ClaimsGary Marcus

“I’ve never personally experienced 99% correct in any of the things that I’ve tried…”

Gary Marcus, speaking in conversation 2025 Dr. Ben Goertzel's Conversation with Dr. Gary Marcus at the World AI Summit 2025 (SingularityNET) archived copy

Factual AI capabilities

Gary Marcus has never personally experienced 99% correct output from AI in any of the things he has tried.

Own records only Only the person's or their organisation's own records speak to it, so it is not scored.

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

Reasoning

Concerns Marcus's personal experience of AI output accuracy, which only he can confirm.

Cite this claim

Gary Marcus, “Gary Marcus has never personally experienced 99% correct output from AI in any of the things he has tried.” (said 2025). Verdict: own records only. Reliability API, claim c_6889eeb5ea26, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_6889eeb5ea26

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

Reply to this claim

For Gary Marcus, 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 Gary Marcus

  1. Mostly true Factual January 2026
    “Reviews by Joanna Stern and Marques Brownle of one early prototype were damning;”

    Reviews by Joanna Stern and Marques Brownlee of one early humanoid robot prototype were damning.

  2. Mostly true Factual January 2026
    “Many would agree we have reached a point of diminishing returns for scaling; faith in scaling as a route to AGI has dissipated.”

    Many would agree the AI field has reached a point of diminishing returns from scaling, and faith in scaling as a route to AGI has dissipated.

  3. Mostly true Factual January 2026
    “Despite all the hype, agents didn’t turn out to be reliable.”

    AI agents did not turn out to be reliable in 2025.

  4. Mixed Factual 2025
    “but the systems don’t have the knowledge graph to do that.”

    Current AI systems lack the knowledge graph needed to handle easy facts like those on the first page of Wikipedia.

  5. Resolved true Factual 2025
    “Hasn’t worked so far. That’s for sure.”

    Bolting extra components onto an LLM and scaling it up has so far not produced human-level AGI.

All of them

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