ClaimsPeople

Yann LeCun

Yann LeCun is a computer scientist who shared the 2018 ACM Turing Award, is a Jacob T. Schwartz Professor at NYU's Courant Institute, was Meta's Chief AI Scientist and founding director of FAIR, and is Executive Chairman of AMI Labs.

1,175 claims collected, 197 researched, 84 resolved. Report of 4 November 2026, method 0.1.0+c876030c.

Scores by kind of claim

Each kind of claim is scored on its own, out of 100: the share that held up, with the range it likely falls in. Fewer resolved claims give a wider range.

  • Factual claims

    Statements about the present or the past, checked against the record: did they hold up?

    78 72 83

    High confidence, 79 factual claims resolved. From 16 documents, 2006 to 2026; 19 documents sampled from 33 candidates found.

    Not scored: 43 unresolvable.

    See the factual claims

  • Predictions

    Statements about events outside the person's control, checked once they fell due: did they come true?

    64 43 83

    Low confidence, 5 predictions resolved. From 4 documents, 2010 to 2024; 19 documents sampled from 33 candidates found.

    Not scored: 66 unresolvable. 3 more fall due later.

    Does not yet allow for how likely each prediction was when made.

    See the predictions

  • Promises

    Commitments to the person's or organisation's own future action, with something to deliver: was it delivered?

    Insufficient record: 0 promises resolved, 5 needed for a score.

    Not scored: 1 unresolvable.

    See the promises

All types combined: 77 (likely 71 to 82, high confidence), from 84 claims: 79 factual claims, 5 predictions. It mixes kinds of claim in different proportions for different people, so compare people kind by kind.

Yann LeCun's claims

5 claims

5 claims, sorted by newest said. Choose a claim to read it in full.
VerdictKindSaidClaimTopic
Mostly true Prediction 8 Mar 2024 Search engines will increasingly be replaced by dialogue systems that answer questions and perhaps point to appropriate references. Prediction · 8 Mar 2024 AI capabilities
Mostly true Prediction 2019 Usage of graph neural networks will increase for a wide variety of applications likely to violate the assumptions of current deep learning hardware. Prediction · 2019 AI compute, hardware and data
Mostly true Prediction 2019 As DL is used for high-level cognitive tasks, memory modules will become commonplace and very large, requiring hardware support. Prediction · 2019 AI compute, hardware and data
Mostly true Prediction 18 Feb 2015 Natural language understanding will be the next frontier for Deep Learning. Prediction · 18 Feb 2015 AI timelines and forecasting
Mostly true Prediction 2010 In the next decade, a major challenge of computer vision, machine learning and AI will be devising methods that learn good feature hierarchies from unlabeled and labeled data in an integrated fashion. Prediction · 2010 AI capabilities
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Yann LeCun

Open its page

Prediction AI capabilities

“Increasingly, the search engines that we’re going to use are not going to be search engines, they’re going to be dialogue systems”

Yann LeCun, interviewee 8 March 2024 Transcript for Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI (Lex Fridman Podcast)

Search engines will increasingly be replaced by dialogue systems that answer questions and perhaps point to appropriate references.

Mostly true True in substance, wrong in a detail.

The second judge said mixed; the verdict shown is the first judge's.

What would count as true or false

There is no stated horizon, so judge with evidence available at evaluation time. The claim is that people will increasingly get information from dialogue systems that answer questions and point to references, in place of traditional list-of-links search engines. True: usage data or industry reports show a clear upward trend in information-seeking through conversational, answer-giving systems with references, and major search engines have become dialogue or answer systems or added them. Examples: ChatGPT search, Perplexity, Google AI Overviews or AI Mode, Bing Copilot. Mostly true: the trend is clearly upward, but the systems usually do not point to references, or traditional search is changing only in part. Mixed: dialogue-based search is growing, but the evidence on whether it is displacing traditional search is mixed. Mostly false: conversational systems exist but take only a stagnant or negligible share of search. False: data show that conversational answer systems are flat or declining as a way to search, and traditional search engines have not moved toward dialogue.

Evidence

  1. Q3 2026 earnings call: Remarks from our CEO Google (Alphabet earnings remarks by Sundar Pichai) · 28 October 2026
    “We are building one seamless experience across AI Overviews, AI Mode, and traditional Search.”
  2. AI Chatbot Market Share: ChatGPT vs Gemini vs Claude Exploding Topics (owned by Semrush) · 2 November 2026
    “Together, they received 8.21 billion visits in June 2026, up 41.5% from 5.80 billion in June 2025.”
  3. AI Chatbot Market Share: ChatGPT vs Gemini vs Claude Exploding Topics (owned by Semrush) · 2 November 2026
    “Google still dominates search. Google had 89.94% of worldwide search engine market share in September 2026, according to Statcounter, down slightly from 90.38% a year earlier.”
  4. Google Search sales gain just $79m on Q2 as query growth hits 5-year high PPC Land · 29 October 2026
    “Chartbeat's third-quarter data, published on October 15, showed search falling to 12% of North American publisher pageviews, down from 21% a year earlier.”

Reasoning

E2 reports that combined visits to the AI chatbot sites it tracks rose 41.5% year over year to 8.21 billion in June 2026. E1 shows Google building one seamless experience across AI Overviews, AI Mode and traditional Search. Together these show rising visits to AI chatbot sites and a major search engine adding AI answer features. Against that, E3 shows Google keeping about 90% of search-engine share, down only slightly. E4 shows search's share of publisher pageviews falling but does not link the fall to conversational systems. None of the quotes shows that these systems point to references. On this evidence, traditional search is changing only in part, which fits the criteria for mostly true.

Cite this claim

Yann LeCun, “Search engines will increasingly be replaced by dialogue systems that answer questions and perhaps point to appropriate references.” (said 8 March 2024). Verdict: mostly true. Reliability API, claim c_2d9e59758271, method 0.1.0+c876030c. https://epistacklabs.com/claims/c_2d9e59758271

Claims without a verdict

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