482K+
Google Scholar citations (July 2026) — h-index 172 across 751 indexed publications. Among the most-cited computer scientists alive.
2018
ACM A.M. Turing Award — the "Nobel Prize of Computing" — shared with Yoshua Bengio and Geoffrey Hinton
$1.03B
AMI Labs seed round (March 2026) — largest seed-stage funding round in European history. $3.5B pre-money valuation.
Nov 2025
Departed Meta after 12 years founding and leading FAIR (Fundamental AI Research) — the most-covered AI executive exit of 2025
📰 LIVE CONTEXT: THE MOST-COVERED AI CAREER TRANSITION OF 2025–2026
At audit date, Yann LeCun is in the middle of the most closely watched AI industry story of the past twelve months. After 12 years building and leading Meta's Fundamental AI Research (FAIR) lab, LeCun departed in November 2025 following escalating tension over Meta's LLM-centric strategy under new Chief AI Officer Alexandr Wang. In interviews with the Financial Times and The Decoder, LeCun offered blunt, on-record criticism of Meta's direction — including confirming that Llama 4 benchmark results were "fudged" and describing Wang as "young" and "inexperienced." He founded Advanced Machine Intelligence Labs (AMI Labs) in December 2025 to build "world models" — an explicit, well-funded bet against the industry's LLM-centric consensus. In March 2026, AMI Labs announced a $1.03 billion seed round at a $3.5 billion pre-money valuation — the largest seed-stage round in European startup history — from Bezos Expeditions, NVIDIA, Samsung, Temasek, Toyota Ventures, Mark Cuban, and Eric Schmidt. This is not background biography. It is an active, ongoing, heavily-covered news story that is compounding LeCun's AI discoverability weekly as AMI Labs ships research and the press continues to track the LLM-vs-world-models debate he has staked his post-Meta career on.
OVERALL AI VISIBILITY SCORE
AI VISIBILITY
95
/100
ADOMINANT · #2 DATABASE
SCORE SCALE
F0–49Critical
D50–59High Risk
C60–69Moderate
B70–84Strong
A85–100Dominant ← 95
DIMENSION SCORES
D5Multi-Platform Presence96
D6Social Proof & Citations97
| DIMENSION | WT | SCORE | GRADE |
|---|
| D1 Brand Clarity | ×1.5 | 94 | A |
| D2 Content Depth | ×1.5 | 94 | A |
| D3 Entity Recognition | ×2.0 | 97 | A★ |
| D4 Structured Knowledge | ×2.0 | 91 | A |
| D5 Multi-Platform | ×1.5 | 96 | A |
| D6 Social Proof | ×2.0 | 97 | A★ |
| D7 AI Discoverability | ×2.0 | 97 | A★ |
| COMPOSITE SCORE | 95 | A · #2 |
Yann LeCun is the second-highest-scoring entity in the IdeaLab database, trailing only his fellow Turing Award co-recipient Yoshua Bengio. A French-American computer scientist born in Paris in 1960, LeCun invented the convolutional neural network (CNN) architecture that underpins virtually all modern computer vision, spent 12 years founding and leading Meta's Fundamental AI Research lab, and departed in November 2025 to found Advanced Machine Intelligence Labs — a startup that raised $1.03 billion in March 2026, the largest seed round in European history, to pursue his "world models" thesis as an explicit alternative to large language models. He holds the 2018 ACM Turing Award and the 2025 Queen Elizabeth Prize for Engineering, has 482,000+ Google Scholar citations, and maintains a confirmed, actively-updated Wikipedia article. What distinguishes this audit from Bengio's is timing: LeCun's profile is compounding in real time through an ongoing, heavily-covered news story rather than resting on settled institutional legacy.
🚀 AMI LABS: WHY THIS AUDIT SITS AT PEAK MOMENTUM, NOT SETTLED LEGACY
Unlike most of the personalities in the IdeaLab database, whose AI visibility reflects decades of accumulated, largely static institutional recognition, Yann LeCun's score reflects an entity in the middle of an active compounding event. AMI Labs (pronounced "ami," French for "friend") was announced from stealth on March 9–10, 2026, with $1.03 billion in seed funding at a $3.5 billion pre-money valuation — a round co-led by Cathay Innovation, Greycroft, Hiro Capital, and HV Capital, with Bezos Expeditions, NVIDIA, Samsung, Temasek, Toyota Ventures, Mark Cuban, and Eric Schmidt as backers. The company is headquartered in Paris with research hubs in New York, Montréal, and Singapore, led by CEO Alexandre LeBrun with LeCun as Executive Chairman. Every week AMI Labs ships research, gives interviews, or is referenced in the ongoing LLM-vs-world-models debate, LeCun's D7 AI Discoverability score compounds further. This is the opposite dynamic from a personality whose citation base is fixed — it is a live, ongoing news cycle that press outlets (MIT Technology Review, Reuters, Forbes, The Economist, Financial Times, The Decoder) continue to cover in real time.
