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Strong framing. Treating intelligence as multi dimensional instead of a single score is the right approach. One path that feels underexplored is personal AIs that run fully on the individualβs own hardware, trained primarily on their own data and history. The machine adapts to the person, rather than the person adapting to a centralized model. This keeps agency local, reduces power concentration, and creates a form of human AI integration that doesnβt require giving up control. Curious how you weigh this kind of personal sovereignty against more centralized AGI paths
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