AI identity emergence is controllable, not automatic. R²=1.00 across 15 runs. Complete replication protocol. Challenges interpretability research.
About this article
I just published experimental research that challenges a core assumption in AI: that identity emergence is automatic and fixed. Using a two-phase experimental design, I demonstrated that AI identity is a controllable output variable, not an intrinsic property. Binary testing: perfect separation between control and constraint conditions (SD=0). Gradient testing: perfect linear correlation between delay parameter and identity position (R²=1.00, zero deviation across 15 runs). This has immediate...
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