@h4x0r_dz its not like china was the only country could do that, if they didnt do it then other countries would do that, simple. Right now there is no point for other countries to make new ai models, its not worth it
You guys don’t understand what’s currently happening with AI — or what’s about to. Because of DeepSeek, models are going to get way more efficient and cost a lot less.
OpenAI’s next major model Astra just proved 10 new math results, including that nonsofic groups exist and a disproof of Connes’ Rigidity Conjecture.
They’re releasing the full Lean certificates + CoT walkthroughs.
AI is starting to do real frontier mathematics.
https://t.co/lva2ziftj1
Just wasted 7% of my weekly Plus usage using Luna + Fast mode trying to fix a bug that it didn’t accomplish, then switched to Sol High and it fixed right away using only 1% of usage.
Holy 🔥 @UnslothAI just made 1-bit Kimi K3 (2.8T params) runnable locally.
Shrunk from 1.56TB → 594GB (-62%) while keeping ~78.9% accuracy.
Same prompt: interactive glass aquarium that cracks & bursts…
1-bit Kimi K3 GGUF matches GPT-5.6 + Claude Opus 5 quality, running on 4× B200s at 36 tok/s (or Mac Studio + 128GB).
Open-weight frontier models just got real.
https://t.co/hAXAl9aT0u
Guide + GGUF: https://t.co/SbdgtALgIS
We compared 1-bit Kimi K3 to Claude Opus 5 and GPT 5.6.
We gave 4 models the same prompt:
Create a glass aquarium whose side panel develops a visible crack and then bursts.
1-bit Kimi K3 GGUF ran locally on 4x B200s at 36 tok/s.
GitHub repo: https://t.co/aZWYAtakBP
Turns out GPT-5.6 Sol is actually SOTA on ARC-AGI-3.
Just two setting changes (retained reasoning + canonical compaction) tripled the score from 13.3% → 38.3% and cut tokens 6x.
Harness matters a lot.
https://t.co/tnrTJP8XHL