Yann LeCun
LeCun
Yann LeCun is a Turing Award-winning AI researcher best known as a founding figure in deep learning and a long-time critic of the large language model paradigm. He spent 12 years as Meta's chief AI scientist before leaving at the end of 2025 to found AMI Labs, which raised over $1 billion to pursue world models—AI systems that build internal simulations of physical reality rather than predicting text tokens . His alternative architectural vision centers on JEPA (Joint Embedding Predictive Architecture), which compresses and predicts at the level of high-level representations in latent space rather than raw pixels or words . This stance has put him at odds with the "next token prediction produces intelligence" camp; as 5Y Capital noted in 2023, LeCun stands among the most prominent skeptics who deny that LLMs trained this way can achieve genuine intelligence . His intellectual lineage runs through a generation of researchers—one of his doctoral students at NYU, Zhaojunbo, later joined Tigerobo Technology in 2019 as its head of algorithms and frontier research .
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Coverage
It's 2026, and we're still evaluating World Models the way Edison tested filaments.
A Serious Discussion on World Models
Billions of years ago, living organisms built the first "world model."
How Far Are We From a World Model, Now That We've "Uploaded" a Fruit Fly Brain?
China's "Native" NEO Lab Takes On World Models, Backed by Hillhouse Capital and Peking University-Affiliated Funds in Multi-Million-Dollar Round
The "Final Stop" for AGI.
Ten Years of Entrepreneurship: The Stories of People Coming and Going in Kai Yu's Eyes at Horizon Robotics | Linear Voice
The only way to change the script is to change yourself.
The Parametric Reflection of the World: Why Next Token Prediction Produces Intelligence | 5Y View
Does GPT Already Possess Human-like Intelligence?
A Conversation with Tigerobo's Chen Ye: Escaping the Information Flood, Building the Gateway for the AI Era
The entry point for the PC era was search; for the mobile internet era, it was apps. Where will the information entry point be for the next era?





