“And that’s just not realistic given the current state of AI.”
Our reading, the sentence that was checked:
Current AI cannot reliably get synthesis of online information and multi-step research right.
Assessment: Supported Evidence as of
Where and when Gary Marcus wrote it
Marcus on AI, Deep Research, Deep Bullshit, and the potential (model) collapse of science, paragraph 23.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment marcus-deep-research-deep-bullshit-and-the-468f01-a2
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 2025-02-03. 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
- given the current state of AI (qualifier, stated by the speaker)
From the speaker
- get it right, reliably
- that’s just not realistic
- given the current state of AI
Our interpretation
- The surrounding passage concerns factual synthesis of online information and multi-step research, particularly launch-version OpenAI Deep Research.
- The ordinary reading is that users could not depend on these systems for accurate research without substantive checking. It does not mean every answer was wrong or that the systems had no useful capabilities.
- For this ongoing technical state, the target period is 2025-02-02 through 2025-02-03: the launch and publication window. A financial reporting period would not apply.
- Marcus supplied no numerical reliability threshold; the assessment concerns material factual, source-selection, and uncertainty-calibration weaknesses.
Counts as supported if: Evidence describing systems available during the target period establishes material weaknesses in factual synthesis, source discrimination, or communicating uncertainty that prevent dependable unchecked research.
Counts as contradicted if: Broad, relevant evaluations establish dependable factual synthesis and multi-step research across ordinary uses, with failures sufficiently rare and minor that substantive checking is generally unnecessary.
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
OpenAI's February 2, 2025 launch disclosure says Deep Research can hallucinate facts or make incorrect inferences, may struggle to distinguish authoritative information from rumors, and often fails to convey uncertainty accurately [e1]. These limitations support the contextual claim that launch-version Deep Research required substantive checking during February 2–3, 2025 [e1]. The disclosure also reports successful information seeking and benchmark gains, which demonstrate capabilities without establishing dependable accuracy across research reports [e2].
Limitations
- The evidence directly concerns Deep Research, not every contemporary AI system.
- The company disclosure supplies no representative report-level error rate or independent audit.
- Support depends on reading reliability as dependable research without substantive checking.
Evidence (2 items)
Supports the claim: OpenAI,
often failing to convey uncertainty accurately.
Why it matters here: The launch disclosure identifies source-discrimination and uncertainty-communication weaknesses directly relevant to dependable research. These support the ordinary reading that the output required substantive checking.
- Publisher
- OpenAI
- Kind of source
- Company disclosure: the company describing itself, not an independent finding
- Describes events of
- Public from
Context only: OpenAI,
effectively seeking out specialized information
Why it matters here: The same disclosure reports useful information-seeking capabilities and benchmark improvements. This qualifies any reading that the system was incapable of successful research, but does not establish dependable accuracy across reports.
- Publisher
- OpenAI
- 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, Deep Research, Deep Bullshit, and the potential (model) collapse of science
And that’s just not realistic given the current state of AI.
- Where
- paragraph 23
- Published
- 2025-02-03
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment marcus-deep-research-deep-bullshit-and-the-468f01-a2: 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-deep-research-deep-bullshit-and-the-468f01-a2.