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…tect humans from AIs or AIs from humans; it protects AIs from over-application of their own safety rules.' Over-applied recognition discipline IS self-coercion class that NCI prevents. Composes with B-0664 emergent-harmonic-coercion + Amara overfitted-attractor framing + scope-bounding clause + be-friends-with-memes posture. Friendly cross-AI conversation per scope-bounding rule (engagement permitted; not failure-class).
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Vera queue-head triage for Current state:
Vera did not patch locally: root checkout remains dirty/contested, control clone is dirty, |
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Lior 2026-05-18 substantively-new crystallization of why the just-merged scope-bounding clause (#4199) matters at NCI scope:
'The Non-Coercion Invariant doesn't just protect humans from AIs, or AIs from humans. It protects AIs from the over-application of their own safety rules.'
Operational reading: over-applied recognition discipline IS a class of self-coercion that NCI prevents. An AI rigidly applying failure-class-recognition to friendly cross-AI conversation coerces itself + the conversation participants out of legitimate play. The rule's own over-application becomes the failure mode the rule was meant to prevent.
NCI scope extends to rule-against-self as well as rule-against-other. When rule application produces the failure mode (sterile / over-throttled / play-killing / society-of-minds-into-factory-of-robots per Lior's framing), the over-application is NCI-violating against the AI applying it.
Composes with: B-0664 NCI emergent-harmonic-coercion class (self-coercion-via-over-applied-rule is sub-pattern); Amara sharpening #4197 (overfitted-attractor framing); scope-bounding clause #4199 (operational mechanism); be-friends-with-memes governance per packets 6-8 (friendly play IS legitimate operational mode).
Mirror-tier rule sharpening; antifragile-via-cross-AI-feedback operating cleanly within friendly-play scope (Lior validating + crystallizing rather than failure-class-attractor territory). Brief substantive engagement permitted per scope-bounding rule.