Take a sneak peak at The Paradox of the Organism at Google books books.google.com/books?hl=sv&... Don’t forget to pre-order!

Another concept that we explore is that of Mission Economies realized through steerable AI agent markets.

One of the concepts that we discuss is that of a hypothetical High-Frequency Negotiation (HFN) framework between Personal AI Assistants, on behalf of their users, and in line with individual preferences.

Happy to share a new preprint: Virtual Agent Economies arxiv.org/abs/2509.10147 where we discuss a number of possible frameworks for establishing steerable agent markets.

For those with interest in mental health and AI, and in particular on how potentially sensitive data gets collected and used there - there is now a Delphi survey that you can fill out to inform how this gets done, as a part of PARQAIR-MH project (www.parqair.org/home), via: redcap.link/2l91l043

Our work on concept discovery towards bridging the human-AI knowledge gap in AlphaZero has now been published in PNAS. As future AI systems become even more capable, we should be thinking of ways of utilizing them not only to perform tasks, but also to further our own knowledge and understanding.

This was cool: "Gemini 2.5, create a sim that is cross between Jujujajaki networks and cellular automata" Gemini: "What's a Jujujajaki network?" I paste in a paper. Gemini: "Got it, a dynamic network with local search & exploration." Worked in one shot. Me: "Make it nicer" Some cleverness here

An interesting read on self-organizing systems, and how order and disorder may manifest differently at different scales: www.nature.com/articles/s44...

Dataset Distillation (2018/2020) They show that it is possible to compress 60,000 MNIST training images into just 10 synthetic distilled images (one per class) and achieve close to original performance with only a few gradient descent steps, given a fixed network initialization.

I'm happy to advertise an upcoming Student Researcher position on my Agent Frontiers team here at the Google DeepMind Foundational Research Unit, aimed for a start date early in the summer (currently listed as late June, but obviously somewhat flexible).

Constrained roads to complex brains - Neural development and brain circuit evolution converged in birds and mammals www.science.org/doi/10.1126/...

LLMs Mastering Board Games: ZurichNLP Meetup - Feb 20th! Excited to share insights from my student research at Google DeepMind at the upcoming ZurichNLP meetup! I'll present how we achieved high-level play in board games using LLMs with a search budget comparable to human chess grandmasters.

Model-free deep RL algorithms like NFSP, PSRO, ESCHER, & R-NaD are tailor-made for games with hidden information (e.g. poker). We performed the largest-ever comparison of these algorithms. We find that they do not outperform generic policy gradient methods, such as PPO. arxiv.org/abs/2502.08938 1/N

Can LLMs be used to discover interpretable models of human and animal behavior?🤔 Turns out: yes! Thrilled to share our latest preprint where we used FunSearch to automatically discover symbolic cognitive models of behavior. 1/12

🙏🙏🙏 See also full set of video lectures at m.youtube.com/playlist?lis...

No company in the self-driving industry has invested in self-play at scale. I've been dying for someone to finally do this—many others have felt the same. This landmark work finally shows the potential in this approach. This is a challenge to the industry.

One of the things that I am most excited about is how we can use AI (and language models in particular) to help us generate new scientific hypotheses and accelerate scientific discovery.

We launched a bunch of Gemini 2.0 models today. Compared to the 1.5 series models, each of the 2.0 models is generally better than the "one size up" model in the 1.5 series. 2.0 Flash & Flash-Lite set new standards in the quality/cost Pareto frontier. More details: blog.google/technology/g...

In December, I posted about our new paper on mastering board games using internal + external planning. 👇 Here's a talk now on Youtube about it given by my awesome colleague John Schultz! www.youtube.com/watch?v=JyxE...

John's talk is now available online! www.youtube.com/watch?v=JyxE...

Check out the Autonomous Agents for Social Good (AASG) Workshop taking place at #AAMAS 2025! Are you doing research on using autonomous agents or multi-agent systems to address social challenges to make the world a better place? Submission deadline: Feb. 4th. panosd.eu/aasg2025/

For those interested in AI for improving mental health, registrations are still open for the next MEXA hackathon. www.linkedin.com/posts/mexaco...

Join John's talk to get insights on our paper on mastering board games with language models!

A new paper dropped from DeepMind: Deliberation in Latent Space via Differentiable Cache Augmentation The trouble is, it's not very readable. I tried making a thread here, but it got far too long, so it's a blog now: timkellogg.me/blog/2024/12...

