Stop post-training for fixed prompt distributions — alignment's local minimum
vasuman · x · 2026-09-16
zerogoliath argues that if you expect ASI, post-training models to align to a given distribution of prompts/tasks is a local minimum for misalignment. To get aligned superintelligence that resists local optimization pressures, you have to "play Darwin" — introduce evolutionary-style selection pressures instead of fitting a fixed distribution.
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