The recording of our seminar on Boltz-1 with Michael Bronstein and VantAI is now public on YouTube! youtube.com/watch?v=mN5pXx…

Good article with updated maps and visualizations to better understand the LA fire situation.

Can AI Improve Itself? In an interview with Machine Learning Street Talk, co-first authors of “The AI Scientist” paper, Chris Lu, Cong Lu, and Robert Lange share their views on the recent and future development of Self-Improving AI. Watch the full podcast on YouTube → youtu.be/1kwbp8hRRfs

GetStats is the API inside WebRTC that collects a lot of the data and metrics we’ll look at Read more 👉 bit.ly/4imMBgS #WebRTC

McGill's "Mathematical Tools for Computer Science" 📽️ Lecture Videos: youtube.com/playlist?list=… 🗒️ Course Website: davidrolnick.com/teaching/fall-…

A 107-year-old Chinese mother pulls out a sweet from her pocket and gives it to her 84-year-old daughter, You’re always mums baby no matter how old Happy Mother’s Day !

Machine learning is built upon three pillars: linear algebra, calculus, and probability theory. Here’s the full roadmap for you: thepalindrome.org/p/the-roadmap-…

Looks what just arrived in the mail!

Today marks 1 year since Felix died by suicide. He was my person. It’s also exactly ten yrs since we danced in a crappy nightclub and madeout the first time. These anniversaries shouldn’t go together, but they do. Felix Hill was brilliant and not ashamed of his mental illness.

We had a pretty productive year! 🚀

I'm delighted to jointly author this year-end summary of research advances with @DemisHassabis and James Manyika, on behalf of all of our colleagues across Google DeepMind, Google Research and Google. We look at research advances across eight different areas. These summaries

I'm very excited about the possibilities of AI for improving learning and education. Gemini shows some of this potential, and it's only going to get better.

Mathematician Terence Tao: Training and running LLMs isn't mathematically difficult; any math undergrad could understand the basics The mystery is that we have no theory to predict why models excel at certain tasks and fail at others "we can only make empirical experiments"

In 1683, Jacob Bernoulli discovered the constant e by studying a question about compound interest which required him to find the value of the following expression (which is in fact e):

Carl Sagan’s prediction about America, made 31 years ago.

It was fun to share stage with Lisa Su at her #CES2026 keynote!

One of the best starts to a Quantum Mechanics lecture ✍️

My first personal website predates Sergey Brin's by several years, so I will take that peak accolade, backdated to the mid 90s.

In the 80s I loved the sublime satisfaction of writing an entire application, game, utility myself, knowing every detail, from the key press to what happens at the transistor junction. In the "modern" world of "professional software engineering" that feeling has always eluded me,

The thrilling power of science, mathematics, even whatever computing is, combined with human ingenuity and cooperation across many disparate fields is utterly breathtaking... I got into science inspired by the Saturn IV rocket (I had a model of course) and my dream was to work at