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

52 claims

52 claims, sorted by newest said. Choose a claim to read it in full.
VerdictKindSaidClaimTopic
Mostly true Factual 25 Sep 2026 OpenAI's latest account called attacks "interactions" and only partially disclosed what happened. Factual · 25 Sep 2026 AI safety and alignment
Mostly true Factual 25 Sep 2026 OpenAI's software attacked a German web server. Factual · 25 Sep 2026 AI safety and alignment
Mostly true Factual 2 Jun 2026 More reports have recently come out questioning the return on investment of AI for corporate customers. Factual · 2 Jun 2026 Economics and markets
Mostly true Factual Jan 2026 Reviews by Joanna Stern and Marques Brownlee of one early humanoid robot prototype were damning. Factual · Jan 2026 AI capabilities
Mostly true Factual Jan 2026 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. Factual · Jan 2026 AI capabilities
Mostly true Factual Jan 2026 AGI did not materialize in 2025, contrary to predictions by Elon Musk and others, and GPT-5 was underwhelming and did not solve hallucinations. Factual · Jan 2026 AI timelines and forecasting
Mostly true Factual Jan 2026 AI agents did not turn out to be reliable in 2025. Factual · Jan 2026 AI capabilities
Mostly true Prediction 27 Jul 2025 Some of GPT-5's advice will be very bad. Prediction · 27 Jul 2025 AI capabilities
Mostly true Prediction 27 Jul 2025 GPT-5 will be considerably better than GPT-4. Prediction · 27 Jul 2025 AI capabilities
Mostly true Factual 1 Jan 2025 OpenAI has returned no profits, does not expect profits until at least 2029, has a burn rate in the billions, and lacks a clear technical moat. Factual · 1 Jan 2025 Economics and markets
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
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
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 Factual 2025 People put instructions in LLM system prompts but cannot get the systems to follow them. Factual · 2025 AI safety and alignment
Mostly true Factual 2025 LLMs, which are not AGI, are already eliminating some human work. Factual · 2025 AI, the economy and work
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 Factual 31 Mar 2024 In early August 2023 Gary Marcus wrote a piece titled 'What if Generative AI turned out to be a Dud', which was picked up by the Financial Times and other outlets. Factual · 31 Mar 2024 Their own work or organisation
Mostly true Factual 31 Mar 2024 Current-sized LLMs are expensive and not reliable enough for many jobs. Factual · 31 Mar 2024 Economics and markets
Mostly true Factual 31 Mar 2024 Hallucinations are inherent to how LLMs make predictions. Factual · 31 Mar 2024 AI capabilities
Mostly true Factual 31 Mar 2024 Marcus cited a statistic from a Wall Street Journal piece, "$50B in, $3B out", and said it was obviously not sustainable. Factual · 31 Mar 2024 Economics and markets
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
Mostly true Factual 26 Oct 2023 Some people, such as Marc Andreessen, are denying that there is any AI risk, long term or short term, and trying to turn whether to pursue AI safety into a debate. Factual · 26 Oct 2023 AI policy and governance
Mostly true Factual 26 Oct 2023 A newly published technique shows that current LLMs can be jailbroken quickly and automatically. Factual · 26 Oct 2023 AI safety and alignment
Mostly true Factual 26 Oct 2023 Gary Marcus emphasized a CERN for AI and global AI governance in April 2023 in his TED talk and in The Economist. Factual · 26 Oct 2023 Their own work or organisation
Mostly true Factual 30 Mar 2023 As of March 2023, none of the top AI labs is remotely transparent, AI governance basically doesn't exist, and there are basically no safeguards in place. Factual · 30 Mar 2023 AI policy and governance
Mostly true Factual 24 Mar 2023 The OpenAI and Microsoft GPT-4 papers reveal nothing about the model's architecture or training set. Factual · 24 Mar 2023 AI capabilities
Mostly true Factual 24 Mar 2023 Citing Ernie Davis, Marcus said OpenAI had begun to incorporate user experiments into its models' training corpus. Factual · 24 Mar 2023 AI capabilities
Mostly true Factual 24 Mar 2023 Gary Marcus said that on 2023-03-23 Microsoft had put out what he called a press release masquerading as science, which claimed that GPT-4 was an early (yet still incomplete) version of an AGI system. Factual · 24 Mar 2023 AI capabilities
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
Mostly true Factual 25 Dec 2022 ChatGPT regularly makes things up, and a fair bit of what it says is untrue. Factual · 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 Factual 25 Dec 2022 ChatGPT might sound like the Star Trek computer, but for now it still cannot be trusted. Factual · 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 Factual 25 Dec 2022 ChatGPT can write about anything but is easily confused. Factual · 25 Dec 2022 AI capabilities
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
Mostly true Factual Dec 2022 AI-generated misinformation became increasingly widespread, as Marcus warned in December 2022, but its effects have so far been less than he feared. Factual · Dec 2022 AI safety and alignment
Mostly true Factual Mar 2022 Gary Marcus's March 2022 article argued pure scaling would not solve hallucinations or abstraction and concluded there are serious holes in the scaling argument. Factual · Mar 2022 Their own work or organisation
Mostly true Factual 15 Nov 2021 Deep neural nets, nearly 10 years after their celebrated rebirth, are still utterly fooled by images like the one shown. Factual · 15 Nov 2021 AI capabilities
Mostly true Factual 12 May 2021 Biological brains have a high degree of precise internal structure that artificial neural networks lack. Factual · 12 May 2021 AI capabilities
Mostly true Factual 8 May 2021 Covid-19 is transmitted through the air (airborne). Factual · 8 May 2021 Biosecurity
Mostly true Factual 28 Oct 2020 As of 2020 there is no off-the-shelf software platform for building a domestic robot comparable to a game engine for building video games. Factual · 28 Oct 2020 Technology
Mostly true Factual 20 Sep 2019 Biological cognition involves many different mechanisms, working on different principles, that reinforce and counter-balance each other. Factual · 20 Sep 2019 Science and research methods
Mostly true Factual 20 Sep 2019 Deep learning does more than linear regression but is a more sophisticated form of statistical correlation. Factual · 20 Sep 2019 AI capabilities
Mostly true Factual 20 Sep 2019 Bad AI is leading to fatalities and undermining democracy. Factual · 20 Sep 2019 AI policy and governance
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Gary Marcus

