AutoPersonas: A Multi-Timescale Loop Engine for Open-Ended Persona Evolution

Long-term persona agents must remain identifiable while adapting to new events, relationships, evidence, and social conditions. We identify self-locking as a runtime failure mode in continuing persona-life loops: locally plausible events keep appearing while the generated life collapses toward familiar environments, weak relationships, suspended decisions, and stale life stages. We trace this failure to model-level convergence toward high-probability behavioral channels and system-level context

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ethics.ai (9 July 2026), “AutoPersonas: A Multi-Timescale Loop Engine for Open-Ended Persona Evolution,” evidence record 96, https://ethics.ai/record/96 (originally published by arXiv).

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