INSTITUTIONAL RECOGNITION PORTFOLIO — WHY D6 SCORES 97/100
TURING AWARD · 2018
ACM A.M. Turing Award
The Nobel Prize of Computing. Shared with Bengio & Hinton for deep learning breakthroughs. Computing's highest honour since 1966.
2025
Queen Elizabeth Prize for Engineering
Shared with Bengio, Hinton, Bill Dally, John Hopfield, Jensen Huang, and Fei-Fei Li — "contributions to modern machine learning."
NATIONAL ACADEMIES
NAS + NAE + Académie des Sciences
Member of the US National Academy of Sciences, National Academy of Engineering, and the French Académie des Sciences — triple national academy membership.
5 HONORARY DOCTORATES
IPN Mexico · EPFL · Côte d'Azur · Siena · HKUST
Honorary doctorates spanning Mexico, Switzerland, France, Italy, and Hong Kong — a genuinely global academic recognition footprint.
MARCH 2026
AMI Labs — $1.03B Seed Round
Largest seed-stage round in European history. Backers: Bezos Expeditions, NVIDIA, Samsung, Temasek, Mark Cuban, Eric Schmidt.
2017
National Academy of Engineering
Elected "for developing convolutional neural networks and their applications in computer vision and other areas of AI."
2020
AAAI Fellow
Fellow of the Association for the Advancement of Artificial Intelligence — for contributions to deep learning and image recognition.
JAN 2026
Logical Intelligence — Founding Chair
Founding chair of the Technical Research Board of Logical Intelligence, an AI company developing energy-based reasoning systems.
THREE PROFILE-DEFINING FINDINGS
★ D3 + D6 + D7: all 97/100 — near-maximal across the three highest-weighted dimensions
LeCun scores 97/100 simultaneously on Entity Recognition, Social Proof, and AI Discoverability — the three ×2.0-weighted dimensions in the framework. Wikipedia, Wikidata, Google Scholar, ACM Awards database, and NAE/NAS/Académie des Sciences membership records create comprehensive, cross-referenced structured identity. Combined with the Turing Award, the Queen Elizabeth Prize, and $1.03B in fresh institutional investment from Bezos, NVIDIA, and Mark Cuban, no framework citation category is left unaddressed. Only Bengio's dual 100/100 scores (D3, D6) sit above this in the database.
★ The largest seed round in European history — a March 2026 news event still actively compounding AI discoverability
AMI Labs' $1.03B raise at a $3.5B valuation was covered by Reuters, Forbes, The Economist, MIT Technology Review, and dozens of technology and business outlets simultaneously. Unlike a static institutional credential, this is a live funding story with an ongoing product roadmap (JEPA, V-JEPA 2, "baby" world models within a year) that will generate fresh press coverage — and fresh AI training data — for years. Each subsequent AMI Labs milestone extends LeCun's D7 lead further.
✦ The Meta exit interviews — unusually candid, highly quotable, and widely syndicated
LeCun's on-record comments to the Financial Times and The Decoder — confirming Llama 4 benchmarks were "fudged," describing Meta's new AI chief as "young" and "inexperienced," and declaring "you certainly don't tell a researcher like me what to do" — generated an unusually high volume of syndicated coverage across tech press (Yahoo Finance, HackerNews front page, GuruFocus, TechBuzz, Marketing AI Institute). Candid, quotable exit commentary from a Turing Award laureate is rare and highly retrievable content that reinforces both D5 and D7.
7-DIMENSION BREAKDOWN — CLICK TO EXPAND
D1
Brand Clarity
wt ×1.5
94/100 · DOMINANTGODFATHER OF AI · CNN INVENTOR
94/100
▶
Brand Clarity scores how unambiguously an AI model identifies this entity. LeCun scores 94/100 — near the database ceiling. "Yann LeCun" as a name has essentially zero disambiguation risk (unlike, for example, "Didier Martin"), and the "Godfather of AI" group identity with Bengio and Hinton, combined with being the inventor of convolutional neural networks, creates a uniquely anchored professional identity. The 6-point gap from a perfect score reflects a genuine, temporary complication: his professional title changed twice within eight months (Meta Chief AI Scientist → departed → AMI Labs Executive Chairman), which creates brief resolution lag in AI systems trained on data that predates the transition.
✔"Inventor of convolutional neural networks (CNN)" — a specific, uncontested, technically foundational claim: Unlike broader "AI pioneer" framing, LeCun's CNN/LeNet work has a precise technical attribution that Wikipedia, academic literature, and AI systems consistently and uniquely credit to him. CNNs power the majority of modern computer vision — from bank check readers processing "more than 10% of all checks written in the US" at their peak, to Android smartphone camera translation features today. This is one of the most concrete, verifiable, singular technical attributions in the database.
