The paper defines self-identity as a continuous mapping over a connected memory continuum and reports that LoRA fine-tuning on synthetic memories increases a GPT-4o-mini-judged self-awareness score, but the mathematical theorem is circular and the metric is a proxy for self-report.
Self-aware neural network systems: A survey and new perspective.Proceedings of the IEEE, 108(7):1047–1067, 2020
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Emergence of Self-Identity in AI: A Mathematical Framework and Empirical Study with Generative Large Language Models
The paper defines self-identity as a continuous mapping over a connected memory continuum and reports that LoRA fine-tuning on synthetic memories increases a GPT-4o-mini-judged self-awareness score, but the mathematical theorem is circular and the metric is a proxy for self-report.