person
Yann LeCun
Chief AI Scientist at Meta; outspoken AI-doom skeptic
Turing Award co-recipient and deep-learning pioneer who rejects existential risk arguments as 'preposterous' and argues current LLM paradigms will not produce AGI. Advocates open-source weights and dismisses the alignment-first framing as category-confused.
Profile
expertise
Frontier builder
Currently or recently led training, architecture, or safety work on a frontier model. Hands on the loss curve.
Chief AI Scientist at Meta. Turing Award 2018. Hands-on lead of FAIR's open-weight Llama line; convolutional networks (LeNet) and many of today's architectural primitives are his.
recognition
Household name
Name recognition outside the AI/CS community. Featured by mainstream press, a Wikipedia page in many languages, a published bestseller, or holds a position the lay public knows.
Most-followed AI researcher on social media. Frequent press, op-eds, congressional and EU testimony.
vintage
Symbolic era
Career started in the GOFAI / expert-systems / early-rationalist period. Vinge's 1993 Singularity, MIRI founded 2000, Bostrom and Yudkowsky writing.
LeNet 1989. Bell Labs 1988–1996. CNN architecture work pre-dates the deep-learning rise that vindicated it.
Hand-classified. See the board for the criteria and the full grid.
p(doom)
- 0%2023-12
Definition used: LeCun repeatedly places his p(doom) effectively at zero; <0.01% reported by aggregator.
PauseAI aggregated p(doom) list · PauseAI
Strategy positions
AI skepticendorses
AGI risk narratives overstated; real harms are mundane and currentHolds that the AI-extinction narrative is unfounded; frames the debate as a values discussion about control by large labs, not a technical risk.
“You're going to have to pardon my French, but that's complete B.S.”
Context: Response when asked by the Wall Street Journal whether AI could become smart enough to pose a threat to humanity.
Before we worry about controlling super-intelligent AI, we need to have the beginning of a hint of a design for a system smarter than a house cat.
Open sourceendorses
Release weights widely; transparency beats closed safetyHas pushed Meta toward open-weighting Llama models and argues open weights are necessary for diverse, safe AI.
The smartest among us do not want to dominate the others. The idea that because a system is intelligent, it wants to take control is completely false.
Closest strategy neighbours
by jaccard overlapOther people whose strategy tags overlap with Yann LeCun's. Overlap is on tag identity, not stance; opposites can show up if they reference the same tags.
Record last updated 2026-04-24.