"No AI" Statements Are Necessary and Useful

A July 2026 post by James Zhan answering orchids' "Are No AI Disclaimers Really Necessary?", which had argued three things: the burden of telling human from machine falls on the reader; if your work reads as AI-generated that's evidence it was weak to begin with; and a distinct voice is protection enough. Zhan disagrees with all three.

Handmade labels are older than the problem

Fancy kitchenware says "Handmade in [country]". Bakeries say "Homemade". Indie games and animated series state up front that every portrait was hand-drawn by one artist. These labels exist because nobody has ever been expected to look at a bowl and know whether a person threw it. The label carries information the object cannot.

Zhan's move is to note that AI put text, audio, and video into the same position machine manufacturing put physical goods, and then ask why the expectation should reverse: if you're never asked to identify handmade ceramics by eye, why should a reader be asked to identify human writing by eye?

Detection fails, and it fails in both directions

The evidence he assembles is mostly about false positives. There was a stretch where em dashes alone marked a text as AI-written — he writes about em dashes and got caught by it. His Reddit comments have been called ChatGPT output for being well-written and well-formatted. Feeding his own writing to AI detectors returns verdicts like "80% written by AI." Meanwhile r/isthisAI has millions of weekly visitors, which is the false-negative side of the same problem.

The tells change and thin out with each model release, so the reader is being asked to track a moving target. Some have given up and inverted the default: he quotes a Reddit comment reading "at this point i just assume unless the creator is screaming from the rooftops 'I HAND CODED THIS' its vibe coded." Zhan doesn't blame them. See ai-detector-arms-race for the mechanism and its worst consequence.

Against quality, voice, and style as the test

The paragraph he takes hardest is orchids' "If someone thinks my work is LLM-generated, then my work is probably shit and doesn't have a distinct voice… And it might as well be AI because the difference doesn't really matter at the end of the day."

Three problems with it. First, plenty of writing legitimately has no voice: dissertations are dry, user guides are deliberately flat, and technical writing is a discipline people study in order to write without those qualities. Second, quality is not the thing being valued. People pay for handmade goods knowing machine versions are often better made, because someone spent their time on it — a typo-ridden post from a language learner or a sleep-deprived new parent is worth something for the same reason. Third, the practical objection: voice and style are exactly the things a model can now produce on request, so building your defense on them means building it on the ground the machine is currently taking.

The strongest version of the point is a story. Zhan posted something detailed and well-formatted to a subreddit; an automated detector removed it. To get it through he had to cut the detail, strip the headings and bullets and italics, and rewrite it to read like someone thumbed it out on a phone. Quality had to be destroyed to prove humanity. This is the reductio: if surface quality is the test, the equilibrium is everyone writing worse.

What the marker actually does

Zhan concedes the obvious objection without much fight — a creator can lie, so the statement is not reliable information. His claim is that the label isn't primarily informational. Displaying it is the signal: it says the creator chose to spend the time when a shortcut was available, and takes pride in having made the thing. His blog footer has carried "100% written by James, not AI" since day one, and his email signature carries a version of it — "No, I'm not going to use AI for something as fundamental as communicating with fellow humans."

That reframing is what makes it a stance rather than a claim, and it's the same structural move as slop-marker-convention running in the opposite direction: when the property can't be recovered from the artifact, get it from the producer. Zhan's version declares human authorship; Woodruff's READMENOT declares machine authorship. Both work because the author is the only party who knows.

He closes on process: writers write and painters paint because they like doing it, and the audience values the result partly because a person went through that. Creators can't control what readers assume and shouldn't contort their work to avoid sounding like a machine — but they can say what they did and didn't use.

Where it sits

Against credibility-as-slop-test, which also gives up on surface detection but lands on a different answer — the author staking their name on the text, rather than a declaration of tooling. Zhan's version is cheaper and weaker: a footer line costs nothing and proves nothing, but it also doesn't require the reader to know who you are.

The institutional version of the same instinct is simonw-zig-anti-ai (Zig banning LLM-generated issues and PRs outright) and i-will-never-use-ai. Zhan is milder than either — he's not arguing nobody should use AI, only that people who don't should be able to say so.

Cross-references

• ai-detector-arms-race — why detection can't work, and the quality-degradation equilibrium
• human-made-disclosure — the marker as stance, and what it can and can't carry
• slop-marker-convention — the mirror-image convention
• llm-as-average-democratizer — why the effort signal collapsed in the first place
• anti-llm-discourse — where this sits in the broader map