Source: Nature
Researchers are adopting on-device language models to query scientific literature, sidestepping the privacy and cost overhead of cloud-based search. The shift reflects friction with OpenAI and Google's API pricing and data retention policies. Control of the researcher-to-knowledge pipeline moves from centralized vendors back to individual institutions and labs, pressuring publishers like Springer and Elsevier to unbundle their indexing services from proprietary interfaces.