A large-scale study led by Professor Karim Jerbi and published in Scientific Reports on January 21, 2026 compared leading LLMs (including GPT-4, Claude, Gemini) with over 100,000 human participants on divergent creativity tasks. Researchers found some models now exceed average human scores on the Divergent Association Task and creative-writing tests, but the top 10% of human creators still outperform all tested models; creativity is also tunable via temperature and prompting.
Key Points
- 1Shows some LLMs (e.g., GPT-4) outperform average humans on divergent creativity tasks.
- 2Finds top human creators (top 10%) still surpass every tested AI model in creativity.
- 3Demonstrates AI creativity is adjustable via temperature and prompt framing, enabling controllable outputs.
Scoring Rationale
Large peer-reviewed, large-sample study showing LLM parity with average humans; limitation remains human peak superiority.
Sources
Public references used for this report.
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