this post was submitted on 24 May 2024
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[–] [email protected] 9 points 7 months ago (2 children)

Of course it's on-device. Microsoft is doing all the processing on people's PCs, rather than their own servers, where they'd have to pay for that computation.

Data still gets reported to MS afterwards.

[–] [email protected] 4 points 7 months ago (1 children)

It must communicate with Microsoft in a way, just by the fact the "AI" must not "hallucinates" by suggesting the user to jump from a bridge or to add Glue in his pizza...

[–] [email protected] 1 points 7 months ago

What is the bridge jumping bit about?

[–] [email protected] 2 points 7 months ago (1 children)

"On-device" has to be a half-true at best. I'm having a hard time believing that the NPUs on these new ARM chips are powerful enough for it to be fully on-device. Even more-so with "approved" x86 chips. There has to be some data sharing between the client and server, similar to how Rabbit does their shit.

[–] [email protected] 4 points 7 months ago

Look up TPUs, like a coral tensor. Extremely efficient at machine learning, only, and cheap. If NPUs use anything like a TPU, then it absolutely can do local "AI." Then once the heavy lifting is done, then I'd imagine all that data is uploaded.