  * I suspect many existing and reasonable regulations do not meet that "simply caught" classification. @rconti's comment above[1] gives some examples of regulations on process that are not observed in the output (food, child labor). I'll add accounting, information control (HIPAA, CUI, etc), environmental protections.

  * Newsroom staff is incentivized to enforce the regulation. It protects their livelihood. From the article: 
  > Notably, the bill would cement some labor protections for newsroom workers 

  * Mandatory AI labeling is not impossible to enforce. At worst, it requires random audits (who was paid to write this story, do they attest to doing so). At best, it encourages preemptive provenance tracking (that could even be accessible to the news consumer! I'd like that).

One reason for the regulation is we fear hallucinations slipping into the public record -- even if most LLM usage is useful/harmless. Legal restrictions ideally prevent this, but also give a mechanism for recourse when it does happen.

Say a news story goes off the rails and reports a police officer turned into a frog [2] or makes up some law[3]. Someone thinks that's odd and alerts whatever authority. The publisher can be investigated, reprimanded, and ideally motivated to provide better labeling or QC on their LLM usage.

[1]: https://news.ycombinator.com/item?id=46915463 [2]: https://www.wate.com/news/ai-generated-police-report-says-of... [3]: https://www.reuters.com/legal/litigation/judge-fines-lawyers...