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Local AI Gains Cloud Terrain for Privacy, Costs and Reliability
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A software developer argues that many artificial intelligence functions should not depend on remote servers, but run directly on the user’s device. The argument combines privacy, less technical complexity, cost savings and a more practical view of what type of AI the cloud really needs. *** The central thesis argues that sending user data to external providers converts simple functions into more fragile and expensive distributed systems. The cas…
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