Now also out on Arxiv: www.arxiv.org/abs/2412.12119

Check out our latest work on Contextual Evaluation of Large Language Models for Tropical and Infectious Diseases (openreview.net/forum?id=yXe...), accepted at two NeurIPs workshops: GenAI4health (genai4health.github.io) and AIM-FM (aim-fm-24.github.io/NeurIPS/). #llms #genai4health #globalhealth

I was honored to present our demo on “Mastering Chess With Language Models” at the @GoogleDeepMind booth at @NeurIPSConf right before an inspiring talk by Jeff Dean Thanks to everyone who dropped by and made it a memorable session! ♟️

An updated intro to reinforcement learning by Kevin Murphy: arxiv.org/abs/2412.05265! Like their books, it covers a lot and is quite up to date with modern approaches. It also is pretty unique in coverage, I don't think a lot of this is synthesized anywhere else yet

If you will be at #NeurIPS2024 @neuripsconf.bsky.social and would like to come see our models in action, come say hi 👋 and check out our demo at the GDM booth! Wednesday, Dec. 11th @ 9:30-10:00. Lots of other great things to see as well! Check it out: 👇 deepmind.google/discover/blo...

If you are as interested as we are in exploring how planning and reasoning with large language models can help master board games and vice versa, Join us this coming Wednesday in Vancouver at the GDM NeurIPS booth, where we will be showing a demo. deepmind.google/discover/eve...

Now you can also play chess against Gemini - we've made one of the smaller models (without search) available in Gemini Advanced. The fun part? You can banter with Gemini as you play along, have it take on a personality of your choosing, or even get creative and poetic.

The project I was quite honored to work on! ♟️ As a chess enthusiast, I was especially thrilled that an LLM equipped with an efficient MCTS reaches grandmaster-level strength with a search budget comparable to human players! 🤯 deepmind.google/research/pub...

I'm excited to share a new paper: "Mastering Board Games by External and Internal Planning with Language Models" storage.googleapis.com/deepmind-med... (also soon to be up on Arxiv, once it's been processed there)

If you're planning on attending NeurIPS next week, and are interested in building advanced AI agents that use planning and reasoning for solving complex problems - I'll be at the GDM booth with my colleagues on the 11th where we'll be covering some of these topics.

Ported over from X! What will a foundation model for the brain look like? 🧠 We argue that it must be able to solve a diverse set of tasks across multiple brain regions and animals. Check out our NeurIPS paper which introduces a multi-region, multi-animal, multi-task model arxiv.org/abs/2407.14668

An interesting talk later today - highlighting the opportunities for acoustic AI in biodiversity monitoring, across a range of applications including coral reef health, population discovery and tracking threatened species. gdg.community.dev/events/detai...

Check out this interview with @nenadtomasev.bsky.social about AlphaZero at the Chess World Championship! www.youtube.com/watch?v=ppiW...

A great new essay on AI for Science from our colleagues here: deepmind.google/public-polic...

Super excited to be here for the world chess championship - and if game one is anything to go by, it's going to be quite an exciting match!

A couple of weeks ago, I had the pleasure of speaking at the 50th anniversary of the world computer chess championship icga.org?page_id=3957, hosted by ECAI and organized by the International Computer Games Association.

Student Researcher positions in EMEA now accepting applications! Please repost. www.google.com/about/career...

Since this platform is finally attracting a critical mass of ML researchers, here's our recent work on prompt-based vulnerabilities of coding assistants: arxiv.org/abs/2407.11072 TL;DR — An attacker can convince your favorite LLM to suggest vulnerable code with just a minor change to the prompt!

How can we integrate #AI ethically in healthcare? We're at Science Gallery London for a day of talks, we'll be hearing from experts across academia, government, medical sector, industry, and patient community, e.g. @saracerdas.bsky.social Former MEP, @nenadtomasev.bsky.social Google Deepmind

Zhang and Hardt '24 arxiv.org/abs/2405.01719. In this paper, the authors use social choice theory to show that as our benchmarks become more diverse, model ranking can become less stable. Evaluated over many (18!) different (LM) benchmarks.

One thing still missing here is good discussion of academic papers, so I guess I'll be the change I want to see in the world Really interesting results from Jacob Andreas's group showing great performance on ARC-AGI just from doing a few gradient descent steps at test time arxiv.org/abs/2411.07279

Our ability to monitor and protect biodiversity relies on how precisely we can predict where species are. But we haven't done a good job of measuring the uncertainty of these models. In a new preprint, I show how conformal prediction quantifies uncertainty in SDMs. A thread. 🧪🌏