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    AI Is Unsafe Until It Learns to Stabilize

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AI pioneer Yann LeCun exits Meta to launch a new AI startup

Why Autoregressive Language Models Cannot Lead to Human-Level Intelligence
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Yann LeCun, a Turing Award winner and one of AI’s most influential figures, is leaving Meta after 12 years to found a startup focused on “advanced machine intelligence,” a vision that prioritizes self-supervised, visually grounded learning over today’s large language models. LeCun, who built Meta’s FAIR lab into a cornerstone of industry research, said his new venture will partner with Meta even as he diverges from the company’s LLM-centric strategy. His exit comes as investors debate whether the AI boom is peaking, with some executives warning of a looming correction that could reverberate through tech and beyond. LeCun has dismissed existential-risk fears as overblown, while critics argue he has minimized others’ contributions even as he challenges LLMs’ limits. The move spotlights the sharpening divide over how to reach human-level intelligence—and where the next wave of AI value will be created.

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