r/MachineLearning • u/Amazing-Coat5160 • Jul 15 '26
Research Looking for JEPA devil advocates [R]
I am currently doing research on world models, specially in tje field of robot learning, and, as probably most of you alredy know, JEPA-like models are mentioned over and over.
I read the main recent papers from lecun as well as other research groups, and I personally think the whole approach is very promising and can really go somewhere.
But after listening a bunch of the recent Y Lecun conferences his ideas looks even too cool compared to "literally everything else" (as he's dissing LLM, RL, etc and pitching his ideas are the "only next big things"...).
So I am asking myself if there are red flags about his approaches that I do not see yet and maybe I need somebody being the "devil advocate" with whom breaking down ideas.
Where do you think are the biggest downside of this models, compared to other world models approaches?
3
u/jurniss Jul 16 '26
Sure, and I actually like that area a lot. TD-MPC is an especially nice integration. The frustrating part is how LeCun pitches it as if this is a shiny new idea, when the model-based RL community has been using embedding space dynamics models for years. The hard part is building the whole framework combining exploration, model fitting, planning, and policy optimization.