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@AnachronistJohn@zia.io

Post #2725801

2025-02-08 19:17 UTC

@GrapheneOS@grapheneos.social @hipsterelectron@circumstances.run @jonny@neuromatch.social @nullagent@partyon.xyz "The app doesn't provide client-side scanning used to report things to Google or anyone else. It provides on-device machine learning models usable by applications to classify content as being spam, scams, malware, etc." Forgive me if I'm not understanding correctly, but to clarify: That statement could be misconstrued to suggest that "on-device machine learning models usable by applications to classify content" is different and distinct from "client-side scanning". To clarify, those're two ways of saying the same thing, with one being more specific. Do you really intend to just point out that it doesn't report things to Google or anyone else by default, and/or that the "client side scanning" is a scan-on-request thing, and not a let's-scan-the-whole-device-by-default thing? What's stopping any app from using the output of the "on-device machine learning models" to report to third parties?

Replies (1)

  • @AnachronistJohn@zia.io @hipsterelectron@circumstances.run @jonny@neuromatch.social @nullagent@partyon.xyz We're pointing out neither this app or Google Messages is using it to report something. It's also not scanning for illegal content. Apps also don't need this app to use local ML models. It only provides certain already made models. Apps have always been able to run local classifiers and can use hardware acceleration for it, which has been there for many years. It's not something which just showed up recently with the recent AI craze.

    Open ##2725808