behold. THE WORLDS FIRST SIX PENDULUM CARTPOLE SOLVE. Including a sponsor!
To solve this task, I built an environment to train an AI. This is what mechanize does, but for larger AIs. Apply! Salaries are up on their page
Thank you to mechanize for sponsoring!
Introducing D4RT: A unified AI model for 4D scene reconstruction and tracking across space and time. ๐ฏ Catch the demo with Skanda Koppula at 12 pm at our #CVPR2026 Google booth kiosk! https://t.co/p6SclNe1zi @GoogleDeepMind
Introducing D4RT: A unified AI model for 4D scene reconstruction and tracking across space and time. ๐ฏ Catch the demo with Skanda Koppula at 12 pm at our #CVPR2026 Google booth kiosk! https://t.co/p6SclNe1zi @GoogleDeepMind
๐โโ๏ธ I've gamified my own run so I can race my own ghost with the Meta Ray-Ban Display.
I built a web app for the glasses, loaded a previous GPX from Strava, and dropped game mechanics on top.
Pick up coins when you keep pace, sprint zones reward extra points if you push, and a mini leaderboard on the lens shows how you're tracking against your past self in real time.
Best part: it actually works. Seeing your ghost 20 m ahead is a way stronger nudge than any number on a watch. ๐
In my first week at @GeneralistAI, I trained a robot to pour liquids using GEN-1 ๐ค๐ง
I wanted to challenge the robot with a non-rigid manipulation task, so liquid felt like the perfect choice. The task involved:
- unscrewing the bottle cap
- pouring liquid into espresso glasses
- rebalancing uneven pours
Best of all, the robot was able to complete the task fully autonomously 3 times in a row (out of 3)! Pour-fect ๐
Excited for the journey ahead and grateful to be building alongside such an incredible team!
Punchline: distill world models from simulation to enable fast, stable real-world robot adaptation.
Simulation is nearly always wrong. But in Simulation Distillation, we ask a simple question:
How do we perform simulation pretraining such that real-world adaptation becomes trivially easy?
https://t.co/ORDaxU2gzs
Let's take a closer look (1/n)