Pundit ClaimsAI claims by Gary Marcus and Ed Zitron, with the evidence

Gary Marcus Marcus on AI Published

China has all but caught up. The US is not going to “win” the AI war. Here’s what we should do instead.

We recorded 15 claims from this post. 4 were checked against evidence. 11 can’t be checked. 6 more are held. Read the post at its source.

Claims from this post (15)

In the order they appear in the post. Each quotation is the speaker’s words in this post. A label such as “Supported” or “Can’t be checked” is the claim’s current assessment; its page has the evidence and the reasons.

  1. Assessment: Can’t be checkedSaid

    “The US stock market dropped partly on this news Friday, and the repercussion are likely to be immense.”

    What we tested: The repercussions of Moonshot.AI's announcement of Kimi K3, news that partly drove a US stock market drop on Friday, are likely to be immense.

  2. Assessment: Can’t be checkedSaid

    “It also casts serious doubt on the never-too-plausible idea that America might “win” the AI race.”

    What we tested: The recent Chinese model releases cast serious doubt on the idea, never very plausible, that America might 'win' the AI race.

  3. Assessment: Can’t be checkedSaid

    “All this calls the business models of OpenAI and Anthropic into serious question, and may kill or greatly undermine their IPOs.”

    What we tested: Competitive Chinese open-weight models call OpenAI's and Anthropic's business models into serious question and may kill or greatly undermine their IPOs.

  4. Assessment: UnresolvedSaid

    “that the lack of a technical moat would mean that companies like OpenAI would remain unprofitable.”

    What we tested: The lack of a technical moat has kept companies like OpenAI unprofitable, as Marcus predicted.

  5. Assessment: SupportedSaid

    “that models will continue to get more efficient and less expensive, but that hallucinations and reliability problems will persist.”

    What we tested: Models have gotten more efficient and cheaper, but hallucinations and reliability problems have persisted.

    What happened: DeepSeek reports improved long-context efficiency, benchmark parity with V3.1-Terminus and an immediate API price reduction exceeding 50%. This is a concrete within-period example supporting both efficiency and price, although the performance comparison is vendor-reported. (DeepSeek, )

  6. Assessment: UnresolvedSaid

    “That’s basically what has happened.”

    What we tested: Marcus's January 2025 predictions have basically come true: that the US would not achieve a decisive AI victory over China if it continued to focus largely on LLMs, that the two would converge on a tie, that the lack of a technical moat would keep companies like OpenAI unprofitable, that Nvidia would be vulnerable, that the CHIPS act would backfire without doing much to hold China back, that models would keep getting more efficient and less expensive while hallucinations and reliability problems persisted, and that racing endlessly around LLMs would sap resources from more original ideas.

  7. Assessment: Can’t be checkedSaid

    “We should never have gone all-in on GenAI, which never seemed to offer much in the way of a technical moat, in the first place.”

    What we tested: The US should never have gone all-in on GenAI in the first place, since GenAI never seemed to offer much in the way of a technical moat.

  8. Assessment: Can’t be checkedSaid

    “Well, to begin with, Congress ought to investigate.”

    What we tested: Congress should investigate how the US lost its AI lead.

  9. Assessment: Can’t be checkedSaid

    “This may however concede a lot of the AI market to China, so it’s not ideal.”

    What we tested: If the US does nothing to support its AI labs, it may concede much of the AI market to China.

  10. Assessment: Can’t be checkedSaid

    “This would also likely crush US startups.”

    What we tested: A regulatory moat protecting OpenAI and Anthropic would likely crush US startups.

  11. Assessment: UnresolvedSaid

    “Certainly it would slow down progress and raise prices, helping two US companies at the expense of hundreds of thousands of others.”

    What we tested: If the US builds a regulatory moat, it would certainly slow down progress and raise prices, helping two US companies at the expense of hundreds of thousands of others.

  12. Assessment: Can’t be checkedSaid

    “Bail out the big AI labs. Just no:”

    What we tested: The US government should not bail out the big AI labs.

  13. Assessment: Can’t be checkedSaid

    “Given that Hegseth blasted Anthropic for refusing to do just this, and given the current administration’s tendency to prosecute critics and enemies on thin grounds, we should worry about government abuse.”

    What we tested: If the government took over the AI labs, we should worry about it abusing their data, for example for mass surveillance.

  14. Assessment: Can’t be checkedSaid

    “I still think putting AI in the public domain, with an international effort towards medicine and science, would be a good idea.”

    What we tested: AI should be put in the public domain through an international effort focused on medicine and science.

  15. Assessment: Can’t be checkedSaid

    “A decision to outlaw closed source AI — requiring all manufacturers to share their weights, architectures and training data with accredited scientists and research organizations — combined with a deal with China to dedicate AI to the public good – would be a great gift to humanity.”

    What we tested: A decision to outlaw closed-source AI, requiring all manufacturers to share their weights, architectures and training data with accredited scientists and research organizations, combined with a deal with China to dedicate AI to the public good, would be a great gift to humanity.

Held from this post (6)

These records did not pass every check, so nothing about them is published. Held is not a finding.