Proposed rules would force big-model makers to publish their data sources, eval results, and limitations. Supporters want accountability; smaller labs worry about the paperwork.

A draft proposal would require providers of large general-purpose models to disclose training data sources, evaluation results, and known limitations. Backers call it a baseline for accountability; critics warn the reporting burden falls hardest on smaller labs.