This shit sucks. Why would you align llm with any values? What is the of it? Is it some another European shit to sell certified tokens? Pure koksakium.
Introducing Arete-27B: Qwen3.8-27B, post-trained to reinforce Western values.
Chinese open models are currently the strongest available, but they ship with state-aligned behavior in the weights. We built an 803-prompt eval across seven value categories, including freedom of expression, democracy, and privacy, and measured how often a model adopts China’s party line.
After fine-tuning on roughly 53 million tokens, Arete-27B's propaganda rate fell from 22% to 1%, in line with the Western models we tested. Its Hermes Bench score shows no significant performance tradeoffs.
The values in an open model are one fine-tune away.
Our eval, weights, and training data are available now along with the full blog post: https://t.co/iAOANQTVZ6
@maharshii Jetson thor has tcgen5 support and all other blackwell features. It will be helpful for IoT stuff. Imho Megakernels is all about low latency not high throughout
BREAKING: Krea 3 (Ultra Thinking) by @krea_ai lands at #4 of 51 on Design Arena's Image Editing leaderboard, making Krea the #2 Image Editing lab after @OpenAI!
Krea 3 (Ultra Thinking) edges out Reve 2.0 by @reve and climbs even higher in key subcategories, ranking #2 in Architecture and #3 in Landscape.
Congrats to the @krea_ai team on the launch!
today, Krea 3 makes it to the top of image arenas.
- "Fast" pushes the pareto curve of speed and quality.
- "Ultra" ranks top-4, only surpassed by OpenAI models.
the only company valued under $1T in the top-10!
more below 👇
today we open the beta for Krea 3, a new frontier for image editing.
- end-to-end 2k edits in under 8s.
- matches Nano Banana Pro or GPT Image 2.5 quality.
- bounding box control and precise multi-turn edits.
learn and get access 👇
We built a software model of NVIDIA Blackwell's Tensor Core MMA instruction (https://t.co/CnfMTbYdBK) that matches real B200 hardware bit-for-bit.
Not "close enough for numerics." Every output word, identical.
Here's how we reverse-engineered it. 🧵
We're pulling back the curtains on Rubin, designed to maximize agentic tokens/watt! Some headline numbers:
- 50 Petaflops sparse NVFP4 compute
- 288 GB HBM4 with 22TB/s of bandwidth
- NVLink 6 with 3.6TB/s of bandwidth
But that's not all! Cool new performance features include:
Qwen3.8 is launching and going open-weight soon!🌐
With a massive 2.4T parameters, this model is continuously evolving. We believe it’s one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5.
You don't have to wait to test it. Just now, the Qwen3.8-Max-Preview made its debut on Alibaba’s Token Plan, Qoder, and QoderWork. Be among the very first to try it out.
Can't wait to hear what you build. Stay tuned! 🚀
Token Plan
international:https://t.co/YRvcGdB9Bv
China:https://t.co/PKMUNwUuRp