ML ecosystem tends to be very open source, true, LLMs a bit less so.
So far there are only a few useful open source models (mostly courtesy of Chinese companies), otherwise a lot of the models are either hidden behind paid APIs or falsely marketed as open source but come attached with terms and conditions, use policies, forbidden uses, requires signing agreements upfront and so on.
There is Gemma from Google and various niche models as well. I have not tried to measure exact amount of Chinese vs other, but I guess it is not mainly Chinese.
Not even Google calls Gemma "open source", nor would anyone with knowledge of "open source" call those models that. If something requires signing an agreement before downloading and/or have a list of prohibited use cases, it's most likely not open source.
"AI" bs generator is not just the code, it is not reproducible without the training set.
Also the "AI" software is not something that is not possible to use on machine with 100% open-sourced environment: the newest CPU supporting open-source BIOS is 3rd generation of Intel and such an ancient hardware is not able to run it.
So, that kind of LGPB+/Climate Justice/with using artificial intelligence disservices being forced to people are very not open-source. Indeed they are very commercialized.
For me doing the dishes is a 10-15 minute chore in the sink with some hot water but most people don't seem to object that their dishwasher takes 3 hours to do the same job with superheated steam or whatever. It still saves them the 15 minutes.
Don't forget that the dishwasher also uses less water and the dishes get sterilized by the steam.These features may or may not be important for a particular user.
I have tried to look into avante, but settled on codecompanion:
* codecompanion supports passing buffers, lsp and more. That seems to be really helpful when generating response.
* IMHO, codecompanion is more vimish (if that's the word)...
* Officially avante supports less models
* I have contributed to codocompanion GitHub models support (https://docs.github.com/en/github-models) so you can use some models basically for free with some limits and this is more than enough for daily usage from my experience (caveat that GitHub models are limited to 4000-8000 tokens so if that's problem for you then don't use it). I see avante does not support GitHub models.
Yes, copilot's tab in vim is that made me think that AI is useless. However next iteration of AI coding tools made me rethink this (I am using https://github.com/olimorris/codecompanion.nvim with nvim now).
I liked what you have shared. I am in similar position and tried to do the same as you but without success. So it is interesting to check what I can improve.
Pretty sure. I am from Lithuania (Baltic country) and here some reasons why Russia might find us worthy to occupy again: it is hard to defend Baltic countries from Russia, we were ruining Russia’s image before it was cool to do, Suwalki corridor
Is it valuable? Maybe for someone it is.