✔"Godfather of AI" trio identity — Bengio, Hinton, LeCun — reinforces disambiguation via co-reference: As with Bengio's audit, every reference to the "Godfathers of AI" trio creates simultaneous triple-entity confirmation. LeCun's name is now permanently linked in structured data, press coverage, and academic citation to this small, globally recognised group.
✔"AMI" and "JEPA" — two coined terms now uniquely attributed to LeCun, creating fresh disambiguation anchors: LeCun coined "AMI" (Advanced Machine Intelligence, deliberately positioned against "AGI") and "JEPA" (Joint Embedding Predictive Architecture, 2022). Both terms are now the namesakes of his company and its core technology, respectively — creating a second generation of brand-clarity anchors beyond his historic CNN work, actively reinforced by ongoing AMI Labs press coverage.
△Title transition lag: "Meta Chief AI Scientist" vs. "AMI Labs Executive Chairman" creates brief resolution ambiguity: AI systems trained on data before November 2025 will default to "Meta Chief AI Scientist" — now outdated. Google Scholar's own profile header already reads "Executive Chairman AMI Labs & Jacob T Schwarz Professor, Courant Institute, New York University," confirming the update has propagated to major structured sources, but full propagation across all AI training corpora will take additional months.
✦ WHY 94 NOT HIGHER
The gap from a perfect score is a temporary artefact of an extraordinarily fast title transition (Meta → departure → AMI Labs Executive Chairman, all within about 4 months) rather than any underlying disambiguation weakness. This self-corrects as more 2026 training data and structured sources propagate the new title.
→ MINOR OPPORTUNITY
Ensure amilabs.ai (or equivalent) deploys Person JSON-LD with jobTitle: "Executive Chairman", alumniOf: "Meta Platforms (2013–2025)", and sameAs linking Wikipedia, Wikidata, Google Scholar, and NYU faculty page — accelerating title-transition resolution across AI systems.
D2
Content Depth
wt ×1.5
94/100 · DOMINANT751 PUBLICATIONS · 482K CITATIONS
94/100
▶
Content Depth scores volume, specificity, and crawlability of owned and attributed content. LeCun scores 94/100, reflecting 751 indexed academic publications generating 482,000+ citations, the seminal 2015 Nature "Deep Learning" review paper (co-authored with Bengio and Hinton), decades of foundational CNN and DjVu research, and an unusually active LinkedIn presence publishing technical commentary on JEPA, self-supervised learning, and current ICML 2026 research in real time.
✔751 publications, 482,000+ citations, h-index 172 — among the deepest academic content corpora in the database: LeCun's Google Scholar profile confirms 482,119+ citations (some trackers report slightly higher, up to 483,174) across 751 indexed publications as of July 2026. This spans four decades of foundational work: LeNet and convolutional neural networks, "Optimal Brain Damage" regularization, Graph Transformer Networks, DjVu image compression, the 2015 Nature deep learning review, and current JEPA/self-supervised learning research.
✔LinkedIn is an active, technical, near-real-time publishing channel — unusually rare for a scientist of this stature: LeCun's LinkedIn feed includes direct technical commentary on ICML 2026 papers ("Anatomy of Massive Activations and Attention Sinks"), podcast appearances discussing JEPA and world models in French media, and conference summaries from events like the RAISE Summit in Paris. This is content depth that most Turing Award laureates do not maintain — a living, current technical voice rather than a static legacy record.
✔Extensive long-form interview corpus: MIT Technology Review, Financial Times, The Decoder, Wired: The Meta departure and AMI Labs launch generated an unusually deep body of long-form, on-record interview content — the MIT Technology Review sit-down from LeCun's Paris apartment, the Financial Times interview on the Llama 4 controversy, and multiple Wired and Decoder interviews on JEPA and world models. This creates substantial, detailed, quotable primary-source content well beyond the typical press-release cycle.
△No confirmed dedicated personal blog or long-form written essay platform: Unlike Bengio's yoshuabengio.org, LeCun does not appear to maintain an independent personal blog for long-form written commentary outside of LinkedIn and interviews. Given his highly quotable, opinionated public voice on the LLM-vs-world-models debate, a dedicated long-form platform would extend D2 further and create additional citable primary-source material distinct from interview transcripts.
✦ LIVING CONTENT, NOT STATIC LEGACY
Unlike many high-D2 personalities whose content corpus is largely historic, LeCun's content is actively growing in 2026: new AMI Labs research, LinkedIn commentary on current ICML papers, and an ongoing press interview cycle. This creates a compounding rather than static D2 trajectory.
→ MARGINAL OPPORTUNITY
A dedicated long-form platform (personal site or Substack) for extended essays on world models and JEPA — distinct from LinkedIn's shorter format — would extend the content corpus and create citable primary sources independent of press interview intermediaries.
