Skip to content

#Qwen

0 items today
10/5Mon
10/4Sun
  2. DEV Community · Cursor76

    Cursor ships Composer 2, and the API response strings give away its undisclosed Kimi K2.5 base

    On March 20, 2026, developer Fynn was debugging Cursor's OpenAI-compatible endpoint when the returned model ID came back as accounts/anysphere/models/kimi-k2p5-rl-0317-s515-fast — evidence that Composer 2 was post-trained with reinforcement learning on top of Moonshot AI's Kimi K2.5. The tweet hit 44.4 views within a day.

    Why it matters: One API debugging session ties together Cursor's undisclosed Kimi base, the licensing attribution dispute, and the cost landscape for Chinese versus U.S. models — a look at how the industry handles disclosure.

10/3Sat
10/2Fri
10/1Thu
9/30Wed
  1. Habr · Вайбкодинг20

    Гига Писарь 发布 Mac 端大更新：重做设置界面并减少打扰

    Гига Писарь 为 Mac 端推出其史上最明显的更新，设置窗口按 macOS 系统设置风格完全重做，用左侧分区、卡片和图片取代原来的四个标签页与表格。新增「Мозг」区域可用 GigaChat 或 Qwen 本地模型改写听写文本，本地模型约 2GB 起、可一键删除，并支持多个云端服务按各自密钥切换。更新提示改为菜单栏图标上的小红点，不再弹出窗口打断用户。

    Awaiting translation

9/27Sun
  1. Tproger · Программирование32

    Qwen Code 0.24.6 发布：引入 Managed Runtime v2 与受管会话恢复

    Qwen Code 0.24.6 发布，新增 Managed Runtime v2 契约，支持启动、状态查询和取消操作，并加入受管会话日志与故障后切换机制。CLI 新增 /batch-api 批处理场景，Java SDK 获得 Hosted Harness 客户端及重启后绑定恢复能力。官方称冷启动时 CLI 就绪时间减半、RSS 内存占用降低 60%，但未提供独立验证结果。

    Awaiting translation

9/22Tue
9/21Mon
9/18Fri
9/15Tue
9/2Wed
8/17Mon
8/6Thu
7/8Wed
  1. Martin Fowler · Exploring Generative AI71

    在本地小模型上做智能体编码的实测体验

    Martin Fowler 在 M3 Max 48GB 和 M5 Pro 64GB 上实测 Qwen3.6 35B MoE、Gemma 4 31B/26B、Qwen Coder Next 80B 等本地小模型的智能体编码能力，按内存、速度、工具调用、代码正确性、上下文、任务复杂度、代码质量逐层筛选。

    Awaiting translation

    Why it matters: 作者用两个具体任务对比多款本地小模型的智能体编码表现，并给出可复用的任务选择标准。

7/7Tue
6/22Mon
5/6Wed
5/4Mon
3/13Fri
  1. Martin Alderson78

    How to OCR Documents with Qwen 3.5 Series Models

    The author used the open-source multimodal Qwen 3.5 series models for PDF OCR: first exporting each page as an image at 100 dpi with PyMuPDF, then feeding the images to the model for recognition. In testing, Qwen3.5-9B hit the sweet spot between quality and speed, while the smaller 0.8B to 2B models tended to go off track on complex documents, summarizing the content instead of transcribing it.

    Why it matters: The author tested Qwen 3.5 models of various sizes for PDF OCR, and shares two reusable paths—local and via OpenRouter—along with cost data.

3/7Sat