Something is deterministic if given the same conditions and inputs it produces the same output.

If you give an LLM the same parameters, seed, and prompt, it will produce the same output.

That’s certainly deterministic. As deterministic as any other procedural generation of content.

Good tools have many properties LLMs lack - they are predictable, reliable, deterministic, of bounded function, hopefully simple etc.

These are all things that LLMs have but are typically stripped or hand-waved away for the sake of convenience or ease of use.

Predictability? Reliability? Deterministic, bounded function? The same seed pushed through a model’s weights ends with the same output. You can change the behavior for how the weights are processed, what tokens are more important than others, etc.

Simple they are not and likely won’t be, but most models are way more controllable than most people realize. The problem is the thing that makes them interesting in novel isn’t what we can control about them, it’s about what’s not controlled. The fact that they can produce seemingly novel information is the thing everyone wants to sell, and what everyone thinks they want to buy.

AI (in as far as an LLM is concerned) is a tool being sold, bought, and discussed as if it was something more than what it is, and articles like this don’t help the fantasification and anthropomorphization of them.

Usually to make numbers bigger you have to hit the little plus sign then hit another number

I think beeper plus has a bunch of integrations, I wouldn’t be surprised if that included LLMs

You can use matrix to bridge all those to an internal matrix server.

If you want a solution where that’s pretty much already done you can try Beeper

Why are all these pills shaped like suppositories

The program I use with WINE requires network access to authenticate and because it was for audio production, it had access to my filesystem for samples.

Ten bucks says you downloaded a compromised VST.

For those interested:

Pangolin

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They said they can’t do that in the article:

but at the same time, we cannot ‘take over’ the application identifiers for the open-source apps we distribute, as that would effectively seize exclusive distribution rights to those applications

They’re both “immutable” in the sense that they’re setting up either read-only Filesystem Hierarchies (as in bazzite, which uses ostree) or Symlinking their entire filesystem hierarchy to a read-only “store” (as in nixos).

Bazzite uses something called ostree to “diff” the filesystem hierarchy much like git does, while Nix basically makes giant read-only store of files and hashes them, then weaves them all together into a “view” of a filesystem that gets symlinked into the context of a running program.

A real flatpak cake would come wrapped in the oven used to bake it.

And then when those AI also have issues do we use the AI to check the AI for the AI?

If you’re putting in that much work, please submit those edits to musicbrainz! We need all the help we can get 😭

As a musicbrainz editor, don’t depend entirely on Picard and musicbrainz for correct tagging either cause shit isn’t as well curated as you think.

You need to encode the metadata in a standard way, encode new data that shows up in a standard way, and various people can add more metadata to files: think like Posix ACLs or the immutable flag or whatever.

Nix actually invented a fork of tar specifically for this called “normalized archive” or “Nix Archive” or nar. Guix uses this too:

https://releases.nixos.org/nix/nix-2.22.0/manual/protocols/nix-archive.html

“here is a checksum of my /usr/lib folder, if yours differs from mine I can’t provide installation support”

Hey, Guix user here, I…if you want we… We could recommend to each other…

Is this just hosted nextcloud with collabora office pre installed?

Shepherd my love!

I’ve used SystemD for years and the pure joy writing system initialization units in Scheme gives me can’t be overstated.

Seriously, a lot of times I feel like I stick with Guix’s many problems just for shepherd.