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.
Assessment: Can’t be checkedSaid
Forecast
“The US stock market dropped partly on this news Friday, and the repercussion are likely to be immense.”
Our reading: 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.
No horizon
Qualifier: stock market dropped partly on this news
Assessment: Can’t be checkedSaid
Observation
“It also casts serious doubt on the never-too-plausible idea that America might “win” the AI race.”
Our reading: The recent Chinese model releases cast serious doubt on the idea, never very plausible, that America might 'win' the AI race.
No horizon
Qualifier: never-too-plausible
Assessment: Can’t be checkedSaid
Forecast
“All this calls the business models of OpenAI and Anthropic into serious question, and may kill or greatly undermine their IPOs.”
Our reading: Competitive Chinese open-weight models call OpenAI's and Anthropic's business models into serious question and may kill or greatly undermine their IPOs.
No horizon
Qualifier: given competitive Chinese open-weight models
Assessment: UnresolvedSaid
Causal claim
“that the lack of a technical moat would mean that companies like OpenAI would remain unprofitable.”
Our reading: The lack of a technical moat has kept companies like OpenAI unprofitable, as Marcus predicted.
No horizon Evidence as of
Limitation: Financial evidence is reputable secondary reporting on audited statements, not directly inspected statements.
Assessment: SupportedSaid
Observation
“that models will continue to get more efficient and less expensive, but that hallucinations and reliability problems will persist.”
Our reading: Models have gotten more efficient and cheaper, but hallucinations and reliability problems have persisted.
No horizon Evidence as of
Limitation: The concrete within-period efficiency comparison is vendor-reported.
Assessment: UnresolvedSaid
Observation
“That’s basically what has happened.”
Our reading: 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.
No horizon Evidence as of
Limitation: This assesses the retrospective bundle, not a newly issued conditional forecast.
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“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.”
Our reading: 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.
No horizon
Qualifier: never seemed to offer much
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“Well, to begin with, Congress ought to investigate.”
Our reading: Congress should investigate how the US lost its AI lead.
No horizon
Assessment: Can’t be checkedSaid
Conditional forecast
“This may however concede a lot of the AI market to China, so it’s not ideal.”
Our reading: If the US does nothing to support its AI labs, it may concede much of the AI market to China.
No horizon
Only if: if the US does nothing to support OpenAI and Anthropic
Assessment: Can’t be checkedSaid
Conditional forecast
“This would also likely crush US startups.”
Our reading: A regulatory moat protecting OpenAI and Anthropic would likely crush US startups.
No horizon
Only if: if the US builds a regulatory moat to protect American AI companies
Assessment: UnresolvedSaid
Conditional forecast
“Certainly it would slow down progress and raise prices, helping two US companies at the expense of hundreds of thousands of others.”
Our reading: 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.
No deadline stated Evidence as of
Only if: if the US builds a regulatory moat
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“Bail out the big AI labs. Just no:”
Our reading: The US government should not bail out the big AI labs.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“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.”
Our reading: If the government took over the AI labs, we should worry about it abusing their data, for example for mass surveillance.
No horizon
Qualifier: if the government buys out the AI labs
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“I still think putting AI in the public domain, with an international effort towards medicine and science, would be a good idea.”
Our reading: AI should be put in the public domain through an international effort focused on medicine and science.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“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.”
Our reading: 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.
No horizon
Qualifier: combined with a deal with China to dedicate AI to the public good
Held from this post (6)
These records did not pass every check, so nothing about them is published. Held is not a finding.
- The two reviews read the claim differently
- The two reviews read the claim differently
- The criteria are ambiguous. Our reading, not assessed: OpenAI and Anthropic are mostly money-losing ventures in an industry that has not convincingly established profitability.
- The two reviews reached different assessments. Our reading, not assessed: If OpenAI and Anthropic go under, Google, Microsoft and Amazon aren't going anywhere and can provide for US needs, especially classified ones where Chinese models presumably won't be welcome.
- The two reviews reached different assessments. Our reading, not assessed: Moonshot.AI's open-weight Kimi K3 is largely on a par with the best American models.
- The two reviews read the claim differently