It would also be useful for funding R&D into benchmarking models, which is currently mostly done by the labs themselves right now.

Ethan Mollick advocates for dedicated funding toward developing independent benchmarking systems for AI models, noting that evaluation is currently predominantly conducted by the labs that create the models themselves. He argues this creates a conflict of interest and that third-party benchmarking R&D would benefit the field by providing more objective performance assessments.

Source: Ethan Mollick (X) | 2026-05-05