Claims that can’t be checked, page 15 of 37
Claims by Gary Marcus and Ed Zitron. Deadlines are judged as of 2026-10-29.
Claims that can’t be checked (3643)
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 15 of 37: claims 1401 to 1500 of 3643, ordered by the date first said, newest first. To find a claim by its words, use search.
Assessment: Can’t be checkedSaid
Gary Marcus Observation
“That rumor is bullshit.”
Our reading: The rumor that LLMs are basically just like humans is false.
No horizon
Assessment: Can’t be checkedSaid
Gary Marcus Forecast
“GPT-5 is unlikely to be ahead of the pack for more than a couple months.”
Our reading: GPT-5 is unlikely to remain ahead of competing models for more than a couple of months.
No horizon
Source: GPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it.
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“Certainly, in a rational world, their valuation would take a hit.”
Our reading: In a rational world, OpenAI's valuation would certainly take a hit.
No horizon
Qualifier: in a rational world
Source: GPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it.
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“By rights, Altman’s reputation should by now be completely burned.”
Our reading: Sam Altman's reputation should by now be completely burned given his AGI claims.
No horizon
Source: GPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it.
Assessment: Can’t be checkedSaid
Gary Marcus Rhetoric
“In hindsight, that was all bullshit.”
Our reading: In hindsight, Altman's statements (his joke that AGI had been achieved internally, his claim that OpenAI knows how to build AGI, and his claim that talking to GPT-5 is like talking to a PhD-level expert) were all bullshit.
No horizon
Qualifier: in hindsight
Source: GPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it.
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“After half a trillion dollars in that direction, it is obviously time to move on. The disappointing performance of GPT-5 should make that enormously clear.”
Our reading: After half a trillion dollars spent on scaling, the field should move on from the pure-scaling hypothesis.
No horizon
Source: GPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it.
Assessment: Can’t be checkedSaid
Gary Marcus Causal claim
“And the worst part? Altman brought it all on himself. Had he not kept hinting at the moon, people might have been fine with just another incremental update.”
Our reading: Altman's overhyping caused the GPT-5 backlash; without it people might have accepted an incremental update.
No horizon
Source: GPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it.
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“All I am saying is give neurosymbolic AI with explicit world models a chance.”
Our reading: The field should give neurosymbolic AI with explicit world models a chance.
No horizon
Source: GPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it.
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“For all that, GPT-5 is not a terrible model.”
Our reading: GPT-5 is not a terrible model.
No horizon
Source: GPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it.
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“Nobody with intellectual integrity should still believe that pure scaling will get us to AGI.”
Our reading: No intellectually honest person should still believe pure scaling will reach AGI.
No horizon
Source: GPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it.
Assessment: Can’t be checkedSaid
Gary Marcus Rhetoric
“We have been fed a steady diet of bullshit for the last several years.”
Our reading: Over the last several years, we have been fed a steady diet of bullshit about AI.
No horizon
Source: GPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it.
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“He may not even be the right CEO for OpenAI anymore:”
Our reading: Sam Altman may no longer be the right CEO for OpenAI.
No horizon
Source: GPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it.
Assessment: Can’t be checkedSaid
Gary Marcus Observation
“People are wising up that LLMs are not in fact AGI-adjacent.”
Our reading: LLMs are not close to AGI, and people are increasingly realizing this.
No horizon
Source: GPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it.
Assessment: Can’t be checkedSaid
Gary Marcus Forecast
“Pricing is good, but profits may continue to be elusive; still no clear technical moat.”
Our reading: Although GPT-5 pricing is good, OpenAI's profits may continue to be elusive.
No horizon
Source: GPT-5 hot take
Assessment: Can’t be checkedSaid
Gary Marcus Forecast
““AGI 2027” seems more and more remote by the day.”
Our reading: AGI arriving by 2027 looks increasingly unlikely.
No horizon
Source: GPT-5 hot take
Assessment: Can’t be checkedSaid
Gary Marcus Causal claim
“Gary Marcus thinks that perhaps scaling is not in fact all you need.”
Our reading: Gary Marcus thinks that perhaps scaling is not in fact all you need.
No horizon
Qualifier: perhaps
Source: GPT-5 hot take
Assessment: Can’t be checkedSaid
Ed Zitron Observation
“Outside of ChatGPT, there’s really no proof that these products are anything remotely essential, and I argue there’s very little about ChatGPT that Microsoft couldn’t provide with rate limits via Copilot.”
