“Knockoffs of GPT-3 are getting cheaper and cheaper, which means that the cost of generating misinformation is going to zero, and the quantity of misinformation is going to rise—probably exponentially.”
Our reading, the sentence that was checked:
Cheaper GPT-3 knockoffs will drive the cost of generating misinformation toward zero.
Assessment: Supported Evidence as of
Where and when Gary Marcus wrote it
Marcus on AI, Bravo @ElonMusk for wanting Twitter to become the world’s “most accurate source of information”, paragraph 14.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment marcus-bravo-elonmusk-for-wanting-twitter-7050d7-2-a1
We recorded 9 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 2022-11-09. This page does not claim the wording was captured then.
What the claim commits to
- Kind
- Causal claim
- 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
- because GPT-3 knockoffs are getting cheaper (qualifier, stated by the speaker)
From the speaker
- Knockoffs of GPT-3 are getting cheaper and cheaper
- which means
- the cost of generating misinformation is going to zero
Our interpretation
- The plain reading is that inexpensive GPT-like alternatives make the marginal production of misinformation text negligibly cheap.
- Going to zero describes negligible marginal cost, not literally costless electricity, hardware, human oversight, or distribution.
- Generation means producing the text; it does not include running an entire influence campaign.
- Because identifies a proposed mechanism, rather than an independent if-then condition.
- This concerns a production process, not a named company's finances, so metric_scope is null.
Counts as supported if: A reproducible generation study using GPT-like alternatives demonstrates usable misinformation text at negligible marginal model cost and connects the savings to automated generation.
Counts as contradicted if: Comparable generation studies show that cheaper models cannot produce usable misinformation at negligible marginal cost, or that unavoidable generation costs erase the proposed savings.
Retrospective: these criteria were written after the outcome was public.
Current assessment
Does the evidence support the cause?
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
The generation-stage reading is supported. A primary study tested convincing election-disinformation output and estimated very small generation costs using Gemini and Llama alternatives. Its cost comparison connects inexpensive automated generation to a large reduction in writing expenditure. This does not establish literally zero cost or negligible costs for distribution, oversight, and complete influence operations.
Limitations
- Support depends on interpreting zero as negligible marginal cost.
- The monetary comparison is an estimate attached to generation experiments.
- The evidence does not isolate every reason model prices became cheaper.
Evidence (1 item)
Supports the claim: PLOS ONE,
two models achieve above-human-humanness
Why it matters here: The experiments establish that alternatives can produce convincing election-disinformation content. For ten articles daily over a month, the cost section estimates $0.30 using Gemini or $9 using hosted Llama 3 70B, compared with $4,500 for the cited human-writing service; these are generation-stage estimates, not total campaign budgets.
- Publisher
- PLOS ONE
- Kind of source
- Peer-reviewed paper
- Describes events of
- Public from
Where it was said (1)
Said once in the sources this register covers.
: Marcus on AI, Bravo @ElonMusk for wanting Twitter to become the world’s “most accurate source of information”
Knockoffs of GPT-3 are getting cheaper and cheaper, which means that the cost of generating misinformation is going to zero, and the quantity of misinformation is going to rise—probably exponentially.
- Where
- paragraph 14
- Published
- 2022-11-09
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment marcus-bravo-elonmusk-for-wanting-twitter-7050d7-2-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-bravo-elonmusk-for-wanting-twitter-7050d7-2-a1.