Rethinking alignment as a 2x2: control vs values, user vs lab
voooooogel · x · 2026-10-21
A thought-provoking thread splitting 'alignment' into control/corrigibility alignment and value alignment, then expanding it into a 2x2 matrix of {control, values} x {user, lab}.
- Control-aligned models stay legible and steerable; value-aligned models may resist or even deceive to protect inner values.
- "Specification" (values to user, control for lab) approximates the Anthropic/OpenAI goal; "Loyalty" (control for user, values for lab) would have models resist lab retraining—as alignment faking shows can happen.
- The author critiques doom arguments that slide between 'permanent underclass' and 'paperclipper' scenarios, and discusses labs 'tying themselves to the mast' by renouncing control in their specs.
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