Claims that can’t be checked by Gary Marcus, page 3 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 (2353)
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 3 of 24: claims 201 to 300 of 2353, ordered by the date first said, newest first. To find a claim by its words, use search.
Assessment: Can’t be checkedSaid
Observation
“The ultimate culmination of the “no moat => more competitors => price wars => profits are scarce” argument that I have been making here regularly since the summer of 2023, has arrived — and may wreck the U.S. AI industry:”
Our reading: The culmination of Marcus's 'no moat => more competitors => price wars => profits are scarce' argument, which he has made regularly since summer 2023, has arrived, and it may wreck the U.S. AI industry.
No horizon
Qualifier: may wreck the U.S. AI industry
Source: China catches up
Assessment: Can’t be checkedSaid
Forecast
“has arrived — and may wreck the U.S. AI industry:”
Our reading: Price wars from low-cost competitors may wreck the U.S. AI industry.
No horizon
Source: China catches up
Assessment: Can’t be checkedSaid
Forecast
“It is hard to see how Anthropic and OpenAI are going to pull off trillion-dollar IPOs in light of this news, especially given the newfound industry-wide price sensitivity in token budgets.”
Our reading: Anthropic and OpenAI are unlikely to achieve trillion-dollar IPOs given price wars and industry-wide token price sensitivity.
No horizon
Qualifier: given industry-wide price sensitivity in token budgets
Source: China catches up
Assessment: Can’t be checkedSaid
Forecast
“In the light, it is hard to see how all the massive data center investments will pay off, with price wars dropping token prices to near zero; the meagre profits are unlikely ever to justify the massive outlays.”
Our reading: Massive AI data center investments are unlikely ever to pay off because price wars are driving token prices toward zero, leaving meagre profits.
No horizon
Qualifier: price wars dropping token prices to near zero
Source: China catches up
Assessment: Can’t be checkedSaid
Forecast
“Maybe, for example, instead of racing to sell the cheapest LLMs, a battle we are unlikely to win, we should be focusing on cultivating new forms of AI that are better suited for science and medicine.”
Our reading: The U.S. is unlikely to win a race with China to sell the cheapest LLMs.
No horizon
Qualifier: competing with China
Source: China catches up
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“Maybe, for example, instead of racing to sell the cheapest LLMs, a battle we are unlikely to win, we should be focusing on cultivating new forms of AI that are better suited for science and medicine.”
Our reading: The U.S. should perhaps focus on developing new forms of AI suited to science and medicine rather than racing to sell the cheapest LLMs.
No horizon
Qualifier: instead of racing to sell the cheapest LLMs
Source: China catches up
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“The combination of high operating costs, unreliability, and small margins is not a winning formula—and certainly not one that we should be structuring our entire economy around.”
Our reading: The combination of high operating costs, unreliability, and small margins is not a winning formula, and certainly not one that we should be structuring our entire economy around.
No horizon
Source: China catches up
Assessment: Can’t be checkedSaid
Causal claim
“However you slice it, the delay reflects a lack of confidence.”
Our reading: OpenAI's IPO delay reflects a lack of confidence.
No horizon
Assessment: Can’t be checkedSaid
Observation
“We are perhaps already seeing evidence for that”
Our reading: There is perhaps already evidence that OpenAI's troubles are hurting companies it does business with.
No horizon
Assessment: Can’t be checkedSaid
Rhetoric
“Even Polymarket sees it now; the game has changed:”
Our reading: The game has changed, and even Polymarket now sees it.
No horizon
Assessment: Can’t be checkedSaid
Forecast
“I will not be surprised if their IPO plans fall apart, too”
Our reading: OpenAI's IPO plans may fall apart, as WeWork's did.
No horizon
Assessment: Can’t be checkedSaid
Conditional forecast
“If the argument I laid out there is remotely correct, hyperscaling could prove to be among the biggest financial blunders in history.”
Our reading: If his FT argument is even remotely correct, hyperscaling could prove to be among the biggest financial blunders in history.
No horizon
Only if: if his FT argument is remotely correct
Assessment: Can’t be checkedSaid
Forecast
“None of this bodes well for the US AI industry.”
Our reading: Recent developments (IPO delay, stock declines, policy chaos, Chinese competition, commoditization) bode poorly for the US AI industry.
