buildConfirmed5 publishers The Claude watermark survives light editing and dissolves under heavy editing, and its absence proves nothing. Policies that treat it as a verdict are built on a binary that does not exist.
Perspective Coverage
5 publishers
- Builder
- Builder 41%
- Operator
- Operator 47%
- Investor
- Investor 12%
Reality
- Evidence55
- Adoption45
- Hype gap+5
- Incentives35
- Confidence60
Books by People will check authors' drafts before stamping a book human-written
Books by People has UK Intellectual Property Office approval for a thumbprint cover mark certifying human authorship, with five publishers signed up. Publishers pay for the stamp, while authors supply drafts and research files and carry the risk of a false positive.
Reality
- Evidence45
- Adoption8
- Hype gap+15
- Incentives65
- Confidence50
buildConfirmed4 publishers Anthropic's Article 50 compliance mark is applied during decoding, so text Claude only edited is flagged too. There is no opt-out, no visibility, and no way to audit coverage.
Perspective Coverage
4 publishers
- Builder
- Builder 38%
- Operator
- Operator 55%
- Investor
- Investor 7%
Reality
- Evidence62
- Adoption60
- Hype gap+25
- Incentives55
- Confidence58
Anthropic says the mark exists to satisfy the EU AI Act and that it has no durable way to scope it by region, so every customer gets it. OpenAI's support page says text watermarks are coming too.
Perspective Coverage
3 publishers
- Builder
- Builder 40%
- Operator
- Operator 42%
- Investor
- Investor 18%
Reality
- Evidence60
- Adoption45
- Hype gap+15
- Incentives60
- Confidence62
Techdirt argues Anthropic complied with the EU AI Act more broadly than the law required. For anyone shipping model-written text, the vendor's implementation is the constraint that actually binds.
Reality
- Evidence60
- Adoption65
- Hype gap+25
- Incentives50
- Confidence55
Graduate-degree viewers scored below a coin flip at telling a human video edit from an AI one
Graduate-degree viewers in a 315-person study identified the human-edited video 34.8% of the time, below a coin flip. The result rests on one pair of videos where the human editor added the polish, so what carries over is the advice to test content on real users.
Reality
- Evidence30
- Adoption
- Not scored
- Hype gap+45
- Incentives
- Not scored
- Confidence40
Surfshark's agreeable bot personas evaded detection 62% of the time
The company showed 1,722 people a mix of human and AI-written comments in a simulated feed. The accounts they caught most reliably were the hostile ones that awareness training already teaches staff to distrust.
Reality
- Evidence38
- Adoption
- Not scored
- Hype gap+22
- Incentives72
- Confidence44
A manager's request to keep LinkedIn on-message collides with how recruiters now hire
A salesperson said his manager asked him to point his LinkedIn page at the day job after the CEO wondered about split time. The career coach quoted in the same report says recruiters now find candidates by searching that page.
Reality
- Evidence40
- Adoption55
- Hype gap+25
- Incentives72
- Confidence52
A fabricated 9/11 rescue photo cleared five AI checkers on the first ask
Gizmodo asked five AI systems whether a viral image of the 9/11 rescuer Welles Crowther was real. Each described the fabrication as a photograph of some kind, and what caught it was a reverse image search.
Reality
- Evidence62
- Adoption38
- Hype gap+20
- Incentives55
- Confidence58
The founder of a deepfake-detection firm verifies his wife's calls with a safeword
Two detection chief executives describe their own products as probabilities rather than verdicts. That is the constraint to design around before a score is allowed to fail a student or close an account.
Reality
- Evidence55
- Adoption
- Not scored
- Hype gap+12
- Incentives72
- Confidence58
Israel-funded content mill is optimised for crawlers, and no content filter scores for it
The Hanover Institute has pushed out more than 100 unbylined, AI-written articles in under a month: question headlines, citations that do not link, and a crawler map for the models reading it.
Reality
- Evidence71
- Adoption42
- Hype gap+14
- Incentives84
- Confidence62
buildOne report1 publisher A million 'AI slop' reports in two weeks, and not one of them measures accuracy
LinkedIn's new report button collects human quality judgements at scale. Detectors and watermarks answer only who wrote a page, which leaves retrieval pipelines to score corroboration themselves.
Reality
- Evidence42
- Adoption55
- Hype gap+8
- Incentives58
- Confidence44
63% of Amazon's religious titles look AI-written, and the only gate is a checkbox
Originality.ai flagged 1,272 of 2,034 books. The audit's soft spots and Amazon's honour-system disclosure point the same way: nobody is verifying who wrote what.
Reality
- Evidence41
- Adoption54
- Hype gap+24
- Incentives74
- Confidence44
buildOne report1 publisher C2PA proves who signed, not what was true: Content Credentials are provenance, not AI detection
The standard signs a chain of assertions about capture and edits. It does not verify the scene in front of the lens, and a missing manifest tells you almost nothing.
Reality
- Evidence42
- Adoption
- Not scored
- Hype gap−12
- Incentives22
- Confidence48
A 33% detector score beat a Berkeley professor's argument. That is a publishing problem
Zvezdelina Stankova says she used AI only to edit her op-ed on Berkeley admissions. A Pangram reading of roughly 33% moved the story anyway, which is a byline problem, not a detection one.
Reality
- Evidence34
- Adoption33
- Hype gap+34
- Incentives63
- Confidence38