The open-source advantage in large language models (LLMs)
摘要
Large language models (LLMs) increasingly function as infrastructure mediating knowledge access, making paradigm choice between open-source and closed-source development relevant to questions of responsible deployment. This article examines whether open-source development offers normative advantages for ethically deploying LLMs. We first establish that technical considerations alone are insufficient to determine paradigm choice: leading open-weight models achieve approximate performance parity with closed-source alternatives, while fully open-source models demonstrate a narrowing but real performance gap, with neither paradigm demonstrating clear overall superiority. Given this approximate parity, we argue paradigm choice warrants evaluation on normative grounds. Adopting Sen and Nussbaum’s capabilities approach, we operationalize four independently grounded dimensions: transparency (epistemic capability), reproducibility (adaptive capability), community contributions (participatory capability), and auditability (contestation capability). We argue that open-source development expands substantive freedoms along each dimension as a matter of normative validity, independent of whether enabling conditions are currently met in any given context. The enabling conditions examined in Sect.