JIT (mini) apps/tools will become norm.
On-demand, personalized, and context-aware.
9 users = 10 ways to use your app. Lab testing can't predict real-world creativity.
SV designers ≠ rural grandmas.
Now, billions of non-technical users have an AI app genie in their pocket.
Introducing RND1, the most powerful base diffusion language model (DLM) to date.
RND1 (Radical Numerics Diffusion) is an experimental DLM with 30B params (3B active) with a sparse MoE architecture.
We are making it open source, releasing weights, training details, and code to catalyze further research on DLM inference and post-training.
We are researchers and engineers (DeepMind, Meta, Liquid, Stanford) building the engine for recursive self-improvement (RSI) — and using it to accelerate our own work. Our goal is to let AI design AI.
We are hiring.
How to make great products
Make it (work, great, magic)
1. Blitz the first version. As ugly as possible. But get to that aha moment
2. Add core features to "Complete" it, sand the edges, etc
3. Compress. Magic is defined as "put in a little, get out a lot"
That's how we do it
💡 You get 2,000 free Qwen Code runs every day!
Run this one simple command:
npx @qwen-code/qwen-code@latest
Hit Enter, and that’s it!
🚀 Now with Qwen OAuth support — super easy to use.
Try it now and supercharge your vibe code! 💻⚡
Github:https://t.co/8ITh20WTbV
🚀 Meet Qwen-Image — a 20B MMDiT model for next-gen text-to-image generation. Especially strong at creating stunning graphic posters with native text. Now open-source.
🔍 Key Highlights:
🔹 SOTA text rendering — rivals GPT-4o in English, best-in-class for Chinese
🔹 In-pixel text generation — no overlays, fully integrated
🔹 Bilingual support, diverse fonts, complex layouts
🎨 Also excels at general image generation — from photorealistic to anime, impressionist to minimalist. A true creative powerhouse.
Blog:https://t.co/FZ415nwcAp
Hugging Face:https://t.co/XSLwjJ6lYa
ModelScope:https://t.co/mcZ0dHeD64
Github:https://t.co/A9yvJZ6TJc
Technical report:https://t.co/tld83OrOUP
Demo: https://t.co/MgEAr4uqoR
>>> Qwen3-Coder is here! ✅
We’re releasing Qwen3-Coder-480B-A35B-Instruct, our most powerful open agentic code model to date. This 480B-parameter Mixture-of-Experts model (35B active) natively supports 256K context and scales to 1M context with extrapolation. It achieves top-tier performance across multiple agentic coding benchmarks among open models, including SWE-bench-Verified!!! 🚀
Alongside the model, we're also open-sourcing a command-line tool for agentic coding: Qwen Code. Forked from Gemini Code, it includes custom prompts and function call protocols to fully unlock Qwen3-Coder’s capabilities. Qwen3-Coder works seamlessly with the community’s best developer tools. As a foundation model, we hope it can be used anywhere across the digital world — Agentic Coding in the World!
💬 Chat: https://t.co/V7RmqMaVNZ
📚 Blog: https://t.co/syL1hsSGKq
🤗 Model: https://t.co/1LWwUKMrBN
🤖 Qwen Code: https://t.co/qqwj5nAO3Z