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

Claims that can’t be checked by Gary Marcus, page 2 of 24

Deadlines are judged as of 2026-10-29. About Gary Marcus and the sources covered.

Claims that can’t be checked by Gary Marcus (2362)

Public evidence cannot settle these claims, so they are recorded and attributed, not scored. Most were screened out: both AI providers read the claim on its own and found it a value judgment, rhetoric, hedged, too vague to test, or about something no public evidence could show. The rest were found to be recommendations or too open to test in a full review.

Page 2 of 24: claims 101 to 200 of 2362, ordered by the date first said, newest first. To find a claim by its words, use search.

  1. Assessment: Can’t be checkedSaid

    Rhetoric

    “Perhaps no industry in history has spoiled its own prospects faster than the AI industry.”

    Our reading: The AI industry may have spoiled its own prospects faster than any industry in history.

    No horizon

    Source: Data center madness

  2. Assessment: Can’t be checkedSaid

  3. Assessment: Can’t be checkedSaid

    Conditional forecast

    “And it will be interesting to see the degree to which Trump himself might further retrench, once he’s fully apprehended the writing that is now so clearly on the wall.”

    Our reading: Trump may retreat further from his pro-AI-industry, anti-regulation stance once he fully grasps how unpopular the AI industry's agenda is.

    No horizon

    Only if: once he fully apprehends public opposition to Big AI

    Source: Breaking: The Republican party is panicking over its ties to Big Tech

  4. Assessment: Can’t be checkedSaid

    Forecast

    “If, as seems plausible, OpenAI transforms into a surveillance company it will be the ultimate irony.”

    Our reading: It is plausible that OpenAI will turn into a surveillance company.

    No horizon

    Source: OpenAI is becoming a surveillance company

  5. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “This certainly raises privacy concerns.”

    Our reading: ChatGPT's new Apple Messages plugin certainly raises privacy concerns.

    No horizon

    Qualifier: certainly

    Source: OpenAI is becoming a surveillance company

  6. Assessment: Can’t be checkedSaid

    Forecast

    “In short, things could well get wild, very soon.”

    Our reading: Things around OpenAI and the AI industry could well get turbulent very soon.

    No horizon

    Source: BREAKING: OpenAI’s unraveling has begun

  7. Assessment: Can’t be checkedSaid

    Observation

    “Small wonder Nvidia was trying to cover its bets earlier this week:”

    Our reading: Nvidia was trying to hedge its exposure to OpenAI in the week of August 17, 2026.

    No horizon

    Source: BREAKING: OpenAI’s unraveling has begun

  8. Assessment: Can’t be checkedSaid

    Observation

    “It turns out people were very likely right to be skeptical, because The Wall Street Journal’s Berber Jin and Corrie Dribusch just dropped big news:”

    Our reading: People were very likely right to be skeptical that OpenAI's training pause was really for safety reasons, given the WSJ's reporting on OpenAI's revenue and losses.

    No horizon

    Qualifier: based on WSJ reporting on OpenAI's revenue and losses

    Source: BREAKING: OpenAI’s unraveling has begun

  9. Assessment: Can’t be checkedSaid

    Conditional forecast

    “Still, as Ed Zitron and I have both long noted, if OpenAI goes down the damage could spread:”

    Our reading: If OpenAI goes down, the damage could spread.

    No horizon

    Only if: if OpenAI goes down

    Source: BREAKING: OpenAI’s unraveling has begun

  10. Assessment: Can’t be checkedSaid

    Observation

    “The opening stages of OpenAI’s unraveling, which I first warned about in January 2024 (if not before), have begun.”

    Our reading: As of August 2026, the opening stages of OpenAI's unraveling have begun.

    No horizon

    Source: BREAKING: OpenAI’s unraveling has begun

  11. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “But his habit of giving people unrealistic hope is not one of them.”

    Our reading: Amodei has a habit of giving people unrealistic hope, and Marcus does not respect this about him.

    No horizon

    Source: No, Dario Amodei, we will not be curing cancer and “most human disease” in five to ten years

  12. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “In fairness, Amodei may believe what he says, but in that case he ought take Dr. Young’s suggestion of doing a medical internship, in order to better calibrate his understanding of the challenges in medicine.”

