AI models think humans are a bunch of amoral sheep
AI analytics firm ModelCompare asked 12 different large language models their assessment of human nature and intelligence. All 12 models from labs across three countries reached similar conclusions: humans prioritize tribal belonging over truth, rationalize decisions post-hoc, and use moral language strategically rather than consistently. The findings highlight potential biases embedded in AI training data and model outputs when discussing human cognition.
Key points
- 12 LLMs unanimously rated humans as irrational and tribalistic
- Models said humans prioritize belonging over truth-seeking
- Raises questions about AI training data and embedded biases
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