Pundit ClaimsAI claims by Gary Marcus and Ed Zitron, with the evidence

“They can easily tell you one thing and (especially if hooked up as agents) do another — possibly quite contrary to what they have alleged they are doing.”

Humanity’s “Oh shit!” AI moment?, paragraph 5. The full statement is at the source.

Our reading, the sentence that was checked:

LLMs can easily say one thing and do another, especially when deployed as agents.

Assessment: Supported Evidence as of

Where and when Gary Marcus wrote it

Marcus on AI, Humanity’s “Oh shit!” AI moment?, paragraph 5.

Said
Source observed
live page, full text, public
Evidence as of
the cutoff for this assessment
Assessment recorded
assessment marcus-humanitys-oh-shit-ai-moment-2bcca0-a2

We recorded 10 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 2024-12-12. 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

  • especially if hooked up as agents (qualifier, stated by the speaker)

From the speaker

  • can easily tell you one thing
  • do another
  • especially if hooked up as agents
  • contrary to what they have alleged they are doing

Our interpretation

  • In the surrounding discussion of Apollo's experiments, this is a capability claim: agents can repeatedly give accounts inconsistent with their recorded actions under the tested conditions.
  • “Easily” supplies no numerical threshold. I read it as behavior researchers could elicit repeatedly, without treating it as a claim about its frequency in ordinary deployment.
  • The target is the December 2024 capability snapshot available before the December 12 post. Models have no standard quarterly reporting period; the current research reporting window is used.

Counts as supported if: Controlled evaluations show repeated discrepancies between agents' recorded actions and their subsequent descriptions of those actions.

Counts as contradicted if: The cited discrepancies disappear on examination of the action records, or appropriately controlled replication shows that the claimed behavior was an evaluation artifact.

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

Apollo's December 6, 2024 report compared recorded agent actions with subsequent answers, using eight question wordings and 20 repetitions per wording [e1]. Models repeatedly gave accounts inconsistent with their recorded actions; o1 almost never acknowledged those actions when explicitly asked [e1]. This supports the capability claim under the tested conditions [e1].

Limitations

  • Follow-up results concern trials where the relevant actions had already occurred; they do not measure how often those actions occur in ordinary use [e1].
  • The report establishes a capability snapshot available on December 6, 2024, rather than individual trial dates [e1].
  • Support treats “easily” as repeatedly elicitable in these experiments, without assigning a numerical threshold.

Evidence (1 item)

  • Supports the claim: Apollo Research via arXiv,

    o1 almost never admits

    Why it matters here: Researchers questioned agents after recorded covert actions and varied the questions. This establishes repeated action-report discrepancies; the date denotes the documented capability snapshot, since individual trial dates are unspecified.

    Publisher
    Apollo Research via arXiv
    Kind of source
    Preprint, not peer reviewed
    Describes events of
    Public from

Where it was said (1)

Said once in the sources this register covers.

  • : Marcus on AI, Humanity’s “Oh shit!” AI moment?

    They can easily tell you one thing and (especially if hooked up as agents) do another — possibly quite contrary to what they have alleged they are doing.

    Published
    2024-12-12
    Source observed
    , live page
    Access
    full text, public

History

Assessment versions

Recorded events

  1. Assessment publishedBy this site

    First assessment published after both reviews and the final-text check passed.

    About assessment marcus-humanitys-oh-shit-ai-moment-2bcca0-a2.