Researcher Proposes 'No Magic OOD' Principle to Expose Flaw in Alignment Plans

A researcher proposed the 'no magic OOD' principle, arguing that many alignment plans rely on a hidden 'magic OOD step': training on verifiable data while hoping it generalizes to unverifiable goals, often disguised by defining a broad distribution that makes out-of-distribution training look like i.i.d. learning.

2026-09-25 ~ 2026-09-25 · 2 related posts