Our reading: Outside of ChatGPT there is really no proof that generative AI products are remotely essential, and he argues there is very little about ChatGPT that Microsoft could not provide, with rate limits, through Copilot.
No horizon
Scope: outside of ChatGPT
Source: AI Is A Money Trap
Assessment: Can’t be checkedSaid
Ed Zitron Observation
“It must go public, because at a valuation of $300 billion, OpenAI can no longer be acquired, because nobody has that much money and, if let’s be real, nobody actually believes OpenAI is worth that much.”
Our reading: At a $300B valuation OpenAI cannot be acquired and must go public; nobody truly believes it's worth that much.
No horizon
Source: AI Is A Money Trap
Assessment: Can’t be checkedSaid
Ed Zitron Causal claim
“OpenAI doesn’t break out the actual revenues behind these numbers for a reason, and I believe that reason is “they don’t look as good.””
Our reading: He believes OpenAI does not break out the actual revenues behind its numbers because they do not look as good.
No horizon
Qualifier: I believe
Source: AI Is A Money Trap
Assessment: Can’t be checkedSaid
Ed Zitron Causal claim
“In fact, generative AI is turning out to be a fever dream entirely made up by big tech. OpenAI would be dead if it wasn’t for the massive infrastructure provided by Microsoft at-cost in return for rights to its IP, research, and the ability to sell its models on top of the tens of billions of dollars of venture capital thrown into its billion-dollar cash incinerator.”
Our reading: OpenAI would be dead without Microsoft's at-cost infrastructure and massive venture funding.
No horizon
Source: AI Is A Money Trap
Assessment: Can’t be checkedSaid
Ed Zitron Forecast
“To be clear, OpenAI, by my estimates, has only made around $5.26 billion this year (and will have trouble hitting its $12.7 billion revenue projection for 2025), and will likely lose more than $10 billion to do so.”
Our reading: OpenAI will likely lose more than $10 billion in 2025.
No horizon
Source: AI Is A Money Trap
Assessment: Can’t be checkedSaid
Ed Zitron Rhetoric
“It feels as if everything is aligning for disaster, and I fear there’s nothing that can be done to avert it.”
Our reading: It feels to him as if everything is aligning for disaster, and he fears nothing can be done to avert it.
No horizon
Qualifier: it feels as if
Source: AI Is A Money Trap
Assessment: Can’t be checkedSaid
Ed Zitron Forecast
“I don’t think this happens! I think this is a silly idea, and the most likely situation would be that Microsoft would unhinge its jaw and swallow OpenAI and its customers whole.”
Our reading: He does not think a government bailout of OpenAI will happen and calls the idea silly; he says the most likely situation is that Microsoft would swallow OpenAI and its customers whole.
No horizon
Qualifier: I don't think this happens
Source: AI Is A Money Trap
Assessment: Can’t be checkedSaid
Ed Zitron Observation
“I’m not saying these companies are unnecessary, so much as they may very well be impossible to run as real businesses.”
Our reading: Generative AI companies may be impossible to run as real businesses.
No horizon
Source: AI Is A Money Trap
Assessment: Can’t be checkedSaid
Ed Zitron Observation
“And, like homeowners in the dismal years of 2008 and 2009, they’re almost certainly underwater — they just haven’t realized it yet.”
Our reading: VCs invested in unprofitable generative AI startups are almost certainly underwater on those investments.
No horizon
Source: AI Is A Money Trap
Assessment: Can’t be checkedSaid
Ed Zitron Observation
“If OpenAI is making a billion dollars a month, it is possibly losing that much (or more) after revenue, and that’s the money it can get selling the product in a form that can never turn profitable.”
Our reading: If OpenAI is making a billion dollars a month, it is possibly losing that much or more after revenue, and that revenue comes from selling the product in a form that can never turn profitable.
No horizon
Qualifier: if OpenAI is making a billion dollars a month
Source: AI Is A Money Trap
Assessment: Can’t be checkedSaid
Ed Zitron Causal claim
“This isn’t anything like any boom that leads to something, and it’s because the economics do not make sense.”
Our reading: The generative AI boom is unlike booms that lead to something because its economics don't make sense.
