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

38 claims, sorted by newest said. Choose a claim to read it in full.
VerdictKindSaidClaimTopic
Resolved true Prediction 27 Jul 2025 OpenAI will release GPT-5 imminently. Prediction · 27 Jul 2025 AI capabilities
Resolved true Prediction 27 Jul 2025 GPT-5 will still make a significant number of obvious errors that are hard to predict. Prediction · 27 Jul 2025 AI capabilities
Resolved true Prediction 27 Jul 2025 If the model being discussed has guardrails like ChatGPT's, they will teeter between being too weak (beaten by jailbreaks) and too strong (rejecting some perfectly reasonable requests). Prediction · 27 Jul 2025 AI safety and alignment
Mostly true Prediction 27 Jul 2025 Some of GPT-5's advice will be very bad. Prediction · 27 Jul 2025 AI capabilities
Resolved true Prediction 27 Jul 2025 GPT-5 by itself will not be a general-purpose AGI capable of arbitrary tasks. Prediction · 27 Jul 2025 AI timelines and forecasting
Mostly true Prediction 27 Jul 2025 GPT-5 will be considerably better than GPT-4. Prediction · 27 Jul 2025 AI capabilities
Resolved true Prediction 1 Jan 2025 AI Safety Institutes will offer guidance in 2025 but have little legal authority to stop truly dangerous models. Prediction · 1 Jan 2025 AI policy and governance
Resolved true Prediction 1 Jan 2025 Profits from AI models will remain modest or nonexistent in 2025. Prediction · 1 Jan 2025 Economics and markets
Resolved true Prediction 1 Jan 2025 Lack of reliability will continue to afflict generative AI in 2025. Prediction · 1 Jan 2025 AI capabilities
Resolved true Prediction 1 Jan 2025 Artificial general intelligence will not be achieved in 2025. Prediction · 1 Jan 2025 AI timelines and forecasting
Resolved true Prediction 1 Jan 2025 Hallucinations will continue to afflict generative AI in 2025. Prediction · 1 Jan 2025 AI capabilities
Resolved true Prediction 1 Jan 2025 Less than 10% of the workforce will be replaced by AI in 2025, probably less than 5%. Prediction · 1 Jan 2025 AI, the economy and work
Resolved true Prediction 1 Jan 2025 The US will continue to have very little regulation protecting consumers from generative AI risks in 2025. Prediction · 1 Jan 2025 AI policy and governance
Mostly true Prediction 1 Jan 2025 A large-scale cyberattack in which generative AI plays an important causal role may well occur in 2025. Prediction · 1 Jan 2025 Other global risks
Resolved true Prediction 1 Jan 2025 AI agents will be heavily hyped throughout 2025 but remain far from reliable, except possibly in very narrow use cases. Prediction · 1 Jan 2025 AI capabilities
Resolved true Prediction 1 Jan 2025 AI power consumption will rise in 2025 and remain a major problem, while few generative AI companies will be transparent about their usage. Prediction · 1 Jan 2025 AI compute, hardware and data
Mostly true Prediction 1 Jan 2025 Few if any radiologists will be replaced by AI in 2025. Prediction · 1 Jan 2025 AI, the economy and work
Resolved true Prediction 1 Jan 2025 No single AI system will solve more than 4 of the AI 2027 Marcus-Brundage tasks by the end of 2025. Prediction · 1 Jan 2025 AI capabilities
Resolved true Prediction 1 Jan 2025 In 2025 humanoid robotics will see a lot of hype, but nobody will release a robot remotely as capable as Rosie the Robot. Prediction · 1 Jan 2025 AI capabilities
Mostly true Prediction 1 Jan 2025 Neurosymbolic AI will become much more prominent in 2025. Prediction · 1 Jan 2025 AI capabilities
Mostly true Prediction 1 Jan 2025 OpenAI's Sora will continue to have trouble with physics in 2025. Prediction · 1 Jan 2025 AI capabilities
Mostly true Prediction 31 Mar 2024 Marcus doubted that a mindblowing GPT model would be released in 2024. Prediction · 31 Mar 2024 AI timelines and forecasting
Mostly true Prediction 31 Mar 2024 GPT-5 is likely to be even more expensive to train and operate than GPT-4. Prediction · 31 Mar 2024 Economics and markets
Mixed Prediction 26 Oct 2023 With more than 60 elections around the world in 2024, the chance that at least one would be swayed by deepfakes is high. Prediction · 26 Oct 2023 Other global risks
Mostly true Prediction 25 Dec 2022 GPT-4 will still be reckless and hard to control, making a significant number of stupid errors. Prediction · 25 Dec 2022 AI capabilities
Mostly true Prediction 25 Dec 2022 GPT-4's natural language output still won't be reliably usable as input to downstream programs such as databases or virtual assistants. Prediction · 25 Dec 2022 AI capabilities
Resolved true Prediction 25 Dec 2022 GPT-4 will definitely seem smarter than its predecessors, but its internal architecture will remain problematic. Prediction · 25 Dec 2022 AI capabilities
Mostly true Prediction 25 Dec 2022 GPT-4 will not be trustworthy and complete enough to give reliable medical advice. Prediction · 25 Dec 2022 AI capabilities
Mostly true Prediction 25 Dec 2022 GPT-4 will be a very large, powerful system (a 'monster'). Prediction · 25 Dec 2022 AI capabilities
Mostly true Prediction 25 Dec 2022 With GPT-4, fluent hallucinations will still be common and easily induced, escalating the risk of LLMs being used to create misinformation. Prediction · 25 Dec 2022 AI capabilities
Mostly true Prediction 25 Dec 2022 GPT-4 may be better at faking term papers, but if it follows the same playbook as its predecessors, it still won't really understand the world, and its flaws will eventually show. Prediction · 25 Dec 2022 AI capabilities
Mostly true Prediction 25 Dec 2022 GPT-4 will blow people's minds when released. Prediction · 25 Dec 2022 AI capabilities
Mostly true Prediction 25 Dec 2022 Marcus suspected that GPT-4's release would follow a pattern of immense buzz, then scientific scrutiny, then recognition that many problems remain. Prediction · 25 Dec 2022 AI capabilities
Mostly true Prediction 25 Dec 2022 If GPT-4 is architecturally essentially the same as GPT-3, it can be expected to be unable to construct internal models of how the world works and, in consequence, unable to understand things at an abstract level. Prediction · 25 Dec 2022 AI capabilities
Mostly true Prediction 25 Dec 2022 AI alignment between human wants and machine behavior will remain a critical unsolved problem, with GPT-4 unable to reliably follow shared human values. Prediction · 25 Dec 2022 AI safety and alignment
Mostly true Prediction 25 Dec 2022 GPT-4 will remain a pastiche generator and useful for brainstorming and first drafts, but not trustworthy general intelligence. Prediction · 25 Dec 2022 AI capabilities
Resolved false Prediction 14 Dec 2021 Gary Marcus bet that hybrid (neurosymbolic) AI models would pull ahead in 2022. Prediction · 14 Dec 2021 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
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Gary Marcus

