3 papers
cs.CY2026
Open at the Edge, Captured at the Center: llama.cpp and the Political Economy of Local AI Inference
Woohyeuk Lee, Hanlin Li, David Gray Widder
Critical scholarship on open AI has focused on model releases and cloud ecosystems, leaving the local inference infrastructure that makes open-weight models runnable on user-owned…
cs.HC2026
Open AI in the Wild: Adoption and Adaptation of Open Models on r/LocalLLaMA
Woohyeuk Lee, James Howison, Min Kyung Lee +1
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 underst…
cs.CY2026
Reimagining Open Source and Openness in AI: Co-Creating Responsible Technological Futures
Genevieve Smith, Hiral Patel, Steven Luo +20
Debates over open source and openness in artificial intelligence have intensified as policymakers, researchers, and practitioners grapple with how foundation models should be devel…