Dietrich's persistent argument that creativity neuroscience is stuck and lost because it has perseverated on a paradigm — divergent thinking — that is theoretically incoherent and produces measurements of fluency rather than creativity.
Dietrich's divergent thinking critique is his most sustained methodological attack on the creativity neuroscience field. He argues that the dominant research paradigm — measuring creativity through divergent thinking tasks like the Alternative Uses Task (how many uses for a brick?) — measures fluency, not creativity, and that the neural correlates of fluency are distinct from the neural correlates of genuine creative breakthrough. The critique matters for AI discourse because the same divergent thinking paradigm is most frequently used to benchmark AI creativity. When researchers claim GPT-4 outperforms humans on the Alternative Uses Task, they measure a construct whose validity Dietrich has systematically dismantled — which means the AI may be highly fluent without being creative in any sense mapping onto the neural mechanisms producing genuine breakthroughs.
Divergent Thinking Critique
In The You On AI Field Guide
The Alternative Uses Task and similar divergent thinking measures count the number of unusual responses a participant produces in a fixed time. Higher counts score as