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.
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 haven’t seen any edge AI products yet; this is the first one.
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.
What does everyone think about this product?