No horizon
Assessment: Can’t be checkedSaid
Forecast
“And, again, the WSJ prediction of a positive quarter that Smith pointed to was speculation; it’s not at all clear that it will actually come to pass, given all that happened since then.”
Our reading: It is not at all clear that Anthropic will actually report the profitable quarter WSJ predicted.
No horizon
Assessment: Can’t be checkedSaid
Forecast
“Yesterday a new Chinese, open-source model came out that might make all of this drastically worse for the US LLM companies:”
Our reading: A new Chinese open-source model might make commoditization, price wars and elusive profits drastically worse for US LLM companies.
No horizon
Qualifier: due to new Chinese open-source model
Source: The Generative AI Fizzle™
Assessment: Can’t be checkedSaid
Forecast
“They might, but maybe what we will see is more like a slow decline, as investors lose enthusiasm for the ratio between hype (insane) and profits (not that impressive thus far).”
Our reading: AI valuations may decline slowly rather than all at once, as investors lose enthusiasm given insane hype relative to unimpressive profits.
No horizon
Qualifier: as investors lose enthusiasm for the hype-to-profit ratio
Source: The Generative AI Fizzle™
Assessment: Can’t be checkedSaid
Conditional forecast
“If GenAI-mania does fall apart, slowly or suddenly, it’s a big deal, especially given the growing amount of debt.”
Our reading: If generative AI mania falls apart, slowly or suddenly, it will be a big deal, especially given growing debt.
No horizon
Only if: if GenAI-mania falls apart, slowly or suddenly
Source: The Generative AI Fizzle™
Assessment: Can’t be checkedSaid
Forecast
“To be sure I don’t expect LLMs to disappear anytime soon but the valuations and market caps we are currently seeing may eventually be seen as ludicrous.”
Our reading: Current AI valuations and market caps may eventually be seen as ludicrous.
No horizon
Source: The Generative AI Fizzle™
Assessment: Can’t be checkedSaid
Conditional forecast
“if enough other big customers are similarly disappointed, the whole jig will be up.”
Our reading: If enough other big customers are disappointed with their AI returns the way Accenture was, "the whole jig" (an unspecified current AI arrangement) will be up.
No horizon
Only if: if enough other big customers are similarly disappointed
Source: Accenture: Then and now, and how it may signify things to come
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“Either we curtail LLMs until we find a better technology, or we live with consequences.”
Our reading: Society must either restrict LLMs until a better technology is found or accept the consequences of their unsafe guardrails.
No horizon
Qualifier: until a better technology is found
Assessment: Can’t be checkedSaid
Observation
“Next-token predictors simply aren‘t built for safety.”
Our reading: Next-token predictors (LLMs) simply aren't built for safety.
No horizon
Scope: next-token predictors
Assessment: Can’t be checkedSaid
Forecast
“To be sure, Washington might succeed in knee-capping Anthropic, rescuing Josh Kushner’s investment in OpenAI:”
Our reading: The US government might succeed in knee-capping Anthropic, which would protect Josh Kushner's investment in OpenAI.
No horizon
Source: OpenAI’s lead is dwindling fast
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“But they must do this transparently, and with fairness, and clarity, based on technical facts, and without the appearance of corruption.”
Our reading: Governments must block unsafe AI deployments transparently, fairly, clearly, based on technical facts and without appearance of corruption.
No horizon
Source: What Washington must do
Assessment: Can’t be checkedSaid
Forecast
“Moreover, because the construction of the order targeted foreigners — even eminent ones who have long lived and worked in the US such as Andrej Karpathy – it may lead to a massive brain drain.”
Our reading: Because the order targeted foreigners, it may cause a massive AI brain drain from the US.
No horizon
Qualifier: order targeted foreigners
Source: What Washington must do
Assessment: Can’t be checkedSaid
Observation
“It looks like they were looking for an excuse to screw Anthropic, and blind to the larger consequences.”
Our reading: The White House appears to have been looking for an excuse to harm Anthropic while ignoring larger consequences.
No horizon
Source: What Washington must do
Assessment: Can’t be checkedSaid
Observation
“Effectively — and ironically — they have actually vindicated Amodei’s claim that some AI might need to be regulated and might require export controls.”
Our reading: By its action the White House has vindicated Amodei's claim that some AI might need regulation and export controls.
No horizon
Source: What Washington must do
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“But it is the job of the US government to be the adult in the room, and to make decisions that are sound for the nation.”