No horizon
Source: AI Is A Money Trap
Assessment: Can’t be checkedSaid
Ed Zitron Causal claim
“Anthropic would be dead if both Google and Amazon — the latter of which provides much of its infrastructure — hadn’t invested billions in keeping it alive so that it can burn $3 billion or more in 2025 while fucking over its enterprise customers and rate limiting the rest.”
Our reading: Anthropic would be dead if Google and Amazon had not invested billions to keep it alive, investment that lets it burn $3 billion or more in 2025 while mistreating its enterprise customers and rate-limiting the rest.
No horizon
Source: AI Is A Money Trap
Assessment: Can’t be checkedSaid
Ed Zitron Observation
“The unit economics of this business do not make sense and yet, on some level, its existence is deeply important to the valley’s future.”
Our reading: Cursor's unit economics do not make sense, yet its existence is important to Silicon Valley's future.
No horizon
Source: AI Is A Money Trap
Assessment: Can’t be checkedSaid
Ed Zitron Observation
“The generative AI industry is, at its core, unnatural. It does not make significant revenue compared to its unbelievable costs, nor does it have much revenue potential.”
Our reading: The generative AI industry makes little revenue relative to its costs and has little revenue potential.
No horizon
Source: AI Is A Money Trap
Assessment: Can’t be checkedSaid
Ed Zitron Causal claim
“But I’ve been dancing around the real reason they won’t sell: because, fundamentally, generative AI does not let companies build something new.”
Our reading: Generative AI startups won't sell because generative AI fundamentally doesn't let companies build anything new.
No horizon
Source: AI Is A Money Trap
Assessment: Can’t be checkedSaid
Ed Zitron Recommendation or value judgment
“Is Cursor worth $10 billion? Nope! No matter how good its product may or may not be, it is not good enough to be sold at a price that doesn’t require Cursor to incinerate hundreds of millions of dollars with no end in sight.”
Our reading: Cursor is not worth $10 billion, because however good its product is, it is not good enough to sell at a price that would spare Cursor from burning hundreds of millions of dollars with no end in sight.
No horizon
Qualifier: no matter how good its product may or may not be
Source: AI Is A Money Trap
Assessment: Can’t be checkedSaid
Ed Zitron Conditional forecast
“The revenue you see today is what people are willing to pay for a product that loses money, and I cannot imagine they would pay as much if the companies in question charged their costs.”
Our reading: He cannot imagine customers paying as much as they do today if AI companies charged them their actual costs.
No horizon
Only if: if the companies charged their costs
Source: AI Is A Money Trap
Assessment: Can’t be checkedSaid
Ed Zitron Recommendation or value judgment
“And now they're in "early-stage discussions" about an employee share sale that would value the company at $500 billion, a ludicrous number that shows we're leaving the realm of reality.”
Our reading: The $500 billion valuation implied by OpenAI's reported employee share sale discussions is a ludicrous number that shows we are leaving the realm of reality.
No horizon
Source: AI Is A Money Trap
Assessment: Can’t be checkedSaid
Ed Zitron Conditional forecast
“Private equity may ultimately face the same problem as many AI startups: there is no clear exit strategy for these investments. In the absence of real liquidity, firms will likely resort to all manner of financial engineering (read: bullshit) —marking up portfolio companies using internally generated valuations, charging fees on those inflated marks, and using those marks to entice new commitments from limited partners.”
Our reading: Private equity may ultimately face the same lack of a clear exit strategy as many AI startups, and in the absence of real liquidity, firms will likely resort to financial engineering such as marking up portfolio companies with internal valuations, charging fees on those marks, and using them to attract new commitments from limited partners.
No horizon
Only if: in the absence of real liquidity
Source: AI Is A Money Trap
Assessment: Can’t be checkedSaid
Ed Zitron Observation
“I know it sounds a little insane, but I believe that Cursor is the weak point of the entire AI bubble, and I’ll explain why, and how this could go.”
Our reading: He believes Cursor is the weak point of the entire AI bubble.
No horizon
Qualifier: I believe
Source: AI Is A Money Trap
Assessment: Can’t be checkedSaid
Gary Marcus Forecast
“Cesspools of automatically-generated fake websites, rather than ChatGPT search, may ultimately come to be the single biggest threat that Google ever faces. After all, if users are left sifting through sewers full of useless misinformation, the value of search would go to zero—potentially killing the company.”
