“LLMs are famous not for their efficacy, but their inconsistency, with even ardent AI cultists warning people not to trust their output.”
Our reading, the sentence that was checked:
LLMs are famous for their inconsistency rather than their efficacy, and even ardent AI supporters warn people not to trust their output.
Assessment: Unresolved Evidence as of
Where and when Ed Zitron wrote it
Where's Your Ed At, Never Forget What They've Done, paragraph 20.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment wyea-never-forget-what-theyve-done-822d24-a1
We recorded 4 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 2025-06-09. 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)
From the speaker
- famous not for their efficacy
- but their inconsistency
- even ardent AI cultists warning people not to trust their output
Our interpretation
- Read the pejorative description as referring to enthusiastic AI advocates, without adopting the characterization.
- Read the warning as advice against accepting output without verification, rather than advice never to use LLMs.
- 'Famous not for ... but ...' asserts comparative public reputation. The existence of warnings alone does not establish that inconsistency predominated over efficacy.
- Use the current calendar year through publication, 2025-01-01 to 2025-06-09, as the reporting window for this ongoing observation; no reporting period is supplied.
Counts as supported if: Contemporaneous advocates publicly warn against unverified reliance, and representative reputation evidence shows inconsistency predominating over efficacy.
Counts as contradicted if: Representative contemporaneous evidence establishes that efficacy predominated over inconsistency in LLMs' reputation, or sufficiently comprehensive evidence disproves the asserted advocate warnings.
Retrospective: these criteria were written after the outcome was public.
Current assessment
Was it true for the period described?
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 horizon
- Assessment recorded
- Policy version
- 2026-10-28.7
Rationale
The warning clause has support: an enthusiastic practitioner explicitly required testing generated code. The stronger claim about what LLMs were chiefly famous for remains unsettled. Neither selected warnings nor performance benchmarks measure comparative public reputation.
Limitations
- The speaker gives no population or reputation measure.
- Two potentially relevant pages could not be read and were excluded.
- Later warnings and surveys cannot establish the earlier public state.
Evidence (1 item)
Supports the claim: Simon Willison,
You have to test what it writes!
Why it matters here: Willison describes successful, enthusiastic use of LLM coding tools while insisting that developers verify the code. This supports the advocate-warning clause, but provides no representative measure of public reputation.
- Publisher
- Simon Willison
- Kind of source
- Demonstration
- Describes events of
- Public from
What would settle it
A representative survey or systematic analysis of contemporaneous public discussion comparing recognition of LLM efficacy with recognition of inconsistency.
Where it was said (1)
Said once in the sources this register covers.
: Where's Your Ed At, Never Forget What They've Done
LLMs are famous not for their efficacy, but their inconsistency, with even ardent AI cultists warning people not to trust their output.
- Where
- paragraph 20
- Published
- 2025-06-09
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment wyea-never-forget-what-theyve-done-822d24-a1: 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 wyea-never-forget-what-theyve-done-822d24-a1.