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ModelCompare experiment finds 12 AI models largely agree humans prioritize belonging over truth

ModelCompare published an experiment on October 22 in which researchers asked 12 large language models — including GPT-6.1 Sol, Grok 4.7, Gemini 4 Argon, DeepSeek V4 Pro, and Claude Opus 5.5 — to give their most controversial opinions about humans. Each model answered the same prompt three times, producing 35 total responses. Twenty-nine of those responses converged on the same theme: humans…

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Key points

  • 29 of 35 responses from 12 models said humans prioritize belonging over truth
  • Grok 4.7: "Humans would rather be wrong together than right alone"
  • Image generators focused on humans as tech-obsessed consumers damaging the planet

Claude Opus 5.5 diverged in one of its three responses, suggesting humans are kinder and more decent than they believe, though it echoed the majority view in its other two answers. Mistral Large 4 called human consciousness an evolutionary malfunction. The researchers also prompted six AI image generators; ten of twelve images depicted humans as technology-obsessed consumers harming the planet, a theme absent from the text models' answers. The article notes the experiment is not scientific proof: the prompt was deliberately provocative, responses were grouped manually, the sample was small, and models may simply reproduce patterns from training data about how humans describe themselves.

Model pages: GPT-6.1 Sol → · Grok 4.7 → · Gemini 4 Argon →

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  1. ModelCompare experiment finds 12 AI models largely agree humans prioritize belonging over truththis story
Full story from tech.yahoo.com · by Amanda Caswell · via Search: ClaudeOpen source ↗

12 AI models were asked what they really think about humans — and almost all agreed on one uncomfortable truth

tech.yahoo.com · 25 October 2026

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This text was published by tech.yahoo.com and written by Amanda Caswell. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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