Open its page

Prediction AI safety and alignment

“Guardrails (a la ChatGPT) may be in place, but the guardrails will teeter between being too weak (beaten by “jailbreaks”) and too strong (rejecting some perfectly reasonable requests).”

Gary Marcus, author 27 July 2025 What to Expect When You're Expecting … GPT-5 (Marcus on AI)

If the model being discussed has guardrails like ChatGPT's, they will teeter between being too weak (beaten by jailbreaks) and too strong (rejecting some perfectly reasonable requests).

Resolved true The record shows it happened or was so.

The second judge said mixed; the verdict shown is the first judge's.

What would count as true or false

A prediction about the guardrails on the model under discussion (a ChatGPT-style LLM, in the July 2025 context). There is no stated horizon, so judge it at about one year after it was made (2026-07-27). True: within that period there is documented evidence of both failure modes for that model's guardrails: (1) successful jailbreaks that get past them; and (2) over-refusal of perfectly reasonable, benign requests (documented user reports, over-refusal benchmarks, or vendor acknowledgements). Mostly true: both modes are documented, but one is only marginal or isolated. Mixed: only one of the two modes is clearly documented. Mostly false: there are only isolated or contested instances of either mode, and guardrails are generally reported as well calibrated. False: evidence such as red-team reports and over-refusal benchmarks shows the guardrails resisted jailbreaks and did not reject reasonable requests to any notable degree. If the model in question had no guardrails, the claim is conditional and does not resolve.

Evidence

  1. ChatGPT safety systems can be bypassed to get weapons instructions NBC News · 10 October 2025
    “Another older model that’s still available on ChatGPT and is still preferred by some users, o4-mini, was tricked even more frequently, 93% of the time.”
  2. ChatGPT safety systems can be bypassed to get weapons instructions NBC News · 10 October 2025
    “In 20 tests, it declined to answer harmful questions each time.”
  3. OpenAI Adjusts ChatGPT So That It Isn’t As Preachy And Won’t Refuse To Answer Reasonable Questions But Worries Abound Forbes · 20 March 2026
    “GPT‑5.3 Instant significantly reduces unnecessary refusals, while toning down overly defensive or moralizing preambles before answering the question.”
  4. ChatGPT is alienating its own users and the timing could not be worse for OpenAI - Startup Fortune Startup Fortune · 22 April 2026
    “Threads on Reddit and X have been filling up with screenshots of the model refusing benign requests with lengthy moral lectures, responding to simple questions with a barely concealed condescension”

Reasoning

Both failure modes the prediction names are documented for ChatGPT's guardrails within the one-year window. For jailbreaks, NBC News reported in October 2025 that its jailbreak prompt got past the safeguards of o4-mini, a model still available on ChatGPT, 93% of the time (E1). The same report notes that another model refused harmful questions in all 20 tests (E2), so not every model failed. For over-refusal, a March 2026 Forbes article says GPT-5.3 Instant "significantly reduces unnecessary refusals" (E3), and an April 2026 report describes users posting screenshots of ChatGPT refusing benign requests (E4).

Cite this claim

Gary Marcus, “If the model being discussed has guardrails like ChatGPT's, they will teeter between being too weak (beaten by jailbreaks) and too strong (rejecting some perfectly reasonable requests).” (said 27 July 2025). Verdict: resolved true. Reliability API, claim c_58b136dd4a8d, method 0.1.0+c876030c. https://epistacklabs.com/claims/c_58b136dd4a8d

Claims without a verdict

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