Very excited that this is now also officially out! We should also have results on more sophisticated agents, agents with recent open source LLMs, and more tasks soon.

the most interesting part of this work for me was how models represent and track absence/nonexistence. it's interesting, somewhat counterintuitive, and often undesirable! check out the thread and also come talk to @Zilu_Tang_Peter , Qiao & me at ICML 🗯

How do language models track entities across state changes? When tracking objects in different boxes, do they cumulatively build up a global state of what’s in every box? How do they add objects or remove objects (i.e. Entity Unbinding)? Find out in our ICML paper! 🧵

The topic for the PhD is open, so a genuine intellectual curiosity is the main criterion I have one open position now (deadline July 9); another this fall (see next post). Apply! * alexanderhoyle.com/posts/wor… * jobs.tuwien.ac.at/Job/266689 (a nice bonus: pay exceeds top US programs)

Delighted to announce the next step in my career! After my postdoc, I will begin a joint appointment at TU Wien and the Complexity Science Hub Vienna as an Assistant Professor in NLP! My deepest thanks to all who helped me along the way I'm hiring—details on PhD positions below

Has anyone already tried to reproduce the OpenAI proof using any publicly available models?

Sad to miss #LREC2026 this year, but say hi to my PhD student Marie if you're there! 👋 She'll present her poster today from 3:20pm to 5pm in "Poster Area 2".

Just wrote a new blogpost trying to summarize my thoughts on the question of how and whether to use AI for research in psychology and cognitive science. Take home: Pure text generation is just the wrong way to use AI as an academic.

RExBench is now available in Terminal Bench (@harborframework)! 🎉 We integrate 2 tasks (cogs, othello) along with a local testing framework so you can test if your agents can autonomously implement novel AI research extensions.

🧵 Do coding agents know when to ask for help? Real-world coding tasks are rarely fully specified, yet most agents are optimized to execute autonomously rather than clarify.

I think we're going to need CS PhD students to do far more than provide accountability, by which I think Sayash means do code review for AI agents and make sure the agent isn't making silly mistakes. The main value of a strong PhD student for a PI is that they're immersed in a problem, a method, an application, a collaboration with another field; they are obsessed with finding the next question to ask, not just executing the experiments their advisor asks them to do. I simply wouldn't be able to work on the range of things I'm able to work on if I were going it on my own, even if all of my code was generated instantaneously by an agent.

Diffusion LLMs can think EoS-by-EoS! The higher the generation length, the better the performance of Masked Diffusion LLMs, even though they generate the same amount of words and only augment them with more and more EoS tokens  👀

📢 Life update 📢 After a wonderful time at @allen_ai, I've joined @CisLmu at @LMU_Muenchen as a tenure-track assistant professor in NLP. Thrilled to be back in Europe and to start a lab in Munich's flourishing AI ecosystem! 🎉

Go work with Najoung!

🎓🤖🧠 Fully funded 4-year PhD in Computational Linguistics @ucl - @UCLBrainScience - Division of Psychology & Language Sciences New lab launching. Open topic. Strong computational focus. 🗓 Apply by 7 January 🇬🇧 UK home-rate students only (unfortunately) Details ⬇️

🧑‍🔬I’m recruiting PhD students in Natural Language Processing @UniLeipzig Computer Science, together with @Sca_DS! Topics include, but aren’t limited to: 🔎Linguistic Interpretability 🌍Multilingual Evaluation 📖Computational Typology Please share! #NLProc #NLP

At the #Neurips2025 mechanistic interpretability workshop I gave a brief talk about Venetian glassmaking, since I think we face a similar moment in AI research today. Here is a blog post summarizing the talk: davidbau.com/archives/2025/1…

Personally, @chrmanning is such an inspiration and someone I have unfalteringly admired in the past 15 years or so of working in NLP. Imagine producing phd students who have, in their own right, become stars, repeatedly producing test-of-time science, being responsible for companies that are collectively worth billions, and yet deeply technical and modest in in-person conversations. Impossible not admire and emulate.

If you want to learn AI from the experts, keep reading. 💡 Together with @UCL, we made a free AI Research Foundations curriculum – available now on Google Skills. With lessons from a Gemini Lead like @OriolVinyalsML, you'll explore how to code better, fine-tune an AI model and more. → skills.google/collections/de…

I’m recruiting PhD students for 2026! If you are interested in robustness, training dynamics, interpretability for scientific understanding, or the science of LLM analysis you should apply. BU is building a huge LLM analysis/interp group and you’ll be joining at the ground floor.