“A recent AAAI survey showed that this is in fact the majority opinion among a broad sampling of researchers and academic scientists, by a wide margin.”
Our reading, the sentence that was checked:
A recent AAAI survey showed that doubting LLMs can reach AGI is the majority opinion, by a wide margin, among a broad sampling of researchers and academic scientists.
Assessment: Supported Evidence as of
Where and when Gary Marcus wrote it
Marcus on AI, The False Glorification of Yann LeCun, paragraph 19.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment marcus-the-false-glorification-of-yann-lecun-c92fbe-a1
We recorded 13 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 2025-11-18. 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
- among a broad sampling of researchers and academic scientists (scope, stated by the speaker)
From the speaker
- A recent AAAI survey
- the majority opinion
- a broad sampling of researchers and academic scientists
- by a wide margin
Our interpretation
- The referenced observation is the 2025 AAAI Presidential Panel survey result available before the post.
- In the surrounding discussion of scaling, doubting LLMs can reach AGI means doubting that scaling current approaches is sufficient.
- A wide majority means substantially more than half, without imposing an arbitrary numerical cutoff.
- Broad sampling means respondents across affiliations and regions. It does not imply a statistically representative sample of all AI researchers.
Counts as supported if: The survey reports a clearly substantial majority doubting that scaling current AI approaches will yield AGI, with respondents drawn from multiple research settings and regions.
Counts as contradicted if: The survey reports no majority, only a narrow majority, or a materially different proposition or respondent population.
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
The reported 76% is plainly a wide majority, and the survey covered multiple research settings and regions. This supports Marcus's contextual point that skepticism about reaching AGI by scaling current approaches was widespread. It does not establish that respondents rejected every possible future LLM-based system, or that 76% of all AI researchers held this view.
Limitations
- The favorable assessment depends on reading the claim in its discussion of current approaches and scaling.
- The survey measured doubts about success, not agreement that success was impossible.
- The original report was checked, but its interleaved text extraction prevented a clean quotation of the result. The evidence item therefore quotes contemporaneous news reporting.
Evidence (1 item)
Supports the claim: The Decoder,
76 percent of respondents
Why it matters here: The preceding sentence identifies the proposition as scaling existing AI systems to AGI. The article also describes 475 survey participants, with 67% in academia and 53% in North America; the original AAAI sources were read to cross-check the result and sample description.
- Publisher
- The Decoder
- Kind of source
- News report
- Describes events of
- Public from
Where it was said (1)
Said once in the sources this register covers.
: Marcus on AI, The False Glorification of Yann LeCun
A recent AAAI survey showed that this is in fact the majority opinion among a broad sampling of researchers and academic scientists, by a wide margin.
- Where
- paragraph 19
- Published
- 2025-11-18
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment marcus-the-false-glorification-of-yann-lecun-c92fbe-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-the-false-glorification-of-yann-lecun-c92fbe-a1.