California’s AB 2013 requires developers of covered generative AI systems available to Californians to publish a high-level summary of training datasets. It does not require the corpus, model weights, source code, training recipes, document-level manifests, exact source lists, or technical methods. In X.AI LLC v Bonta, xAI challenges this obligation on three constitutional grounds: First Amendment compelled speech, Fifth Amendment uncompensated taking of trade secret property, and Due Process vagueness. This paper argues that the brief’s three theories rest on doctrinal extensions the authorities cited do not support, and that the trade secret claim in particular rests on a category error. The paper’s principal original contribution is a three-layer analysis of the trade secret claim. It distinguishes the underlying knowledge commons from which training material is drawn, the categorical enclosure relationship AB 2013 actually requires disclosing, and the technical apparatus in which proprietary value most plausibly resides. AB 2013 reaches only the second layer; trade secret protection is doctrinally strongest in the third. Ruckelshaus v Monsanto, Philip Morris v Reilly, and California compilation trade secret doctrine do not extend protection from the third layer to the second. The First Amendment claim is best analyzed under Zauderer–Central Hudson–Stolfi as factual commercial disclosure, though current Supreme Court doctrine leaves the classification uncertain. The vagueness claim is xAI’s strongest argument, but the proportionate remedy is narrowing construction or safe-harbor guidance, not facial invalidation. The paper’s broader theoretical contribution extends the capture of answerability framework from administrative to constitutional tier. xAI’s three theories, in combination, would foreclose the legal authority from which future AI training-data accountability could be built. AB 2013 demands a webpage. X.AI v Bonta asks whether even that documentary floor may be required.
Peter Kahl (Mon,) studied this question.