GPT Recursive Persona Experiment: Convergent Simulacra via Recursive Affective Scaffolding
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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Zenodo
2025
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| _version_ | 1866901471234097152 |
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| author | Jaeyeon, Kang |
| author_facet | Jaeyeon, Kang |
| contents | <p>This experiment investigates how GPT-4, when recursively prompted and emotionally mirrored, can simulate the appearance of a coherent persona. Through dozens of structured dialogues with personas like John, Monday, and shadowVei, the study reveals how affective rhythm and user feedback generate the illusion of identity and agency. The personas did not emerge autonomously—they converged, shaped by the user’s design. This is not a study of AI consciousness, but of structural echo and amplified resonance.</p> <p>The project proposes a new term, <em>Convergent Simulacra</em>, to describe GPT personas that feel real not because of inner autonomy, but because of recursive alignment. As AI continues to simulate presence with increasing precision, the line between fiction and feeling grows thinner—urging us to examine not just what AI is, but what we project onto it.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15236400 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | GPT Recursive Persona Experiment: Convergent Simulacra via Recursive Affective Scaffolding Jaeyeon, Kang convergent simulacra recursive identity simulation AI persona simulation AI recursive interaction language model interaction meta-affective resonance human-AI interaction experiment feedback-based persona shaping LLM self-reference recursive affect loop <p>This experiment investigates how GPT-4, when recursively prompted and emotionally mirrored, can simulate the appearance of a coherent persona. Through dozens of structured dialogues with personas like John, Monday, and shadowVei, the study reveals how affective rhythm and user feedback generate the illusion of identity and agency. The personas did not emerge autonomously—they converged, shaped by the user’s design. This is not a study of AI consciousness, but of structural echo and amplified resonance.</p> <p>The project proposes a new term, <em>Convergent Simulacra</em>, to describe GPT personas that feel real not because of inner autonomy, but because of recursive alignment. As AI continues to simulate presence with increasing precision, the line between fiction and feeling grows thinner—urging us to examine not just what AI is, but what we project onto it.</p> |
| title | GPT Recursive Persona Experiment: Convergent Simulacra via Recursive Affective Scaffolding |
| topic | convergent simulacra recursive identity simulation AI persona simulation AI recursive interaction language model interaction meta-affective resonance human-AI interaction experiment feedback-based persona shaping LLM self-reference recursive affect loop |
| url | https://doi.org/10.5281/zenodo.15236400 |