Yann LeCun

Yann LeCun (born 1960) is one of the founding fathers of modern AI. The French-American researcher pioneered convolutional neural networks at Bell Labs in the late 1980s — the architecture behind modern computer vision — and shared the 2018 Turing Award with Geoffrey Hinton and Yoshua Bengio. A longtime NYU professor, he served as Meta’s chief AI scientist from 2013 to 2025, where he championed open research and the open-weights strategy behind Llama.

The anti-doomer

Among AI’s three Turing-winning “godfathers,” LeCun is the dissenter from doom. While Hinton and Bengio warn of existential risk, LeCun has spent years publicly demolishing the premise — telling the Wall Street Journal in October 2024 that such worries are “complete B.S.” and quipping that today’s systems are dumber than a house cat, lacking persistent memory, reasoning, planning, and any model of the physical world. Regulation of AI research, he argues, would only entrench incumbents; openness is the safety mechanism.

His skepticism extends to the technology powering the boom: he has long argued that large language models are an off-ramp on the road to human-level intelligence, and that the future belongs to “world models” that learn from physical reality. That conviction cost him his perch — as Meta reorganized around commercial LLMs under its new Superintelligence Labs, LeCun departed in November 2025 to co-found Advanced Machine Intelligence (AMI) Labs in Paris, telling interviewers, “You certainly don’t tell a researcher like me what to do.” In March 2026 AMI announced a $1.03 billion seed round backed by Nvidia, Jeff Bezos, and Eric Schmidt.

LeCun’s position is a distinctive one: bullish on AI as a technology and amplifier of human intelligence, bearish on the specific hype and the specific fear surrounding LLMs — and contemptuous of anyone selling apocalypse.