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Beyond LLMs: JEPA and the Road to AGI – the main milestones so far
JEPA is Yann LeCun's bet on what comes after LLMs. Here's the full roadmap — from self-supervised learning to the main milestones toward AGI.
Even as we’ve been distracted by the immense success of LLMs, that question never really went away.
And that is exactly the question behind JEPA – Joint Embedding Predictive Architecture.
In this episode, we are discussing why this family of models matters far more than most people realize. And we map the evolution of JEPA from an elegant idea into something much bigger: a growing architectural family that moves from latent prediction to video and motion, to action, to world models, to causal understanding and long-horizon planning.
Is this a story about “who wins”? *Watch the episode!*
*We explain:*
*Why JEPA exists at all:* the core disagreement with the dominant generative paradigm.
*LLMs vs JEPA:* next-token prediction versus learning structured latent representations.
*The major milestones:* JEPA, H-JEPA, I-JEPA, MC-JEPA, V-JEPA, Audio-JEPA, Point-JEPA, 3D-JEPA, ACT-JEPA, V-JEPA 2, LeJEPA, Causal-JEPA, LeWorldModel, and ThinkJEPA.
*Why I-JEPA mattered:* the first concrete sign this was more than a philosophical alternative.
*Why video changes everything:* once time enters the model, AI has to track transitions, persistence, and consequence.
*When JEPA starts touching action:* the shift from passive perception toward control, planning, and robotics.
*Why LeJEPA may be one of the most important steps:* not flashy, but crucial if the whole family is going to train cleanly, scale reliably, and become usable beyond a few labs.
*The bigger question:* is JEPA an alternative to LLMs, a complement to them, or the early skeleton of a more world-grounded form of intelligence?
*Links Mentioned*
Yann LeCun / Meta on early JEPA research:
https://ai.meta.com/blog/yann-lecun-advances-in-ai-research/
What is LeJEPA? The Theory Upgrade JEPA Has Been Missing https://www.turingpost.com/p/lejepa
14 JEPA Milestones as a Map of AI Progress https://www.turingpost.com/p/jepamap
*Attention Span* is here to show you AI isn’t magic. Sometimes the most important shifts in the field come from relentless research in underhyped areas.
👉 Subscribe for more high-signal AI mechanics
👉 More analysis: TuringPost.com
👉 Interviews: / @realturingpost
#AttentionSpan #JEPA #AI #YannLeCun #WorldModels #LLM #ArtificialIntelligence #MachineLearning #Robotics #SelfSupervisedLearning #AIResearch #MetaAI #EmbodiedAI #Planning #DeepLearning
Видео Beyond LLMs: JEPA and the Road to AGI – the main milestones so far канала Ksenia | Turing Post
Even as we’ve been distracted by the immense success of LLMs, that question never really went away.
And that is exactly the question behind JEPA – Joint Embedding Predictive Architecture.
In this episode, we are discussing why this family of models matters far more than most people realize. And we map the evolution of JEPA from an elegant idea into something much bigger: a growing architectural family that moves from latent prediction to video and motion, to action, to world models, to causal understanding and long-horizon planning.
Is this a story about “who wins”? *Watch the episode!*
*We explain:*
*Why JEPA exists at all:* the core disagreement with the dominant generative paradigm.
*LLMs vs JEPA:* next-token prediction versus learning structured latent representations.
*The major milestones:* JEPA, H-JEPA, I-JEPA, MC-JEPA, V-JEPA, Audio-JEPA, Point-JEPA, 3D-JEPA, ACT-JEPA, V-JEPA 2, LeJEPA, Causal-JEPA, LeWorldModel, and ThinkJEPA.
*Why I-JEPA mattered:* the first concrete sign this was more than a philosophical alternative.
*Why video changes everything:* once time enters the model, AI has to track transitions, persistence, and consequence.
*When JEPA starts touching action:* the shift from passive perception toward control, planning, and robotics.
*Why LeJEPA may be one of the most important steps:* not flashy, but crucial if the whole family is going to train cleanly, scale reliably, and become usable beyond a few labs.
*The bigger question:* is JEPA an alternative to LLMs, a complement to them, or the early skeleton of a more world-grounded form of intelligence?
*Links Mentioned*
Yann LeCun / Meta on early JEPA research:
https://ai.meta.com/blog/yann-lecun-advances-in-ai-research/
What is LeJEPA? The Theory Upgrade JEPA Has Been Missing https://www.turingpost.com/p/lejepa
14 JEPA Milestones as a Map of AI Progress https://www.turingpost.com/p/jepamap
*Attention Span* is here to show you AI isn’t magic. Sometimes the most important shifts in the field come from relentless research in underhyped areas.
👉 Subscribe for more high-signal AI mechanics
👉 More analysis: TuringPost.com
👉 Interviews: / @realturingpost
#AttentionSpan #JEPA #AI #YannLeCun #WorldModels #LLM #ArtificialIntelligence #MachineLearning #Robotics #SelfSupervisedLearning #AIResearch #MetaAI #EmbodiedAI #Planning #DeepLearning
Видео Beyond LLMs: JEPA and the Road to AGI – the main milestones so far канала Ksenia | Turing Post
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31 марта 2026 г. 1:54:08
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