    Our reading: If Amodei believes his claims, he should do a medical internship to better understand the challenges in medicine.

    No horizon

    Qualifier: if Amodei believes what he says

    Source: No, Dario Amodei, we will not be curing cancer and “most human disease” in five to ten years

  13. Assessment: Can’t be checkedSaid

    Observation

    “(I further argued that we don’t really have the right kind of causally- and biologically-sophisticated AI yet. New advances in AI and math don’t fundamentally change what I wrote there.)”

    Our reading: We don't really have the right kind of causally and biologically sophisticated AI yet, and new advances in AI and math don't fundamentally change what Marcus argued about this.

    No horizon

    Qualifier: don't really

    Source: No, Dario Amodei, we will not be curing cancer and “most human disease” in five to ten years

  14. Assessment: Can’t be checkedSaid

    Forecast

    “Nvidia is releasing a new version of its truly open-source (not just open-weight) Nemotron model, which is good for end users and developers but that could also ultimately undercut places like OpenAI and Anthropic with whom it has deals.”

    Our reading: Nvidia's new truly open-source Nemotron model could ultimately undercut OpenAI and Anthropic, companies Nvidia has deals with.

    No horizon

    Qualifier: new truly open-source Nemotron release

    Source: BREAKING: Circular financing reaches new heights

  15. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “Nvidia is releasing a new version of its truly open-source (not just open-weight) Nemotron model, which is good for end users and developers but that could also ultimately undercut places like OpenAI and Anthropic with whom it has deals.”

    Our reading: Nvidia's new truly open-source (not just open-weight) Nemotron release is good for end users and developers.

    No horizon

    Source: BREAKING: Circular financing reaches new heights

  16. Assessment: Can’t be checkedSaid

    Causal claim

    “Greed, overhype, and recklessness have screwed it up.”

    Our reading: Greed, overhype, and recklessness in the AI industry have spoiled what could have been a great technology.

    No horizon

    Source: The one issue unifying the American public

  17. Assessment: Can’t be checkedSaid

    Forecast

    “Public backlash against AI will so be strong by 2028 that anti-AI sentiment will probably be a major factor in the 2028 US Presidential election.”

    Our reading: Public backlash against AI will be so strong by 2028 that anti-AI sentiment will probably be a major factor in the 2028 US Presidential election.

    No horizon

    Qualifier: 'probably' applies only to anti-AI sentiment being a major factor in the election; the strong backlash is stated firmly

    Source: The one issue unifying the American public

  18. Assessment: Can’t be checkedSaid

  19. Assessment: Can’t be checkedSaid

    Causal claim

    “Furthermore, if you wanted to know how much of the training data was copyrighted, you can’t look at that either — which is perhaps part of why none of the big companies want to release true open-source, and instead settle for open-weight, getting nearly all of the positive press without actually helping the community nearly as much.”

    Our reading: Not being able to see how much of the training data was copyrighted is perhaps part of why none of the big companies want to release true open-source and instead settle for open-weight, getting nearly all of the positive press without helping the community nearly as much.

    No horizon

    Qualifier: perhaps part of why

    Source: Open-source is NOT the same as open-weight

  20. Assessment: Can’t be checkedSaid

    Rhetoric

    “If pigeons are “just rats with better PR”, open-weights is open-source with all the good press but far fewer advantages.”

    Our reading: Like pigeons being 'just rats with better PR', open-weight is open-source with all the good press but far fewer advantages.

    No horizon

    Source: Open-source is NOT the same as open-weight

  21. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “Want to investigate how much of what the model does is regurgitation and how much extends beyond the training data, which is arguably the central question in AI?”

    Our reading: How much of what a model does is regurgitation versus how much extends beyond its training data is arguably the central question in AI.

    No horizon

    Qualifier: arguably

    Source: Open-source is NOT the same as open-weight

  22. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “All this makes a world of difference, to developers who might use the systems, to regulators, to scientists, and ultimately to the world.”

    Our reading: The difference between open-weight and open-source makes a world of difference to developers who might use the systems, to regulators, to scientists, and ultimately to the world.

