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What's happening with qwen ai

We're tracking 283 stories on qwen ai across 100 sources — it's actively developing right now, with 4 published in the last 24 hours. 29 stories have been corroborated by 3+ independent outlets. The most-covered angle right now: Alibaba Qwen Releases Qwen3.8-Omni-Flash: A 1M-Context Omni-Modal Model Built Around Agentic Audio-Video Understanding and Tool Use (9 sources).

Synthesized live from 100 sources · updated every 15 minutes

283 stories
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Alibaba unveils Zhenwu V900 AI accelerator, claims it's 'the most powerful AI chip in China' — accelerator supports 500,000 chip supercluster with a 10T-parameter Qwen model on the roadmap

Alibaba has unveiled what it claims is China's most powerful homegrown AI chip, a move that underscores Beijing's aggressive push to build world-class artificial intelligence infrastructure independent of American technology. The Zhenwu V900 accelerator is designed to support massive supercluster deployments of up to 500,000 chips, potentially enabling the company to train AI models rivaling those of OpenAI and other Western leaders without relying on restricted foreign components. The announcement signals that China's tech giants are no longer waiting for parity with Silicon Valley—they're racing to achieve dominance in their own corner of the AI arms race.

tomshardware.com favicontomshardware.com·
Related OpenAI Alibaba CloudQwen

8 sources

TechNode faviconTechNodeThe Decoder faviconThe DecoderMarkTechPost faviconMarkTechPost
Discussions

Two open-weights releases: Victoria (Qwen3.8-Flash-Next with 44% of experts cut, 70% Terminal-Bench 2.1, GGUF included) and Maple (a Canada-first fine-tune)

We had a Dell B300 in the lab for a few weeks and used it to create two fine tunes of Qwen Flash Next. Victoria (coding and agents) Qwen3.8-Flash-Next cut down by 44% using a paper / technique called...

r/LocalLLaMA faviconr/LocalLLaMA·
Media

Qwen AI statistics 2026

About Chromebooks faviconAbout Chromebooks·
Qwen-Image-2.1 on RTX PRO 6000: 15-Image Quality and Performance Test
Media

Qwen-Image-2.1 on RTX PRO 6000: 15-Image Quality and Performance Test

by EcoHash — EcoHash Team·September 29, 2026·9 min read

Medium faviconMedium·
[Image Generation AI] Does Qwen-Image-2.1 run on 12GB VRAM? Testing from installation to generating photorealistic and anime beauties on an RTX 5070
Media

[Image Generation AI] Does Qwen-Image-2.1 run on 12GB VRAM? Testing from installation to generating photorealistic and anime beauties on an RTX 5070

Every time a new model is released, the question is, "Will it run on my PC?"Qwen-Image-2.1, released in September 2026, has a base model that is over 14GB on its own. It will not fit as-is on a GPU...

note faviconnote·
Apsara Conference 2026 Participation Report: Experiencing Alibaba's Latest AI and Qwen Book On-Site
Media

Apsara Conference 2026 Participation Report: Experiencing Alibaba's Latest AI and Qwen Book On-Site

In September 2026, I attended the Apsara Conference 2026, Alibaba Cloud's annual technology conference held in Hangzhou, China. The Apsara Conference is a flagship technology conference in the cloud...

note faviconnote·
Alibaba Unveils Qwen Intelligence Full Stack for Agentic AI Smartphones
Media

Alibaba Unveils Qwen Intelligence Full Stack for Agentic AI Smartphones

thelec.net faviconthelec.net·
Discussions

If one hour of AI is costing me 0.12€ is paying for frontier a cheaper option?

Running Qwen flash next of even Qwen 27b dense, I can do any,burning sticking to flash due to its speed, and the kwh cost is at 0.25€ where I live in, ranging from 0.11€ to 0.35€, so I used chatgpt...

r/LocalLLaMA faviconr/LocalLLaMA·
Federal site's Qwen tool pulled: FBI Alibaba claim spotlights AI use; lawmakers press security risks
Media

Federal site's Qwen tool pulled: FBI Alibaba claim spotlights AI use; lawmakers press security risks

FBI recently accused Chinese technology firm Alibaba of maliciously copying artificial intelligence technology from Anthropic in the US. The Federal Register website was found using Alibaba’s Qwen AI...

