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

“It will still make a significant number of shake-your-head stupid errors, in ways that are hard to fully predict.”

What to Expect When You’re Expecting … GPT-4, prediction 1 of 7. The full statement is at the source.

Our reading, the sentence that was checked:

GPT-4 will make a significant number of hard-to-predict stupid errors.

Assessment: Supported Settled before its deadline on 2026-10-29 Evidence as of

Where and when Gary Marcus wrote it

Marcus on AI, What to Expect When You’re Expecting … GPT-4, prediction 1 of 7.

Said
Source observed
live page, full text, public
Evidence as of
the cutoff for this assessment
Assessment recorded
assessment marcus-what-to-expect-when-youre-expecting-6a17e4-a1

We recorded 27 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 2022-12-25. 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

  • a significant number
  • shake-your-head stupid errors
  • hard to fully predict

Our interpretation

  • The target is GPT-4 itself, including its early released versions, rather than all subsequent OpenAI models.
  • The plain reading is recurring elementary mistakes with unexpectedly uneven occurrence across similar tasks. It does not require errors to be mathematically unpredictable.
  • Significant means a substantial recurring pattern in controlled evaluations, rather than isolated anecdotes. Marcus supplied no population-wide error-rate threshold.

Counts as supported if: Controlled GPT-4 evaluations find substantial elementary errors and unexpectedly large differences between closely related tasks or inputs.

Counts as contradicted if: Broad evaluations find elementary mistakes rare and show that their occurrence can reliably be anticipated across reasonable task variations.

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

GPT-4 made substantial numbers of objectively wrong answers on elementary operations, with large differences between closely related tasks. That supports the ordinary reading of Marcus's forecast. The predictability component is less direct: the study explains some broad failure patterns, so it does not establish that failures are inherently unpredictable.

Limitations

  • The judgment depends on reading hard to predict as unexpectedly uneven performance, rather than requiring a direct prediction experiment.
  • Results concern the tested GPT-4 version and prompting methods.
  • Benchmark error rates are not population-wide usage rates.

Evidence (1 item)

  • Supports the claim: arXiv,

    surprising failure modes

    Why it matters here: GPT-4 achieved 76% accuracy joining first letters but 3% joining second letters, and 80% sorting words alphabetically but 32% in reverse order. These controlled differences support recurring elementary mistakes and unexpectedly uneven performance, although the authors also successfully predicted broad patterns from task frequency.

    Publisher
    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, What to Expect When You’re Expecting … GPT-4

    It will still make a significant number of shake-your-head stupid errors, in ways that are hard to fully predict.

    Published
    2022-12-25
    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-what-to-expect-when-youre-expecting-6a17e4-a1.