{"id":"ai-fluency","title":"A paradox of AI fluency","authors":[{"given":"Christopher","family":"Potts"},{"given":"Moritz","family":"Sudhof"}],"first_public":"2026-04-28","date_note":"First arXiv version.","date_source":"https://arxiv.org/abs/2604.25905","year":2026,"venue":"arXiv preprint","paper_url":"https://arxiv.org/abs/2604.25905","arxiv":"2604.25905","category":"behavior","relationship":"uses","dataset_version":"27,000 English transcripts sampled across 27 months from the non-toxic WildChat-4.8M release, with separate analyses of recurring Midjourney and Blockman interaction clusters.","summary":"Relates inferred AI fluency to task complexity and conversational outcomes. The study compares active iteration, critical evaluation, and passive acceptance, and examines how these behaviors relate to visible and invisible failures.","finding":"More fluent users attempt harder tasks and show more visible failures, yet achieve greater success on complex work; less fluent users more often have failures without overt negative feedback.","evidence_url":"https://arxiv.org/html/2604.25905v1","evidence_note":"Sections 3–5: monthly sampling, cluster handling, model-assisted annotation, and outcome analysis.","bibtex_key":"aifluency2026","record_url":"https://yuntiandeng.com/wildchat/papers/ai-fluency/","relationship_label":"Uses WildChat","citation_title":"A paradox of AI fluency","citation_type":"article-journal","bibtex_type":"misc","citation_url":"https://arxiv.org/abs/2604.25905","citation_year":2026,"citation_note":"arXiv preprint.","doi":"10.48550/arXiv.2604.25905","code_url":"https://github.com/bigspinai/bigspin-fluency-outcomes"}