Alibaba News

[AINews] Tasteful Tokenmaxxing

a quiet day lets us reflect on the top conversation that AI leaders are having everywhere.

China’s open-source bet

Silicon Valley AI companies follow a familiar playbook: Keep the secret sauce behind an API, and charge for every drop. China’s leading AI labs are playing a different game: They ship models as downloadable “open-weight” packages. This lets developers adapt the models and run them on their own hardware to build products without negotiating a…

[AINews] Moonshot Kimi K2.6: the world's leading Open Model refreshes to catch up to Opus 4.6 (ahead of DeepSeek v4?)

Yay Kimi!!!

Want to understand the current state of AI? Check out these charts.

If you’re following AI news, you’re probably getting whiplash. AI is a gold rush. AI is a bubble. AI is taking your job. AI can’t even read a clock. The 2026 AI Index from Stanford University’s Institute for Human-Centered Artificial Intelligence, AI’s annual report card, comes out today and cuts through some of that noise. …

[AINews] AI Engineer Europe 2026

Two quiet days in a row let us reflect on the first AIE in London.

[AINews] Gemma 4 crosses 2 million downloads

a quiet day lets us give due respect to the enormously successful Gemma 4 launch

AI is changing how small online sellers decide what to make

For years Mike McClary sold the Guardian LTE Flashlight, a heavy-duty black model, online through his small outdoor brand. The product, designed for brightness and durability, became one of his most popular items ever. Even after he stopped offering it around 2017, customers kept sending him emails asking where they could buy it. When McClary…

[AINews] Anthropic @ $19B ARR, Qwen team leaves, Gemini and GPT bump up fast models

a quiet day

Alibaba’s Qwen tech lead steps down after major AI push

Reactions rippled through Alibaba's Qwen team after tech lead Junyang Lin stepped down following a major model launch.

[AINews] Truth in the time of Artifice

A quiet day lets us question the nature of reality

[AINews] WTF Happened in December 2025?

A quiet day lets us express a growing, uneasy feeling that coding has changed forever — much much more than “normal” hype.

[AINews] The Unreasonable Effectiveness of Closing the Loop

Through the dozens of midsize launches today (see the rest of the recaps below), one theme that we’re seeing is something I’ve come to call “closing the loop”:

Gemini Pro 3.1 and Sonnet 4.6 Released

What’s next for Chinese open-source AI

The past year has marked a turning point for Chinese AI. Since DeepSeek released its R1 reasoning model in January 2025, Chinese companies have repeatedly delivered AI models that match the performance of leading Western models at a fraction of the cost. Just last week the Chinese firm Moonshot AI released its latest open-weight model,…

[AINews] Qwen Image 2 and Seedance 2

Strong generative media showings from China

[AINews] Context Graphs: Hype or actually Trillion-dollar opportunity?

a quiet day lets us feature a bubbling topic.

Qwen: Qwen3 Coder Next (qwen/qwen3-coder-next)

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per token, delivering performance comparable to models with 10 to 20x higher active compute, which makes it well suited for cost-sensitive, always-on agent deployment. The model is trained with a strong agentic focus and performs reliably on long-horizon coding tasks, complex tool usage, and recovery from execution failures. With a native 256k context window, it integrates cleanly into real-world CLI and IDE environments and adapts well to common agent scaffolds used by modern coding tools. The model operates exclusively in non-thinking mode and does not emit blocks, simplifying integration for production coding agents.

[AINews] SpaceXai Grok Imagine API - the #1 Video Model, Best Pricing and Latency

xAI cements its position as a frontier lab and prepares to merge with SpaceX

[AINews] Anthropic launches the MCP Apps open spec, in Claude.ai

Open Standards for Rich generative UI is all you need.

Qwen: Qwen3 VL 235B A22B Thinking (qwen/qwen3-vl-235b-a22b-thinking)

Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math. The series emphasizes robust perception (recognition of diverse real-world and synthetic categories), spatial understanding (2D/3D grounding), and long-form visual comprehension, with competitive results on public multimodal benchmarks for both perception and reasoning. Beyond analysis, Qwen3-VL supports agentic interaction and tool use: it can follow complex instructions over multi-image, multi-turn dialogues; align text to video timelines for precise temporal queries; and operate GUI elements for automation tasks. The models also enable visual coding workflows, turning sketches or mockups into code and assisting with UI debugging, while maintaining strong text-only performance comparable to the flagship Qwen3 language models. This makes Qwen3-VL suitable for production scenarios spanning document AI, multilingual OCR, software/UI assistance, spatial/embodied tasks, and research on vision-language agents.