This is a great point about tag maintenance *if you have to make the tags yourself*. However, if you have a simple ML system that you can run to categorize your files and pull out good single word descriptors that have a large explained variance over your files, you can run this and check the tags that are constructed.
I think there's a good way forward that uses typical hierarchical Johnny.Decimal filesystems, with an overlay filesystem with tags that can update the tags every so often based on the content in the files. Obviously letting the user have a hand in this via a TUI/gui would be helpful for choosing tags for which they're comfortable.
Unfortunately I haven't settled on a good filesystem with tags (how to do this with ZFS?) or how to interact with it as a network filesystem served to many different OS (cifs with tags?).
It doesn't seem to me like a simple ML system, it needs to be able to extract tags from all kinds of filetypes (video, games, images, assets, text, ...), at a decent speed and then it has to assign tags to what you would also assign, because if it doesn't do that then it's even worse, because you can never find anything as your mapping and the ML mapping would not be the same.
I think there's a good way forward that uses typical hierarchical Johnny.Decimal filesystems, with an overlay filesystem with tags that can update the tags every so often based on the content in the files. Obviously letting the user have a hand in this via a TUI/gui would be helpful for choosing tags for which they're comfortable.
Unfortunately I haven't settled on a good filesystem with tags (how to do this with ZFS?) or how to interact with it as a network filesystem served to many different OS (cifs with tags?).