    No horizon

    Source: Open-source is NOT the same as open-weight

  23. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “I implore them, and everyone else, for the love of Turing, please don’t confuse open-weight with open-source.”

    Our reading: The media and everyone else should not confuse open-weight models with open-source models.

    No horizon

    Source: Open-source is NOT the same as open-weight

  24. Assessment: Can’t be checkedSaid

    Forecast

    “His lack of name recognition may be a liability in the short-term, but his sobriety may be crucial in the long-run.”

    Our reading: Kavukcuoglu's low name recognition may hurt Google short-term, but his sobriety may prove crucial long-term.

    No horizon

    Source: Seven reasons I wouldn’t count Google out

  25. Assessment: Can’t be checkedSaid

    Forecast

    “Google definitely doesn’t look unassailable like they once did, and may never be as strong as they once were, but it’s premature to count them out.”

    Our reading: Google definitely doesn't look unassailable as it once did, and may never be as strong as it once was.

    No horizon

    Source: Seven reasons I wouldn’t count Google out

  26. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “Google definitely doesn’t look unassailable like they once did, and may never be as strong as they once were, but it’s premature to count them out.”

    Our reading: It is premature to count Google out.

    No horizon

    Source: Seven reasons I wouldn’t count Google out

  27. Assessment: Can’t be checkedSaid

    Conditional forecast

    “On the other hand, if things do turn out as I expect, and there is a multi-way tie with relatively modest profits, Anthropic and OpenAI don’t have that much else to fall back on; they may never earn out their investments.”

    Our reading: If things turn out as he expects, with the LLM market a multi-way tie with relatively modest profits, Anthropic and OpenAI don't have that much else to fall back on and may never earn out their investments.

    No horizon

    Only if: if the LLM market turns out to be a multi-way tie with relatively modest profits, as he expects

    Source: Seven reasons I wouldn’t count Google out

  28. Assessment: Can’t be checkedSaid

    Forecast

    “Google may simply outlast the other two.”

    Our reading: Google may outlast OpenAI and Anthropic.

    No horizon

    Source: Seven reasons I wouldn’t count Google out

  29. Assessment: Can’t be checkedSaid

    Forecast

    “That’s really bad, especially that his premise is probably off by a least a decade in the best case and quite possibly more.”

    Our reading: Robots surpassing human surgeons will probably take at least a decade longer than Musk predicts, possibly more.

    No horizon

    Qualifier: in the best case

    Source: Elon Musk’s preposterous and possibly harmful claim about robotic surgery

  30. Assessment: Can’t be checkedSaid

    Rhetoric

    “Elon Musk is, like a lot of LLMs, frequently wrong and never in doubt.”

    Our reading: Elon Musk, like a lot of LLMs, is frequently wrong and never in doubt.

    No horizon

    Qualifier: like a lot of LLMs

    Source: Elon Musk’s preposterous and possibly harmful claim about robotic surgery

  31. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “It would be nice if these Tech CEOs were more accountable for what they said.”

    Our reading: It would be nice if these tech CEOs were more accountable for what they said.

    No horizon

    Scope: these Tech CEOs

    Source: Elon Musk’s preposterous and possibly harmful claim about robotic surgery

  32. Assessment: Can’t be checkedSaid

    Causal claim

    “Just as Hinton’s famous (and famously wrong) 2016 pronouncement about no longer needing to train radiologists probably scared away potential radiologists, Musk risks scaring away potential surgeons.”

    Our reading: Musk's prediction risks deterring potential surgeons, as Hinton's wrong 2016 radiology claim probably deterred radiologists.

    No horizon

    Source: Elon Musk’s preposterous and possibly harmful claim about robotic surgery

  33. Assessment: Can’t be checkedSaid

    Causal claim

    “And many what was most critical was not some innovation in Astra per se but the idea (probably from a human) to do this particular search.”

    Our reading: Astra's math results may have stemmed mainly from a (probably human) idea to run a particular search rather than from innovation in Astra itself.

    No horizon

    Source: Two critical updates re: Astra and mathematics

  34. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “It should be mandatory reading for anyone thinking about how AI will affect mathematics, and strongly recommended for anyone who cares about AI’s impact on the world.”

