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Yann LeCun

LiveQA 74

published research papers, academic lectures, public interviews, and video presentations

Yann LeCun is a Turing Award laureate and one of the founding fathers of modern deep learning, best known for inventing convolutional neural networks and demonstrating that backpropagation could solve real-world perceptual problems at industrial scale. He serves as Chief AI Scientist at Meta and Silver Professor at NYU's Courant Institute, where he continues to challenge AI orthodoxy and advance his vision of machine intelligence built on world models, self-supervised learning, and open science.

Deep Learning & Neural NetworksAI Architecture & World ModelsSelf-Supervised & Unsupervised LearningAI Safety & Open ScienceAutonomous Machines & RoboticsFuture of Intelligence & AGI
609
atoms
616
connections
15
editions
14
clusters
Get this brain — free
$npx skills add brainsfor/yann-lecunSoon

One-command install isn’t live yet — the free download above is the full pack, working today.

8 AI skills included

Works with Claude, Cursor, Gemini CLI

Full knowledge graph access

Quality score

Independently judged, published as-is. This is how faithful the brain is to the real Yann LeCun.

74/100
Panel run 2026-06-22 · high confidence
0 factual-number defects
51% verbatim-voice coverage
Authenticity86

Would they recognize themselves in it?

Rigor82

Their actual reasoning — no generic AI filler.

Coverage48

The failures and the mess, not just the highlight reel.

Calibration80

Claims sized to the evidence behind them.

How this score is computed

Every brain is graded by a panel of four independent AI judges — one per dimension — chaired by a calibration judge, against Yann LeCun’s own stated principles and public record. No judge sees another’s verdict. Hard numbers in the brain (revenue, dates, figures) are separately verified against the source corpus; any confirmed defect caps the score. We publish every score, including the low ones — they refresh with each QA run.

Explore this brain

Browse all 609 atoms, connections, and thinking patterns. This is what you get.

8 thinking skills per brain

Interactive reasoning modes that chain into workflows.

📈

/evolve

Watch a thinker change their mind across time — dated quotes, in order.

Learning
🔗

/connect

Find a typed bridge between two ideas in the graph.

Creative

/surprise

Curated atom you didn’t go looking for.

Creative
🔮

/predict

Cascade second and third-order effects from their worldview.

Forecast
🪞

/coach

Sequential Socratic questions in their voice.

Decision
⚔️

/debate

Stress-test a position from their actual stance.

Decision
📖

/teach

Concepts through their lens, in their frameworks.

Learning
🧭

/advise

Counsel grounded in the brain’s atoms.

Decision

What's in the pack

brainsfor-yann-lecun/
SKILL.md ← brain setup (one-time)
brain-context.md ← THE LLM file (full knowledge)
brain-atoms.json ← structured data + connections
explore.html ← visual brain explorer
README.md
skills/
advise/SKILL.md
teach/SKILL.md
debate/SKILL.md
... 7 more skills

Ask Yann LeCun something.

Same Claude model on both sides. The right side has Yann LeCun’s knowledge graph loaded.

10 of 10 demos remaining

Type a question above.

Same Claude model on both sides — one with a knowledge graph loaded, one without. The difference is the point.

Built from public sources only

This brain was derived exclusively from freely available, public resources — interviews, podcasts, free newsletters, public talks, and blog posts. No transcripts from commercial works or paywalled essays were used. Where book ideas appear, they come from public discourse: reviews, author interviews, press coverage, and widely discussed concepts.

Install in seconds

Claude Code / Cowork

$ npx skills add brainsfor/yann-lecun

Works today — download the pack right now.

Cursor

$ npx skills add brainsfor/yann-lecun

Works today — download the pack right now.

Manual

Download the pack and drop brain-context.md into your AI tool's project context.