D3
Entity Recognition
wt ×2.0
97/100 · NEAR-PERFECTWIKIPEDIA · WIKIDATA · ACM · GOOGLE SCHOLAR
97/100
▶
Entity Recognition scores Wikipedia, Wikidata, and knowledge graph presence. LeCun scores 97/100 — the second-highest D3 in the database behind Bengio's perfect 100. The Wikipedia article is confirmed, extensive, and actively updated with 2026 developments (AMI Labs funding, Logical Intelligence chairmanship) already incorporated at audit date — a strong signal of ongoing editorial maintenance by the Wikipedia community. Every major academic knowledge graph carries a confirmed, comprehensive entity.
✔Wikipedia article — confirmed, extensive, and already updated with March 2026 AMI Labs funding details: The English Wikipedia article for Yann LeCun is comprehensive, citing Reuters, Forbes, The Economist, and Businesswire for the AMI Labs raise, and Washington Post/New York Times for the Turing Award. The article's currency — incorporating a funding round from just months before this audit — demonstrates active, high-quality editorial maintenance, which is itself a strong AI-training-data-relevance signal.
✔Wikidata entity — cross-referenced with the 2015 Nature paper's own Wikidata entry (Q28018765): LeCun's Wikidata entity links not only to his personal structured record but to a Wikidata entity for his own seminal publication (the 2015 "Deep Learning" Nature paper), creating a doubly-anchored structured knowledge graph presence — the person and his most-cited work are both independently confirmed nodes.
✔ACM Turing Award database, Google Scholar, and NYU faculty page — three independently confirmed structured identity sources: The ACM's own award laureate page (amturing.acm.org) hosts a detailed biography with primary-source-quality detail on his Bell Labs and DARPA-era work. Google Scholar confirms his current AMI Labs / NYU dual affiliation. NYU's Courant Institute faculty page anchors his ongoing academic role as Jacob T. Schwartz Professor.
△Marginal gap vs. Bengio's perfect D3: AMI Labs' own structured web presence is 7 months old and still maturing: Unlike Bengio's LawZero (13 months old at his audit) and long-established Mila profile, AMI Labs' own website and structured data infrastructure is younger and still being built out. This is the primary source of LeCun's 3-point gap from a perfect D3 score — not a weakness in LeCun's personal entity recognition, but in his newest affiliated organization's structured maturity.
✦ SECOND-HIGHEST D3 IN DATABASE
97/100 trails only Bengio's perfect 100. The gap is almost entirely attributable to AMI Labs' younger structured web presence compared to Bengio's more mature LawZero and long-standing Mila profile — not to any deficiency in LeCun's personal Wikipedia/Wikidata/Scholar infrastructure, which is comprehensive and actively maintained.
✔ CONFIRMED STRUCTURE
Wikipedia (extensive, current) + Wikidata (cross-linked to publication entities) + ACM Awards database + Google Scholar + NYU faculty page + LinkedIn (highly active). This is a near-complete structured identity across every major knowledge system.
D4
Structured Knowledge
wt ×2.0
91/100 · DOMINANTGOOGLE SCHOLAR · NYU · ACM · LINKEDIN
91/100
▶
Structured Knowledge scores schema markup completeness and AI crawl signals. LeCun scores 91/100, reflecting comprehensive structured presence across Google Scholar, NYU's faculty directory, the ACM Awards database, and LinkedIn's structured professional graph. The gap to a Bengio-level 94+ reflects AMI Labs' younger corporate structured data (still building out full Organization and Person schema deployment) and the absence of a confirmed dedicated personal website with Person JSON-LD equivalent to Bengio's yoshuabengio.org.
✔Google Scholar profile — fully structured, current, dual-affiliation confirmed: LeCun's Google Scholar profile header already reflects his current title ("Executive Chairman AMI Labs & Jacob T Schwarz Professor, Courant Institute, New York University") with structured citation-by-year data extending through 2026, confirming the profile is actively maintained rather than a stale legacy record.
✔NYU Courant Institute faculty page — structured academic institutional profile anchoring his ongoing role: As the Jacob T. Schwartz Professor of Computer Science, LeCun maintains a structured faculty profile at one of the world's leading centres for applied mathematics and computer science — an anchor that persists independently of his industry career transitions.
✔LinkedIn's structured professional graph — active, current, and cross-linked to AMI Labs' company page: LeCun's LinkedIn profile is linked to the "AMI - Advanced Machine Intelligence" company page, creating a structured Person-Organization relationship that LinkedIn's own knowledge graph and search-indexed pages surface for queries about both the individual and the company.
△AMI Labs' own website structured data is still maturing at 7 months old: As a company that emerged from stealth only in March 2026, AMI Labs' public web presence — Organization JSON-LD, Person JSON-LD for leadership team, LLMs.txt — is likely still being built out relative to more established organizations in the database. This is the primary source of the gap between LeCun's D4 and a theoretical maximum.
✦ STRONG, ACTIVELY MAINTAINED STRUCTURE
Google Scholar, NYU, ACM, and LinkedIn structured profiles are all current and cross-referenced. This is well above the database average and reflects both LeCun's personal maintenance discipline and the institutional quality of his academic affiliations.
