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

103 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
Resolved true Factual 25 Sep 2026 OpenAI's software attacked Australian government servers. 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
Mixed Factual 2 Jun 2026 Companies like Anthropic are ending their all-you-can-eat pricing, which will make many customers think twice. Factual · 2 Jun 2026 Economics and markets
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
Mixed Factual 2 Jun 2026 AI companies are building essentially the same technical solution with essentially the same data, so there is no moat. 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
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 Factual 1 Jan 2025 As of end 2024, AI model makers have very little moat, with many similar models and a price war. Factual · 1 Jan 2025 Economics and markets
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
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 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
Mixed Factual 2025 Current AI systems lack the knowledge graph needed to handle easy facts like those on the first page of Wikipedia. Factual · 2025 AI capabilities
Resolved true Factual 2025 Bolting extra components onto an LLM and scaling it up has so far not produced human-level AGI. Factual · 2025 AI capabilities
Resolved true Factual 9 Nov 2024 Gary Marcus has for years warned that AI scaling by adding data and compute without architectural changes would not continue forever. Factual · 9 Nov 2024 Their own work or organisation
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
Resolved true Factual Feb 2024 After Sora's February 2024 announcement, Marcus predicted its physics troubles would persist, and they have. Factual · Feb 2024 Their own work or organisation
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
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
Resolved true Factual 26 Oct 2023 Bengio et al.'s proposal states that research breakthroughs are needed to solve some of today's technical challenges in creating AI with safe and ethical objectives. Factual · 26 Oct 2023 AI safety and alignment
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
Resolved true Factual 26 Oct 2023 There is currently no way to guarantee that large language models won't be jailbroken into saying unethical things. 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
Resolved true Factual 30 Mar 2023 The FLI open letter called for more AI research. Factual · 30 Mar 2023 Their own work or organisation
Delivered on time Promise 30 Mar 2023 Gary Marcus will speak at TED about short-term and long-term AI risk and what to do about it, in about two weeks from 2023-03-30. Promise · 30 Mar 2023 Their own work or organisation
Resolved true Factual 30 Mar 2023 The FLI open letter did not call for a ban on AI or for a permanent ban. Factual · 30 Mar 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
Resolved true Factual 24 Mar 2023 There have already been reports of contamination in GPT-4's training data. Factual · 24 Mar 2023 AI capabilities
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
Resolved true Factual 24 Mar 2023 GPT-4 has not solved hallucinations, reliability or planning on complex tasks, as the paper's authors acknowledge for planning. 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
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 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
Resolved true Factual Mar 2022 In March 2022 Gary Marcus published an article arguing that deep learning is hitting a wall. Factual · Mar 2022 Their own work or organisation
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 Factual 16 Nov 2021 In open-ended tasks such as driving, humans outperform AI systems. Factual · 16 Nov 2021 AI capabilities
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
Resolved true Factual 1 Nov 2021 Aaron Beck, developer of cognitive therapy, has died. Factual · 1 Nov 2021 Other
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
Resolved true Factual 17 Apr 2021 Garry Kasparov beat Gary Marcus at a chess exhibition. Factual · 17 Apr 2021 Other
Resolved true Factual 13 Apr 2021 Gary Marcus published a 1999 Science article on infant rule learning. Factual · 13 Apr 2021 Science and research methods
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
Resolved true Factual 12 May 2020 When the environment changes, as during the pandemic, many AI models start to break. Factual · 12 May 2020 AI capabilities
Mostly false Factual 4 May 2020 Published numbers for flu deaths are likely overestimates. Factual · 4 May 2020 Biosecurity
Resolved true Factual 30 Apr 2020 A piece on common sense in AI by John Pavlus includes some chortling and skepticism from Gary Marcus. Factual · 30 Apr 2020 AI capabilities
Resolved true Factual 14 Nov 2019 Gary Marcus wrote a book called The Birth of the Mind about how a small number of genes builds a complex brain. Factual · 14 Nov 2019 Their own work or organisation
Resolved true Factual 14 Nov 2019 Cyc is not an end-to-end system. Factual · 14 Nov 2019 AI capabilities
Mixed Factual 14 Nov 2019 AI currently lacks a way of building reusable skills. Factual · 14 Nov 2019 AI capabilities
Resolved true Factual 14 Nov 2019 AlphaGo is a hybrid system that uses deep learning for pattern recognition and Monte Carlo tree search, a symbolic operation, to search possibilities. Factual · 14 Nov 2019 AI capabilities
Resolved true Factual 20 Sep 2019 Driverless cars that are not actually reliable can be easily fooled. Factual · 20 Sep 2019 AI capabilities
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
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
Resolved true Factual 16 Feb 2019 The system has no idea that a unicorn has one horn and asserts that it has four. Factual · 16 Feb 2019 AI capabilities
Back to the list

Gary Marcus

Open its page

Factual AI capabilities

“It’s not an end to end system.”

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

Cyc is not an end-to-end system.

Resolved true The record shows it happened or was so.

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

What would count as true or false

Judge as of 2019-11-14. An 'end-to-end system' means one trained as a single system mapping raw inputs directly to outputs, typically through learning. True: authoritative descriptions show that Cyc in 2019 was a hand-curated knowledge base with a separate inference engine and other components, and was not trained or operated end-to-end. Mostly true: Cyc was mostly modular and hand-built but had some learned or integrated pipeline elements. Mixed: the evidence is ambiguous about how integrated it was. Mostly false: Cyc worked largely as an integrated end-to-end pipeline, with modest modular parts. False: Cyc was an end-to-end system.

Evidence

  1. Selected Lexical/Ontology/Knowledge Base Projects METU OCW (course reading, prepared for COG 515 / COGS 523) · 13 October 2025
    “It basically consists of a knowledge base and an associated inference engine, along with several other components”
  2. Guiding Inference with Policy Search Reinforcement Learning AAAI (FLAIRS 2007), by Taylor, Matuszek, Smith and Witbrock (Cycorp, Inc. co-authors) · 2007
    “Inference in Cyc is sound but is not always complete: in practice, memory- or time-based cutoffs are typically used to limit very large or long-running queries.”
  3. Guiding Inference with Policy Search Reinforcement Learning AAAI (FLAIRS 2007), by Taylor, Matuszek, Smith and Witbrock (Cycorp, Inc. co-authors) · 2007
    “The RL Tactician provides the inference Engine with an ordered list of tactics. However, the inference Engine may use”
  4. Cyc: Knowledge-Intensive AI (Chapter 4) - Artificial Dreams Cambridge University Press · 4 April 2008
    “The first stage was envisaged as ending in 1994, the second by the late 1990s, and, as Doug Lenat, the main figure behind the project, put it, “Soon after, say by 2001, we planned to have it learning on its own, by automated discovery methods””

Reasoning

E1 describes Cyc as a knowledge base with an associated inference engine and several other components, which is a modular architecture. E4 records that Cyc's original plan was staged, with learning by automated discovery expected only at a later stage, around 2001. E3 shows an experimental 2007 reinforcement-learning component that supplies ranked tactics to the inference engine. It supplies tactics to a separate inference engine rather than making the system trained end-to-end, and no evidence shows it was in use in 2019. On this evidence Cyc was not an end-to-end system.

Cite this claim

Gary Marcus, “Cyc is not an end-to-end system.” (said 14 November 2019). Verdict: resolved true. Reliability API, claim c_b128e65af040, method 0.1.0+c876030c. https://epistacklabs.com/claims/c_b128e65af040

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.