Our reading: Cesspools of automatically-generated fake websites, rather than ChatGPT search, may ultimately become the single biggest threat Google ever faces, because if users are left sifting through sewers of useless misinformation the value of search would go to zero, potentially killing the company.
No horizon
Scope: rather than ChatGPT search
Source: Slopocalypse Now
Assessment: Can’t be checkedSaid
Gary Marcus Observation
“Current systems can mimic the kinds of words people use in completing tasks, often in contextually relevant ways, but that doesn’t really mean that they understand the things that they are doing; they have no concept of what it means to delete a database or make up a fictitious calendar entry.”
Our reading: Current AI systems do not understand what they are doing and have no concept of actions like deleting a database.
No horizon
Assessment: Can’t be checkedSaid
Gary Marcus Observation
“What drives LLMs (and what drives the current batch of agents) is mimicry, and not what Ernest Davis and I called in 2019 deep understanding.”
Our reading: LLMs and current agents are driven by mimicry rather than deep understanding.
No horizon
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“An important, publicly-visible system that can be beat in .001% of the times it is attacked is a mess.)”
Our reading: An important, publicly visible system that can be beaten in .001% of the times it is attacked is a mess.
No horizon
Scope: important, publicly-visible system
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“Venture capitalists style themselves as brave funders of innovation, but in the current climate, they are anything but.”
Our reading: Venture capitalists style themselves as brave funders of innovation, but in the current climate they are anything but brave funders of innovation.
No horizon
Qualifier: in the current climate
Assessment: Can’t be checkedSaid
Gary Marcus Forecast
“(In fairness, ChatGPT agent wasn’t yet out when Penrose ran the test, but I would be surprised if their results were wildly different).”
Our reading: ChatGPT agent is unlikely to produce wildly different results on Penrose's account-balance benchmark.
No horizon
Assessment: Can’t be checkedSaid
Gary Marcus Forecast
“But I seriously doubt that LLMs will ever yield the substrate we need.”
Our reading: LLMs are unlikely ever to provide the substrate needed for working AI agents.
No horizon
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“In a rational world, generative AI would be penalized for failing to meet expectations around agents; in the actual world, investors and big tech companies are continuing to pour on the gas.”
Our reading: Generative AI should be penalized for failing to meet agent expectations, yet investors and big tech keep increasing investment.
No horizon
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“Perhaps after enough failures of AI agents, which shouldn’t be trusted with your calendar let alone your credit cards, reality may finally start settle in.”
Our reading: AI agents should not be trusted with your calendar, let alone your credit cards.
No horizon
Assessment: Can’t be checkedSaid
Gary Marcus Conditional forecast
“Perhaps after enough failures of AI agents, which shouldn’t be trusted with your calendar let alone your credit cards, reality may finally start settle in.”
Our reading: Perhaps, after enough failures of AI agents, reality may finally start to settle in.
No horizon
Only if: after enough failures of AI agents
Assessment: Can’t be checkedSaid
Gary Marcus Forecast
“the “demo to reality” issue they mention is exactly what we should expect — probably for a years to come:”
Our reading: The gap between AI agent demos and real-world performance will probably persist for years to come.
No horizon
Qualifier: probably
Assessment: Can’t be checkedSaid
Gary Marcus Forecast
“found a result that I suspect will be typical: AI errors tend to compound over time.”
Our reading: He suspects it will be typical that AI agent errors compound over time, as in Penrose's account-balance benchmark.
No horizon
Qualifier: I suspect
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“Yet more good money is being poured after bad. Staggeringly large amounts of money.”
Our reading: Yet more good money, in staggeringly large amounts, is being poured after bad into generative AI.
No horizon
Assessment: Can’t be checkedSaid
Gary Marcus Observation
“The “pushing the boundaries of what’s possible” that Roose promised us? Largely absent.”
Our reading: AI agents in 2025 have largely not delivered the boundary-pushing capabilities that Kevin Roose promised.
No horizon
Assessment: Can’t be checkedSaid
Gary Marcus Forecast
“Someday, I predict, the failure of current agents to produce much of lasting value will be seen as a poignant reflection of a massive mistake, intellectually and economically speaking: the mistake of investing almost solely in LLMs, as a kind of hopeful shortcut.”
