Image created with gemini-3.1-flash-image-preview with claude-sonnet-4-5. Image prompt: Using the provided reference image, keep the exact left-anchored close-crop composition, deep blue-purple cinematic lighting, wispy smoke bleeding rightward, and emotional gravity, but replace the central subject with a sleek smartphone lying face-up showing fragments of Chinese and English text, surface scattered with holographic glitter catching light, maintaining the melancholy post-party stillness and HBO prestige aesthetic, category name ‘qwen’ in thin lowercase white Helvetica Neue Light on right two-thirds.
Nous officially cooked with Hermes Agent. First time using a local-model agent that replaces a large segment of my Claude Code workflow. Using Qwen3-Coder-Next 80B 4bit, plus a swarm skill for ensemble on harder stuff a model is getting stuck on.
https://x.com/Sentdex/status/2042607880726081725
Alibaba’s new Qwen3.6 Plus model performs in line with MiniMax-M2.7, just behind GLM-5.1, and marks an improvement over Qwen3.5 397B A17B. However, Alibaba has not released the model weights @Alibaba_Qwen has released Qwen3.6 Plus, a proprietary model with native vision input,
https://x.com/ArtificialAnlys/status/2041970925873320203
3) But, looking even deeper into the data, we find one thing: The open ecosystem is basically all reliant and building on Qwen, which is so dominant that it alone is responsible for >50% fine-tunes (and downloads) each month
https://x.com/xeophon/status/2041889688030425331
🏆 Qwen3.6-Plus just swept OpenRouter’s Daily, Weekly & Trending charts! The trial has wrapped. The model is fully live & production-ready. 📉 Lower latency | 🔥 Top-tier reasoning | 💰 Unmatched $/token value Keep shipping. Integrate now 👇 🔗 Model
https://x.com/Alibaba_Qwen/status/2041871541080924477
🚀 Qwen Code v0.14.0 – v0.14.2 are now available Channels：Control Qwen Code remotely from Telegram, DingTalk, or WeChat — send a message from your phone, get results on your server Cron Jobs ：Schedule recurring AI tasks — auto-run tests every 30 min, pull & build every
https://x.com/Alibaba_Qwen/status/2042551216769765449
.@Alibaba_Qwen Pilot Team introduced a new Policy Optimization strategy – Future-KL Influenced Policy Optimization (FIPO) It gives better “”credit assignment”” during training: tokens that strongly affect future steps get more credit. Learning which steps are more important
https://x.com/TheTuringPost/status/2040389184234651815
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