test these claims properly, more rigorous methods are needed.

Come and chat at the poster session today at 4:30-7pm :) Poster E-1403, East Exhibition Hall A-B

Strongly recommend working with Rob!

Today I’m releasing an essay series called Better Futures. It’s been something like eight years in the making, so I’m pretty happy it’s finally out! It asks: when looking to the future, should we focus on surviving, or on flourishing?

Join RainML! Lots of exciting work going on :)

It's great the governments (and others) continue to demonstrate that the models companies release are incredibly insecure. It's terrible that governments aren't penalizing companies for releasing such insecure models, and instead just help them patch them.

Just two years ago, our smartest models could barely solve the easiest competitive programming problems. Last week, our latest reasoning models achieved a gold medal score at the International Olympiads of Informatics. Competitive programming is one of the cleanest examples of