Coverage-driven alignment – What ‘Teaching Claude Why’ can borrow from AV verification

Summary: This post suggests that alignment training could benefit from coverage-driven verification. Anthropic recently reported that teaching Claude alignment rules (via pretraining-style next-token learning on alignment-related stories) is more effective than relying primarily on RL-style behavioral shaping. Some AV developers reached a related conclusion, but in addition tend to use a systematic, coverage-driven methodology for … More Coverage-driven alignment – What ‘Teaching Claude Why’ can borrow from AV verification

Misc stuff: The verification gap, ML training and more

This post covers recent updates in machine learning, autonomous systems and verification. It has four sections: Automation / ML keep accelerating, but verification of automation / ML seems to lag behind HVC is coming, and I plan to attend (and even present) The idea of training an ML-based system using synthetic inputs (which I like) … More Misc stuff: The verification gap, ML training and more