There Is No AI Revolution
We recorded 25 claims from this post. 1 was checked against evidence. 24 can’t be checked. 7 more are held. Read the post at its source.
Claims from this post (25)
In the order they appear in the post. Each quotation is the speaker’s words in this post. A label such as “Supported” or “Can’t be checked” is the claim’s current assessment; its page has the evidence and the reasons.
Assessment: Can’t be checkedSaid
Observation
“Generative AI lacks the basic unit economics, product-market fit, or market penetration associated with any meaningful software boom, and outside of OpenAI, the industry may be pathetically, hopelessly small, all while providing few meaningful business returns and constantly losing money.”
Our reading: Generative AI lacks the basic unit economics, product-market fit, or market penetration associated with any meaningful software boom, and outside of OpenAI the industry may be pathetically, hopelessly small while providing few meaningful business returns and constantly losing money.
No horizon
Scope: outside of OpenAI
Assessment: Can’t be checkedSaid
Causal claim
“While synthetic data might bridge some of the gap, at least in situations where there’s a definitive right and wrong answer (like a mathematical problem), there are likely diminishing returns due to the sheer amount of data necessary to make a large language model even larger — data amounting to more than four times the size of the internet.”
Our reading: While synthetic data might bridge some of the gap, at least where there is a definitive right or wrong answer, there are likely diminishing returns because of the sheer amount of data needed to make an LLM even larger, which he puts at more than four times the size of the internet.
No horizon
Qualifier: synthetic data might bridge some of the gap
Assessment: Can’t be checkedSaid
Observation
“Even the most successful company in the business appears to have no way to stop burning money — and as I'll explain, there's only one real company in this industry, OpenAI, and it is most decidedly not a real business.”
Our reading: OpenAI, the only real company in generative AI, appears unable to stop burning money and is not a real business.
No horizon
Assessment: Can’t be checkedSaid
Causal claim
“While it's quite common for Silicon Valley companies to play fast and loose with metrics, this particular one is deeply concerning, and I hypothesize that OpenAI choosing to go with Weekly versus Monthly Active Users is an intentional attempt to avoid people calculating the conversion rate of its subscription products.”
Our reading: Zitron hypothesizes OpenAI reports weekly rather than monthly active users intentionally to obscure its subscription conversion rate.
No horizon
Qualifier: hypothesis
Assessment: Can’t be checkedSaid
Observation
“If the biggest player in the space only made a billion dollars in 2024 selling access to its models (unprofitably), and that amount is the minority of its revenue, there may not actually be a real industry here.”
Our reading: Given OpenAI made only about $1B from API access in 2024, the market for implementing LLMs may not be a real industry.
No horizon
Assessment: Can’t be checkedSaid
Forecast
“As a result of doing away with the model picker, I hypothesize that OpenAI will now attempt to moderate costs by picking what model will work best for a prompt — a process it will automate to questionable results.”
Our reading: Zitron hypothesizes that, as a result of doing away with the model picker, OpenAI will try to moderate costs by choosing which model works best for each prompt, an automated process he expects to give questionable results.
No horizon
Qualifier: I hypothesize
Assessment: Can’t be checkedSaid
Rhetoric
“I believe that this announcement is a very bad omen for OpenAI.”
Our reading: The GPT-4.5/GPT-5 roadmap announcement is a very bad omen for OpenAI.
No horizon
Assessment: Can’t be checkedSaid
Conditional forecast
“I do not think this is a real industry, and I believe that if we pulled the plug on the venture capital aspect tomorrow it would evaporate.”
Our reading: Zitron does not think generative AI is a real industry and believes that if the venture capital were pulled tomorrow, it would evaporate.
No horizon
Only if: if we pulled the plug on venture capital tomorrow
Assessment: Can’t be checkedSaid
Observation
“Those developers actually using OpenAI’s APIs in actual commercial projects likely represent a vanishingly small percentage of that three million.”
Our reading: Commercial users likely make up a vanishingly small share of OpenAI's three million developers.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“This company is not worth $60 billion.”
Our reading: Anthropic is not worth its $60 billion valuation.
No horizon
Assessment: Can’t be checkedSaid
Conditional forecast
“Anthropic's business, again like OpenAI, is entirely propped up by venture capital and hyperscaler (Google, Amazon) money, and without it would die almost immediately, because it has only ever lost money.”
Our reading: Without venture capital and hyperscaler funding, Anthropic would die almost immediately because it has only ever lost money.
No horizon
Only if: without venture capital and hyperscaler money
Assessment: Can’t be checkedSaid
Conditional forecast
“The fact of the matter is that if Google and Microsoft can't make generative AI apps with meaningful consumer penetration, this entire industry is screwed.”