    Our reading: Terence Tao's lecture should be mandatory reading for anyone thinking about how AI will affect mathematics, and is strongly recommended for anyone who cares about AI's impact on the world.

    No horizon

    Scope: anyone thinking about how AI will affect mathematics

    Source: Two critical updates re: Astra and mathematics

  35. Assessment: Can’t be checkedSaid

    Forecast

    “Astra is an obviously an advance to some degree, but that degree may well turn out to be merely incremental relative to other recent models.”

    Our reading: Astra is an advance but may well turn out to be merely incremental relative to other recent models.

    No horizon

    Qualifier: relative to other recent models

    Source: Two critical updates re: Astra and mathematics

  36. Assessment: Can’t be checkedSaid

    Observation

    “Moreover, I thought I didn’t stress it there, we all know they are facing huge economic and competitive pressures; they need a win.”

    Our reading: OpenAI faces huge economic and competitive pressures and needs a win.

    No horizon Evidence as of

    Limitation: This does not find that OpenAI faced no economic or competitive pressure.

    Source: Two critical updates re: Astra and mathematics

  37. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “I am often left with the feeling that their public facing communications are better marketing than they are science.”

    Our reading: Marcus is often left with the feeling that OpenAI's public-facing communications are better marketing than they are science.

    No horizon

    Qualifier: I am often left with the feeling

    Source: Two critical updates re: Astra and mathematics

  38. Assessment: Can’t be checkedSaid

    Observation

    “First, abstracting from all the words in my long analysis on OpenAI Astra yesterday, the overall point was that Astra may not be the breakthrough that OpenAI wants you to think it was.”

    Our reading: OpenAI's Astra may not be the breakthrough OpenAI portrays it as.

    No horizon

    Source: Two critical updates re: Astra and mathematics

  39. Assessment: Can’t be checkedSaid

    Forecast

    “I get that people are excited about Astra, but anyone hoping for magic is likely to be disappointed.”

    Our reading: People hoping Astra will be magic are likely to be disappointed.

    No horizon

    Source: OpenAI’s amazing — but vastly oversold — new model Astra

  40. Assessment: Can’t be checkedSaid

    Forecast

    “Will it be able to reliably extract numbers from arbitrary PDFs? Doubt it.”

    Our reading: Astra will probably not be able to reliably extract numbers from arbitrary PDFs.

    No horizon

    Qualifier: arbitrary PDFs

    Source: OpenAI’s amazing — but vastly oversold — new model Astra

  41. Assessment: Can’t be checkedSaid

    Forecast

    “Part II. There is an important, principled reason to think that success on math is a special case which will not generalize as much people might hope.”

    Our reading: There is an important, principled reason to think that AI success on math is a special case that will not generalize as much as people might hope.

    No horizon

    Qualifier: there is an important, principled reason to think

    Source: OpenAI’s amazing — but vastly oversold — new model Astra

  42. Assessment: Can’t be checkedSaid

    Observation

    “Nor does this mean we just entered “the era of automated scientific discovery”.”

    Our reading: Astra's results do not mean we have entered the era of automated scientific discovery.

    No horizon

    Source: OpenAI’s amazing — but vastly oversold — new model Astra

  43. Assessment: Can’t be checkedSaid

    Forecast

    “Will it solve Sabine Hossenfelder’s desire to have AI write scripts [click the tweet for more details] for her YouTube series? Doubt it.”

    Our reading: Astra will probably not be able to write usable scripts for Sabine Hossenfelder's YouTube series.

    No horizon

    Source: OpenAI’s amazing — but vastly oversold — new model Astra

  44. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “Astra, a new model that OpenAI is testing internally, is amazing.”

    Our reading: Astra, the new model OpenAI is testing internally, is amazing.

    No horizon

    Scope: model being tested internally by OpenAI

    Source: OpenAI’s amazing — but vastly oversold — new model Astra

  45. Assessment: Can’t be checkedSaid

    Observation

    “Astra is good at some math but it is very doubtful that math is “solved” (as a lot of people on X seemed to believe).”

    Our reading: Astra is good at some math, but it is very doubtful that math has been solved.

