“High volume misinformation is a problem we are going to need to face, and I am just documenting it and trying to raise awareness.”
Our reading, the sentence that was checked:
High-volume misinformation generated with AI will be a problem society needs to face.
Assessment: Supported Settled before its deadline on 2026-10-29 Evidence as of
Where and when Gary Marcus wrote it
Marcus on AI, Don’t Look Up: The AI Edition, paragraph 18.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment marcus-dont-look-up-the-ai-edition-c036ac-a1
We recorded 4 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 2023-03-02. This page does not claim the wording was captured then.
What the claim commits to
- Kind
- Forecast
- Deadline, as the speaker wrote it
- None stated. This site does not add one.
- Deadline state when assessed
- Settled before its deadline
- Deadline state on 2026-10-29
- Settled before its deadline (the release’s reference date)
From the speaker
- High volume misinformation
- a problem we are going to need to face
Our interpretation
- The surrounding discussion identifies AI as the means of producing misinformation.
- The plain reading is substantial real-world dissemination of AI-generated misinformation requiring a documented institutional response.
- High volume includes thousands of disseminated messages; it does not require thousands of distinct narratives.
- The wording does not restrict misinformation to text. AI-generated impersonation audio is included.
- No claim of decisive electoral influence, widespread persuasion, or societal catastrophe is required.
Counts as supported if: A documented post-publication deployment distributes AI-generated misinformation at substantial volume and produces a concrete institutional response or demonstrated harm.
Counts as contradicted if: With no deadline or upper time bound, a period without such deployment cannot establish failure. A purported qualifying event can be rejected if its AI attribution, misinformation content, scale, or response is disproved.
Retrospective: these criteria were written after the outcome was public.
Current assessment
Did the forecast come true?
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
- Settled before its deadline
- Assessment recorded
- Policy version
- 2026-10-28.7
Rationale
The January 21, 2024 campaign sent thousands of AI-generated Biden impersonation messages to potential voters and prompted FCC enforcement. That satisfies the stated reading of high-volume AI misinformation becoming a problem institutions had to address. This assessment includes audio and repeated dissemination. It does not establish that AI misinformation changed an election or persuaded large audiences; OpenAI's separate investigations found little authentic engagement.
Limitations
- The decisive event uses generated audio rather than chatbot-written text.
- The FCC document is a notice of apparent liability, not a final criminal judgment.
- The claim supplies neither a volume threshold nor a severity threshold.
Evidence (3 items)
Supports the claim: Federal Communications Commission,
Kramer sent thousands
Why it matters here: The FCC documents a campaign impersonating Biden and discouraging primary voting, identifies 9,581 calls, and proposes an enforcement penalty. This meets the stated interpretation of high-volume AI misinformation requiring an institutional response.
- Publisher
- Federal Communications Commission
- Kind of source
- Regulatory filing
- Describes events of
- Public from
Context only: NewsGuard,
Some publish hundreds of articles a day.
Why it matters here: NewsGuard found high-output AI news sites containing some false narratives. It also reported that most identified sites did not advance misinformation, so total article production cannot be treated as a misinformation count.
- Publisher
- NewsGuard
- Kind of source
- Independent measurement
- Describes events of
- Public from
Context only: OpenAI,
engagement
Why it matters here: OpenAI reported disrupting five influence operations using its models but found little authentic engagement. This limits any inference that increased production necessarily produced substantial persuasion.
- Publisher
- OpenAI
- Kind of source
- Company disclosure: the company describing itself, not an independent finding
- Describes events of
- Public from
Where it was said (1)
Said once in the sources this register covers.
: Marcus on AI, Don’t Look Up: The AI Edition
High volume misinformation is a problem we are going to need to face, and I am just documenting it and trying to raise awareness.
- Where
- paragraph 18
- Published
- 2023-03-02
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment marcus-dont-look-up-the-ai-edition-c036ac-a1: 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-dont-look-up-the-ai-edition-c036ac-a1.