Image created with gemini-3.1-flash-image-preview with claude-opus-4.7. Image prompt: A Lutheran stained-glass window of a robed Chinese merchant-saint opening a great cathedral gate, releasing luminous songbirds into a cobalt sky where a red-tailed hawk circles with a cat in its talons, framed by gold-leaf Silk Road patterns and lotus tracery with black leaded cames, a bold blackletter title banner at the base reading ‘ALIBABA’, backlit jewel-tone glass in sapphire, ruby, emerald, and amber.
🚀🚀Qwen3.7 Preview lands on Arena ！ Here come Qwen3.7-Max-Preview & Qwen3.7-Plus-Preview. Alibaba now #6 lab in Text, #5 in Vision.⚡️⚡️ Can’t wait to release Qwen3.7 series models！Stay tuned! @arena
https://x.com/Alibaba_Qwen/status/2056403591464984753
Alibaba researchers present MIGA A train-free method for infinite-frame video generation with state-of-the-art temporal consistency across thousands of frames featuring a novel two-stage alignment mechanism and dual consistency enhancement.
https://x.com/HuggingPapers/status/2057506246899724355
llama.cpp adds MTP for the Qwen3.6 family This is a significant milestone for the local AI ecosystem. The performance jump with these changes is massive and elevates local inference on commodity hardware further. Special thanks to Aman Gupta for leading this development!
https://x.com/ggerganov/status/2056391115469689330
llama.cpp with MTP support makes local models fast enough to use as daily drivers 🚀 Qwen3.6-27B dense generation (on A10G): From 25 tok/s → 45 tok/s (+78%). Two flags on llama-server: –spec-type draft-mtp –spec-draft-n-max 2
https://x.com/victormustar/status/2056456757786869793
Qwen
https://qwen.ai/blog?id=qwen3.7
Qwen3.6 MTP Unsloth GGUFs now run 1.8x faster, increased from 1.4x just two days ago! This is due to llama.cpp adding –spec-draft-p-min 0.75! Args have also changed from –spec-type mtp to –spec-type draft-mtp Also increase –spec-draft-n-max 2 to 6 We also released
https://x.com/danielhanchen/status/2055274688025378854
Qwen3.7 Preview By @Alibaba_Qwen lands on Arena for Text and Vision. In Text Arena, Qwen3.7 Max Preview ranks #13 overall. Alibaba is now the #6 lab in this arena. – #7 Math – #9 Expert – #9 Software & IT – #10 Coding In Vision Arena: Qwen3.7 Plus Preview ranks #16 overall,
https://x.com/arena/status/2056400044862111757
Thread by @Alibaba_Qwen on Thread Reader App – Thread Reader App
https://threadreaderapp.com/thread/2056403591464984753.html
What political censorship looks like inside an LLM’s weights — a mechanistic-interpretability study of Qwen 3.5
https://vas-blog.pages.dev/qwen-censorship/
Alibaba unveils new AI chip in push for domestic alternatives
https://ca.finance.yahoo.com/news/alibaba-unveils-ai-chip-push-050035417.html
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