And we may be heading to uncharted territory, again!
Most AI today doesn’t understand. It predicts.
That’s how Large Language Models (LLMs) work. They don’t think—they guess the next word based on patterns in massive datasets.
But according to Meta’s Chief AI Scientist, Yann LeCun, that model is hitting a wall: “A 4-year-old child learns more about the world in a few hours than any LLM can in months, or even years.”
Why? Because LLMs don’t see the world. They don’t learn through experience. They don’t know what’s likely, possible, or real.
That’s where JEPA comes in. A new architecture designed to learn from the world, not just words. It builds internal models of reality—closer to how humans learn. And while it's still early, the implications for AI tools, agents, and business applications are massive.
If you’re building with AI, the question isn’t just how smart it sounds. It’s how well it understands.
And that could change everything.