→ MARGINAL OPPORTUNITY
Ensure AMI Labs deploys full Organization JSON-LD (funding round, investors, leadership team with Person entities cross-linked via sameAs to Wikidata/LinkedIn) and an LLMs.txt prioritising JEPA/world-models research content as AMI Labs' website infrastructure matures over the coming months.
D5
Multi-Platform Presence
wt ×1.5
96/100 · DOMINANTFT · REUTERS · MIT TECH REVIEW · THE ECONOMIST · WIRED
96/100
▶
Multi-Platform Presence scores distribution across channels where AI models train and retrieve. LeCun scores 96/100 — an extraordinary cross-domain footprint spanning tier-1 global press (Financial Times, Reuters, MIT Technology Review, The Economist, Forbes, Wired, Yahoo Finance, Washington Post, New York Times), an active LinkedIn presence with cross-lingual content (English and French), major conference platforms (RAISE Summit Paris, ICML 2026), and French national media given his dual French-American identity and Paris-headquartered new venture.
✔Simultaneous tier-1 coverage across business, tech, and general news press: The AMI Labs funding announcement and Meta departure generated coverage across Financial Times (business/finance), Reuters (wire/global), MIT Technology Review (deep tech), The Economist (policy/business), Forbes (business), Wired (tech culture), and general news outlets (Yahoo Finance, Washington Post). This breadth across editorial categories exceeds most personalities in the database — few stories generate simultaneous coverage across finance, deep tech, and general news press.
✔Cross-lingual French media presence — a distinctive dimension unique to LeCun in this database: As a French-American with a Paris-headquartered company, LeCun appears in French-language media (podcast "À La French," Ecole polytechnique events) alongside English-language global press — creating a genuinely bilingual, cross-national platform footprint that reinforces his positioning as a credible "neither Chinese nor American" AI leader, per his own MIT Technology Review framing.
✔LinkedIn as an active, current technical and news distribution channel: Confirmed recent LinkedIn activity includes RAISE Summit Paris coverage, ICML 2026 paper commentary, and podcast promotion — demonstrating LinkedIn is not a dormant profile but an actively maintained distribution channel reaching a professional AI research audience.
✔Conference speaker platform — RAISE Summit, Ecole polytechnique, and academic conference circuit: LeCun's appearance at RAISE Summit's AI gala in Versailles and continued Ecole polytechnique engagement anchor an ongoing European conference speaker presence that complements his historic NeurIPS/ICML/CVPR academic keynote history.
✦ CROSS-DOMAIN, CROSS-LINGUAL BREADTH
Business press + deep tech press + general news + French national media + LinkedIn + academic conferences + podcast appearances. Few personalities in the database combine this breadth of platform categories with genuinely bilingual (English/French) reach.
→ MARGINAL OPPORTUNITY
A confirmed X/Twitter presence with consistent posting cadence (if not already fully leveraged) would extend the platform footprint further, given how much of the AI research community's real-time discourse happens on that platform specifically.
D6
Social Proof & Citations
wt ×2.0
97/100 · NEAR-PERFECTTURING · QEP · $1.03B · BEZOS · NVIDIA · CUBAN
97/100
▶
Social Proof & Citations scores quality and authority of third-party references. LeCun scores 97/100 — the second-highest in the database. His portfolio spans academic (Turing Award, 482K citations, Nature deep learning review paper), institutional (National Academy of Sciences, National Academy of Engineering, French Académie des Sciences, 5 honorary doctorates), engineering (2025 Queen Elizabeth Prize alongside Bengio, Hinton, Jensen Huang, and Fei-Fei Li), and commercial investment (Bezos Expeditions, NVIDIA, Mark Cuban, Eric Schmidt backing AMI Labs at a $3.5B valuation).
✔2018 ACM Turing Award — shared with Bengio and Hinton for deep learning breakthroughs: As with Bengio's audit, the Turing Award represents the single highest institutional citation available in computer science, permanently anchoring "Turing Award laureate" attribution across all subsequent academic and press references.
✔2025 Queen Elizabeth Prize for Engineering — a second major joint award alongside Bengio, Hinton, Jensen Huang, and Fei-Fei Li: Sharing this award with NVIDIA's CEO (Jensen Huang) and Fei-Fei Li (Stanford, World Labs founder) — in addition to Bengio and Hinton — creates a citation network spanning academia and industry leadership simultaneously, reinforcing LeCun's position at the intersection of both worlds.
✔$1.03 billion from Bezos Expeditions, NVIDIA, Samsung, Temasek, Toyota Ventures, Mark Cuban, and Eric Schmidt — an extraordinary commercial endorsement portfolio: This funding syndicate is not purely ideological — it includes NVIDIA (whose revenue depends on whichever AI paradigm prevails), sovereign wealth funds (Temasek) with long-horizon infrastructure mandates, and individually recognisable tech investors (Bezos, Cuban, Schmidt). Seven independently credible institutional and individual investors backing a research-heavy, pre-revenue, pre-product seed-stage company at a $3.5B valuation is a citation of confidence with few parallels in the database.
