“Another dramatic sign of changing times: Sam Altman, who ridiculed my 2022 critique of LLMs that argued that scaling would not bring us to AGI and that we would need architectures has just argued that”
Our reading, the sentence that was checked:
Sam Altman, who ridiculed Marcus's 2022 critique arguing that scaling would not bring us to AGI, has just said he bets there is another new architecture to find that would be as big a gain as transformers were over LSTMs, which Marcus calls a dramatic sign of changing times.
Assessment: Unresolved Evidence as of
Where and when Gary Marcus wrote it
Marcus on AI, BREAKING: Sam Altman concedes that we need major breakthroughs beyond mere scaling to get to AGI, paragraph 1.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment marcus-breaking-sam-altman-concedes-that-35c3be-a2
We recorded 6 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 2026-03-16. 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
- ridiculed my 2022 critique
- scaling would not bring us to AGI
- has just argued that
- another new architecture to find
- as big of a gain as transformers [were] to LSTMs
Our interpretation
- The checkable commitments are the attribution of the earlier ridicule and the recent architecture statement. 'Dramatic sign of changing times' is commentary.
- Both attributions must be established to support the whole claim.
- The target period covers the expressly mentioned 2022 episode through publication. 'Just' permits a recently published recording of an earlier talk.
- Predicting a valuable new architecture does not itself concede that scaling cannot produce AGI.
Counts as supported if: Authenticated public records establish both that Altman mocked Marcus's 2022 critique and that he made the reported comparison between a possible new architecture and the transformer advance.
Counts as contradicted if: Reliable records establish that either attribution is materially false or that the architecture passage was materially misquoted.
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
Altman's April 8, 2022 post mocks a deep-learning skeptic without naming Marcus [e1]. Commentary published on August 15, 2025 identifies Marcus as the target [e2]. This partially corroborates the ridicule attribution, but neither item authenticates the reported architecture comparison [e1, e2]. The evidence therefore does not establish or contradict the full claim.
Limitations
- The original post does not identify Marcus or his particular 2022 critique; the attribution rests on secondary commentary [e1, e2].
- The packet contains no authenticated recording or transcript of the architecture passage. That gap does not establish that the quotation is inaccurate.
- A prediction of a valuable new architecture would not by itself establish that scaling cannot produce AGI.
Evidence (2 items)
Supports the claim: Justin Bonanno, Teach Delight Move,
The “mediocre deep learning skeptic” is Marcus, of course.
Why it matters here: The author identifies Marcus as the target and links the original Altman post. This supports the ridicule component but does not establish the architecture component.
- Publisher
- Justin Bonanno, Teach Delight Move
- Kind of source
- Secondary summary
- Describes events of
- Public from
Context only: Sam Altman,
Give me the confidence of a mediocre deep learning skeptic...
Why it matters here: This establishes public mockery of a deep-learning skeptic. The recovered text does not identify Marcus or his particular essay.
- Publisher
- Sam Altman
- Kind of source
- Company disclosure: the company describing itself, not an independent finding
- Describes events of
- Public from
What would settle it
An authenticated recording or transcript showing the architecture passage in context, together with reliable documentation establishing or refuting the connection between Altman's April 2022 post and Marcus's critique.
Where it was said (1)
Said once in the sources this register covers.
: Marcus on AI, BREAKING: Sam Altman concedes that we need major breakthroughs beyond mere scaling to get to AGI
Another dramatic sign of changing times: Sam Altman, who ridiculed my 2022 critique of LLMs that argued that scaling would not bring us to AGI and that we would need architectures has just argued that
- Where
- paragraph 1
- Published
- 2026-03-16
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment marcus-breaking-sam-altman-concedes-that-35c3be-a2: 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-breaking-sam-altman-concedes-that-35c3be-a2.