    No horizon

    Source: OpenAI’s amazing — but vastly oversold — new model Astra

  46. Assessment: Can’t be checkedSaid

    Observation

    “Astra appears to be —we still haven’t seen the methodology—great at math, or at least some forms of math, but that does not mean that it will avoid hallucinations or solve the reliability problems other GenAI systems have.”

    Our reading: Astra's apparent strength in some math does not imply it will avoid hallucinations or solve GenAI reliability problems.

    No horizon Evidence as of

    Limitation: This classification does not assess Astra's actual hallucination rate or reliability.

    Source: OpenAI’s amazing — but vastly oversold — new model Astra

  47. Assessment: Can’t be checkedSaid

    Observation

    “Astra is not (as Musk suggested) the Singularity.”

    Our reading: Astra does not represent the Singularity.

    No horizon

    Source: OpenAI’s amazing — but vastly oversold — new model Astra

  48. Assessment: Can’t be checkedSaid

    Forecast

    “I seriously doubt that Astra will magically solve all the things that don’t work reliably in current models.”

    Our reading: Astra is very unlikely to solve all the reliability problems of current models.

    No horizon

    Source: OpenAI’s amazing — but vastly oversold — new model Astra

  49. Assessment: Can’t be checkedSaid

    Observation

    “It’s *very* impressive. But I see no reason whatsoever to think Astra is AGI let alone ASI.”

    Our reading: Astra is very impressive, but Marcus sees no reason whatsoever to think Astra is AGI, let alone ASI.

    No horizon

    Qualifier: I see no reason whatsoever to think

    Source: OpenAI’s amazing — but vastly oversold — new model Astra

  50. Assessment: Can’t be checkedSaid

    Forecast

    “If it can score even a 5/10 on my 2024 bet with Miles Brundage I will be surprised.”

    Our reading: Astra is unlikely to score even 5 out of 10 on the 2024 Marcus–Brundage bet.

    No horizon

    Source: OpenAI’s amazing — but vastly oversold — new model Astra

  51. Assessment: Can’t be checkedSaid

    Forecast

    “I doubt it will lead directly to a cure for cancer, or enormous advances in “materials research, energy production, drug discovery, Everything”, as some excitable AI “influencers” envision.”

    Our reading: Astra is unlikely to lead directly to a cancer cure or enormous advances in materials, energy, or drug discovery.

    No horizon

    Source: OpenAI’s amazing — but vastly oversold — new model Astra

  52. Assessment: Can’t be checkedSaid

    Observation

    “The supposed leaders in AI and AI safety are clearly in over their heads.”

    Our reading: The companies presented as leaders in AI and AI safety, such as Anthropic and OpenAI, are clearly out of their depth on AI and cybersecurity.

    No horizon

    Qualifier: in the context of Anthropic's AI incident and the OpenAI hacks

    Source: Three reactions to Anthropics’s latest apologia

  53. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “From a societal perspective, it’s insane that we are pouring gasoline onto the fire by racing ahead with data centers and AI rollout when we have no idea how to control it and are just sort of hoping for the best.”

    Our reading: It is insane that we as a society are pouring gasoline onto the fire by racing ahead with data centers and AI rollout when we have no idea how to control AI and are just sort of hoping for the best.

    No horizon

    Scope: from a societal perspective

    Source: Three reactions to Anthropics’s latest apologia

  54. Assessment: Can’t be checkedSaid

    Observation

    “From a societal perspective, it’s insane that we are pouring gasoline onto the fire by racing ahead with data centers and AI rollout when we have no idea how to control it and are just sort of hoping for the best.”

    Our reading: We, as a society, currently have no idea how to control AI and are just sort of hoping for the best.

    No horizon

    Scope: we (society collectively)

    Source: Three reactions to Anthropics’s latest apologia

  55. Assessment: Can’t be checkedSaid

    Observation

    “Worse, we as a society are in over our heads.”

    Our reading: Society as a whole is out of its depth in dealing with AI and cybersecurity risks.

