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The author introduces a novel approach for AI agents called ADHD, using parallel divergent ideation to enable non-linear thinking inspired by ADHD minds, though with higher cost and latency, and releases it as open source.
A researcher proposes a method called 'ADHD - Parallel Divergent Ideation' that uses tree-of-thoughts to give AI agents divergent thinking, inspired by ADHD, but with significant trade-offs in cost and speed. The project is open-source.
This paper systematically evaluates human creativity tests for LLMs and finds they fail to predict scientific ideation. It introduces the DRAT, a new test that combines convergent and divergent thinking to reliably predict scientific ideation ability in language models.