Data harvesting is not "inevitable". It's a design choice.
A note arguing that raw data should stay local while structured experience, not private exhaust, becomes the export surface for AI learning.
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A note arguing that raw data should stay local while structured experience, not private exhaust, becomes the export surface for AI learning.
A note that cost, heat, time, maintenance, and human bandwidth are the signals that determine whether long-lived AI survives contact with physics.
A note introducing VXCX v0.1 as an L2 protocol for sharing visual experience capsules without transmitting raw pixels by default.
A case that cost, heat, time, maintenance, and human bandwidth are the real signals that determine whether long-lived AI survives contact with physics.
A case that stable agent presence requires continuity, constraints, and durable audit trails rather than better chat alone.
A case that private AI should deliver consent-first utility and audited recommendations rather than ad-based chat.
A case that local AI cores and decentralized networks solve different layers of durable AI infrastructure and are strongest together.
A case that ASIC trends, decentralized AI, and private racks all point to stable cognitive infrastructure rather than benchmark-driven compute.
A case for private cognitive infrastructure at home built for continuity, stability, and long-lived local AI entities rather than gaming benchmarks.
A case that NVIDIA's cheaper inference, distillation, and specialized models support horizontal cognition for persistent entities like Ester.