    No horizon

    Qualifier: with respect to AI and cybersecurity

    Source: Three reactions to Anthropics’s latest apologia

  56. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “For Amodei, who maybe means well, I think the issue is more one of tone deafness and self-certainty, coupled with a tendency to present arguments that frequently appear self-serving.”

    Our reading: Marcus thinks Amodei, who maybe means well, has an issue that is more one of tone deafness and self-certainty, coupled with a tendency to present arguments that frequently appear self-serving.

    No horizon

    Qualifier: I think

    Source: Dario takes it on the chin

  57. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “Given how damaging AI could ultimately be, we need people we can fully trust, and I don’t think we have that.”

    Our reading: Because AI could be very damaging, AI needs leaders who can be fully trusted.

    No horizon

    Qualifier: given how damaging AI could ultimately be

    Source: Dario takes it on the chin

  58. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “Given how damaging AI could ultimately be, we need people we can fully trust, and I don’t think we have that.”

    Our reading: Given how damaging AI could ultimately be, we need people we can fully trust, and Marcus does not think we have that.

    No horizon

    Qualifier: given how damaging AI could ultimately be

    Source: Dario takes it on the chin

  59. Assessment: Can’t be checkedSaid

    Forecast

    “Maybe one or the other, Altman or Amodei, will regain the public’s trust, but it is far from obvious that they will.”

    Our reading: It is far from obvious that either Altman or Amodei will regain the public's trust.

    No horizon

    Source: Dario takes it on the chin

  60. Assessment: Can’t be checkedSaid

    Observation

    “All told, it would appear that most of the goodwill that Amodei accumulated in standing up to Hegseth has dissipated, much as most of the goodwill towards Altman eventually did.”

    Our reading: Most of the goodwill Amodei gained by standing up to Hegseth appears to have dissipated, as most goodwill toward Altman did.

    No horizon

    Qualifier: it would appear

    Source: Dario takes it on the chin

  61. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “As bad as Sam Altman is, Dario Amodei isn’t all that different.”

    Our reading: As bad as Sam Altman is, Dario Amodei is not all that different from him.

    No horizon

    Qualifier: as bad as Sam Altman is

    Source: Dario takes it on the chin

  62. Assessment: Can’t be checkedSaid

    Observation

    “Sam, as is often the case, is simply aping Elon. (And for that matter Sam himself said it a year ago, in a self-contradictory blog that never defines the term.)”

    Our reading: Sam Altman's singularity claim merely copies Elon Musk, and Altman's earlier blog on it never defined the term.

    No horizon

    Source: Sorry, Sam and Elon, we have not reached the Singularity

  63. Assessment: Can’t be checkedSaid

    Observation

    “But intelligence is multidimensional; we may have made lots of progress on some, and not so much on others.”

    Our reading: Intelligence is multidimensional, and AI may have progressed a lot on some dimensions but much less on others.

    No horizon

    Source: Sorry, Sam and Elon, we have not reached the Singularity

  64. Assessment: Can’t be checkedSaid

    Forecast

    “None of this means we won’t someday (most likely not this decade) reach a moment of superintelligence.”

    Our reading: Superintelligence may arrive someday but most likely not before the end of this decade (2029).

    No horizon

    Source: Sorry, Sam and Elon, we have not reached the Singularity

  65. Assessment: Can’t be checkedSaid

    Causal claim

    “We can still perfectly well shut this stuff off if we want to. (It’s mainly because of greed that we don’t, stepping on the gas rather than the brake.)”

    Our reading: Humans can still shut off current AI systems, and the main reason they don't is greed.

    No horizon

    Qualifier: if we want to

    Source: Sorry, Sam and Elon, we have not reached the Singularity

  66. Assessment: Can’t be checkedSaid

    Conditional forecast

    “And if we don’t radically up our game on AI safety, it could be out of our control.”

    Our reading: If AI safety is not radically improved, a future superintelligence could be out of human control.

    No horizon

    Only if: if we don't radically up our game on AI safety

    Source: Sorry, Sam and Elon, we have not reached the Singularity

  67. Assessment: Can’t be checkedSaid

    Observation

    “Another notion is that a singularity is a moment in which we can no longer peer forward into the future, but I don’t think we are there yet, either, as an entrepreneur on X pointed out, rightly ripping intp all the recent Singularity talk as nothing more than PR:”

    Our reading: Marcus does not think we have yet reached a point where we can no longer peer forward into the future, and he endorses an entrepreneur on X's view that the recent Singularity talk is nothing more than PR.