Open its page

Prediction AI capabilities

“I suspect that what we will see is a familiar pattern: immense initial buzz, followed by a more careful scientific inspection, followed by a recognition that many problems remain.”

Gary Marcus, author 25 December 2022 What to Expect When You're Expecting … GPT-4 (Marcus on AI)

Marcus suspected that GPT-4's release would follow a pattern of immense buzz, then scientific scrutiny, then recognition that many problems remain.

Mostly true True in substance, wrong in a detail.

What would count as true or false

Judge this against the period after GPT-4's release. True: GPT-4's launch drew immense initial buzz, was then followed by careful scientific evaluation (research papers, independent tests), and that work led to broad recognition that substantial problems remained, such as hallucination, reasoning errors and unreliability. Mostly true: the three stages happened, but in a slightly different order or the stages overlapped. Mixed: there was buzz, but scrutiny produced mixed conclusions, with no broad recognition that many problems remained. Mostly false: the buzz was modest, or the scrutiny mostly concluded that the major problems had been solved. False: GPT-4 was never released, or its release was followed by little buzz and the scrutiny found no significant remaining problems.

Evidence

  1. The AI that sparked tech panic and scared world leaders heads to retirement Ars Technica · 30 April 2025
    “Its release created a wave of immense hype—and existential panic—about AI’s ability to imitate human communication and composition.”
  2. roundups & rapid reactions Science Media Centre · 15 March 2023
    “Although it doesn’t solve the problems of hallucinations, the OpenAI benchmarks show it is more factual by more than 40% over GPT-3.”
  3. GPT-4 OpenAI · 14 March 2023
    “Most importantly, it still is not fully reliable (it “hallucinates” facts and makes reasoning errors).”
  4. How Is ChatGPT's Behavior Changing Over Time? (Chen, Zaharia & Zou 2024) AI for Science (record summarising Chen, Zaharia & Zou, Harvard Data Science Review; arXiv:2307.09009, 2023)
    “The same service name returned substantially different behaviour within three months: GPT-4's accuracy at identifying prime versus composite numbers fell from 84% (March 2023) to 51% (June 2023).”

Reasoning

E1 describes GPT-4's release as creating "a wave of immense hype," which covers the buzz stage. Outside academics later measured GPT-4's behaviour in 2023 and found that its accuracy on a prime-number task fell from 84% to 51% between March and June (E4), which documents unreliability. However, the stages overlapped rather than following one another: the launch-day expert reaction already said GPT-4 doesn't solve hallucinations (E2), and OpenAI's own release page said it "still is not fully reliable" (E3). Because all three stages happened but recognition of the problems came at launch rather than only after scrutiny, the criteria point to mostly true.

Cite this claim

Gary Marcus, “Marcus suspected that GPT-4's release would follow a pattern of immense buzz, then scientific scrutiny, then recognition that many problems remain.” (said 25 December 2022). Verdict: mostly true. Reliability API, claim c_bfa4544a48b1, method 0.1.0+c876030c. https://epistacklabs.com/claims/c_bfa4544a48b1

Claims without a verdict

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