The post I was replying to was saying

people will stop using it for all the things they're currently using it for

They will when AI companies can no longer afford to eat their own costs and start charging users a non-subsidized price.

i.e. people will stop using AI when user have to pay the "real" price (what this is is left unspecified and an exercise to the reader to figure out). My point was that even if the AI price from those provided to infinity AI usage wouldnt drop to zero like they imply.

And yet a great many people are willingly, voluntarily using them as replacements for search engines and more. If they were worse then why are they doing that?

It's so near zero it makes no difference. It is not a noticeable factor in my decision on whether to use it or not for any given task.

The training of a brand new model is expensive, but once the model has been created it's cheap to run. If OpenAI went bankrupt tomorrow and shut down the models it had trained would just be sold off to other companies and they'd run them instead, free from the debt burden that OpenAI accrued from the research and training costs that went into producing them. That's actually a fairly common pattern for first-movers like that, they spend a lot of money blazing the trail and then other companies follow along afterwards and eat their lunch.

You're free to not use them. Seems like an awful lot of people are using them, though, including myself. They must be getting something out of using them or they'd stop too.

I've found Qwen3-30B-A3B-Thinking-2507 to be the best all-around "do stuff for me" model that fits on my hardware. I've mostly been using it for analyzing and summarizing documents I've got on my local hard drive; meeting transcripts, books, and so forth. It's done surprisingly well on those transcripts, I daresay its summaries are able to tease out patterns that a human wouldn't have had an easy time spotting.

When it comes to creative writing I mix it up with Llama-3.3-70B-Instruct to enrich the text, using multiple models helps keep it from becoming repetitive and too recognizable in style.

I've got Qwen3-Coder-30B-A3B-Instruct kicking around as a programming assistant, but while it's competent at its job I've been finding that the big online models do better (unsurprisingly) so I use those more. Perhaps if I was focusing on code analysis and cleanup I'd be using that one instead but when it comes to writing big new classes or applications in one swoop it pays to go with the best right off the bat. Maybe once the IDEs get a little better at integrating LLMs it might catch up.

I've been using Ollama as the framework for running them, it's got a nice simple API and it runs in the background so it'll claim and release memory whenever demand for it comes. I used to use KoboldCPP but I had to manually start and stop it a lot and that got tedious.

Seems you guys are being pedantic on purpose, again, no one wants machine learning or shit like that to vanish, they are extremely useful and have been for decades.

What people are mocking and pointing how useless they are, are the LLMs and the promise of AGI, this shit won't happen in our lifetime.