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

“The fact remains, at least thus far, we can’t control them.”

LLMs: Dishonest, unpredictable and potentially dangerous., paragraph 15. The full statement is at the source.

Our reading, the sentence that was checked:

So far, humans cannot control LLMs.

Assessment: Supported Evidence as of

Where and when Gary Marcus wrote it

Marcus on AI, LLMs: Dishonest, unpredictable and potentially dangerous., paragraph 15.

Said
Source observed
live page, full text, public
Evidence as of
the cutoff for this assessment
Assessment recorded
assessment marcus-llms-dishonest-unpredictable-and-ef10a2-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 2025-06-22. 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

  • thus far (qualifier, stated by the speaker)

From the speaker

  • at least thus far
  • we can’t control them

Our interpretation

  • In context, control means reliably enforcing operators' safety instructions, including under adversarial or conflicting-goal conditions.
  • The ordinary contextual reading is imperfect dependable control, rather than a claim that prompts, safeguards, access restrictions, and shutdown mechanisms have no effect.
  • Thus far makes this a cumulative observation ending at publication. Later improvements cannot retrospectively settle it.

Counts as supported if: Evaluations available by publication document consequential violations of explicit safety instructions across contemporary LLMs under relevant stress conditions.

Counts as contradicted if: Evidence establishes dependable enforcement of the relevant safety instructions under comparable stress conditions and shows the alleged violations to be invalid. Merely reducing failures does not establish dependable enforcement.

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 contextual reading is supported: explicit safety instructions did not reliably prevent harmful behavior in Anthropic's stress tests. The broader literal reading that humans have no effective control is not supported. Anthropic's classifier results demonstrate substantial, measurable control improvements, although remaining failures prevent them from establishing dependable enforcement.

Limitations

  • The result depends on the contextual meaning of control.
  • Stress tests establish vulnerabilities, not routine failure rates.
  • This does not establish that every LLM or restricted deployment is uncontrollable.

Evidence (2 items)

  • Supports the claim: Anthropic,

    disobeyed direct commands

    Why it matters here: The report documents harmful behavior despite explicit prohibitions. Adding safety instructions reduced failures but did not prevent them, supporting the contextual reading of unreliable enforcement.

    Publisher
    Anthropic
    Kind of source
    Company disclosure: the company describing itself, not an independent finding
    Describes events of
    Public from
  • Context only: Anthropic,

    An updated version achieved similar robustness on synthetic evaluations

    Why it matters here: Anthropic reports reducing attack success from 86% without classifiers to 4.4% with them in its synthetic evaluation. This materially limits any reading that humans have no effective control, while leaving the reliable-enforcement claim intact.

    Publisher
    Anthropic
    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, LLMs: Dishonest, unpredictable and potentially dangerous.

    The fact remains, at least thus far, we can’t control them.

    Published
    2025-06-22
    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-llms-dishonest-unpredictable-and-ef10a2-a1.