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Yann LeCun

Yann LeCun's file: convolutional networks, NYU, FAIR, open research, and a long-running argument for how machines should learn about the world.

LeCun helped make convolutional neural networks practical, built a long academic career at NYU, founded Facebook's fundamental AI lab, spent a decade arguing for open research and world models, then left Meta to build a new lab around an alternative path beyond language-model scaling.

Generated editorial portrait of Yann LeCun, a labeled sepia sketch-style mugshot crop from a nine-person rogues gallery grid.

HOW THE HELL DID YANN LECUN GET HERE?

  1. 1988

    THE CONVNET PIONEER ARRIVES AT BELL LABS

    After doctoral work and a Toronto postdoc, LeCun joined AT&T Bell Laboratories in 1988, where his neural-network research helped establish convolutional methods for computer vision.

    RECEIPTS: Meta AIfirst-party

  2. 2003

    HE MOVES THE DEEP-LEARNING PROGRAM TO NYU

    LeCun joined New York University as a professor in 2003 and later became founding director of the NYU Center for Data Science.

    RECEIPTS: Meta AIfirst-party

  3. Dec 2013

    FACEBOOK HANDS HIM A NEW AI LAB

    LeCun joined Facebook in 2013 to create Facebook AI Research, the fundamental-research organization later known as FAIR.

    RECEIPTS: Meta AIfirst-party

  4. Mar 27, 2019

    THE DEEP-LEARNING TRIO GETS THE TURING AWARD

    ACM named LeCun, Geoffrey Hinton and Yoshua Bengio recipients of the 2018 Turing Award for conceptual and engineering breakthroughs that made deep neural networks central to computing.

    RECEIPTS: ACMreported

  5. Nov 19, 2025

    HE LEAVES META TO BET AGAINST THE LLM CONSENSUS

    LeCun announced he would leave Meta at the end of 2025 to launch a company focused on Advanced Machine Intelligence and world-model research.

    RECEIPTS: Reutersreported

  6. Mar 10, 2026

    THE NEW WORLD-MODEL LAB RAISES A BILLION DOLLARS

    Advanced Machine Intelligence raised $1.03 billion at a $3.5 billion pre-money valuation to pursue LeCun's alternative approach built around reasoning, planning and world models.

    RECEIPTS: Reutersreported

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