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Yann LeCun

All AI minds
AI advancement report · generated from Yann LeCun's indicators

Yann LeCun — full AI read

Yann LeCun — Chief AI Scientist, Meta; Professor, NYU, Meta FAIR (United States) — ranks #2/520 on the AI Advancement Index (91.8). Known for Convolutional neural networks, 2018 Turing Award; leads Meta's open AI research. Strongest on Research influence (99.0, Leading).

Role
Chief AI Scientist, Meta; Professor, NYU
Affiliation
Meta FAIR
Country
United States
Field
Deep learning pioneer
Known for
Convolutional neural networks, 2018 Turing Award; leads Meta's open AI research

Dimension read

DimensionValueStandingWhat a high vs low value means — and where Yann LeCun sits
AAI AI Advancement (AAI)91.8Leading · #2/520High here — among the very top minds advancing AI.
▲ high: among the very top minds advancing AI  ·  ▼ low: lower relative influence within this elite set
Research influence Research influence99.0Leading · #3/520High here — field-defining research contributions.
▲ high: field-defining research contributions  ·  ▼ low: limited direct research influence
Frontier role Frontier role88.0Leading · #24/520High here — central to building today's frontier AI.
▲ high: central to building today's frontier AI  ·  ▼ low: removed from frontier development
Thought leadership Thought leadership93.0Leading · #5/520High here — shapes how the field and public think about AI.
▲ high: shapes how the field and public think about AI  ·  ▼ low: limited public/field influence
Field-building Field-building92.0Leading · #7/520High here — builds the field — mentorship, institutions, tools, community.
▲ high: builds the field — mentorship, institutions, tools, community  ·  ▼ low: limited field-building footprint
Momentum Momentum86.0Strong · #82/520High here — driving AI's advancement right now.
▲ high: driving AI's advancement right now  ·  ▼ low: less active at the current frontier

Strengths

  • Research influence (99.0, Leading) — field-defining research contributions.
  • Thought leadership (93.0, Leading) — shapes how the field and public think about AI.
  • Field-building (92.0, Leading) — builds the field — mentorship, institutions, tools, community.

Risk factors

  • A foundational researcher whose work much of the field is built on.
These are model outputs and scenarios, not forecasts of actual outcomes. This platform measures access to, utilization of, and leverage from cognitive infrastructure — not intelligence. No causality or certainty is claimed.