A new approach to AI, termed "local-first AI," prioritizes keeping data on a user's device rather than relying solely on cloud servers. This design philosophy, borrowed from software development, offers benefits like offline functionality, enhanced data security through reduced custodians, and greater control over data residency—important considerations for compliance and privacy. While running AI models locally presents hardware limitations, a hybrid approach combining local data storage and remote model processing is increasingly common.
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