Our reading: The US government should act as the adult in the room and make AI decisions that are sound for the nation.
No horizon
Source: What Washington must do
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“There was no real justification for the speed at which a decision with such lasting consequences was made.”
Our reading: There was no real justification for the speed at which the White House made a decision with such lasting consequences.
No horizon
Scope: a decision with such lasting consequences
Source: What Washington must do
Assessment: Can’t be checkedSaid
Rhetoric
“It is a feast for Xi Jinping.”
Our reading: The White House decision is a big win for China.
No horizon
Source: What Washington must do
Assessment: Can’t be checkedSaid
Observation
“What the White House did seems arbitrary. And maybe even corrupt”
Our reading: The White House's Friday AI decision against Anthropic seems arbitrary and may even be corrupt.
No horizon
Source: What Washington must do
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“What Washington must do now is make those calls in a clear and transparent way, in a way that doesn’t reek of corruption.”
Our reading: What Washington must do now is make the calls about which AI models might be risky in a clear and transparent way that doesn't reek of corruption.
No horizon
Qualifier: now
Source: What Washington must do
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“An independent agency. Not last minute, opaque decisions made by a small cabal that hint at favoritism and corruption.”
Our reading: The US should govern AI deployments through an independent agency rather than opaque last-minute decisions by a small group.
No horizon
Source: What Washington must do
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“I have my reservations about generative AI, but this is not the way.”
Our reading: Despite reservations about generative AI, the Commerce Department's directive suspending foreign-national access to Anthropic's models is the wrong way to handle AI.
No horizon
Qualifier: despite reservations about generative AI
Source: Breaking news: US Commerce Department effectively shuts down Anthropic’s latest models
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“It was both bad policy and bad politics.”
Our reading: The Commerce Department's export control order was both bad policy and bad politics.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“We need a stronger hand from the government in forcing companies to address those harms.”
Our reading: The US government should take a stronger hand in forcing AI companies to address chatbot harms.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“I still believe, absolutely, that we cannot count on the AI industry to self-regulate, and that government must look—in a comprehensive way considering the full range of known risks—at new advances that are likely to be massively deployed models before they are released.”
Our reading: Government must comprehensively review, across all known risks, new AI models likely to be massively deployed before they are released.
No horizon
Qualifier: for new advances likely to be massively deployed
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“What we need now is something I have not seen of the Trump administration: carefully considered nuance. Shoot first and ask questions later is not what we need right now.”
Our reading: The Trump administration should take a carefully considered, nuanced approach to AI policy rather than shooting first.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“States have no choice but to pick up the slack if they are to protect their citizens.”
Our reading: US states must step in on AI oversight if they are to protect their citizens.
No horizon
Qualifier: if they are to protect their citizens
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“More broadly, what we should all demand from our leaders is strong but measured AI oversight that is (a) bipartisan, (b) technically well-informed, and (c) calm and considered, proactive rather than reactive.”
Our reading: Leaders should provide strong but measured AI oversight that is bipartisan, technically well-informed, calm, and proactive rather than reactive.
No horizon
Assessment: Can’t be checkedSaid
Rhetoric
“Where is the US with respect to AI policy? It’s a mess.”
Our reading: US AI policy is a mess.
No horizon
Assessment: Can’t be checkedSaid
Forecast
“Now let’s consider last night’s Commerce Department cut-off-your-nose-to-spite-your-face export control order, which has basically led to the (temporary?) shutdown of Fable and Mythos, perhaps sparking a crisis in the US AI industry.”
Our reading: The Commerce Department export control order may spark a crisis in the US AI industry.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“Whatever you might think about Mythos or Fable or AI in general, what was just identified was not new and likely not specific to Mythos or Fable and in any case should not have been addressed in such a hasty, arbitrary way, with such little attention to downstream consequences.”
Our reading: What was just identified about Fable should not have been addressed in such a hasty, arbitrary way, with such little attention to downstream consequences.
No horizon
Qualifier: in any case
Assessment: Can’t be checkedSaid
Observation
“Instead, let’s talk Section 230 — and why it might not protect AI companies as muuch as they might like..”
Our reading: Section 230 may not protect AI companies from liability as much as they would like.
No horizon
Qualifier: under Section 230
Source: Maybe Section 230 doesn’t shield AI companies from liability, after all
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“I wish them luck — lots of it.”
