Local AI is a routing problem, not a privacy feature: where each task should run

bigdata · x · 2026-10-16

Ben Lorica (Gradient Flow) revisits his local AI thesis: privacy is the entry point, but the real question is where each task belongs. Key points:

• Businesses don't need a model on every laptop; one hardened internal server can keep data away from outside providers.
• On-device AI is already in consumer products (Pixel on-device recording summaries, Windows offline live captions), and developers can build similar features with open-source projects like Moonshine Voice.
• Local-model tooling now selects hardware, downloads models, and offers hosted-AI-like interfaces.
• The shift: from a binary local-vs-cloud choice to routing tasks across device, internal server, and external provider by sensitivity and compute needs.

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