ClaimsYann LeCun

“The authors declare no competing financial interests.”

LeCun, Bengio and Hinton, ethics declaration 27 May 2015 Deep learning (Nature) (Nature)

Factual Science and research methods

The authors of the paper declare no competing financial interests.

Unresolvable The public record could not settle it.

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

What would count as true or false

Resolve against the competing-interests statement in the paper published 2015-05-27 (the Nature review 'Deep learning' by LeCun, Bengio and Hinton). True if the published paper, or any published correction, states that the authors declare no competing financial interests. Mostly true if the statement is worded slightly differently but still says there are no competing financial interests. Mostly false if the paper declares no competing interests but a published correction or erratum later adds some. False if the paper's declaration lists competing financial interests (for example, employment at Facebook or Google declared as a competing interest).

Set before the research began.

Reasoning

No evidence with a verified quote was found apart from the claim's own source, so the claim was not judged.

Cite this claim

Yann LeCun, “The authors of the paper declare no competing financial interests.” (said 27 May 2015). Verdict: unresolvable. Reliability API, claim c_a902eca1f5ca, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_a902eca1f5ca

This claim is in dataset release v1.1.2, with the same verdict.

Reply to this claim

For Yann LeCun, or someone speaking for them: a correction or counter-evidence. Replies are read before anything is shown; an approved reply shows your name, role, date, statement and link. Your email address is never shown and is deleted 30 days after the decision (privacy).

More factual claims by Yann LeCun

  1. Mostly true Factual 15 May 2014
    “The notions of partition functions, entropy, free energy, variational methods etc, that are so prevalent in the graphical models literature all come from statistical physics.”

    The notions of partition functions, entropy, free energy and variational methods prevalent in the graphical models literature come from statistical physics.

  2. Mostly true Factual 15 May 2014
    “No one uses generalization bounds to do model selection.”

    No one uses generalization bounds to do model selection; practitioners use cross-validation.

  3. Resolved true Factual 2010
    “The idea is rooted in Hubel and Wiesel’s classic 1962 work on the cat’s primary visual cortex.”

    The idea behind multi-stage Hubel-Wiesel architectures is rooted in Hubel and Wiesel's 1962 work on the cat's primary visual cortex.

  4. Resolved true Factual 2006
    “This loss is always positive, since the second term is a lower bound on the first term.”

    The generalized perceptron loss is always positive because its second term is a lower bound on its first term.

  5. Resolved false Factual 1 October 2026
    ““Those agents are doing exactly what they’ve been asked to do,” LeCun said.”

    The OpenAI agents involved in the Hugging Face hacking incident were doing exactly what they had been asked to do.

All of them

Verdicts are made automatically; how verdicts are made.