“The basic conjecture then — which has already been confirmed to some degree – was that LLMs would be used to write garbage content undermining the value of the internet itself.”
Our reading, the sentence that was checked:
His 2023 conjecture that LLMs would be used to write garbage content undermining the internet's value has already been confirmed to some degree.
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 11.
- 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-9f9465-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 2025-02-03. 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
- to some degree (qualifier, stated by the speaker)
From the speaker
- already been confirmed to some degree
- LLMs would be used
- write garbage content
- undermining the value of the internet itself
Our interpretation
- The context dates the original conjecture to approximately February 2023. The observation concerns evidence accumulated from that period through publication on February 3, 2025.
- The ordinary reading of 'to some degree' requires documented unreliable or low-quality LLM content that causes identifiable information-quality costs. It does not require a measured decline in the internet's total economic value.
- 'To some degree' qualifies the strength of the assertion; it is not a conditional antecedent.
Counts as supported if: Investigations available by the post identify published LLM-generated junk and observable costs such as misleading information spreading or lower-quality reference material.
Counts as contradicted if: Reliable evidence refutes the alleged LLM attribution or information-quality harm and establishes that the asserted partial confirmation was absent during the target period.
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
Before the post, NewsGuard had documented an apparently AI-rewritten false story spreading online. An independent preprint also found quality deficits in Wikipedia articles detected as AI-generated. Together these support Marcus’s limited assertion of confirmation 'to some degree'. They do not establish an internet-wide net decline or the stronger possibility of Google being destroyed.
Limitations
- The Wikipedia study was a preprint and relied on imperfect detectors.
- NewsGuard qualified its attribution of the particular rewrite to AI.
- The evidence establishes specific harms, not their total prevalence or net economic impact.
Evidence (2 items)
Supports the claim: NewsGuard,
appeared to have used AI
Why it matters here: NewsGuard traced a viral false psychiatrist story to a site it classified as AI-generated and documented subsequent dissemination. This is a concrete information-quality harm, although its attribution of this particular rewrite to AI is qualified.
- Publisher
- NewsGuard
- Kind of source
- Independent measurement
- Describes events of
- Public from
Supports the claim: arXiv; Creston Brooks, Samuel Eggert, and Denis Peskoff,
generally lower on at least two axes
Why it matters here: The study examined newly created Wikipedia articles and found fewer references and weaker integration among articles flagged as AI-generated. This supports a limited deterioration in reference quality, subject to imperfect AI detection.
- Publisher
- arXiv; Creston Brooks, Samuel Eggert, and Denis Peskoff
- 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, Deep Research, Deep Bullshit, and the potential (model) collapse of science
The basic conjecture then — which has already been confirmed to some degree – was that LLMs would be used to write garbage content undermining the value of the internet itself.
- Where
- paragraph 11
- Published
- 2025-02-03
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment marcus-deep-research-deep-bullshit-and-the-9f9465-a1: 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-9f9465-a1.