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Yann LeCun
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Yann LeCun

AI researcher; founder, AMI Labs

Deep learning researcher who left Meta in 2026 to found AMI Labs, pursuing an alternative to today's large language models.

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#X#AI#research#machine-learning

Key arguments & positions

  • Argues large language models are fundamentally limited and cannot reach human-level intelligence; advocates "world models" that learn by predicting the physical world instead.
  • A prominent public skeptic of near-term AGI and "AI doom" narratives.
  • Champions open-source AI research.

Accomplishments

  • Co-invented convolutional neural networks.
  • Shared the 2018 ACM Turing Award with Geoffrey Hinton and Yoshua Bengio.
  • Led Meta's AI research organization (FAIR) as Chief AI Scientist for over a decade.
  • Founded AMI Labs (2026) after leaving Meta, raising roughly $1 billion in seed funding for "world model" research.

Papers & key writings

Links

Jobs

What they've said in public about careers, hiring and work. Each point links to its source.

  • Career advice

    Advises students to "learn things that have a long shelf life" — mathematics, physics, engineering, signal processing, control theory — rather than trendy topics. "If you had a choice between mobile app programming and quantum mechanics, take quantum mechanics."

    LinkedIn post (LeCun's advice for the AI age), April 2026
  • Public position

    Argues that AI isn't replacing workers but making them managers: "Even at a junior level, you'll probably be managing a team of AI agents. But you still need to understand what they're doing." He also says "don't listen to CEOs" about AI job impact because they have a vested interest in hyping the products they sell.

    LinkedIn post (LeCun's advice for the AI age), April 2026

Timeline

  1. 1989Applies convolutional networks to handwritten digit recognition at Bell Labs.
  2. 2013Founds Facebook AI Research and becomes its director.
  3. 2015Co-writes the Nature review "Deep Learning" with Bengio and Hinton.
  4. 2018Shares the Turing Award with Bengio and Hinton.
  5. 2022Publishes "A Path Towards Autonomous Machine Intelligence".

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