Our reading: Someday, current agents' failure to produce much of lasting value will be seen as a poignant reflection of a massive intellectual and economic mistake: investing almost solely in LLMs as a kind of hopeful shortcut.
No horizon
Qualifier: someday
Assessment: Can’t be checkedSaid
Gary Marcus Conditional forecast
“When AGI (artificial intelligence) comes, large language models like GPT-5 may be seen in hindsight as part of the eventual solution, but only as part of the solution.”
Our reading: When AGI comes, large language models like GPT-5 may be seen in hindsight as part of the eventual solution, but only as part of it.
No horizon
Only if: when AGI comes
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“If all seven predictions prove correct, I hope that the field will finally realize that it is time to move on.”
Our reading: If his seven predictions prove correct, the AI field should move on from the LLM approach.
No horizon
Qualifier: if all seven predictions prove correct
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“Absent any information of that kind, there is little reason to take on faith that whatever unknown techniques allowed them to do so well on IMO problems will generalize to any other kind of problem.”
Our reading: Absent disclosure, there is little reason to assume the techniques behind the IMO results will generalize to other kinds of problems.
No horizon
Qualifier: absent information explaining why they work
Source: DeepMind and OpenAI achieve IMO Gold. What does it all mean?
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“Without question, these are impressive accomplishments.”
Our reading: The results from OpenAI and DeepMind, whose AI systems reached gold-medal level at the IMO, are without question impressive accomplishments.
No horizon
Qualifier: without question
Source: DeepMind and OpenAI achieve IMO Gold. What does it all mean?
Assessment: Can’t be checkedSaid
Gary Marcus Observation
“The specific skills tested by IMO problems are sometimes useful in pursuing original mathematics, but they are far from the most important skills in original math research.”
Our reading: The specific skills tested by IMO problems are sometimes useful in pursuing original mathematics, but they are far from the most important skills in original math research.
No horizon
Qualifier: sometimes useful in pursuing original mathematics
Source: DeepMind and OpenAI achieve IMO Gold. What does it all mean?
Assessment: Can’t be checkedSaid
Gary Marcus Rhetoric
“Overall, the new work certainly might be exciting. Until outside scientists get to dig for a serious review we won’t really know for sure what it all means.”
Our reading: The new work certainly might be exciting, but we won't really know for sure what it all means until outside scientists get to do a serious review.
No horizon
Qualifier: until outside scientists get to dig for a serious review
Source: DeepMind and OpenAI achieve IMO Gold. What does it all mean?
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“That’s simply preposterous. Being part of a 45-way tie for 27th place in a math contest for elite high school students is really not the kind of historic event that the moon landing was.”
Our reading: Bubeck's suggestion that the result may end up looking like a moon-landing moment for AI is simply preposterous, because being part of a 45-way tie for 27th place in a math contest for elite high school students is really not the kind of historic event the moon landing was.
No horizon
Scope: responding to Bubeck's remark that it 'may end up looking like a moon-landing moment'
Source: DeepMind and OpenAI achieve IMO Gold. What does it all mean?
Assessment: Can’t be checkedSaid
Gary Marcus Observation
“Our point is just that the scratchy style is completely atypical of LLMs and suggests strongly that OpenAI-IMO is not simply a standard LLM, whatever it is.”
Our reading: OpenAI-IMO's atypical scratchy proof style strongly suggests it is not simply a standard LLM.
No horizon
Source: DeepMind and OpenAI achieve IMO Gold. What does it all mean?
Assessment: Can’t be checkedSaid
Gary Marcus Observation
“This difference may reflect a limit in the OpenAI-IMO’s understanding. It certainly suggests that OpenAI-IMO would not make a very effective expositor of mathematical results.”
Our reading: The difference in OpenAI-IMO's answers (longer, algebraic, less well structured) may reflect a limit in its understanding, and certainly suggests that OpenAI-IMO would not make a very effective expositor of mathematical results.
No horizon
Qualifier: may reflect
Source: DeepMind and OpenAI achieve IMO Gold. What does it all mean?
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“Awfully impressive. To be able to solve math problems at the level of the top 67 high school students in the world is to have really good math problem solving chops.”
Our reading: IMO gold-medal performance by an AI is awfully impressive, because solving math problems at the level of the world's top 67 high school students means having really good math problem-solving chops.
