ClaimsPeople

Gary Marcus

Gary Marcus is an author and AI entrepreneur and professor emeritus at NYU; he has written six books, including Rebooting AI and Taming Silicon Valley, founded Geometric Intelligence (bought by Uber), testified at the May 2023 US Senate AI hearing, and writes a newsletter with over 121,000 subscribers.

712 claims collected, 213 researched, 103 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?

    79 72 85

    High confidence, 64 factual claims resolved. From 18 documents, 2019 to 2026; 19 documents sampled from 37 candidates found.

    Not scored: 32 unresolvable, 4 checkable only against their own records.

  • Predictions

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

    80 72 88

    Medium confidence, 38 predictions resolved. From 7 documents, 2019 to 2025; 19 documents sampled from 37 candidates found.

    Not scored: 60 unresolvable. 13 more fall due later.

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

  • Promises

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

    Insufficient record: 1 promise resolved, 5 needed for a score.

    Not scored: 1 unresolvable.

All types combined: 79 (likely 74 to 84, high confidence), from 102 claims: 64 factual claims, 38 predictions. It mixes kinds of claim in different proportions for different people, so compare people kind by kind.

Gary Marcus's claims

111 claims, sorted by newest said. Choose a claim to read it in full.
VerdictKindSaidClaimTopic
Unresolvable Prediction 14 Nov 2019 Marcus argues that AI will not proceed until the field allows some "neatness", meaning some innate structure (nativism), in its systems. Prediction · 14 Nov 2019 AI capabilities
Unresolvable Prediction 14 Nov 2019 The real action in AI will be in finding theoretically sound ways of combining symbolic and deep learning traditions. Prediction · 14 Nov 2019 AI capabilities
Unresolvable Prediction 20 Sep 2019 Marcus said he thinks it is just a question of whether "we will get there" gradually or through a lot of social unrest. Prediction · 20 Sep 2019 AI, the economy and work
Not yet due Prediction 20 Sep 2019 Machines will achieve world-class scientific reasoning within the next 500 years (by 2519). Prediction · 20 Sep 2019 AI timelines and forecasting
Unresolvable Prediction 20 Sep 2019 Smarter AI could solve many medical and scientific problems. Prediction · 20 Sep 2019 AI capabilities
Unresolvable Prediction 20 Sep 2019 The ultimate AI systems will have the memory capabilities of machines rather than of people. Prediction · 20 Sep 2019 AI capabilities
Unresolvable Prediction 20 Sep 2019 Marcus said he expects machines will eventually be able to do world-class scientific reasoning, though they are nowhere near that now. Prediction · 20 Sep 2019 AI timelines and forecasting
Resolved true Prediction 20 Sep 2019 Marcus said he did not think machines would reach world-class scientific reasoning within the next five years (by 2024). Prediction · 20 Sep 2019 AI timelines and forecasting
Unresolvable Prediction 20 Sep 2019 Marcus said he thinks it is inevitable that society will adopt universal basic income, and that the open question is whether this happens gradually or through social unrest. Prediction · 20 Sep 2019 AI, the economy and work
Unresolvable Prediction 15 Jan 2019 William Barr may become the person who most subverts American democracy, more than Donald Trump. Prediction · 15 Jan 2019 AI policy and governance
Unresolvable Prediction 2019 The deep learning approach to language would never work, as argued in a chapter of Rebooting AI. Prediction · 2019 Their own work or organisation
Back to the list

Gary Marcus

Open its page

Prediction AI capabilities

“And I would argue that A.I. is not going to proceed until we similarly allow some neatness in there.”

Gary Marcus, guest, interview answer 14 November 2019 EP25 Gary Marcus on Rebooting AI (The Jim Rutt Show)

Marcus argues that AI will not proceed until the field allows some "neatness", meaning some innate structure (nativism), in its systems.

Unresolvable The public record could not settle it.

Reasoning

No horizon, and what it means for AI to "proceed" is undefined.

Cite this claim

Gary Marcus, “Marcus argues that AI will not proceed until the field allows some "neatness", meaning some innate structure (nativism), in its systems.” (said 14 November 2019). Verdict: unresolvable. Reliability API, claim c_4938d8aaa81e, method 0.1.0+c876030c. https://epistacklabs.com/claims/c_4938d8aaa81e

Claims without a verdict

Is a verdict here wrong, or do you speak for Gary Marcus? Reply on the claim's own page, with the form at its foot (how replies work). Verdicts are made automatically; how verdicts and scores are made.