thatsnothowyoudoit

Really?

I read your reply as saying the output is (can be) libellous - which it cannot be because it is not based on a dataset which resolves to anything absolute.

Maybe we’re just missing each other - struggling to parse each others’ output. ;)

Surely you jest because it’s so clearly not if you understand how LLMs work (at the core it’s a statistic model - and therefore all approximation to a varying degree).

But great can come out of this case if it gets far enough.

Imagine the ilk of OpenAI, Google, Anthropic, XAI, etc. being forced to admit that an LLM can’t actually do anything but generate approximations of language. That these models (again LLMs in particular) produce approximations of language that are so good they’re often indistinguishable from the versions our brains approximate.

But at the core they cannot produce facts because the way they are made includes artificially injected randomness layered on-top of mathematically encoded values that merely get expressed as tiny pieces of language (tokens) - ones that happen to be close to each other in a massively multidimensional vector space.

TLDR - they’d be forced to admit the emperor has no clothes and that’s a win for everyone (except maybe this one guy).

Also it’s worth noting I use LLMs for work almost daily and have studied them quite a bit. I’m not a hater on the tech. Only the capitalists trying to force it down everyone’s throat in such a way that we blindly adopt it for everything.

It’s all hallucinations.

Some (many) just happen to be very close to factual.

It’s sad to see that the marketing of these tools has been so effective that few realize how they work and what they do.

Emotionally.

https://archive.ph/osq2e

Except it’s accidentally stabilizing it. Source am a progressive Canadian living in a (normally) regressive Province. Not like Alberta regressive but still surrounded by Oligarchs.

While there are many reasons to dislike (or outright avoid) Apple - if you purchase music from them, it’s DRM-free and useable anywhere.

I believe they were one of the first official channels to do this.

Still, hadn’t heard of Quobuz and will check them out!

You’ve described Ghost. Subscriptions for content are a first class citizen.

It’s primary a writing platform with built-in monetization options and the ability to self host. We switched to it from Substack. It’s been fantastic to use and operate. Super slick.

But that’s exactly my point - we here in this bubble prefer Jellyfin - but it’s not ready for mass adoption. Even plex is a drop in the bucket.

In 20 years I’ve been contacted directly once for a specific bug in an Apple application.

I send feedback a couple of times a year.

I see Jellyfin suggested as an alternative to Plex here. I hope it is one day.

At the moment it’s nowhere close.

I’ve been running Jellyfin side-by-side Plex for two years and it’s still not a viable replacement for anyone but me. Parents, my partner, none of the possible solutions for them come anywhere near close to the usability of Plex and its ecosystem of apps for various devices.

That will likely change because plex is getting worse every day and folks can contribute their own solutions to the playback issues. With plex it’s more noise, more useless features. So one gets better (Jellyfin) and one gets worse (Plex).

But at the moment it really isn’t close for most folks who are familiar with the slickness of commercial apps.

Even from the administrative side, Jellyfin takes massively more system resources and it doesn’t reliably work with all my files.

Again, Jellyfin will get there it’s just not a drop in replacement for most folks yet.

And for context I started my DIY streaming / hosting life with a first gen Apple TV (pretty much a Mac mini with component video outs) that eventually got XBMC and then Boxee installed on it. I even have the forksaken Boxee box.