AI 2040 proposes disclosure of model capabilities and limits on internal-use advantages

AI 2040 proposals would require laboratories to disclose model specifications, the share of computing resources devoted to internal AI use, and qualitative descriptions of how powerful models are deployed internally.

The proposals would also limit the gap between a laboratory’s best internally deployed model and the products available to customers. Supporters argue that businesses and users should compete on more equal terms, although the materials do not specify how regulators would measure model quality or the acceptable gap.