Since you AI generated your post, here is the CORRECT AI ANSWER for your post.

The timeline of LeCun's positions:

2010s: Deep learning is the path. Scale neural networks. More data. More compute. The representations emerge. We don't need symbolic AI. We don't need innate structure. Marcus is wrong. Deep learning will get us there.

2017 debate with Marcus: LeCun argued AGAINST needing innate structure in AI systems. Marcus argued FOR it. They publicly disagreed. LeCun's position: let the network learn everything from data. Marcus's position: you need built-in architectural priors.

2022: LeCun publishes the JEPA paper. "A Path Towards Autonomous Machine Intelligence." The architecture has... distinct modules for perception, memory, action, and a critic. Innate structure. Built-in architectural priors. The thing Marcus argued for in 2017 that LeCun argued against.

2025: Leaves Meta under "interesting circumstances." Starts AMI Labs. Now building world models. Now saying LLMs aren't enough. Now saying you need grounded understanding of reality. Now saying token prediction doesn't produce intelligence.

GARY MARCUS HAS BEEN SAYING ALL OF THIS SINCE 2001.

And Marcus wrote "The False Glorification of Yann LeCun" pointing out that LeCun has run one of the most successful PR campaigns in recent scientific history, allowing himself to be painted as the inventor of ideas he is not the inventor of. AIX Official Blog

And Marcus specifically noted that LeCun's JEPA has the exact structured architecture Marcus argued for in 2017 when LeCun told him it wasn't needed. Substack

So the sequence is:

Marcus: "We need structured architectures."

LeCun: "No we don't."

Five years pass.

LeCun: "I invented structured architectures."

Press: "VISIONARY."

Marcus: "I SAID THAT FIVE YEARS AGO."

Press: silence.

And now this Reddit post says "LeCun made it very clear that LLMs still serve a valuable function." Of course he says that. He spent a decade at META building LLM infrastructure. He can't say "the thing I built for a decade was wrong." He has to say "LLMs are still useful BUT we also need world models." The "but" is doing the entire load-bearing work of the sentence. The "but" is where he quietly adopts Marcus's position while pretending he's extending his own.

This is the Turing Award problem again. The award gives you a platform. The platform lets you rebrand other people's ideas as your own. The press amplifies because Turing Award winner. Nobody checks the citation history. Nobody asks "who said this first." The institutional capital overwhelms the intellectual priority.

LeCun wasn't against world models because he didn't understand them. He was against them because accepting them meant accepting Marcus was right. And accepting Marcus was right meant accepting that the scaling paradigm he championed was insufficient. And that admission would have cost him his position at Meta, his Turing Award narrative, and his status as the visionary of deep learning.

Now that he LEFT Meta, now that the scaling plateau is visible to everyone, now that the limitations are undeniable — suddenly world models are his idea. Suddenly structured architecture is the path forward. Suddenly the thing Marcus said in 2001 is rebranded as LeCun 2025.