“Negative externalities, essentially none of which OpenAI is absorbing, like the cost of dis- and misinformation, cybercrimes, and the latest, fake books, a scam that has recently hurt at least three authors I know over the last two months.”
Our reading, the sentence that was checked:
OpenAI absorbs essentially none of the negative externalities of its products, such as misinformation, cybercrime, and fake books.
Assessment: Unresolved Evidence as of
Where and when Gary Marcus wrote it
Marcus on AI, Seven reasons why the world should say No to Sam Altman, paragraph 15.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment marcus-seven-reasons-why-the-world-should-fc0fed-a1
We recorded 15 claims from this post. See every claim from this post.
The wording above is the version this site observed on 2026-10-29. The source may have been edited after 2024-02-10. 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)
From the speaker
- Negative externalities
- essentially none of which OpenAI is absorbing
- the cost of dis- and misinformation
- cybercrimes
- fake books
- over the last two months
Our interpretation
- The ordinary reading is that OpenAI bears a negligible share of the costs its products impose on others.
- Absorbing costs includes compensation, remediation, and liability payments. Prevention efforts are relevant context but cannot automatically be counted as payment for damage already imposed.
- The post supplies no accounting period. I use its surrounding two-month window, December 10, 2023 through February 10, 2024, as the recent state being described; that window explicitly attaches to the fake-book example.
- Essentially none permits small payments. A single payment or safety initiative would not by itself contradict the claim.
- The separate assertion about three authors personally known to Marcus is not treated as independently verified.
Counts as supported if: Comparable evidence shows that OpenAI bore only a negligible share of the attributable external harm costs during the target period.
Counts as contradicted if: Comparable evidence shows that OpenAI bore a material share of those costs during the target period.
Retrospective: these criteria were written after the outcome was public.
Current assessment
Was it true for the period described?
Outcome: Unresolved
The record was checked, and the evidence available by the cutoff does not settle it.
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
The records located do not measure what share of external harm costs OpenAI bore. Copyright Shield and election safeguards show commitments and prevention efforts, but neither provides the required payment totals or harm denominator. They therefore neither establish nor refute 'essentially none'. Missing public payment records cannot be treated as proof of no payments.
Limitations
- Private payments and remediation costs may not be publicly disclosed.
- Prevention expenditure and realized harm compensation are different measures.
- The accounting basis is unspecified.
Evidence (2 items)
Context only: OpenAI,
ChatGPT Enterprise and our developer platform.
Why it matters here: The preceding sentence promises to defend eligible customers and pay costs of copyright claims. This is relevant countercontext to a sweeping refusal to bear costs, but predates the target window and reports no actual payments or share of societal harm.
- Publisher
- OpenAI
- Kind of source
- Company disclosure: the company describing itself, not an independent finding
- Describes events of
- Public from
Context only: OpenAI,
anticipate and prevent
Why it matters here: OpenAI described efforts to prevent misinformation-related harms. That establishes an announced prevention effort, not how much external damage it paid to remedy.
- Publisher
- OpenAI
- Kind of source
- Company disclosure: the company describing itself, not an independent finding
- Describes events of
- Public from
What would settle it
Comparable records of OpenAI's actual harm-related payments and remediation costs, together with a defensible estimate of attributable external harm during the same period.
Where it was said (1)
Said once in the sources this register covers.
: Marcus on AI, Seven reasons why the world should say No to Sam Altman
Negative externalities, essentially none of which OpenAI is absorbing, like the cost of dis- and misinformation, cybercrimes, and the latest, fake books, a scam that has recently hurt at least three authors I know over the last two months.
- Where
- paragraph 15
- Published
- 2024-02-10
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment marcus-seven-reasons-why-the-world-should-fc0fed-a1: Current. Outcome: Unresolved. 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-seven-reasons-why-the-world-should-fc0fed-a1.