Humans: reality sampling accessory mechanism for discerning AIs. Each good for a 80-100 design life. 5-sensor fusion hybrid datastream from a mobile, actively reorienting survival-solving form factor. In-built networking and Dunbar-redundant sampling RAID-tribe configurability
Conversation
This is actually the best use case for most humans. As computing clients they are pretty terrible, and their only redeeming value is network-edge situated low-latency computing. It is low-power reality embedded computing.
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i hesitate. in our domestication we've become fragile! maybe we need to shock the system to rebuild some stuff up and down the chain, every so often, like that temple that they rebuil every year in japan, just to keep things healthy.
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"Look! If everybody needs a mansion so I can HAVE one, then get them their mansions! "


