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> On the downside, we have to acknowledge that it is hugely inefficient for everyone to own expensive hardware that has to sit idle most of the time Expensive

> On the downside, we have to acknowledge that it is hugely inefficient for everyone to own expensive hardware that has to sit idle most of the time Expensive hardware like millions of 5G/6G modems, stations and fiber optic cables nessesary to send vast quantity of photos and videos to the cloud for analysis? ait is more expensive to build out bandwidth than to give everyone compute Also average car is unused 95/% of the time, so by this principle everyone should take a bus

fauigerzigerk 4y ago
>ait is more expensive to build out bandwidth than to give everyone compute I'm not sure about that. Storing all data on all devices (not just user data but also the pretrained models) means higher data transfer volumes. On the other hand, syncing data doesn't require low latency and a lot of the data can be transferred over cheaper landline connections rather than mobile towers. Right now though the default appears to be to upload everything to the cloud right away, regardless of where the data is processed. And there's also communication and media streaming, which consumes the vast majority of network resources. Net net I'm not sure whether on-device vs cloud processing will make a big difference for networking costs one way or another. >Also average car is unused 95/% of the time, so by this principle everyone should take a bus Yes, and it is hugely inefficient. People who own a car (I don't) are doing it for the benefits it has, not because it's efficient.
gurleen_s 4y ago
> Also average car is unused 95/% of the time, so by this principle everyone should take a bus That’s exactly right.