1/ 🎮 Can training on games improve LLM reasoning? Introducing GlyphBench: 360+ game tasks for language-model RL. We use it as a benchmark, a research tool, and a post-training suite. 🧵⬇️

1/ 🎮 Can training on games improve LLM reasoning? Introducing GlyphBench: 360+ game tasks for language-model RL. We use it as a benchmark, a research tool, and a post-training suite. 🧵⬇️

Today we're unveiling Trillium Labs @trillium_labs, a new non-profit to foster the open science of frontier AI. We're building open post-training recipes and will expand into open infra to study RSI, reward-hacking, multi-agent systems, and whatever comes next. We're built around the theory of change that you need more eyes to solve hard technical problems. We have faith in the scientific methods and communities that humanity has built, and worry that AI is becoming too closed to utilize them. Trilliums are wildflowers that bloom briefly in the spring, before the forest canopies fill out. Though they are small, they lay the foundation for the cycles of growth and nourishment through the rest of the year. At Trillium Labs, the recipes will be the slow nutrients for the seasons and the model releases will be the blooms. Building an institution dedicated to this is needed because, much as nature’s trilliums are slow to expand and grow, the open-ecosystem needs time and dedicated resources to catch up. I co-founded with with a long-time friend and collaborator Tom Zick (@thesezickbeats). We're hiring (full time + student collabs/interns), we're fundraising, and we're looking for compute. Please get in touch if you're interested in helping out. Offices based in the Bay Area and Cambridge MA, remote okay. I’m in the Bay Area until for The Curve and COLM to connect with people who are interested. We’re thankful to have initial support from Halcyon Futures and Schmidt Sciences with more funding en route to enable our ambitions of scaling. Our advisors @Thom_Wolf, @HannaHajishirzi, @gneubig and @ctnzr have been instrumental to building the ecosystem that exists today, and I’m stoked to get to keep working with them.

Launching Agentick 🤖🧠 A unified benchmark for training and evaluating general sequential decision-making agents. RL agents, LLMs, VLMs, hybrids, bots, and humans can all be evaluated on: same tasks. same seeds. same score. First result: no single agent dominates. 🧵

Very happy to see this profile of @hugo_larochelle Before I join Google Brain, I watched all his lectures from Sheffield. You have to remember at the time, all of the knowledge for deep learning belong to less then 100 people. He made it available to many more. He became my PhD advisor many years later. Hugo is an exceptional researcher, has shaped so much of our ecosystem.

TL;DR: This is one of the most important and exciting opportunities in AI on the planet - please read on. The British Open-ended Learning & Discovery Lab is creating the perfect place for paradigm breaking AI research in the name of open-source and open-science. We have agency, we funding, we have unprecedented amounts of compute*, but WE NEED YOU! ..and we have created the dream job for you: The BOLD Fellow. This job combines a fast-moving, high agency, collaborative environment with full academic freedom and a salary that pays the bills. Apply by noon UK time on the 15th of September for this once in a lifetime opportunity to shape the history of our field and of our planet: my.corehr.com/pls/uoxrecruit… *by academic standards

Great turnout for our first #runconference at #RLC2026 ! Same place, same time tomorrow!

Thanks to everyone who joined @AutoRL_Workshop, it was really great to see the room full and everyone actively participating. Until the next one! Really enjoyed working with Julian on the workshop, and I’m looking forward to the next chapters ahead 🥳 Excited for Day 2 of #RLC! 🚀

🔥 AutoRL Debate, not your usual panel! We’re switching things up this afternoon. Instead of a traditional panel, our six participants will debate three controversial positions in AutoRL, with a twist: they’ll be randomly assigned to argue for or against each one, regardless of their own views. 👀 Expect opposing arguments, lively discussion, and hopefully a few surprising insights along the way. Come join us!! It is happening at 2:00 PM (Montreal time). Led by our amazing @pcastr! 🔥

Finally, here are the participants of our AutoRL debate! We’re switching things up from a traditional panel: three controversial positions, with participants randomly assigned to argue for or against each one. Expect opposing views, lively discussions, and surprising insights!

Tomorrow will be my last day at Google after 27 years, and watching it grow from 25 people to 190,000+ has been an amazing journey. Below is a note I shared with many people internally at Google today. An excerpt is: It has been an absolute pleasure to work with you and to help build some of the most widely used and impactful products of all time. As a kid, I dreamed of helping build software that would be used by many people, and Google now has thirteen products used by more than a billion people (amazing!). Our work has had a tremendous impact in the world, and I have been lucky enough to collaborate and form friendships with many colleagues that I deeply admire, respect, and enjoy. It still brings me joy every time I see people out in the world using our products to find information, handle email, translate documents, watch videos, learn new things, navigate and understand the physical world, browse the web, use their phone, run large-scale computations on our infrastructure, ride in an autonomous vehicle, or perform complex tasks with the help of our AI systems. I hope you all share this sense of joy, because it is a shared accomplishment! Thank you to all of my colleagues at Google over many years! Now I'm excited to go start @DiscoLoopAI with my longtime friends and colleagues @Sanjay_Ghemawat, @OriolVinyalsML, and @quocleix. (Updated post: slightly redacted to not have some personal info)