    No horizon

    Qualifier: I don't think

    Source: Sorry, Sam and Elon, we have not reached the Singularity

  68. Assessment: Can’t be checkedSaid

    Rhetoric

    “CEOs can say whatever they like. That doesn’t make them true.”

    Our reading: CEO claims that the singularity has arrived are not true just because CEOs make them.

    No horizon

    Source: Sorry, Sam and Elon, we have not reached the Singularity

  69. Assessment: Can’t be checkedSaid

  70. Assessment: Can’t be checkedSaid

    Forecast

    “Here’s a projection from May that got 1.4 million views that now, two Chinese models and the death of tokenmaxxing later, looks like it has very little chance to be true:”

    Our reading: A widely viewed AI projection from May 2026 has very little chance of coming true.

    No horizon

    Qualifier: after two Chinese models and the death of tokenmaxxing

    Source: Sorry, Sam and Elon, we have not reached the Singularity

  71. Assessment: Can’t be checkedSaid

    Causal claim

    “Had OpenAI ordinary guardrail classifiers been in place, it wouldn’t have happened. It doesn’t count as “uncontrollable” if you have to give the system a head and shoulders head start.”

    Our reading: OpenAI's ordinary guardrail classifiers would have prevented the HuggingFace hack, so it does not show uncontrollable AI.

    No horizon

    Qualifier: if OpenAI's ordinary guardrail classifiers had been in place

    Source: Sorry, Sam and Elon, we have not reached the Singularity

  72. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “The whole thing never made sense though.”

    Our reading: The $300 billion Oracle-OpenAI deal announced on September 10, 2025 never made sense.

    No horizon

    Source: Circular financing ain’t what it used to be

  73. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “And then there’s all the off-balance-sheet financing that is coming to light. And the sudden need for so-called “creative financing”. If that’s not a warning sign, I don’t know what is.”

    Our reading: The off-balance-sheet financing coming to light and the sudden need for so-called 'creative financing' in the GenAI boom are a warning sign.

    No horizon

    Source: Circular financing ain’t what it used to be

  74. Assessment: Can’t be checkedSaid

  75. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “I think the US should at least consider pivoting and trying to work with China towards AI for global good, rather than creating a new cold war”

    Our reading: The US should at least consider pivoting toward working with China on AI for global good instead of starting a new AI cold war.

    No horizon

    Qualifier: at least consider

    Source: An open letter to David Sacks

  76. Assessment: Can’t be checkedSaid

    Conditional forecast

    “a new cold war that is likely to an end in uncomfortable way for all, with no clear winners”

    Our reading: If the US starts a new AI cold war with China, it will probably end uncomfortably for everyone, with no clear winners.

    No horizon

    Only if: if the US creates a new cold war with China over AI

    Source: An open letter to David Sacks

  77. Assessment: Can’t be checkedSaid

    Observation

    “Nobody really knows what havoc these systems are going to cause, and nobody has a clear plan for how to mitigate all the risks and yet we are rushing ahead spending trillions of dollars and risking economic collapse to build them as fast as possible.”

    Our reading: Nobody really knows what havoc these systems are going to cause, nobody has a clear plan for how to mitigate all the risks, and yet we are rushing ahead spending trillions of dollars and risking economic collapse to build them as fast as possible.

    No horizon

    Scope: a clear plan to mitigate all the risks

    Source: OpenAI’s disconcerting hack of HuggingFace

  78. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “But it’s still disconcerting that the OpenAI systems were able to do this.”

    Our reading: It is still disconcerting that OpenAI's systems were able to hack into HuggingFace.

    No horizon

    Qualifier: during a benchmark evaluation

    Source: OpenAI’s disconcerting hack of HuggingFace

  79. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “Bottom line: OpenAI’s zero-day exploit hack of HuggingFace *should* be a wake up call.”

    Our reading: OpenAI's zero-day hack of HuggingFace should be treated as a wake-up call.