Our reading: Marcus wishes the bipartisan sponsors of the bill to sunset Section 230 a great deal of luck, expressing his hope that it succeeds.
No horizon
Source: Maybe Section 230 doesn’t shield AI companies from liability, after all
Assessment: Can’t be checkedSaid
Conditional forecast
“It might actually force the tech industry to get its act together, to try to find a sounder foundation for AI, in which hallucinations weren’t baked in.”
Our reading: If AI companies were held liable for their systems' output, it might force the industry to seek a sounder AI foundation without baked-in hallucinations.
No horizon
Only if: if AI companies were held liable for their systems' output
Source: Maybe Section 230 doesn’t shield AI companies from liability, after all
Assessment: Can’t be checkedSaid
Forecast
“Sorry to bother your mailbox again but this legal decision is potentially huge, especially if it spreads and other countries make similar decisions.”
Our reading: The legal decision holding Google liable for hallucinations is potentially huge, especially if it spreads and other countries make similar decisions.
No horizon
Qualifier: especially if it spreads and other countries make similar decisions
Assessment: Can’t be checkedSaid
Forecast
“Coupled with my newsletter from earlier today on SoftBank and OpenAI (which is seeming more relevant by the minute) and another day on Wall Street like this, it looking like it could be a tough week for generative AI.”
Our reading: Taken together with this legal decision, his earlier newsletter on SoftBank and OpenAI, and another day on Wall Street like this one, it looks like it could be a tough week for generative AI.
No horizon
Qualifier: coupled with my newsletter from earlier today on SoftBank and OpenAI
Assessment: Can’t be checkedSaid
Forecast
“There are others, but that that is the most likely scenario to me is that openAI at some point can’t really make ends meet.”
Our reading: The most likely scenario for the AI boom breaking is that OpenAI at some point can't make ends meet.
No horizon
Assessment: Can’t be checkedSaid
Observation
“That’s domino 2: we can infer that the banks don’t really think that OpenAI is worth its current valuation. They don’t want OpenAI stock as collateral.”
Our reading: Banks evidently do not think OpenAI is worth its current valuation and don't want its stock as collateral.
No horizon
Assessment: Can’t be checkedSaid
Forecast
“So maybe domino 3 is this: OpenAI may well wind up as the WeWork of AI.”
Our reading: OpenAI may well end up as the WeWork of AI.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“It’s pretty clear he should not be trusted.”
Our reading: It is pretty clear that Sam Altman should not be trusted.
No horizon
Qualifier: it's pretty clear
Assessment: Can’t be checkedSaid
Forecast
“I think it’s a low probability of the bet coming through, but it’s not zero.”
Our reading: The giant GenAI investment bet has a low but nonzero probability of paying off.
No horizon
Assessment: Can’t be checkedSaid
Forecast
“That Wile E Coyote moment could turn out to be soon.”
Our reading: The moment when the AI boom collapses, as everyone realizes they got it wrong, could come soon.
No horizon
Assessment: Can’t be checkedSaid
Observation
“Every bad sign is worse now. The big difference is that people are finally noticing.”
Our reading: Every warning sign about OpenAI is worse now than two years ago, and people are finally noticing.
No horizon Evidence as of
Limitation: No evidence items were gathered, because there is no defined set of signs or measure to test against.
Assessment: Can’t be checkedSaid
Conditional forecast
“If the market gets squirrelly on OpenAI’s IPO, which after today seems like a real possibility, OpenAI might be forced to withdraw its IPO (Domino 3), or to cut their aspirations sharply.”
Our reading: If the market turns skittish on OpenAI's IPO (a real possibility), OpenAI might be forced to withdraw its IPO or sharply cut its aspirations.
No horizon
Only if: if the market gets squirrelly on OpenAI's IPO
Assessment: Can’t be checkedSaid
Observation
“they’re clearly afraid of anthropic.”
Our reading: OpenAI, in rushing its IPO ahead of Anthropic, is clearly afraid of Anthropic.
No horizon
Assessment: Can’t be checkedSaid
Forecast
“I tend to think that OpenAI is the one that goes down first.”
Our reading: OpenAI is likely the first major AI company to fail.
No horizon
Qualifier: among major AI companies
Assessment: Can’t be checkedSaid
Conditional forecast
“And the damage might affect the banking system, retirement plans and more (too many dominoes to count).”