✔Triple national academy membership — National Academy of Sciences, National Academy of Engineering, and the French Académie des Sciences: Membership across three of the world's most prestigious national scientific academies, spanning both the United States and France, reinforces LeCun's dual American-French institutional standing.
✔French presidential attention — Emmanuel Macron reportedly texted LeCun after the AMI Labs news broke: While LeCun declined to disclose the message's content, the reported fact of direct communication from the French head of state underscores the national significance attached to AMI Labs' Paris headquartering — a distinctive form of soft political citation not present elsewhere in the database.
✦ SECOND-HIGHEST D6 IN DATABASE
97/100, trailing only Bengio's perfect 100. LeCun's D6 is distinguished from Bengio's by a heavier weighting toward fresh, commercially-validated citation (the $1.03B raise) rather than exclusively institutional/academic citation — a genuinely different and complementary category of social proof.
✔ BENCHMARK NOTE FOR DATABASE
LeCun's D6 = 97 sits just below Bengio's ceiling of 100. Both "Godfathers of AI" occupy the top two D6 positions in the database — a natural clustering given their shared Turing Award and now shared Queen Elizabeth Prize.
D7
AI Discoverability
wt ×2.0
97/100 · NEAR-PERFECTACTIVELY COMPOUNDING · LIVE NEWS CYCLE
97/100
▶
AI Discoverability scores how reliably LeCun surfaces in AI-generated responses for his target queries. He scores 97/100 — matching his D3 and D6 scores at the second-highest tier in the database. This reflects dominance across every query category his entity spans: convolutional neural networks, deep learning history, the Turing Award, JEPA, world models, AMI Labs, the Meta AI leadership shakeup, and the broader LLM-vs-world-models industry debate. Unlike most entities in the database, LeCun's D7 score is actively increasing week-over-week as AMI Labs generates fresh, indexed news coverage.
✔Dominant for CNN, deep learning history, and Turing Award queries — foundational AI training data anchor: Any AI system asked "who invented convolutional neural networks?" or "who are the Godfathers of AI?" returns Yann LeCun with complete confidence, alongside Bengio and Hinton. This foundational-history query category is permanently settled in his favour.
✔Dominant for "world models," "JEPA," and "LLM alternative" queries — the exact query category his post-Meta career is built around: As the most prominent, well-funded, and vocal critic of the LLM-centric consensus, LeCun surfaces reliably for queries about alternatives to large language models, world models, and the JEPA architecture — a query category he has spent the past several years actively cultivating and which AMI Labs' funding has now dramatically amplified.
✔Dominant for "Meta AI leadership" and "AI industry shakeup 2025-2026" queries — an ongoing news category: Queries about Meta's AI strategy changes, the departure of senior AI researchers, or the LLM-vs-alternative-architecture industry debate reliably surface LeCun given the volume and specificity of his on-record commentary across Financial Times, The Decoder, and other outlets.
✔Growing dominance for "AMI Labs" and "largest European seed round" queries — a fresh, still-compounding query category: As the largest seed-stage funding event in European startup history, "AMI Labs funding" and "largest European AI seed round" are new query categories where LeCun's name is establishing dominant retrieval position in real time, with each subsequent AMI Labs milestone reinforcing the connection.
✦ WHY D7 IS ACTIVELY COMPOUNDING, NOT STATIC
Most personalities in the database have a D7 score that reflects accumulated historic visibility with a relatively flat forward trajectory. LeCun's D7 is unusual: it is compounding weekly as AMI Labs ships research, gives interviews, and remains a live subject of the LLM-vs-world-models industry debate. Barring a major setback, D7 is likely to be higher at the next audit than it is today.
→ GROWTH TRAJECTORY
As AMI Labs ships its first "baby" world model demonstrations (targeted within a year of the March 2026 announcement) and continues the JEPA/V-JEPA 2 research cadence, each milestone will generate fresh, indexed press coverage that further cements LeCun's position in AI discoverability for the world-models query category specifically.
