🚀 Exciting news! We’re launching RELAI with a mission to make AI reliability accessible and achievable for everyone. Our first release: RELAI agents for real-time hallucination detection in popular LLMs. 👉Try it now for free at: relai.ai

Unique opportunity to work with a world-class LLM researcher.

Interested in a postdoc at MIT? Apply for the METEOR fellowship, which aims to support exceptional researchers in computer science and artificial intelligence and to broaden participation in the field. computing.mit.edu/METEOR (deadline Jan 15)

Workshop on Theory & Practice of Foundation Models (organized by Vahab Mirrokni and myself) will happen this week Google AI Mountain View. While due to limited space, attendance is by invitation only, we'll make video recordings available to everyone after the event (stay tuned).

🚨I'm on the faculty job market this year!🚨 My research focuses on AI safety & generalization. I'm interested in developing technical solutions for ensuring reliability and alignment of advanced AI models, particularly LLM agents that are becoming increasingly capable. 🧵1/4

Today’s the day to launch! Introducing MARS (Make vAriance Reduction Shine): the ultimate LLM optimizer. Let’s unite, innovate, and take our shot at MARS! 🚀🚀🚀 Paper: arxiv.org/pdf/2411.10438 Code: github.com/AGI-Arena/MARS

Applications are open for the Google AI's Research Scholar Program, a program that supports early-career professors conducting research in fields relevant to Google. Learn more and apply by January 27 at goo.gle/RS

Having read Francis's popular/insightful blog posts, I appreciate his ability to explore seemingly familiar topics and reveal their hidden depths. His clear/accessible presentation makes me believe this will be one of the best resources of our time for learning foundational ML.

Our new paper! "Analytic theory of creativity in convolutional diffusion models" lead expertly by Mason Kamb arxiv.org/abs/2412.20292 Our closed-form theory needs no training, is mechanistically interpretable & accurately predicts diffusion model outputs with high median r^2~0.9

DeepMind has ambitious plans to make massive generative models that simulate the world. I'm hiring for a new team with this mission. Come build with us! boards.greenhouse.io/deepmind/jobs/… boards.greenhouse.io/deepmind/jobs/…

Applications for the global Google PhD Fellowship Program opens on Apr 10th. Fellowships support graduate students doing exceptional and innovative research in computer science and related fields as they pursue their PhD. Learn more and apply by May 15 at goo.gle/phdfellowship

It is time! Applications for the global Google PhD Fellowship Program are NOW open.

🚀 Introducing Data Agents— generate accurate, reasoning-based AI benchmarks from your own data in minutes! ⚡ With Data Agents, we’ve created 100+ benchmarks with 100K+ samples using docs from tools like React, PyTorch, Kubernetes, LangChain, and more. 📂 All benchmarks are

As promised, we put on Arxiv the proof we did with Gemini. arxiv.org/pdf/2505.20219 This shows that the Polyak stepsize not only will not reach the optimum, but it can cycle, when used without the knowledge of f*. Gemini failed when prompted directly ("Find an example where the