As a non-repentant digital hoarder, I struggle with organizing data, and especially, managing the various ways to identify things using multiple, overlapping criteria.
This seems to suggest that their on-the-edge [proof needed :)] ML model helps with that.
Given that a NAS quite frequently has multiple, independent users' data, segmenting the model's learning sources and attendant suggestions is an interesting challenge.
I am assuming/hoping this incorporates something like an nVidia Jetson.
I am, however, quite pessimistic, that this NAS stays ub-enshittificated. (Un-shittified?).
A neat possibility would be to (notwithstandkng the privacy implications) is to use the NAS-level checksumming of files, something like SHA-256 or even MD5, and cross-check with known kaka files to detect backups of infected things.
Buuut, sunce this reminds me of the whole apple CSAM fiasco, so not likely.
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[ 3.0 ms ] story [ 25.0 ms ] threadThis seems to suggest that their on-the-edge [proof needed :)] ML model helps with that.
Given that a NAS quite frequently has multiple, independent users' data, segmenting the model's learning sources and attendant suggestions is an interesting challenge.
I am, however, quite pessimistic, that this NAS stays ub-enshittificated. (Un-shittified?).
A neat possibility would be to (notwithstandkng the privacy implications) is to use the NAS-level checksumming of files, something like SHA-256 or even MD5, and cross-check with known kaka files to detect backups of infected things.
Buuut, sunce this reminds me of the whole apple CSAM fiasco, so not likely.