We've open-sourced Qwen Concept 27B, our first model.
It applies direct weight-space edits (inspired by the recent MIT CSAIL "Sparks of Weight-Space Programming" paper) to cut thinking tokens by 54% while improving GPQA Diamond performance by 3% versus the base Qwen model.
This yields 30% more useful tokens per joule with no additional post-training, all developed on local NVIDIA DGX Spark hardware.
BF16, FP8, and NVFP4 versions will be available free at https://t.co/ZdZGxIEIbg.
Concept Country has developed its first open-source model, Qwen Concept 27B.
With 54% less thinking tokens and 3% better performance on GPQA Diamond compared to its base Qwen 3.8 model, we have achieved 30% more useful tokens per joule without additional post-training.
@somewheresy Much was learned. But I do give it 2 years or less until we can see something compelling longer than 10-20min. My guess is SD 3.0 gets 60s generation time which, prompt coherence gets stronger, etc. 2027
@somewheresy its incredibly clear from his background and The Technological Republic and his time at Frankfurt School and European uni that he's grey tribe (also he can say It)
Business idea: child jail. You drop them off for like a half day when they’ve been really bad. They have to wear the striped clothes& sit in cells, maybe break some rocks. Bread& water only for snacks
Two weeks ago we asked you to open source Higgsfield.
Then they tried to shut us down. 300+ of you shipped anyway.
Submissions from 45+ countries and 3 build nights later…
The winners of #OpenSourceHiggsfield
🥇 Best Overall: ComfyUI Panorama Stickers by @noma_door
💡 Most Innovative: Blocksfield by @SquaredCubeRBX
🔥 Most Viral: Imagination Studio by @SamJWasserman & @u1tra_instinct
🎨 Open Weights Only: Paint a Plate by @AInVFX
Huge thanks to @runpod_io, our partner and cash prize sponsor.
Plus 10 honorable mentions, with bonus prizes from @ltx_io, @bfl_ai, @runpod, and @MiniMax_AI:
Reshoot 4D by @itsmetamike, OneShot MV by @VisualFrisson, Freefield by @neuregex, H3 Motion by PxTicks (YT), Splat Edit Engine by @TheBurgstall, Sonder App by @SonderSaid, Max Editor by jonathan_7gramirez (IG), Genobi by Radek Rudnicki (LinkedIn), Henge by @Alissonerdx, and H3-AudioRetake-Studio by @nebsh83.
To everyone who built: thank you. You didn’t just enter a challenge. You showed that the best creative tools don’t have to sit behind a closed platform. Every project here was built in the open and shared so others can build on it.
Built by the community, for the community.
Creativity stays open source.
A special thank you to our partners as well.
Stay Comfy. 🤝
Qwen Concept 27B: we rewrote 9 weight matrices in Qwen3.8-27B. No gradient steps, no training data.
It thinks less and scores higher: GPQA Diamond +4.3 pts // LiveCodeBench v6 +13.0 // 27–54% fewer thinking tokens.
Open weights and methodology paper below↓
Weights and working paper are released. As we run more robustness checks, we also discover that this model edit unexpectedly adds +13% performance on coding tasks.
https://t.co/9TkSUEDTtE
I hope digital artists, cinematographers, concept artists, set dressers, vfx crews, game devs, etc. are prepared for the next few years.
Listen, you have the ability to construct a plan for AI assistance in the arts, expand your domain of possibilities, or you can dig yourself into a corner, resentful and irrelevant.
I'm saying this to be mean. I am saying this because it has been happening, and is only accelerating.
Good luck and have fun! 🙏