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I use glm and I like it, not they also increased the price to 18 usd /month.

I think Kimi and qwen are similar?


Wasn't there a limited offer? I wouldn't call that "increasing the prices"

I think both? Limited offer stopped and price increase. But the point was that is now a similar price to ChatGPT and Claude code, and not 10th of the price.

> and creating screenfuls to wade through before on-topic content,

It's often just a single root comment that you can collapse.

I find how svg drawing skills improve over time interesting. Very simple and very small datapoint. But I still find value in it.


I bet the linux drivers are not fully done yet and will mature after release.

> No one is using that cloud crap professionally.

I would bet there are at least some people using Onshape at their job. https://www.onshape.com/en/resource-center/case-studies/


James Coomey

Nah, besides sharing the code you don't have to do anything.

Most people would want you to upload the code to github, then they can star and clone it with ease. But you don't have to have an issue tracker, and you certainly don't have to read any of the issues or pull request. You can ignore or disable that.

I think even just having a up to date .zip with all the code would be technically enough.


I thought the desktop app used the cli app in the background?

Well clearly some people care.

I, for one, find it entertaining.

I have used GLM 4.7, 5 and 5.1 now for about 3 month via OpenCode harness and I don't remember it every being stuck in a loop.

You have to keep it below ~100 000 token, else it gets funny in the head.

I only use it for hobby projects though. Paid 3 EUR per month, that is not longer available though :( Not sure what I will choose end of month. Maybe OpenCode Go.


EDIT: Ok, now I tried GLM for the first time in the morning CET, and it was .. bad. The reasoning took 5 mintues for a very very small .html file going around in circles.

Evening CET experience for me is super smooth.


That's unfortunate. 70-80k tokens is roughly the point where I start wrapping up with giving agent required context even on the small to medium sized requests.

That would leave almost no tokens for actual work


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