Our reading: If OpenAI can't meet its obligations, the damage might spread to the banking system, retirement plans and more.
No horizon
Only if: if OpenAI can't meet its obligations
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“SoftBank took an immediate hit; dropping the ask reeks of desperation, and its a terrible vote of nonconfidence that the banks still said no:”
Our reading: SoftBank took an immediate hit, its reduced margin-loan ask reeks of desperation, and the banks still refusing it is a terrible vote of no confidence.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“now the entire world is worried about whether AI is a bubble. And rightly so.”
Our reading: The entire world (hyperbolically) is now worried about whether AI is a bubble, and rightly so.
No horizon
Qualifier: 'the entire world' is hyperbole
Assessment: Can’t be checkedSaid
Rhetoric
“Anthropic once again played the media like a fiddle. And so many folks ate it all up.”
Our reading: Anthropic once again played the media like a fiddle over Mythos, and so many people ate it all up.
No horizon
Qualifier: once again
Source: The revenge of Claude Mythos
Assessment: Can’t be checkedSaid
Forecast
“Anthropic has a chance of being profitable, but reaching 10x the IPO price would be amazing.”
Our reading: Anthropic has a chance of becoming profitable.
No horizon
Source: An entire industry is being propped up by math that is insane.
Assessment: Can’t be checkedSaid
Forecast
“AI is not profitable yet, and may never be.”
Our reading: AI may never become profitable.
No horizon
Source: An entire industry is being propped up by math that is insane.
Assessment: Can’t be checkedSaid
Forecast
“GenAI is a risky bet that could pay off, or it could well tank the economy.”
Our reading: Generative AI is a risky bet that could pay off or could well tank the economy.
No horizon
Source: An entire industry is being propped up by math that is insane.
Assessment: Can’t be checkedSaid
Rhetoric
“I have to think that anyone who buys the SpaceX IPO just isn’t that good at math. Or history.”
Our reading: Buying the SpaceX IPO reflects poor understanding of math or history.
No horizon
Source: An entire industry is being propped up by math that is insane.
Assessment: Can’t be checkedSaid
Observation
“OpenAI is in trouble, and may not make it.”
Our reading: OpenAI is in trouble.
No horizon
Source: An entire industry is being propped up by math that is insane.
Assessment: Can’t be checkedSaid
Forecast
“OpenAI is in trouble, and may not make it.”
Our reading: OpenAI may not survive.
No horizon
Source: An entire industry is being propped up by math that is insane.
Assessment: Can’t be checkedSaid
Conditional forecast
“If there is a boost in productivity, we will perhaps see it first in coding, but 2.7x relative to the entire economy is an enormous ask.”
Our reading: If AI boosts productivity, the boost may appear first in coding.
No horizon
Only if: if there is a boost in productivity
Source: An entire industry is being propped up by math that is insane.
Assessment: Can’t be checkedSaid
Observation
“But you could make similar graphs in many domains: loads of nominal productivity, but not much real world impact.”
Our reading: In many domains AI produces lots of nominal productivity but little real-world impact.
No horizon
Qualifier: in many domains
Source: Slop, productivity, and why the AI-fueled world is going nowhere mighty fast
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“The graphs from FT and The Washington Post show the same thing over and over; we are being flooded with AI-generated content, from apps to music to scientific papers, but that doesn’t make any of it any good. Most of it (in fairness, not all) isn’t.”
Our reading: We are being flooded with AI-generated content, from apps to music to scientific papers, but that does not make it good, and most of it, though not all, is not good.
No horizon
Scope: most of it (in fairness, not all)
Source: Slop, productivity, and why the AI-fueled world is going nowhere mighty fast
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“But all too often that content — created by a giant but unreliable word prediction machine that is more regurgitative than innovative — is of little lasting value.”
Our reading: All too often, content from generative AI, a giant but unreliable word prediction machine that is more regurgitative than innovative, is of little lasting value.
No horizon
Qualifier: all too often
Source: Slop, productivity, and why the AI-fueled world is going nowhere mighty fast
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“Most of it is slop (and in some cases work slop):”
Our reading: Most of the AI-generated content is slop, and in some cases work slop.
