I just read LeCun’s recent thoughts on world models. Thoughts on JEPA as a path forward? [D]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
So, I just read LeCun's interview with Nebius Science. I feel he had some cool points about LLMs being able to answer things, but not literally understand the physics of the physical world. (Like, being able to explain a task and actually performing it are two completely different things.) But I wanted to get opinions on what others thought of his solution to the problem. He thinks JEPA could be the solution. But it made me think about whether JEPA is genuinely the architectural solution to this, or if we’re just looking for a "magic bullet" that doesn't exist yet in our toolbox
I have the link here: https://nebius.science/stories/meet-yann-lecuns-lab-and-the-ai-world-of-2030
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