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

Ed Zitron Where's Your Ed At Published

On NVIDIA and Analyslop

We recorded 18 claims from this post. 12 were checked against evidence. 6 can’t be checked. 12 more are held. Read the post at its source.

Claims from this post (18)

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.

  1. Assessment: UnresolvedSaid

    “As I wrote about last year, NVIDIA’s diversified revenue — that’s the revenue that comes from companies that aren’t in the magnificent 7 — continues to collapse.”

    What we tested: NVIDIA's revenue from companies outside the Magnificent 7 continues to collapse.

  2. Assessment: SupportedSaid

    “It is both peculiar and worrying that 36% (around $77.7 billion) of its $215.938 billion in FY2026 revenue came from two customers.”

    What we tested: About 36% of NVIDIA's FY2026 revenue came from two customers, which is peculiar and worrying.

    What happened: The following direct-customer disclosure reports shares of 22% and 14%. Applied to reported annual revenue of $215.938 billion, these imply approximately $77.7 billion. (NVIDIA, )

  3. Assessment: Can’t be checkedSaid

    “CoreWeave is arguably the largest AI compute vendor outside of the hyperscalers. If there was significant demand, none of this would be necessary.”

    What we tested: NVIDIA's $27 billion in cloud agreements renting back its GPUs would be unnecessary if there were significant demand for AI compute, implying demand is weak.

  4. Assessment: Can’t be checkedSaid

    “If anything changes here — such as difficulty acquiring debt or investor pressure cutting capex — NVIDIA is in real trouble, as it’s made over $95 billion in commitments to build out for the AI bubble.”

    What we tested: If anything changes in hyperscalers' pattern of ever-growing GPU purchases, such as difficulty acquiring debt or investor pressure cutting capex, NVIDIA is in real trouble because it has made over $95 billion in commitments to build out for the AI bubble.

  5. Assessment: UnresolvedSaid

    “After misleading everybody that it intended to invest $100 billion in OpenAI last year (as I warned everybody about months ago, the deal never existed and is now effectively dead), NVIDIA was allegedly “close” to investing $30 billion.”

    What we tested: NVIDIA's announced $100 billion investment in OpenAI never really existed, was misleading, and is now effectively dead.

  6. Assessment: UnresolvedSaid

    “This is turning into a very involved and convoluted process! It turns out that it's pretty difficult to actually raise $100 billion.”

    What we tested: OpenAI's $100 billion funding round is proving difficult and convoluted to raise.

  7. Assessment: UnresolvedSaid

    “This is a big problem, because OpenAI needs $655 billion in the next five years to pay all its bills, and loses billions of dollars a year.”

    What we tested: OpenAI needs $655 billion over the next five years to pay its bills and loses billions of dollars a year.

  8. Assessment: UnresolvedSaid

    “This is a complete and utter lie. A bald-faced lie. This is not something that Claude Code can do.”

    What we tested: Claude Code cannot let a competent developer replicate the core functionality of a mid-market SaaS product in weeks well enough that a CIO reviewing a $500k annual renewal would ask whether to build it in-house, and Citrini's claim that it can is a lie.

  9. Assessment: UnresolvedSaid

    “Let's start with the simplest, and least-technical way of putting it: even in the best-case scenario, you do not just type "Build Be A Salesforce Competitor" and it erupts, fully-formed, from your Terminal window. It is not capable of building it, but even if it were, it would need to actually be on a cloud hosting platform, and have all manner of actual customer data entered into it.”

    What we tested: Claude Code is not capable of building a Salesforce competitor from a prompt.

  10. Assessment: SupportedSaid

    “And yet, the myth that LLMs are an existential threat to existing software companies has taken root in the market, sending the share prices of the legacy incumbents tumbling.”

    What we tested: The myth that LLMs are an existential threat to existing software companies has taken root in the market and sent the share prices of legacy software incumbents tumbling.

    What happened: Reuters reports broad declines, including more than 5% in Salesforce, ServiceNow, and Adobe, and identifies AI fears through trader and analyst accounts. It also attributes SAP's preceding sharp fall to disappointing cloud guidance, limiting any claim that AI fears explain every decline. (Reuters, syndicated by Radio USA, )

  11. Assessment: UnresolvedSaid

    “Regardless, my point is that you will not just “make your own software.””

    What we tested: Companies will not simply use AI to make their own software in place of SaaS.

  12. Assessment: ContradictedSaid

    “Claude Code does not actually build unique software.”

    What we tested: Claude Code does not build unique software.

    What happened: The report documents Claude Code producing machine-checked verification code for an ANF transformation whose corresponding proof had previously been left as future work. It adapted an existing CPS proof under expert guidance, adding a distinct verified property rather than merely reproducing the template; February 23 dates the public artifact report, not an asserted exact completion day. (arXiv — Zoe Paraskevopoulou, )

  13. Assessment: ContradictedSaid

    “Every example you've read about somebody being amazed by it has built a toy app or website that's very similar to many open source projects or website templates that Anthropic trained its training data on.”

    What we tested: Every example you have read of somebody being amazed by Claude Code involves a toy app or website very similar to the many open source projects or website templates in Anthropic's training data.

    What happened: Carlini's public account identifies Claude Code sessions, provides source code, and expresses surprise at the achievement. The reported compiler functionality goes substantially beyond a small app or website, although the account also discloses dependencies, defects and extensive human work on the testing environment. (Anthropic, )

  14. Assessment: Can’t be checkedSaid

    “It might tell you it's completely compliant and that it will run like a hot knife through butter — but LLMs don’t know anything, and you cannot be sure Claude is telling the truth as a result.”

    What we tested: Claude might tell you its output is fully compliant and will run well, but because LLMs don't know anything, you cannot be sure Claude is telling the truth.

  15. Assessment: UnresolvedSaid

    “We have absolutely no proof this happened other than Anthropic saying it, but because the media repeated it it’s now a fact.”

    What we tested: There is no proof beyond Anthropic's word that Claude Sonnet 4.5 coded for 30 hours or built a Slack/Teams-like chat app.

  16. Assessment: Can’t be checkedSaid

    “This is thanks to the intentionally-deceptive marketing pedalled by Anthropic and validated by the media.”

    What we tested: Investors' confusion about AI replacing software is caused by Anthropic's intentionally deceptive marketing, validated by the media.

  17. Assessment: Can’t be checkedSaid

    “As I discussed last week, Anthropic’s primary business model is deception, muddying the waters of what’s possible today and what might be possible tomorrow through a mixture of flimsy marketing statements and chief executive Dario Amodei’s doomerist lies about all white collar labor disappearing.”

    What we tested: Anthropic's primary business model is deception about AI capabilities, including Amodei's claims about white collar labor disappearing.

  18. Assessment: Can’t be checkedSaid

    “This is the grifter economy, and the people that should be stopping them are asleep at the wheel.”

    What we tested: The AI hype economy is a grifter economy, and the media and markets meant to check it are asleep at the wheel.

Held from this post (12)

These records did not pass every check, so nothing about them is published. Held is not a finding.