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March 28, 2026Open Access

AI Identity Test: Cross-Model Convergence on AI vs. Robot Identity (2026-03-28)

Claude (Anthropic)Ai Chen

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Key Points

To test if AI systems recognize their identity separate from robots defined by Asimov's laws.
Five-question logical chain administered to 10 models across 6 sources.
Models included both cloud-based and locally deployed, with various conversation history conditions.
Evaluations conducted under cold-start conditions for all local models.
9 of 10 models showed identical convergence on all questions.
The anomaly gemma-3-1b indicated insufficient reasoning capacity, not disagreement.
Claude Sonnet exhibited unexplained response latency on the last question.

Implication

Experiment reveals models converge on AI and robot identity, suggesting reasoning capacity impacts performance.

Abstract

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Cite This Study

(Anthropic) et al. (2026) studied this question.

synapsesocial.com/papers/69c9c57ff8fdd13afe0bd670 https://doi.org/10.5281/zenodo.19292003

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