👋 We're building a new type of word processor at Marker, and we're hiring for React/ProseMirror engineers and full-stack AI engineers to join the team in London. Are you an engineer who cares about writing? Or do you know someone who does? See: writewithmarker.com/jobs More details below 👇

We all want LLMs to collaborate with humans to help them achieve their goals. But LLMs are not trained to collaborate, they are trained to imitate. Can we teach LM agents to help humans by first making them help each other? arxiv.org/abs/2503.14481

Don't lie to your friends: Learning what you know from collaborative self-play

To be helpful assistants, AI agents must be aware of their own capabilities and limitations. This includes knowing when to answer from parametric knowledge versus using tools, when to trust tool outpu...

arxiv.org

🚨 I’m hosting a Student Researcher @GoogleDeepMind! Join us on the Autonomous Assistants team (led by @egrefen.bsky.social) to explore multi-agent communication—how agents learn to interact, coordinate, and solve tasks together. DM me for details!

New paper from our team @GoogleDeepMind! 🚨 We've put LLMs to the test as writing co-pilots – how good are they really at helping us write? LLMs are increasingly used for open-ended tasks like writing assistance, but how do we assess their effectiveness? 🤔 arxiv.org/pdf/2503.19711

you're telling me a cherry picked this example?

Instead of listing my publications, as the year draws to an end, I want to shine the spotlight on the commonplace assumption that productivity must always increase. Good research is disruptive and thinking time is central to high quality scholarship and necessary for disruptive research.