No horizon
Scope: at the level of the top 67 high school students in the world
Source: DeepMind and OpenAI achieve IMO Gold. What does it all mean?
Assessment: Can’t be checkedSaid
Gary Marcus Rhetoric
“That said, some of the hype has reached completely absurd levels.”
Our reading: Some of the hype around the AI IMO gold results has reached completely absurd levels.
No horizon
Source: DeepMind and OpenAI achieve IMO Gold. What does it all mean?
Assessment: Can’t be checkedSaid
Ed Zitron Conditional forecast
“the most important company in the entire AI industry needs to convert by the end of the year or it's effectively dead”
Our reading: If OpenAI does not convert to a for-profit structure by the end of 2025, it will be effectively dead.
Deadline passed Evidence as of
Only if: OpenAI does not convert by the end of the year (2025)
Assessment: Can’t be checkedSaid
Ed Zitron Observation
“These are the single-most-popular consumer software subscriptions in the world — and OpenAI's 15.5 million subscribers suggest that it can't rely on them for the kind of growth that would actually make the company worth $300 billion (or more).”
Our reading: OpenAI's 15.5 million subscribers suggest it can't rely on them for the kind of growth that would make the company worth $300 billion or more.
No horizon
Qualifier: suggest
Assessment: Can’t be checkedSaid
Ed Zitron Causal claim
“Large Language Models authoritatively state things that are incorrect because they have no concept of right or wrong.”
Our reading: LLMs confidently state incorrect things because they have no concept of right or wrong.
No horizon
Assessment: Can’t be checkedSaid
Ed Zitron Rhetoric
“The term "agent" is one of the most egregious acts of fraud I've seen in my entire career writing about this crap, and that includes the metaverse.”
Our reading: Calling AI products "agents" is one of the most egregious frauds the author has seen.
No horizon
Assessment: Can’t be checkedSaid
Ed Zitron Observation
“The money isn't there, the users aren't there, every company seems to lose money and some companies lose so much money that it's impossible to tell how they'll survive.”
Our reading: Generative AI lacks money and users, every company appears to lose money, and some lose so much that their survival is in doubt.
No horizon
Assessment: Can’t be checkedSaid
Ed Zitron Observation
“To be abundantly clear, the manipulative suggestion here is that these models are autonomous or conscious in some way, which they are not.”
Our reading: AI models are not autonomous or conscious; stories about them scheming are deceptive.
No horizon
Assessment: Can’t be checkedSaid
Ed Zitron Causal claim
“As a result, it's very, very difficult for a company to build something unique.”
Our reading: Because all generative AI companies rely on LLMs with inherent limits, it is very hard for any of them to build something unique.
No horizon
Qualifier: because they all rely on LLMs with inherent limits
Assessment: Can’t be checkedSaid
Ed Zitron Observation
“In any case, it doesn't seem like you can really build a consumer AI startup that makes anything approaching a real company.”
Our reading: Apart from ChatGPT, it does not seem possible to build a consumer AI startup that becomes anything like a real company.
No horizon
Qualifier: other than ChatGPT
Assessment: Can’t be checkedSaid
Ed Zitron Observation
“In short, I believe the AI bubble is deeply unstable, built on vibes and blind faith, and when I say "the AI bubble," I mean the entirety of the AI trade.”
Our reading: The AI bubble, meaning the whole AI trade, is deeply unstable and built on vibes and blind faith.
No horizon
Assessment: Can’t be checkedSaid
Ed Zitron Observation
“Any and all stories about AI replacing jobs are intentionally manipulative attempts to boost stock valuations and suggest that models are capable of replacing human workers at scale.”
Our reading: Stories about AI replacing jobs are deliberately manipulative attempts to boost stock valuations; models cannot replace human workers at scale.
No horizon
Assessment: Can’t be checkedSaid
Ed Zitron Observation
“Yet after that, generative AI feels more like a feature of cloud infrastructure rather than infrastructure itself.”
Our reading: Generative AI feels more like a feature of cloud infrastructure than infrastructure itself.
No horizon
Qualifier: feels more like
Assessment: Can’t be checkedSaid
Ed Zitron Forecast
“Cursor misled its customers, and its current revenue is, as a result, highly unlikely to stay at this level.”
