“And there is no way reviewers and journals are going to be able to keep up.”
Our reading, the sentence that was checked:
Reviewers and journals will not be able to keep up with the flood of LLM-generated submissions.
Assessment: Unresolved No deadline stated on 2026-10-29 Evidence as of
Where and when Gary Marcus wrote it
Marcus on AI, The exponential enshittification of science, paragraph 7.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment marcus-the-exponential-enshittification-aa15a9-a2
We recorded 10 claims from this post. See every claim from this post.
The wording above is the version this site observed on 2026-10-29. The source may have been edited after 2024-03-15. 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
- No deadline stated
- Deadline state on 2026-10-29
- No deadline stated (the release’s reference date)
From the speaker
- reviewers and journals
- no way
- going to be able to keep up
- tripling their workload would not be feasible
Our interpretation
- Keeping up means maintaining workable review capacity and effective screening as LLM-generated submissions increase.
- The claim concerns a broad failure across scientific publishing, rather than the existence of individual missed errors.
- Tripling is a hypothetical illustration, not an explicit antecedent or a committed forecast of submission volume.
- No deadline is stated.
Counts as supported if: Dated evidence establishes sustained, widespread review or screening breakdown across journals caused materially by increased LLM-generated submissions.
Counts as contradicted if: Representative evidence shows journals maintaining review capacity and screening effectiveness despite the substantial LLM-generated submission burden contemplated by the claim.
Retrospective: these criteria were written after the outcome was public.
Current assessment
Did the forecast come true?
Outcome: Unresolved
The record was checked, and the evidence available by the cutoff does not settle it.
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 deadline stated
- Assessment recorded
- Policy version
- 2026-10-28.7
Rationale
In May 2024, James Zou described increasing difficulty recruiting qualified reviewers for AI and computer-science conferences (e2). Springer Nature's 2025 annual report describes its Snapp review platform and says investment is helping it manage growing submission volumes (e3). The conference account does not establish sustained breakdown across journals attributable to LLM-generated submissions, and the publisher disclosure does not independently establish screening effectiveness (e2, e3). These items settle neither broad incapacity nor successful adaptation (e2, e3).
Limitations
- The recruitment account concerns conferences in limited disciplines and does not isolate the effect of LLM-generated submissions (e2).
- Springer Nature's disclosure covers one publisher, and the cited technology section is explicitly unaudited (e3).
- The evidence lacks representative measurements jointly tracking LLM-generated submissions, review capacity, backlogs and screening effectiveness.
Evidence (2 items)
Context only: Stanford Institute for Human-Centered Artificial Intelligence,
find qualified reviewers
Why it matters here: Zou describes recruitment pressure alongside growing AI and computer-science conference submissions. This firsthand account does not establish system-wide journal failure or isolate the effect of LLM-generated submissions.
- Publisher
- Stanford Institute for Human-Centered Artificial Intelligence
- Kind of source
- News report
- Describes events of
- Public from
Context only: Springer Nature,
assist authors
Why it matters here: The publisher describes an operating review platform and tools intended to accommodate growing volumes. This is counterevidence to inevitable incapacity, but publisher self-reporting does not establish independent screening effectiveness.
- Publisher
- Springer Nature
- Kind of source
- Company disclosure: the company describing itself, not an independent finding, unaudited
- Describes events of
- Public from
What would settle it
Cross-publisher operational records and independent audits showing whether measured growth in LLM-generated submissions causes sustained review or screening breakdown, or whether capacity and screening remain effective under that burden. An agreed observation period would be needed for a final failure-to-occur judgment.
Where it was said (1)
Said once in the sources this register covers.
: Marcus on AI, The exponential enshittification of science
And there is no way reviewers and journals are going to be able to keep up.
- Where
- paragraph 7
- Published
- 2024-03-15
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment marcus-the-exponential-enshittification-aa15a9-a2: Current. Outcome: Unresolved. 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-the-exponential-enshittification-aa15a9-a2.