“But wait, if he really believes in basic income for all, why is he fleecing artists, writers, and other creators, not paying a nickel (to most) for training materials? A lot of them are losing gigs.”
Our reading, the sentence that was checked:
OpenAI does not pay most creators for training materials, and many creators are losing gigs.
Assessment: Unresolved Evidence as of
Where and when Gary Marcus wrote it
Marcus on AI, The Sam Altman Playbook, paragraph 35.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment marcus-the-sam-altman-playbook-c1e7e9-a1
We recorded 18 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 2024-05-05. 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
- artists, writers, and other creators
- not paying a nickel (to most) for training materials
- A lot of them are losing gigs
Our interpretation
- Most means more than half of the creators whose material OpenAI used for training, counted by creator rather than by number of works.
- Compensation includes payments passed through a publisher or other intermediary when they reach the creator.
- A lot means substantial documented instances of lost commissions or assignments, without requiring a majority of creators to have lost work.
- The latest observable period is early 2024 through the post date. This is an ongoing-state observation, not a claim about subsequent employment.
- The two clauses do not establish that OpenAI itself caused every reported loss of work. The word fleecing is evaluative and is not separately scored.
- The financial scope below covers the compensation clause; the employment clause concerns lost assignments.
Counts as supported if: Evidence establishes that more than half of the relevant creators received no training compensation and that substantial numbers of creators were already losing assignments.
Counts as contradicted if: Evidence establishes that at least half of the relevant creators received compensation, or sufficiently comprehensive employment evidence contradicts substantial losses of assignments.
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
Contemporary survey reporting supports the narrower statement that creators were reporting lost work. OpenAI also had licensing partnerships. Neither finding establishes what proportion of creators represented in its training data received payment. The compound claim therefore remains unresolved; partial support and missing evidence do not justify mixed.
Limitations
- The original survey page could not be read, so employment evidence comes from contemporary reporting.
- The compensation population and payment basis are not disclosed.
- Reported displacement is not a causal estimate of OpenAI's effect.
Evidence (3 items)
Context only: The Next Web,
said they’ve already lost work due to generative AI.
Why it matters here: Contemporary reporting supports the lost-work component through respondents' accounts. It does not identify whether those respondents supplied OpenAI training material, establish payment prevalence, or isolate OpenAI's causal contribution.
- Publisher
- The Next Web
- Kind of source
- News report
- Describes events of
- Public from
Context only: OpenAI,
publicly accessible content, licensed content
Why it matters here: OpenAI describes a mixture of sources. This earlier disclosure neither counts creators nor establishes how many received compensation.
- Publisher
- OpenAI
- Kind of source
- Company disclosure: the company describing itself, not an independent finding
- Describes events of
- Public from
Context only: OpenAI, reproducing the Financial Times announcement,
transparency, attribution, and compensation
Why it matters here: The licensing announcement is a material qualification to any suggestion that compensation arrangements did not exist. It does not contradict the narrower claim that most individual creators were unpaid.
- Publisher
- OpenAI, reproducing the Financial Times announcement
- Kind of source
- Company disclosure: the company describing itself, not an independent finding
- Describes events of
- Public from
What would settle it
A creator-level training-data inventory linked to direct and intermediary compensation, plus representative records of assignments lost by the post date.
Where it was said (1)
Said once in the sources this register covers.
: Marcus on AI, The Sam Altman Playbook
But wait, if he really believes in basic income for all, why is he fleecing artists, writers, and other creators, not paying a nickel (to most) for training materials? A lot of them are losing gigs.
- Where
- paragraph 35
- Published
- 2024-05-05
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment marcus-the-sam-altman-playbook-c1e7e9-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.