“In Taming Silicon Valley, I warned that LLMs would be used for dumb things that would affect lots of people.”
Our reading, the sentence that was checked:
Marcus says that in Taming Silicon Valley he warned that LLMs would be used for dumb things that would affect lots of people, and he presents the tariff formula, which he says was probably recommended by an LLM, as confirming that warning.
Assessment: Supported Evidence as of
Where and when Gary Marcus wrote it
Marcus on AI, Did an LLM help write Trump’s trade plan?, paragraph 7.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment marcus-did-an-llm-help-write-trumps-trade-d580c6-a2
We recorded 2 claims from this post. See every claim from this post.
The wording above is the version this site observed on 2026-10-28. The source may have been edited after 2025-04-03. This page does not claim the wording was captured then.
What the claim commits to
- Kind
- Observation
- Deadline, as the speaker wrote it
- None stated. This site does not add one.
- Deadline state when assessed
- No horizon
- Deadline state on 2026-10-29
- No horizon (the release’s reference date)
Conditions
- the tariff formula was probably recommended by an LLM (qualifier, stated by the speaker)
- in Taming Silicon Valley (scope, stated by the speaker)
From the speaker
- In Taming Silicon Valley
- I warned
- LLMs would be used for dumb things
- would affect lots of people
Our interpretation
- Assess whether the 2024 book contained the warning Marcus describes, as the screening criteria specify.
- Read 'dumb things' as poorly judged or irresponsible uses, and 'lots of people' as broad public consequences. Neither phrase supplies a numerical threshold.
- The wording is a paraphrase of a warning, not a claim that these exact words appeared in the book.
- The target period is 2024, the year of the book identified in the supplied context.
- The tariff episode is his proposed illustration. LLM involvement in that episode is not an antecedent necessary to establish whether he previously issued the warning.
Counts as supported if: The book, authenticated excerpts, or reliable accounts of its contents establish that Marcus warned about irresponsible reliance on LLMs or text-generating AI with potentially widespread consequences.
Counts as contradicted if: An adequate examination of the book establishes that it contains no such warning, or that Marcus materially misrepresents its position.
Retrospective: these criteria were written after the outcome was public.
Current assessment
Was it true for the period described?
Outcome: Supported
The dated evidence matches what the claim committed to, under the criteria frozen before grading.
Scored on a plain reading. The speaker named no measure for this claim, so it was judged on the reading an informed reader would take, stated below under our interpretation. Both reviews had to find that reading fair.
- Evidence as of
- Deadline state when assessed
- No horizon
- Assessment recorded
- Policy version
- 2026-10-28.7
Rationale
A book excerpt published on September 19, 2024 asks whether LLMs had been used to make biased job decisions and explicitly says this was unknown [e1]. A November 13, 2024 review describes the book's warnings about poorly vetted AI-generated news and overreliance on AI in critical infrastructure where errors could have catastrophic consequences [e2]. Together, these support the substance of Marcus's description of his 2024 warning about inappropriate uses with potentially widespread consequences [e1, e2].
Limitations
- The complete book was not inspected; the assessment rests on an identified excerpt and an independent review.
- The evidence supports a substantive paraphrase, not verification that the quoted wording appeared in the book.
- The evidence does not establish whether an LLM recommended the tariff formula or whether that episode fulfilled the warning.
Evidence (3 items)
Supports the claim: Big Think, republishing an excerpt from The MIT Press book,
make job decisions
Why it matters here: This is primary textual evidence reproduced within a secondary publication. It establishes that the book raised concern about consequential, potentially biased uses of LLMs; it does not establish that those uses actually occurred.
- Publisher
- Big Think, republishing an excerpt from The MIT Press book
- Kind of source
- Secondary summary
- Describes events of
- Public from
Supports the claim: Los Angeles Review of Books,
collective impact
Why it matters here: The preceding sentences describe the book's warnings about publishers distributing inadequately checked AI-generated news and excessive reliance on AI in critical infrastructure with potentially catastrophic consequences. This independently corroborates both poor judgment in deployment and broad consequences.
- Publisher
- Los Angeles Review of Books
- Kind of source
- Secondary summary
- Describes events of
- Public from
Context only: Gary Marcus, Marcus on AI,
I rest my case.
Why it matters here: The placement confirms that Marcus presents the tariff episode as vindication. This is evidence of his presentation only, not of LLM involvement in the tariff formula.
- Publisher
- Gary Marcus, Marcus on AI
- Kind of source
- Secondary summary
- Describes events of
- Public from
Where it was said (1)
Said once in the sources this register covers.
: Marcus on AI, Did an LLM help write Trump’s trade plan?
In Taming Silicon Valley, I warned that LLMs would be used for dumb things that would affect lots of people.
- Where
- paragraph 7
- Published
- 2025-04-03
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment marcus-did-an-llm-help-write-trumps-trade-d580c6-a2: Current. Outcome: Supported. Evidence as of 2026-10-28. Public date not recorded.
Recorded events
Assessment publishedBy this site
First assessment published after both reviews and the final-text check passed.
About assessment marcus-did-an-llm-help-write-trumps-trade-d580c6-a2.