Our reading: Cursor misled customers, and its current revenue is highly unlikely to stay at its current level.
No horizon
Assessment: Can’t be checkedSaid
Ed Zitron Recommendation or value judgment
“Sam Altman, Dario Amodei, Satya Nadella, Sundar Pichai, Tim Cook, Elon Musk, Mark Zuckerberg and Andy Jassy have overseen a needless, wasteful and destructive economic force that will harm our markets (and by a larger extension our economy) and the tech industry writ large, and when this is over, they must be held accountable.”
Our reading: Once the AI bubble is over, the tech CEOs who drove it must be held accountable.
No horizon
Qualifier: when this is over
Assessment: Can’t be checkedSaid
Ed Zitron Forecast
“There is a shareholder vote for Tesla to potentially invest in xAI, which will probably happen, allowing Musk to continue to pull leverage from his Tesla stock until the company's decaying sales and brand eventually swallow him whole.”
Our reading: Tesla investing in xAI via a shareholder vote will probably happen.
No horizon
Qualifier: pending shareholder vote
Assessment: Can’t be checkedSaid
Ed Zitron Observation
“Nevertheless, none of these products are autonomous agents, and anybody using the term agent likely means "chatbot."”
Our reading: None of the 'agent' products he discussed (such as Salesforce Agentforce, ChatGPT agent, Glean, ServiceNow and coding agents) are autonomous agents, and anybody using the term 'agent' likely means 'chatbot'.
No horizon
Scope: these products (those discussed)
Assessment: Can’t be checkedSaid
Ed Zitron Conditional forecast
“Perception matters just as much as actual numbers, and sometimes more, and a shift in sentiment could start a chain of events that knocks down the entire house of cards.”
Our reading: A shift in sentiment about NVIDIA could set off a chain of events that brings down the whole AI trade.
No horizon
Only if: a shift in sentiment around NVIDIA
Assessment: Can’t be checkedSaid
Ed Zitron Observation
“My Rot-Com Bubble thesis suggests we're out of hypergrowth ideas, and yeah, I think we're out of ideas related to Large Language Models too.”
Our reading: He thinks the tech industry is out of ideas related to Large Language Models, and his Rot-Com Bubble thesis suggests it is out of hypergrowth ideas generally.
No horizon
Qualifier: my thesis suggests
Assessment: Can’t be checkedSaid
Ed Zitron Observation
“Businesses powered by generative AI do not seem to be popular.”
Our reading: Businesses powered by generative AI do not appear to be popular.
No horizon
Assessment: Can’t be checkedSaid
Ed Zitron Observation
“In any case, every single company you see using the word agent is trying to mislead you.”
Our reading: Every company that uses the word "agent" is trying to mislead you.
No horizon
Assessment: Can’t be checkedSaid
Ed Zitron Causal claim
“Large Language Models are too expensive to run, and have limited abilities beyond the ones I've named previously, and because everybody is running models that all, on some level, do the same thing, it's very hard for people to build really innovative products on top of them.”
Our reading: LLMs are too expensive to run and have limited abilities beyond those he named, and because everybody is running models that all, on some level, do the same thing, it is very hard to build really innovative products on top of them.
No horizon
Qualifier: on some level
Assessment: Can’t be checkedSaid
Ed Zitron Forecast
“Google's $1.1 billion in workspace service revenue came from a forced price-hike on those who use Google services to run their businesses, meaning that this is likely not a number that can significantly increase without punishing them further.”
Our reading: Google's $1.1 billion Workspace AI revenue came from a forced price hike and probably cannot grow much without further punishing customers.
No horizon
Qualifier: without punishing business customers further
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“We need serious regulation to prevent AI’s from running amok. Voluntary agreements between companies are not going to cut it.”
Our reading: Serious AI regulation is needed because voluntary company agreements will not suffice.
No horizon
Assessment: Can’t be checkedSaid
Gary Marcus Observation
“What crystallized for me over the last few days is that we have such a person.”
Our reading: Marcus says it became clear to him over the last few days that Elon Musk is a person who matches his list of things one might need to really screw up the planet.
No horizon
Qualifier: you might need something like the following
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“Forcing unreliable AI everywhere in the decision-making chain is not necessarily something we should want.”
Our reading: We should be wary of forcing unreliable AI throughout decision-making chains.
