A field guide to AI positions

Yann LeCun

Sources used: First-hand material and reporting or indirect copies.

The map position is our interpretation of the public statements below. Read the method.

Position, range and evidence details

Preferred pace: 43; stated catastrophic-risk concern: -48. These are layout units, not percentages or rankings.

Pace range: 20 to 75; concern range: -90 to -12. Ranges show alternative editorial interpretations, not statistical confidence intervals.

Evidence clarity: medium. Basis: mixed. Implementation: public-advocacy.

Record status: Published record

What this status means

This is a published Atlas record with no open challenge recorded in this edition. It is not a guarantee that the sources are current or the interpretation is correct.

Status recorded: 2026-09-16. This is separate from the source-reading and actor-review dates.

How record statuses work

Publication dates and source age

Sources counted: 4

Newest dated source: 2026

At least one source was published within the 18-month window.

Assessed at this edition's evidence cutoff: 2026-09-16. 18-month boundary: 2025-03-16.

Publication age does not tell us whether a claim is still valid. Reading an old source again does not make its publication date newer. An update date does not establish that the passage we used was updated.

Open on the map Reading notes · Structured record

What this position covers

His personal public views, separate from the policies of Meta and AMI Labs. [1] [2] [3] [4]

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What to keep in mind

He disputes takeover arguments but also raises concerns about unsafe actions and concentrated control. The map position still relies on his 2024 interview; the 2026 material adds context. [1] [2] [3] [4]

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What they say about the pace of AI

In 2024, argues for gradual development with safeguards and broad access. [1]

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Open source and risk discussion (1:43:48–1:49:58; 2:08:48–2:24:38)

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What they say about catastrophic risk

In 2024, challenges sudden-takeover scenarios and argues that capabilities and safeguards can improve together. [1]

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2:08:48–2:20:24

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Context and qualifications

The Verge reports that he mocked Amodei’s alarm, referring to earlier warnings about GPT-2. The original post was not retrieved. [2]

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Yann LeCun response; linked X original inaccessible

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Context and qualifications

In a conversation published in 2026, argues for open research and further conceptual advances beyond scaling current models. [3]

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Open-science discussion; PDF pages 57–59

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Context and qualifications

Brown’s account of his April lecture reports a warning: systems acting without predicting consequences can be dangerous. [4]

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Opening discussion of actions and consequences

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The wider picture

Favors open AI research and disputes takeover arguments. He also warns about unsafe actions by current systems; his optimism does not mean that every use is safe. [1] [3] [4]

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What his skepticism covers

In his 2024 interview, he expects gradual progress and improving safeguards. He also worries about concentrated control of AI. These are his arguments, not proof that future systems will remain controllable. [1]

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What the 2026 material adds

His Dædalus conversation supports open research. At Brown, he warns about systems acting without predicting consequences. Support for development and concern about deployment can coexist. [3] [4]

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His role and the dates

Dædalus identifies him as AMI Labs’ executive chairman and a NYU professor, with Meta as a former role. The map still uses his 2024 interview for both axes. The newer sources do not provide an overall catastrophic-risk estimate. [3] [1] [4]

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https://theaiatlas.org/people/lecun/

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Sources and what we read

  1. 1. Yann LeCun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI, transcript #416

    Source is over 18 months old.

    Publication dates and source age

    Sources counted: 1

    Newest dated source: 2024-03-07

    Assessed at this edition's evidence cutoff: 2026-09-16. 18-month boundary: 2025-03-16.

    Publication age does not tell us whether a claim is still valid. Reading an old source again does not make its publication date newer. An update date does not establish that the passage we used was updated.

    What we read: Introduction; Open source and AI and ideology (1:43:48–1:49:58); AI doomers (2:08:48–2:24:38). These sections were reread on 16 September 2026, not the full transcript or recording.

    No archived copy verified · Archive check 2026-09-15

    First-person interview transcript; transcription errors are possible. The 16 September rereading covered selected sections only. Its arguments date from 2024. The September 2026 response remains separately attributed reporting.

  2. 2. What execs and politicians are saying about slowing down AI development

    Publication dates and source age

    Sources counted: 1

    Newest dated source: 2026-09-14

    At least one source was published within the 18-month window.

    Assessed at this edition's evidence cutoff: 2026-09-16. 18-month boundary: 2025-03-16.

    Publication age does not tell us whether a claim is still valid. Reading an old source again does not make its publication date newer. An update date does not establish that the passage we used was updated.

    What we read: The article's reporting on Altman, Hassabis, Musk and LeCun, including links to their posts. The original post text was not independently retrieved.

    No archived copy verified · Archive check 2026-09-15

    Original posts mentioned in this source

    These links help trace the reporting. Their original text was not independently retrieved. They are not additional verified sources.

    • Sam Altman · X post 2098811563415150910

      The linked X page returned HTTP 403. The reporting remains the material read; the original text was not independently retrieved.

      No archived copy verified · Archive check 2026-09-15

    • Sam Altman · X post 2099348812305473766

      The linked X page returned HTTP 403. The reporting remains the material read; the original text was not independently retrieved.

    • Sam Altman · X post 2099352016988614852

      The linked X page returned HTTP 403. The reporting remains the material read; the original text was not independently retrieved.

    • Demis Hassabis · X post 2098909516582490602

      The linked X page returned HTTP 403. The reporting remains the material read; the original text was not independently retrieved.

    • Elon Musk · X post 2098789109980332057

      The linked X page returned HTTP 403. The reporting remains the material read; the original text was not independently retrieved.

      No archived copy verified · Archive check 2026-09-15

    • Yann LeCun · X post 2099248236074545576

      The linked X page returned HTTP 403. The reporting remains the material read; the original text was not independently retrieved.

    Article read. Linked X posts could not be fetched independently. Their content is therefore treated as reported, not directly verified.

  3. 3. Learning Abstractions: A Conversation with Yann LeCun

    Publication dates and source age

    Sources counted: 1

    Newest dated source: 2026

    At least one source was published within the 18-month window.

    Assessed at this edition's evidence cutoff: 2026-09-16. 18-month boundary: 2025-03-16.

    Publication age does not tell us whether a claim is still valid. Reading an old source again does not make its publication date newer. An update date does not establish that the passage we used was updated.

    What we read: Author biography, discussion of pure LLMs versus added search, and the closing open-science discussion (PDF pages 48–49 and 57–59). Selected passages, not the full interview or cited research.

    The issue is labelled Winter/Spring 2026; no exact publication day is assigned. Used for his research advocacy and the author biography, not as proof of technical claims or a new risk estimate.

  4. 4. In lecture at Brown, Yann LeCun discusses a new approach to AI

    Publication dates and source age

    Sources counted: 1

    Newest dated source: 2026-04-01

    At least one source was published within the 18-month window.

    Assessed at this edition's evidence cutoff: 2026-09-16. 18-month boundary: 2025-03-16.

    Publication age does not tell us whether a claim is still valid. Reading an old source again does not make its publication date newer. An update date does not establish that the passage we used was updated.

    What we read: The article’s lecture summary, especially its opening quotations about actions and consequences. The linked funding report and full lecture were not reviewed.

    Read the host university’s account of its lecture. Quotations are reported by Brown; the full lecture recording was not reviewed. Used for his expressed warning about actions and consequences, not independent verification of model capabilities.

Edition and machine-readable evidence

Content version 0.22.0. Evidence cutoff 2026-09-16; this does not mean every source was read on that day.

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