Two life updates: 1) About a year ago I decided to join the Veo team to work on capabilities. It’s been a fun ride! Excited for what’s still to come. 2) I've been busy caring for a newborn the past couple of days 🥰 Excited for the incredible world he will grow up in. Veo's impression below:

Check out @tkipf.bsky.social's post on MooG, the latest in our line of research on self-supervised neural scene representations learned from raw pixels: SRT: srt-paper.github.io OSRT: osrt-paper.github.io RUST: rust-paper.github.io DyST: dyst-paper.github.io MooG: moog-paper.github.io

I'm excited to announce that I have no idea what day of the week it is and I'm hoping I can keep this up for the rest of the year

I gave a talk on Compositional World Models at NeurIPS last week 🌐 The recording is now online: neurips.cc/virtual/2024... (for registered attendees; starts at 6:06:00) Workshop: compositional-learning.github.io

Blue skies over Joshua Tree 🌌

Hot take: 90% of what ACs/SACs do could in principle already be automated (with the remaining 10% being process oversight and borderline decision making). At least right now, it seems like reviewers have the more important job for the most part.

Veo + DreamScreen! www.instagram.com/p/DCpFZ_UMyN...

Waymo deserves to be the number one tourist attraction in San Francisco right now, and it's not even close For like ~$11 you get to ride in a genuine self-driving car with up to four people! Wildly entertaining

Being totally obsessed with your work really helps with motivation and with getting things done. Exciting times.

Let’s welcome @ellis.eu to Bluesky and give them a follow! 🦋

Hello World!

Thrilled to announce Boltz-1, the first open-source and commercially available model to achieve AlphaFold3-level accuracy on biomolecular structure prediction! An exciting collaboration with Jeremy, Saro, and an amazing team at MIT and Genesis Therapeutics. A thread!

The world doesn’t live on a pixel grid and neither should vision models! Excited to share Moving off-the-Grid (MooG): a video model w/o grid-based representations. MooG learns detached “off-the-grid tokens” that bind to (and track) scene elements as camera & content move. 🧵