Multigrid AI

Multigrid AI explains how graduate-level science benchmarks like GPQA are constructed, emphasizing the use of a non-expert baseline to make scores interpretable. The process involves domain experts wr…

A developer at Multigrid AI outlines a data-driven decision procedure for removing AI chatbots, arguing that the choice should be based on four metrics: containment rate, escalation quality, second-se…

Multigrid AI's guide on reading model release announcements critically categorizes claims into structural facts, benchmark numbers, qualitative capability claims, and comparative positioning, urging d…