CONFIRMED ENTITY INFRASTRUCTURE
✔ CONFIRMED ENTITY INFRASTRUCTURE
✔Wikipedia article — extensive, actively updated through March 2026 AMI Labs funding
✔Wikidata entity — cross-linked to the 2015 Nature "Deep Learning" paper's own Wikidata entry
✔ACM Turing Award laureate page (amturing.acm.org) — detailed primary-source biography
✔Google Scholar profile — current, dual-affiliation confirmed, 482K+ citations
✔NYU Courant Institute faculty page — Jacob T. Schwartz Professor
✔LinkedIn — highly active, cross-lingual, current technical commentary
✔AMI Labs company page and structured LinkedIn Organization presence
✔ CONFIRMED SOCIAL PROOF
✔ACM A.M. Turing Award 2018 (with Bengio and Hinton)
✔Queen Elizabeth Prize for Engineering 2025 (with Bengio, Hinton, Dally, Hopfield, Huang, Fei-Fei Li)
✔National Academy of Sciences + National Academy of Engineering + Académie des Sciences
✔5 honorary doctorates: IPN Mexico, EPFL, Université Côte d'Azur, Università di Siena, HKUST
✔AMI Labs $1.03B seed round — Bezos Expeditions, NVIDIA, Samsung, Temasek, Mark Cuban, Eric Schmidt
✔Founding Chair, Technical Research Board, Logical Intelligence (Jan 2026)
✔Reported direct communication from French President Emmanuel Macron
MARGINAL OPPORTUNITIES — PATH FROM 95 TO 98+
O1D4 · D3
Mature AMI Labs' structured web presence as the company builds out its public site
+2–3 pts on D3, D4
NATURAL MATURATION · 7 MONTHS OLD
AMI Labs' own structured data infrastructure (Organization JSON-LD, Person JSON-LD for leadership team including LeCun as Executive Chairman, LLMs.txt prioritising JEPA/world-models research) is naturally still maturing as a 7-month-old company. As this infrastructure builds out — likely a natural part of AMI Labs' own marketing and technical roadmap — LeCun's D3 and D4 scores will approach Bengio's ceiling of 100 for the same reason LawZero's maturation lifted Bengio's own D3/D6.
O2D1
Complete title-transition propagation across remaining AI training corpora
+2–3 pts on D1
TIME-DEPENDENT · SELF-CORRECTING
The transition from "Meta Chief AI Scientist" to "AMI Labs Executive Chairman" is already reflected in Wikipedia and Google Scholar, but will take additional months to fully propagate across the training corpora of AI systems with earlier knowledge cutoffs. This is a naturally self-correcting gap that requires no additional action beyond continued structured data maintenance.
O3D2
Consider a dedicated long-form platform for extended world-models essays
+1–2 pts on D2
OPTIONAL · ALREADY STRONG
A dedicated personal site or Substack for long-form technical essays on JEPA, world models, and the LLM debate — distinct from LinkedIn's shorter format and interview transcripts — would extend the owned content corpus and create citable primary-source material independent of press intermediaries, similar to Bengio's use of yoshuabengio.org for the LawZero launch essay.
BENCHMARK — YANN LECUN vs. FULL IDEALAB DATABASE
Yoshua Bengio · Turing Award · 1M Citations · LawZero97
★ Yann LeCun · Turing Award · AMI Labs $1.03B ◀ THIS AUDIT · #295
Alex Hormozi · Business / Offer Creation · Wikipedia87
Aleyda Solis · International SEO + AI Search86
Lily Ray · SEO / AI Search Expert84
Lenny Rachitsky · Product Management83
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* IdeaLab AI Visibility OS v1.1. Yann LeCun and Yoshua Bengio now occupy the top two positions in the database — a natural result of their shared Turing Award and shared 2025 Queen Elizabeth Prize for Engineering. The 2-point gap between them is driven almost entirely by AMI Labs' younger structured web infrastructure (7 months old) compared to LawZero's slightly more mature profile at Bengio's audit, and by the brief title-transition lag following LeCun's November 2025 Meta departure. Both gaps are self-correcting over the coming months. Notably, LeCun's D7 AI Discoverability trajectory is currently the most actively compounding in the entire database — each week AMI Labs generates fresh, indexed coverage of the LLM-vs-world-models debate, reinforcing his position further.
AUDIT VERDICT
Yann LeCun scores 95/100 — Grade A Dominant — the second-highest score in the IdeaLab AI Visibility OS database, trailing only his fellow Turing Award co-recipient Yoshua Bengio by two points. The two "Godfathers of AI" audited so far occupy the top of the database for the same structural reason: a shared Turing Award, a shared 2025 Queen Elizabeth Prize for Engineering, comprehensive Wikipedia/Wikidata infrastructure, and citation portfolios that satisfy nearly every category the IdeaLab framework measures.
What distinguishes this audit is timing. Bengio's 97 reflects three decades of largely settled institutional legacy. LeCun's 95 reflects an entity in the middle of an unusually dramatic and well-documented career transition: 12 years building and leading Meta's FAIR lab, an unusually candid public departure in November 2025 that included on-record criticism of Meta's AI leadership and confirmation that Llama 4 benchmarks were manipulated, and the founding of Advanced Machine Intelligence Labs — a company that raised $1.03 billion in March 2026, the largest seed round in European startup history, from a syndicate spanning Jeff Bezos, NVIDIA, Mark Cuban, Eric Schmidt, and sovereign wealth fund Temasek.
The 5 points between LeCun's score and a perfect 100 are concentrated in two temporary, self-correcting factors: AMI Labs' structured web infrastructure is still maturing at only 7 months old, and LeCun's professional title is still propagating across AI training corpora following his rapid transition from "Meta Chief AI Scientist" to "AMI Labs Executive Chairman." Neither reflects any underlying weakness in LeCun's personal entity recognition, which is comprehensive across Wikipedia, Wikidata, Google Scholar, the ACM Awards database, and NYU's faculty directory.
