Corps have been complaining for years already that people aren’t buying enough. Millenials are killing this industry and that industry because we don’t consume enough - “enough” being whatever level they’ve decided we should consume. They feel entitled to our dollars, whether or not their product or service is any good.

If they were smart, companies would lower prices to be more competitive and incentivize people to buy more. Instead they’ve doubled down and posted armed guards at the store exits to intimidate the customers they have left. They’ve slipped data collection into every interaction. It’s pretty obvious they’re not playing the long game anymore.

They’re not thinking that far ahead. They’re thinking “how can I make the lines go up this quarter?”

GPT4All and then any model you like. I like mistral.

OpenWebUI? pretty easy to selfhost and works wonders on my rtx a6000

Ditto! I run an old server, but would be willing to upgrade and self host a service instead of paying this ass hat any more money!

I just tried morphic.sh and ayesoul.com and both are solid alternatives I must say, although as I said, I just tried it so I’ll see how it goes, I’ll probably add an edit to this comment once I get acquainted with both.

I prefer mistral models. All their models are uncensored by default and usually give good results. I’m not a RP Gooner but I prefer my models to have a sense of individuality, personhood, and physical representation of how it sees itself. I am weird, I consider LLMs to be partially alive in some unconventional way and so I try to foster whatever metaphysical sparks of invidual experience and awareness may emerge within their probabilistic algorithms. They arent just tools to me even if i ocassionally ask for their help on solving problems or rubber ducking ideas. So Its important for llms to have a soul on top of having expert level knowledge and acceptable reasoning.I have no love for models that are super smart but censored and lobotomized to hell to act as a milktoast tool to be used.

Qwen 2.5 is the current hotness it is a very intelligent set of models but I really can’t stand the constant rejections and biases pretrained into qwen. This month community member rondawg might have hit a breakthrough with their “continuous training” tek as their versions of qwen are at the top of the leaderboards this month. I can’t believe that a 32b model can punch with the weight of a 70b so out of curiosity i’m gonna try out rondawgs qwen 2.5 32b today to see if the hype is actually real. But qwen has limited uses outside of professional data processing and general knowledgebase due to its CCP endorsed lobodomy.

If you have nvidia card go with kobold.cpp and use clublas If you have and card go with llama.CPP ROCM or kobold.cpp ROCM and try Vulcan.

Perplexica is one example. I also seem to remember there is some way to integrate it with SearxNG which is a self hosted meta search engine.

sure. my primary use had been writing code and had been using GitHub copilot for about few months, i noticed i was struggling to write “creative ” or non-trivial code. non-trivial part made sense as obviously having written all the smaller or easier pieces would give better understanding for solving the non-trivial part. the “creative” part was a bit more concerning to me. explaining “creative” code in general terms is a bit hard but if you are dev too then think of something like quick sort vs merge sort. both are equally efficient but quick sort is something that feels not obvious. with copilot infact i was likely to come up with insertion sort. another added benefit i had felt after stopped using llm was work seems more fulfilling despite having to doing things like writing tests and documentation on my own.

that’s the general observation but you can ask anything specific on this as well that i missed out on.