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Short summary

A 2026 arXiv paper on 'algorithmic monoculture' shows that leading LLMs collectively cover only ~41% of the preference space humans span, with the remaining 59% not underrepresented but absent. As billions use overlapping models trained on similar corpora, human writing and thinking are converging toward a shared stylistic and ideological center. The effect is invisible at the individual level—each interaction feels helpful—yet profoundly consequential at population scale.

• •LLMs collectively span only ~41% of human preference space; 59% of human thought diversity is absent from model outputs
• •Algorithmic monoculture is invisible at individual level but statistically significant at population scale
• •Co-writing with any mainstream LLM collapses stylistic variance toward a common center regardless of provider

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