Tavis Siebert retweeted
The Platonic Representation Hypothesis is now a Theorem ◼️
Train JEPAs separately, on any modalities: they provably learn the same representation up to one rotation.
The result? A 109M JEPA-Text model that aligns with vision models better than 72B LLMs.
w/ @ylecun 🧵
Tavis Siebert retweeted
Your world model may know less about the world than you think.
I've always wondered what world models really learn.
Humans don't memorize every trajectory. We learn rules we can reuse.
Can world models do the same?
We built AnyGoal to find out.
hazel-heejeong-nam.github.io…
Tavis Siebert retweeted
Preparing for AI Research Scientist interviews? 🔥
We just open-sourced PaperLeet 🐈⬛ LeetCode for AI researchers: implement the core of ~100 key papers (llm, rl, diffusion, flow matching, JEPA, world models), graded by tests that check the math.
paperleet.com
Tavis Siebert retweeted
JEPAs can 𝐧𝐨𝐰 jointly imagine what happens and what to do next!
Meet 𝐋𝐞𝐖𝐀𝐌: A JEPA for the real world with
32.3× faster planning, 19 ms per plan
Improves success 28.6% → 89.7% on contact-rich manipulations
But also ... 🫶 a WAM for everyone with
17M · 1 GPU · 1 hyperparameter
Works on a real robot, not just a simulation !!
👉 le-wam.github.io/