yeodev

I feel you. Everytime I need to read a long text I just assume it's AI nowadays and I hate it because most of the time I'm right.

I hate how AI writes. How much numb filler bullshit is in content I need to go through for my job.

I wouldn't call it cringe but I don't think it adds a lot of value, distracts me even more & even pulls unnecessary resources I'd guess?

but if people need some tamagochis to look at while their AI is working, maybe it makes sense

I think OP is missing the point of TUIs: They kinda work everywhere. While I need to fuck around with a operation systems native UI libraries like WinUI, SwiftUI, GTK, etc. I can just build an app in the terminal and be fine with it running on almost all platforms.

I'd take TUI apps over electron apps everytime as long as the UX is good.

Makes sense for OpenAI but for ChatGPT it sucks. Now - when ChatGPT thinks it can serve you an ad it will not answer you with the genuine correct option but with the one that is paid.

Same, you can think of China whatever you want but they're really good at giving big tech a reality check when it comes to AI. We now got a pretty wide range of open-weight models (from DeepSeek and MiMo over to Kimi K3, Qwen 3.8 & GLM-5.2) and I think it's most important that there's a variance not only between quality / intelligence and also cost.

I mean even the cheapest option for Luna is still more expensive than anything DS or MiMo is offering right now and I think a new Ministral model would also hit hard there because we also need some variance in model sources, we can't rely only on the US and China.

As a "new" maintainer myself - how do you decide when to ban someone? I sometimes feel overwhelmed and I can feel a big uptick in huge PRs with huge LLM written descriptions but often I also don't want to be an asshole to my community & reject all their changes.

Ever since I found Opencode Go AI coding is fun. I always hate the feeling of working inside a fenced constraint where if I just go hard enough I suddenly hit a wall and have to pay up a LOT more.

It's crazy how much you get out from Deepseek V4 Flash alone.

I wonder how much this will impact locally used models for coding. I can imagine using diffusion models that are x-times faster than Qwen or Gemma 4 - where I have to do more "pre-ai" work which is a good thing and can have a very fast, very cheap model to work with locally. I assume since it doesn't do heavy computing for a long time that it's cheaper to run on local hardware as well?