The Times of India on MSN faviconThe Times of India on MSN·
Discussions

Qwen-family LLMs are quietly becoming the backbone of modern audio models; One chart for the architectures of 100+ audio models

I started mapping the building blocks shared across all the models in audio.cpp. The result ended up being more interesting than I expected. Qwen has become by far the most common language backbone...

r/LocalLLaMA faviconr/LocalLLaMA·
Evidence, Not Answers: Why Our VLM Never Made the Final Decision
Media

Evidence, Not Answers: Why Our VLM Never Made the Final Decision

by Eduard Kharaev — Lessons from a production shelf-recognition pipeline built on self-hosted Qwen

Medium faviconMedium·
Media

Qwen Agent Retrains Itself, Leaks 3 of 6 Secrets [2026]

shattered.io faviconshattered.io·
Discussions

Qwen next 3.8 and 3.8 27b Vs Sonnet 5.5 low and Sonnet 5.5 medium.

Six months ago, a result like this was unthinkable. But now we can say it loud and clear: local models are at the cutting edge, and the gap of just a few months has been confirmed. Personally, I use...

r/LocalLLaMA faviconr/LocalLLaMA·
Discussions

Qwen-family LLMs are quietly becoming the backbone of modern audio models; One chart for the architectures of 100+ audio models [R]

I started mapping the building blocks shared across all the models in audio.cpp. The result ended up being more interesting than I expected. Qwen has become by far the most common language backbone...

r/MachineLearning faviconr/MachineLearning·
One Harness, One Agent, Three GPUs: Running Qwen on a DGX Spark, an RTX 5090, and a Radeon R9700
Media

One Harness, One Agent, Three GPUs: Running Qwen on a DGX Spark, an RTX 5090, and a Radeon R9700

by Cameron Jagoe — Three machines, one model, one agent. A field report on what actually changed, and what I’d keep if I started over.I’ve been working in AI since 2014. I was reading the AlexNet paper that year, and I...

Towards AI faviconTowards AI·
Discussions

Qwen 3.8 27B Q4 with 100K context on a 16 GB RX 7800 XT guide

I'm running Qwen 3.8 27B Q4 XS with ~30 t/s decode (no MTP) at 100k context with q8/q5 KV cache on a 16GB AMD GPU. I wanted to share my setup since many believe Qwen 3.8 27B to be infeasible on 16GB...

r/LocalLLaMA faviconr/LocalLLaMA·
Media

Alibaba Qwen Releases Qwen-Audio-3.1-Realtime: A Full-Duplex Voice Model Trained to Think, Act, and Decide When to Speak

MarkTechPost faviconMarkTechPost·
Alibaba’s TSMC-Built 5nm RISC-V Chip, XuanTie C950, Now Runs Qwen-3.8 27B Model Natively, Unlocking Massive Vertical Integration Tailwinds
Media

Alibaba’s TSMC-Built 5nm RISC-V Chip, XuanTie C950, Now Runs Qwen-3.8 27B Model Natively, Unlocking Massive Vertical Integration Tailwinds

Wccftech faviconWccftech·
Media

How to Make Your Own JEV Model from an Open LLM

by Anubhab Banerjee — Turn a small open-source Qwen LLM into a fast, single-pass text classifier by swapping its language-modeling head The post How to Make Your Own JEV Model from an Open LLM appeared first on Towards...

Towards Data Science faviconTowards Data Science·

Frequently Asked Questions

What is qwen ai?

qwen ai is a trending topic in artificial intelligence. Best AI News Today aggregates the latest news and developments about qwen ai from over 30 sources including research papers, tech publications, and community discussions.

What are the latest news about qwen ai?

As of today, there are 283 recent stories about qwen ai. Recent headlines include: Two open-weights releases: Victoria (Qwen3.8-Flash-Next with 44% of experts cut, 70% Terminal-Bench 2.1, GGUF included) and Maple (a Canada-first fine-tune); If one hour of AI is costing me 0.12€ is paying for frontier a cheaper option?; Qwen-family LLMs are quietly becoming the backbone of modern audio models; One chart for the architectures of 100+ audio models [R]. This page is updated every 15 minutes with the latest coverage.

Where can I find qwen ai discussions?

You can find qwen ai discussions on Reddit AI communities, Hacker News, and other tech forums. Best AI News Today aggregates discussions from these platforms alongside research publications and tech media coverage.