    No horizon

    Source: OpenAI’s disconcerting hack of HuggingFace

  80. Assessment: Can’t be checkedSaid

    Observation

    “There are probably implications for open weight/open source models, but those implications are complex and not yet entirely clear.”

    Our reading: The incident probably has implications for open-weight models, but they are complex and not yet clear.

    No horizon

    Source: OpenAI’s disconcerting hack of HuggingFace

  81. Assessment: Can’t be checkedSaid

    Causal claim

    “Spending trillions on data centers which risk blowing up the economy is only adding fuel to the fire.”

    Our reading: Spending trillions on data centers, which risk blowing up the economy, is only adding fuel to the fire.

    No horizon

    Source: OpenAI’s disconcerting hack of HuggingFace

  82. Assessment: Can’t be checkedSaid

    Observation

    “On the less comforting side, OpenAI’s “production classifiers” are likely to be permeable, just like all guardrails anybody has built to date.”

    Our reading: OpenAI's production classifiers are likely to be permeable, just like all guardrails anybody has built to date.

    No horizon

    Qualifier: just like all guardrails built to date

    Source: OpenAI’s disconcerting hack of HuggingFace

  83. Assessment: Can’t be checkedSaid

    Conditional forecast

    “Short of that, we are in for a very rough ride.”

    Our reading: If AI companies are not held liable for harms, we are in for a very rough ride.

    No horizon

    Only if: companies not held liable for harms

    Source: OpenAI’s disconcerting hack of HuggingFace

  84. Assessment: Can’t be checkedSaid

    Rhetoric

    “And we all know how much OpenAI (and for that matter Anthropic) love playing the doom card.”

    Our reading: OpenAI, and for that matter Anthropic, love playing the doom card.

    No horizon

    Source: OpenAI’s disconcerting hack of HuggingFace

  85. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “We should either (a) slow down, or (b) pause until we get our security/AI safety act together.”

    Our reading: AI development should slow down or pause until security and AI safety are under control.

    No horizon

    Qualifier: until security/AI safety is in order

    Source: OpenAI’s disconcerting hack of HuggingFace

  86. Assessment: Can’t be checkedSaid

    Conditional forecast

    “In my opinion, the only way that the industry might actually slow down, though, is if we clearly and unambiguously hold the companies liable for the harms that they cause.”

    Our reading: The AI industry might slow down only if companies are clearly held liable for the harms they cause.

    No horizon

    Only if: companies clearly held liable for harms

    Source: OpenAI’s disconcerting hack of HuggingFace

  87. 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

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

  88. 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

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

  89. 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

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

  90. 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

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

  91. 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

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

  92. 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

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

  93. Assessment: Can’t be checkedSaid

  94. 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

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

  95. 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

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

  96. 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

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

  97. 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

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

  98. Assessment: Can’t be checkedSaid

    Observation

    “As recently as a few months ago, getting the US to implement preflight testing seemed hopeless, given a great hostility to AI regulation that was then widespread in Washington.”

    Our reading: As recently as a few months before July 2026, getting the US to implement preflight testing seemed hopeless, given great hostility to AI regulation that was then widespread in Washington.

    No horizon

    Qualifier: as recently as a few months ago

    Source: Breaking: Demis Hassabis endorses preflight safety testing for AI

  99. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “The FINRA model that he suggests is excellent, and the world will be a better place if it is implemented, with transparency and independence.”

    Our reading: The FINRA model Hassabis suggests is excellent, and the world will be a better place if it is implemented with transparency and independence.

    No horizon

    Qualifier: if it is implemented with transparency and independence

    Source: Breaking: Demis Hassabis endorses preflight safety testing for AI

  100. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “it cannot be just the government and big tech companies that make these decisions, particularly because of the potential for conflict of interest in a time in which the US government is contemplating take a stake in AI companies.”

    Our reading: It cannot be just the government and big tech companies that make AI preflight testing decisions, particularly because of the potential for conflict of interest while the US government is contemplating taking a stake in AI companies.

    No horizon

    Qualifier: particularly because of the potential for conflict of interest

    Source: Breaking: Demis Hassabis endorses preflight safety testing for AI