{"paper":{"title":"Open AI in the Wild: Adoption and Adaptation of Open Models on r/LocalLLaMA","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Hanlin Li, James Howison, Min Kyung Lee, Woohyeuk Lee","submitted_at":"2026-06-20T20:14:32Z","abstract_excerpt":"Existing work on AI openness has focused on defining what technical components or release practices qualify a system as \"open\". However, less is known about how openness is understood and put into practice by people who adopt and adapt these models under real-world constraints. In this paper, we present an empirical study of r/LocalLLaMA, a large online community centered on running and customizing open foundation models locally. Through thematic analysis of community discussions, we find that members conceptualize openness pragmatically - in relation to reliability, local control, privacy, an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.22211","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.22211/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}