I ran across this two-part interview with Yann Le Cunn and I thought it gave a pretty good broad overview/background into JEPA: https://www.youtube.com/watch?v=kYkIdXwW2AE

Are there any pre-trained models / implementations of this, like vllm style, or are we still early into this architecture?

It looks like LeJEPA is sub-1B params and tested on vision tasks? (https://github.com/galilai-group/lejepa)

I had assumed the JEPA family will also be multimodal and agentic capable, perhaps just needs them scaling laws applied?

LeCun's new paper takes a new approach to building JEPA, which he named LeJEPA -- https://arxiv.org/abs/2511.08544 It's not that different in the underlying theory but he removes the EMA and the twin tower, makes the whole thing more straightforward.

LeCun's even newer paper takes a new approach to building JEPA, which he named Ada-JEPA: https://arxiv.org/html/2606.32026v1

Seems like a pretty good article to sit down and type out the code and spend an afternoon learning.

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100% AI-generated. Yawn.