Agentic tip:
Next time your LLM messes up, tell it:
"Turn my rejection into a lint rule."
It might just manage to do it *and* clean up every related bad pattern too. ๐คฏ
@MiaAI_lab@XiaomiMiMo There surely are some cute or interesting ones.
E.g. Candlelit Choir, Ripple Tank or Weather Vane are really nice to play with.
You have just been SOTA spoiled by Astra and Opus-5.5. lately, think back just 3-6 months ;-)
@neural_avb I have noticed the ordering problem as well, doesn't raise confidence in the scores.
However, wouldn't Qwen3.5-0.8B-Base be a more promising base (newer arch, better benchmarks)?
@Stamatiou Configure your LLMs as multiple OpenAI-compatible providers in opencode.
Then use t3code with the opencode backend, which lets you pick repo, provider, model, branch, worktree (and machine for multiple instances) for a task.
@SapoLollo@sudoingX NP.
Then you probably haven't seen this project:
https://t.co/RH6evNmP25
Claims 26.5s per token on 8.24GB *RAM* (not VRAM)!
And no, I didn't bother to verify ;-)
@iampriyanshu23@opencode In opencode, you can select "Muse Spark 1.3 Contributor OpenCode-Go" with thinking levels
minimal low medium high xhigh.
AFAIK, "Max" is a non-contributor tier, not offered by @opencode atm.
@WolframRvnwlf I tried the OpenAI 23โฌ tier. The 5h limit feels hostile:
I am barely touching the weekly cap, yet forced to babysit and ping the agent every 5 hours. ๐
With Grok-4.7, is SuperGrok comparable in quality, but without the 5h nonsense?