No horizon
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“Maybe someone will come to their senses and stop putting LLMs into military systems.”
Our reading: LLMs should not be put into military systems.
No horizon
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“It is genuinely scary that Elon Musk went from being one of the first industry leaders warning about AI risks to being the most reckless of the AI leaders.”
Our reading: It is genuinely scary that Elon Musk went from being one of the first industry leaders to warn about AI risks to being the most reckless of the AI leaders.
No horizon
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“Way out of line is right.”
Our reading: Marcus agrees with Samuel Marks's thread that xAI's conduct in releasing Grok 4 without following the industry's safety conventions was way out of line.
No horizon
Assessment: Can’t be checkedSaid
Gary Marcus Forecast
“And industry-standard measures are unlikely to be enough, in any event.”
Our reading: Industry-standard AI safety measures are unlikely to be sufficient.
No horizon
Assessment: Can’t be checkedSaid
Gary Marcus Forecast
“I am at maybe 3% now, much higher than a month ago, contemplating what a wealthy, reckless megalomaniac might in the worst circumstances do, But I am still betting on Team Human for the foreseeable future.”
Our reading: Marcus puts the probability of AI-caused doom at about 3%, up sharply from a month earlier, while still betting humans prevail for the foreseeable future.
No horizon
Assessment: Can’t be checkedSaid
Gary Marcus Forecast
“ButI have seen enough to realize that there is a real risk, especially in the current anti-regulatory regime, that some exceptionally powerful person, Elon or otherwise, unconstrained in conventional ways, with a reckless disregard for humanity, could accidentally launch and spread an AI that deliberately or otherwise causes “significant harm to the world”.”
Our reading: There is a real risk, especially under the current anti-regulatory regime, that some exceptionally powerful person (Elon or someone else), unconstrained in conventional ways and recklessly disregarding humanity, could accidentally launch and spread an AI that, deliberately or otherwise, causes 'significant harm to the world'.
No horizon
Qualifier: especially in the current anti-regulatory regime
Assessment: Can’t be checkedSaid
Gary Marcus Forecast
“But even so, I think most scenarios (e.g., people homebrewing biological weapons) could eventually be stopped, perhaps causing a lot of damage but coming nowhere near to literally extinguishing humanity.”
Our reading: Most AI misuse scenarios by bad actors could eventually be stopped, perhaps causing much damage but not extinguishing humanity.
No horizon
Qualifier: most scenarios
Assessment: Can’t be checkedSaid
Gary Marcus Conditional forecast
“Absent systems cognitively rich enough to represent and reason about moral principles, I don’t how this can ever work.”
Our reading: Marcus does not see how building alignment through training data alone can ever work unless systems are cognitively rich enough to represent and reason about moral principles.
No horizon
Only if: absent systems cognitively rich enough to represent and reason about moral principles
Assessment: Can’t be checkedSaid
Gary Marcus Observation
“Part of my reasoning then was that actual malice on the part of AI was unlikely, at least any time soon.”
Our reading: As of May 2025, Marcus believed actual malice on the part of AI was unlikely any time soon.
No horizon
Qualifier: his reasoning as of May 2025
Assessment: Can’t be checkedSaid
Gary Marcus Observation
“Worse, it is clear, even from Elon’s own posts on X, that the company is in over its head.”
Our reading: xAI is in over its head.
No horizon
Assessment: Can’t be checkedSaid
Gary Marcus Observation
“The fact that xAI can’t get its house together in even basic ways is disturbing.”
Our reading: xAI cannot get its house in order even in basic ways.
No horizon
Assessment: Can’t be checkedSaid
Gary Marcus Recommendation or value judgment
“We need liability, auditing, standards of malpractice, international treaties, too.”
Our reading: AI requires liability, auditing, malpractice standards, and international treaties.
No horizon
Assessment: Can’t be checkedSaid
Gary Marcus Forecast
“Drones and even nuclear weapons may eventually be under LLM command.”
Our reading: Drones and even nuclear weapons may eventually be placed under LLM command.
No horizon
Assessment: Can’t be checkedSaid
Gary Marcus Forecast
“Getting to AGI will likely take still more breakthroughs.”
Our reading: Reaching AGI will likely require further breakthroughs.
No horizon
Source: How o3 and Grok 4 Accidentally Vindicated Neurosymbolic AI