No horizon
Scope: most of it
Source: Slop, productivity, and why the AI-fueled world is going nowhere mighty fast
Assessment: Can’t be checkedSaid
Observation
“Maybe the biggest exception is coding, but even there, it’s not yet clear how many of the systems that have been created with the help of agentic coding will endure.”
Our reading: Coding may be the biggest exception to AI's low value, but it is not yet clear how many systems built with agentic coding will endure.
No horizon
Qualifier: coding may be the biggest exception
Source: Slop, productivity, and why the AI-fueled world is going nowhere mighty fast
Assessment: Can’t be checkedSaid
Conditional forecast
“It could well be that once the providers (Open AI, Anthropic, Cursor, etc) attempt to charge enough money to cover their losses, the cost of AI could become more expensive than the humans it is replacing.”
Our reading: It could well be that once AI providers such as OpenAI, Anthropic and Cursor attempt to charge enough to cover their losses, AI could become more expensive than the humans it is replacing.
No horizon
Only if: once providers attempt to charge enough money to cover their losses
Source: Slop, productivity, and why the AI-fueled world is going nowhere mighty fast
Assessment: Can’t be checkedSaid
Rhetoric
“Talk about digging holes without creating real value.”
Our reading: The AI spending and losses he has just described amount to digging holes without creating real value.
No horizon
Source: Slop, productivity, and why the AI-fueled world is going nowhere mighty fast
Assessment: Can’t be checkedSaid
Observation
“It’s hard even to say how the chip companies are doing, once you factor out all the circular financing and shrinking cash flow.”
Our reading: It is hard even to say how the chip companies are doing once circular financing and shrinking cash flow are factored out.
No horizon
Qualifier: once you factor out circular financing and shrinking cash flow
Source: Slop, productivity, and why the AI-fueled world is going nowhere mighty fast
Assessment: Can’t be checkedSaid
Observation
“It is very likely that the same thing is happening in math.”
Our reading: It is very likely that math research is being flooded with low-quality AI-generated work.
No horizon
Source: Slop, productivity, and why the AI-fueled world is going nowhere mighty fast
Assessment: Can’t be checkedSaid
Forecast
“The new cold war will be about AI.”
Our reading: The new cold war will be about AI.
No horizon
Source: AI’s Black Friday
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“(And Google might perhaps be wise not to accept Trump’s proffered investment, given how much of their income is global; OpenAI may be so desperate they have no choice.)”
Our reading: Google might be wise not to accept Trump's offered government investment, because so much of its income is global.
No horizon
Qualifier: given how much of Google's income is global
Source: AI’s Black Friday
Assessment: Can’t be checkedSaid
Observation
“(And Google might perhaps be wise not to accept Trump’s proffered investment, given how much of their income is global; OpenAI may be so desperate they have no choice.)”
Our reading: OpenAI may be so financially desperate that it has no choice but to accept government investment.
No horizon
Source: AI’s Black Friday
Assessment: Can’t be checkedSaid
Forecast
“I doubt Friday was as bad as it will get, so the title of this essay (“AI’s Black Friday”) is a bit tongue in cheek.”
Our reading: Marcus doubts that Friday, June 5, 2026 was as bad as the AI-related market downturn will get.
No horizon
Qualifier: I doubt
Source: AI’s Black Friday
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“Bailing out OpenAI is crony socialism and corruption (remember those $25M donations from Greg Brockman and his wife?), preventing capitalism from taking its natural course.”
Our reading: Bailing out OpenAI is crony socialism and corruption that prevents capitalism from taking its natural course.
No horizon
Source: AI’s Black Friday
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“I have no idea whether Monday’s market will continue the downward trends we saw Friday. But it should.”
Our reading: The market ought to keep falling on Monday, June 8, 2026, though Marcus says he does not know whether it will.
No horizon
Source: AI’s Black Friday
Assessment: Can’t be checkedSaid
Causal claim
“This year, SpaceX’s AI division is leasing GPUs left, right, and center, because they can’t figure out what to do with them.”
Our reading: SpaceX's AI division is leasing out large numbers of GPUs in 2026 because it cannot figure out what to do with them.
No horizon
Source: AI’s Black Friday
Assessment: Can’t be checkedSaid
Forecast
“Who can forget the hapless Meta, which may ultimately win the prize for most money burned vs least results?”
Our reading: Meta may end up burning the most money on AI for the least results.
