Researcher: Aligning One Model Doesn't Align All, Fast Uncontrolled Release May Have Been Better
gandamu_ml · x · 2026-09-11
- In an alignment debate, the author argues everything other than ML needs to get more robust: aligning one model doesn't align all models, and training or retraining models only gets easier.
- He adds a contrarian take: releasing everything ASAP without controls — letting everyone watch the gradually increasing capacity for trouble — might have been the more effective safety strategy so far.
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