Unlike most entities in this database, whose scores reflect a largely fixed historic legacy, LeCun's D7 AI Discoverability score is actively compounding in real time. As AMI Labs ships its first world-model research milestones over the coming year — and as the broader LLM-vs-world-models debate LeCun has staked his post-Meta career on continues to generate press coverage — the gap to Bengio's 97 is likely to close, and possibly close from above. This is the single most dynamically evolving profile in the IdeaLab database at audit date.
AUDIT DATABASE RECORD
| entity_name | Yann LeCun (Yann André LeCun) |
| primary_affiliations | Executive Chairman, Advanced Machine Intelligence Labs (AMI Labs) · Jacob T. Schwartz Professor, Courant Institute, New York University |
| entity_type | Personality — computer scientist, AI researcher, startup founder/chairman, academic professor |
| location | Paris, France (AMI Labs HQ) · New York, NY (NYU) · Born Paris, France, July 8, 1960 · French-American |
| prior_role | Chief AI Scientist & founding director, Meta Fundamental AI Research (FAIR), 2013–November 2025 (12 years) |
| audit_date | 2026-07-14 · IdeaLab AI Visibility OS v1.1 |
| live_context | Departed Meta Nov 2025 · Founded AMI Labs Dec 2025 · $1.03B seed round announced March 9–10, 2026 at $3.5B pre-money valuation — largest seed round in European history |
| composite_score | 95 / 100 — Grade A · Dominant · #2 in IdeaLab database (behind Yoshua Bengio, 97) |
| D1_brand_clarity | 94 · A — "Inventor of CNN," "Godfather of AI" trio with Bengio/Hinton, coined "AMI" and "JEPA." Minor title-transition lag (Meta → AMI Labs) still propagating across AI training corpora. |
| D2_content_depth | 94 · A — 751 publications, 482K+ citations. Active LinkedIn technical commentary (ICML 2026, JEPA). Extensive long-form interview corpus: MIT Tech Review, Financial Times, The Decoder, Wired. No dedicated personal blog. |
| D3_entity_recognition | 97 · A★ — Wikipedia (extensive, current through March 2026). Wikidata cross-linked to 2015 Nature paper entity. ACM Turing Award database. Google Scholar. NYU faculty page. Second-highest D3 in database behind Bengio's perfect 100. |
| D4_structured_knowledge | 91 · A — Google Scholar, NYU, ACM, LinkedIn all current and cross-referenced. AMI Labs' own structured web presence still maturing at 7 months old — primary source of the D4 gap. |
| D5_multiplatform | 96 · A — FT, Reuters, MIT Tech Review, The Economist, Forbes, Wired, Yahoo Finance, Washington Post, NYT + French media (bilingual) + LinkedIn + RAISE Summit / Ecole polytechnique conference circuit. |
| D6_social_proof | 97 · A★ — Turing Award 2018. Queen Elizabeth Prize 2025 (with Bengio, Hinton, Huang, Fei-Fei Li). NAS + NAE + Académie des Sciences. 5 honorary doctorates. AMI Labs $1.03B from Bezos/NVIDIA/Cuban/Schmidt/Temasek. Reported Macron text message. |
| D7_ai_discoverability | 97 · A★ — Dominant for CNN/deep-learning-history, world-models/JEPA, Meta AI shakeup, and AMI Labs funding queries. Actively compounding week-over-week — the most dynamically evolving D7 trajectory in the database. |
| defining_context | Left Meta Nov 2025 after 12 years leading FAIR, citing philosophical disagreement over LLM-centric strategy. Founded AMI Labs Dec 2025 to pursue "world models" (JEPA architecture) as explicit LLM alternative. Raised largest European seed round in history, March 2026. |
| vs_bengio | Bengio 97 vs LeCun 95. Bengio's D3/D6 = perfect 100/100 (30-year institutional legacy, mature LawZero). LeCun's D3/D6/D7 = 97/97/97 (comprehensive but AMI Labs' 7-month-old infrastructure and title-transition lag cost 2–3 points). LeCun's D7 trajectory is the most actively compounding in the database. |
| projected_12months | 96–98 / 100 — as AMI Labs' structured web presence matures, title-transition fully propagates, and world-models research milestones generate continued press coverage. |
| auditor | IdeaLab.ai · AI Visibility OS v1.1 · idea-lab.ai/audits |
UNDERSTAND WHERE YOUR BRAND SITS AGAINST THE BENCHMARK
Yann LeCun scores 95/100. The database average is 79.
Where does your brand sit?
LeCun's score shows something rare: an entity infrastructure that compounds in real time as news breaks, rather than sitting static. Every audit in this database shows the same underlying levers — Wikidata, Person JSON-LD, structured citations — at different stages of maturity.