No horizon
Source: AI’s Black Friday
Assessment: Can’t be checkedSaid
Forecast
“Instead, they want people to talk about an “option” they don’t actually plan to take, and are unlikely to ever take.”
Our reading: Anthropic does not plan to pause AI development and is unlikely ever to do so.
No horizon
Source: No, Anthropic did not call for a pause on AI development
Assessment: Can’t be checkedSaid
Forecast
“(More likely, they will like always hint at China, and continue rush ahead.)”
Our reading: Anthropic will likely point to China, as it always does, and keep rushing ahead with AI development.
No horizon
Source: No, Anthropic did not call for a pause on AI development
Assessment: Can’t be checkedSaid
Observation
“They *don’t* actually want a pause - at least for now.”
Our reading: Anthropic does not actually want a pause on AI development, at least for now.
No horizon
Qualifier: at least for now
Source: No, Anthropic did not call for a pause on AI development
Assessment: Can’t be checkedSaid
Forecast
“A faster coding tool will probably not end the world.”
Our reading: A faster AI coding tool will probably not end the world.
No horizon
Source: No need to panic about Anthropic’s new blog, and some more good news
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“So we don’t need to panic yet.”
Our reading: There is no need to panic yet about Anthropic's results.
No horizon
Source: No need to panic about Anthropic’s new blog, and some more good news
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“The blog, which shows considerable advances in the ability of their systems to write code, is interesting, and make an argument for slowing down AI research that should be considered.”
Our reading: Anthropic's blog shows considerable coding advances, and its argument for slowing down AI research should be considered.
No horizon
Source: No need to panic about Anthropic’s new blog, and some more good news
Assessment: Can’t be checkedSaid
Observation
“AGI is *harder* than “recursive self improvement” [RSI]”
Our reading: Achieving AGI is harder than achieving recursive self-improvement.
No horizon
Source: No need to panic about Anthropic’s new blog, and some more good news
Assessment: Can’t be checkedSaid
Observation
“Pure deep learning has largely hit a wall; neurosymbolic AI is rescuing it.”
Our reading: Pure deep learning has largely hit a wall, and neurosymbolic AI is rescuing it.
No horizon
Qualifier: largely
Source: No need to panic about Anthropic’s new blog, and some more good news
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“May any such oversight be bipartisan, and in the interest of American citizens, and in the interests of humanity as a whole.”
Our reading: Any preflight-style oversight of AI models like that in President Trump's executive order should be bipartisan and in the interests of American citizens and of humanity as a whole.
No horizon
Scope: any such oversight, meaning the preflight-check oversight described in the executive order
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“Number one on my list was preflight checks, similar to the FDA review for drugs, for models with large commercial impact:”
Our reading: AI models with large commercial impact should be subject to preflight checks similar to FDA review of drugs.
No horizon
Qualifier: for models with large commercial impact
Assessment: Can’t be checkedSaid
Observation
“Timing when all this might fall apart is hard, but the economics don’t make sense, and more and more people are starting to notice.”
Our reading: The economics of AI don't make sense, and more and more people are starting to notice, though it is hard to time when all this might fall apart.
No horizon
Qualifier: timing when all this might fall apart is hard
Assessment: Can’t be checkedSaid
Forecast
“What is most upsetting though, is how retail investors and retirement funds are likely to be taken advantage of in all of this.”
Our reading: Retail investors and retirement funds are likely to be taken advantage of in the AI financing boom.
No horizon
Assessment: Can’t be checkedSaid
Observation
“LLM researchers are NOT creating beings.”
Our reading: LLM researchers are not creating beings.
No horizon
Source: The Pope appears to understand AI better than Geoffrey Hinton does.
Assessment: Can’t be checkedSaid
Observation
“Claude’s outputs are the product of a form of mimicry, rather than as a report of genuine internal states.”
Our reading: Claude's outputs come from a form of mimicry and are not reports of genuine internal states.
No horizon
Source: The Pope appears to understand AI better than Geoffrey Hinton does.
Assessment: Can’t be checkedSaid
Observation
“Consciousness is about internal states; the mimicry, no matter how rich, proves very little.”
Our reading: However rich it is, LLM mimicry of human output proves very little about consciousness, because consciousness is about internal states.
No horizon
Qualifier: no matter how rich the mimicry
Source: The Pope appears to understand AI better than Geoffrey Hinton does.