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🧠 Yann LeCun LLMs Obsolete Prediction Signals a Shift in AI's Future

Updated: Apr 10


Meta logo featured in a NewBits Digest article covering Yann LeCun’s bold prediction that LLMs like ChatGPT and Gemini will be obsolete within five years—highlighting Meta’s internal push toward next-generation AI beyond language models.

Yann LeCun LLMs obsolete — it’s a phrase making waves across the AI community. Meta’s Chief AI Scientist, Turing Award winner, and deep learning pioneer says large language models (LLMs) like ChatGPT, Gemini, Claude, and even Meta’s own LLaMa are on the way out.


“If we make this work in 3–5 years,” LeCun said, “we’ll have a much better paradigm.”

That better paradigm is a new architecture his team is working on: Joint Embedding Predictive Architecture (JEPA) — an AI system that moves beyond language mimicry and toward true reasoning and planning. These models won’t just respond with words; they’ll understand goals, navigate environments, and interact more like humans or animals do.


🚫 “Don’t Work on LLMs,” Says LeCun


At a recent conference, LeCun issued a blunt message to aspiring developers:


“LLMs are in the hands of big companies. You should work on next-gen AI systems that break their limitations.”

Despite having helped shape the deep learning revolution that made LLMs possible, LeCun is clear: today’s models are good at language, but lack real-world understanding.


🤖 The Skeptic Behind the Movement


While most of the AI world is pouring money and hype into LLMs, LeCun remains skeptical. Even Meta’s own models, like LLaMa, fall short in his view. He argues that they’re useful tools — but limited. They don’t comprehend the world. They don’t form plans. They just predict words.


His stance echoes longtime concerns in the field about “magical thinking” — the belief that excellent performance in narrow tasks means a model is intelligent. AI pioneer Rodney Brooks has warned against this assumption for decades.


🔮 Why the Yann LeCun LLMs Obsolete Prediction Matters


The vision LeCun champions is one in which AI systems can build internal models of the world, reason about outcomes, and act with purpose. JEPA and similar ideas represent a shift away from text prediction and toward goal-driven AI — potentially enabling machines to interact more naturally with humans and their environments.


Whether you agree or not, the Yann LeCun LLMs obsolete outlook is pushing the industry to rethink where true intelligence might emerge — and what it will take to get there.



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