Our reading: If Google and Microsoft cannot make generative AI apps with meaningful consumer penetration, the whole industry is screwed.
No horizon
Only if: Google and Microsoft fail to achieve meaningful consumer penetration
Assessment: Can’t be checkedSaid
Observation
“Microsoft's Copilot app isn't just unpopular, it's irrelevant.”
Our reading: Microsoft's Copilot app is unpopular and irrelevant.
No horizon
Assessment: UnresolvedSaid
Forecast
“I must repeat that Microsoft will have spent over $200 billion in capital expenditures by the end of 2025.”
Our reading: By the end of 2025, Microsoft will have spent over $200 billion in capital expenditures since 2023.
Deadline passed Evidence as of
Limitation: This record does not assess Microsoft's capital spending in any particular period.
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“These are also — and I do not believe there are any use cases that justify this — not a counterbalance for the ruinous financial and environmental costs of generative AI.”
Our reading: No generative AI use cases justify its ruinous financial and environmental costs.
No horizon
Assessment: Can’t be checkedSaid
Observation
“When a company uses the term “agent,” they are intentionally trying to be deceitful, because the term “agent” means “autonomous AI that does stuff without you touching it.””
Our reading: When a company uses the term 'agent', it is intentionally trying to be deceitful, because 'agent' means autonomous AI that acts without user involvement.
No horizon
Assessment: Can’t be checkedSaid
Observation
“They are probability machines, which in turn makes them only as reliable as probability can be, and as conscious — no matter how intricate a system may be or how much infrastructure is built — as a pair of dice.”
Our reading: LLMs are probability machines, only as reliable as probability allows and no more conscious than dice regardless of scale.
No horizon
Assessment: Can’t be checkedSaid
Causal claim
“And even then, Google, Amazon and (to an extent Microsoft), the companies making the most investments in AI, do not want to state what that revenue is. I hypothesize the reason that they do not want to disclose it is that it’s pretty god damn small.”
Our reading: Zitron hypothesizes that Google, Amazon and, to an extent, Microsoft do not want to disclose their AI revenue because it is very small.
No horizon
Qualifier: I hypothesize
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“It isn’t working. The users aren’t there. The revenue isn’t there. The best time to stop this was two years ago, and the next best time is as soon as humanly possible.”
Our reading: Generative AI lacks users and revenue, and the buildout should be stopped as soon as possible.
No horizon
Assessment: Can’t be checkedSaid
Rhetoric
“I have said that generative AI is a group delusion in the past, and I repeat that claim today.”
Our reading: Generative AI is a group delusion.
No horizon
Assessment: Can’t be checkedSaid
Forecast
“What you are watching is not a revolution, but a repetitious public relations campaign for one company that accidentally timed the launch of ChatGPT with a period of deep desperation in big tech, one so profound that it will likely drag half a trillion dollars’ worth of capital expenditures along with it.”
Our reading: What is happening is not a revolution but a repetitive PR campaign for one company that accidentally timed ChatGPT's launch with a period of deep desperation in big tech, so profound that it will likely drag half a trillion dollars of capital expenditures along with it.
No horizon
Assessment: Can’t be checkedSaid
Forecast
“No amount of beating off about test-time compute and connecting Large Language Models to other Large Language Models is going to create a new use case for this technology, and even if it did, it’s unlikely that it ever makes enough money to make it profitable.”
Our reading: Test-time compute and chaining LLMs will not create new use cases, and even if they did, the technology is unlikely ever to be profitable.
No horizon
Assessment: Can’t be checkedSaid
Conditional forecast
“This bubble will only burst when either the markets or the hyperscalers accept that they have chased their own tails toward oblivion.”
Our reading: The AI bubble will only burst when the markets or the hyperscalers accept that they have chased their own tails toward oblivion.
No horizon
Only if: markets or hyperscalers accept they have chased their own tails toward oblivion
Assessment: Can’t be checkedSaid
Forecast
“The financials are truly damning, the user numbers so small as to be insignificant, the costs so ruinous that they will likely cost tens of thousands of people their jobs and one of the hyperscalers CEOs their job (although, admittedly, I’m less upset about that), and inflict damage on tech valuations that may rival the dot com boom.”
Our reading: Generative AI costs will likely cost tens of thousands of jobs and one hyperscaler CEO's job, and may damage tech valuations on a dot-com scale.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“It is time to stop humouring OpenAI, and time to start directly stating that it is a bad business without a meaningful product.”
Our reading: People should stop humouring OpenAI and state it is a bad business without a meaningful product.
No horizon
Held from this post (7)
These records did not pass every check, so nothing about them is published. Held is not a finding.