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Meta AI Chief Yann LeCun Poised to Launch Startup Focused on World Models

Meta AI Chief Yann LeCun Poised to Launch Startup Focused on World Models
TechCrunch

Yann LeCun’s Planned Departure

According to a report that cites anonymous sources, Yann LeCun, Meta’s chief AI scientist, intends to leave the company in the coming months to launch his own startup. LeCun, a professor at New York University and a senior researcher at Meta, is also a recipient of the prestigious A.M. Turing Award. He is reportedly in talks to raise capital for a venture that would focus on developing "world models," AI systems that create an internal representation of their environment to simulate cause‑and‑effect scenarios and predict outcomes. The report notes that other leading labs and startups, such as Google DeepMind and World Labs, are pursuing similar research.

Meta’s Ongoing AI Reorganization

LeCun’s potential exit coincides with a period of significant change within Meta’s AI organization. The company has recently launched a new unit called Meta Superintelligence Labs (MSL) after hiring more than 50 engineers and researchers from rival firms. In addition, Meta invested heavily in data‑labeling vendor Scale AI, committing $14.3 billion and appointing Scale’s CEO, Alexandr Wang, to lead the new division. Sources describe the environment at Meta’s AI labs as increasingly chaotic, with new talent frustrated by navigating the bureaucracy of a large corporation.

The traditional Fundamental AI Research Lab (FAIR) at Meta, where LeCun has conducted long‑term research, is now operating alongside the newer MSL unit. FAIR is intended to focus on research with a horizon of five to ten years, whereas MSL is geared toward more immediate product‑oriented goals. The restructuring follows a setback with Meta’s Llama 4 model, which reportedly fell behind competing models from OpenAI, Google, and Anthropic.

LeCun’s View on Current AI Trends

LeCun has publicly expressed skepticism about the prevailing hype surrounding large language models (LLMs) and generative AI. In a tweet, he wrote, "It seems to me that before ‘urgently figuring out how to control AI systems much smarter than us’ we need to have the beginning of a hint of a design for a system smarter than a house cat." This comment underscores his belief that more foundational advances are needed before addressing safety and control concerns.

While Meta has not immediately responded to requests for comment, the company’s recent strategic moves suggest an effort to accelerate its AI capabilities and address competitive pressures. LeCun’s departure, if it occurs, would remove a prominent figure from Meta’s AI leadership at a critical juncture.

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Source: TechCrunch

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