The problem is for organizations it’s harder to leave because that is where the people you want to reach are. That’s the only reason any org or company is on social media in the first place. If they leave too soon they risk too many people not seeing the things they send out to the community.

It’s more an individual thing because so many people just have social inertia and haven’t left since everyone they know is already there. The first to leave have to decide if they want to juggle using another platform to keep connections or cut off connections by abandoning the established platform.

I’m tired of this uninformed take.

LLMs are not a magical box you can ask anything of and get answers. If you are lucky and blindly asking questions it can give some accurate general data, but just like how human brains work you aren’t going to be able to accurately recreate random trivia verbatim from a neural net.

What LLMs are useful for, and how they should be used, is a non-deterministic parsing context tool. When people talk about feeding it more data they think of how these things are trained. But you also need to give it grounding context outside of what the prompt is. give it a PDF manual, website link, documentation, whatever and it will use that as context for what you ask it. You can even set it to link to reference.

You still have to know enough to be able to validate the information it is giving you, but that’s the case with any tool. You need to know how to use it.

As for the spyware part, that only matters if you are using the hosted instances they provide. Even for OpenAI stuff you can run the models locally with opensource software and maintain control over all the data you feed it. As far as I have found, none of the models you run with Ollama or other local AI software have been caught pushing data to a remote server, at least using open source software.

Which is actually something Deepseek is able to do.

Even if it can still generate garbage when used incorrectly like all of them, it’s still impressive that it will tell you it doesn’t “know” something, but can try to help if you give it more context. which is how this stuff should be used anyway.

Just because people are misusing tech they know nothing about does not mean this isn’t an impressive feat.

If you know what you are doing, and enough to know when it gives you garbage, LLMs are really useful, but part of using them correctly is giving them grounding context outside of just blindly asking questions.

That, and they are just brute forcing the problem. Neural nets have been around for ever but it’s only been the last 5 or so years they could do anything. There’s been little to no real breakthrough innovation as they just keep throwing more processing power at it with more inputs, more layers, more nodes, more links, more CUDA.

And their chasing a general AI is just the short sighted nature of them wanting to replace workers with something they don’t have to pay and won’t argue about it’s rights.

Like I feel they should want right wing nuts to be mad about the game. They won’t stop talking about media that are mad about and so many conservatives will still buy the thing even just to destroy it and virtue signal to the other idiots.

The left? Some may still buy it, but most don’t talk about it at all. The idea of “go woke go broke” has always been a message of intent, not reality, at least in the modern era.

Nothing makes me want to try a game or watch a show more than legitimate, non surface level representation that incels whine about.