ClaimsYann LeCun

“And it’s not going to be a regressive prediction of tokens, it’s going to be more something akin to inference of little variables in what used to be called probabilistic models or graphical models”

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)

Prediction AI capabilities

Future AI systems that can plan and reason will not rely on "regressive prediction of tokens" but on something "more akin to inference of little variables" in what used to be called probabilistic or graphical models.

Unresolvable The public record could not settle it.

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

Reasoning

Prediction about future systems with no horizon.

Cite this claim

Yann LeCun, “Future AI systems that can plan and reason will not rely on "regressive prediction of tokens" but on something "more akin to inference of little variables" in what used to be called probabilistic or graphical models.” (said 8 March 2024). Verdict: unresolvable. Reliability API, claim c_ad5dd98c0e08, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_ad5dd98c0e08

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

Reply to this claim

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More prediction claims by Yann LeCun

  1. Mostly true Prediction 8 March 2024
    “Increasingly, the search engines that we’re going to use are not going to be search engines, they’re going to be dialogue systems”

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

  2. Mostly true Prediction 2010
    “one of the major challenges of computer vision, machine learning, and AI in general in the next decade will be to devise methods that can automatically learn good features hierarchies from unlabeled…”

    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.

  3. Mostly true Prediction 2019
    “We foresee an increase in the usage of such networks for a wide variety of applications, which are likely to violate the assumptions of current DL hardware.”

    Usage of graph neural networks will increase for a wide variety of applications likely to violate the assumptions of current deep learning hardware.

  4. Mostly true Prediction 2019
    “As DL systems are increasingly used for high-level cognitive tasks, such memory modules will become commonplace and very large, requiring hardware support.”

    As DL is used for high-level cognitive tasks, memory modules will become commonplace and very large, requiring hardware support.

  5. Mostly true Prediction 18 February 2015
    “The next frontier for Deep Learning is natural language understanding.”

    Natural language understanding will be the next frontier for Deep Learning.

All of them

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