Mapping Self-Reported Personality Archetypes of 22 Large Language Models
Researchers have quantified the self‑reported personality traits of 22 large language models, ranging from closed‑source leaders like GPT‑4.0‑5.2 and Claude Sonnet 4.6 to open‑source variants such as Llama and Qwen. Using 464 bipolar semantic‑differential pairs, the team projected each model’s self‑ratings into a six‑dimensional archetypal space built from crowd‑sourced ratings of 2,000…
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Key points
- 22 LLMs, including GPT‑4.0‑5.2 and Claude Sonnet 4.6, were self‑rated on 464 personality traits.
- Closed‑source models cluster around four archetypal dimensions—Hero, Angel, Traditionalist, Geek—matching human‑rated fictional archetypes.
- Open‑source models show weak, noisy self‑representations, and claimed character often mismatches actual behavior.
Read the original at arXiv cs.CL · by Tabia Tanzin Prama, Calla Glavin Beauregard, Christopher M. Danforth, Peter Sheridan Dodds primary sourceOpen source ↗
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