Vinson·Li

Index

On embodiment

  1. Learning like a baby: a plan for an embodied world model

    Google DeepMind's Gemini Robotics ER 2 gives robots a better high-level brain. The part I still think nobody has built is the body-first learning underneath. Here's the research plan I'd run.

    3 min
  2. A billion dollars for JEPA

    Yann LeCun's AMI Labs raised $1.03 billion to build world models on the JEPA framework. Revisiting what I wrote in 2022, and the one thing I still think the plan is missing.

    2 min
  3. Optimus sorts blocks. A toddler falls down a thousand times

    Tesla's new video shows Optimus sorting colored blocks with a neural network trained end to end. Curated robot demos and messy child learning, and which one scales.

    2 min
  4. A dancer in a spandex suit, and why the humanoid form matters

    Tesla's AI Day announced a humanoid robot and then showed a person dancing in a robot costume. The demo was a joke. The idea is right.

    2 min
  5. AlphaStar and the fairness of fast hands

    DeepMind's StarCraft agent beat two pros 10-0, then lost the one game where it had to move a camera like a person. What counts as intelligence when the body is different.

    2 min
  6. Nobody taught it to walk

    DeepMind's locomotion agents learned to run, jump and duck from a reward for moving forward and a varied course. The flailing arms are the point.

    2 min