Qwen

Headlines · 5

1. 5h
   Agency Agents ships a native desktop app for its agent roster

   Agency Agents is a growing collection of AI agent personas that started from a Reddit thread and months of iteration, spanning engineering categories such as frontend, backend, DevOps, security and data, with each agent given its own identity, workflows and deliverables. The project now offers a native macOS, Linux and Windows app that browses the full roster and installs agents into Claude Code, Cursor, Codex, Gemini CLI, OpenCode, Qwen and Osaurus in one click, alongside script-based installs and auto-updates. The repo describes the agents as "production-ready," a claim that comes from the project itself rather than independent testing.

   GitHub Trending（每日） · 🔥 11
2. 2d
   China’s 1990s-born AI leaders take the helm as the real test begins

   A 36Kr feature examines a group of Chinese AI leaders born in the 1990s who now oversee major model, multimodal, agent and AI infrastructure efforts at Alibaba, Xiaomi, ByteDance and Tencent. It argues that their rapid promotions reflect the shorter cycle of the foundation-model industry, while emphasizing that technical performance, commercialization, cost control and organizational execution remain unproven.

   36氪 人工智能 · 🔥 3
3. 2d
   Ghost AI raises $11M to build Core, a $3,499 personal AI agent computer

   AI hardware startup Ghost AI said it raised $11 million led by Andreessen Horowitz, with Abstract, Audacious Ventures, Nova and SV Angel participating. Led by 19-year-old CEO Zain Javaid, the company is building Core, a screenless local machine dedicated to running personal AI agents, powered by an NVIDIA RTX Pro 4000 SFF Blackwell GPU and priced at $3,499; the first batch has sold out. Ghost says Core ships with open-weight models such as Qwen-3.8 and lets users download others from Hugging Face, keeping source code, logic and model weights on-device with user-held encryption keys and a firewall monitoring agents' outbound requests.

   SiliconANGLE AI · 🔥 3
4. 2d
   Strata reportedly runs 125B Qwen model on 12GB GPUs

   Developer Niko1221 has open-sourced the Strata engine, which reportedly runs a quantized Qwen3.8-Flash-Next model with 125 billion parameters on consumer GPUs with at least 12GB of VRAM. The engine keeps the MoE model in system RAM, loads frequently used experts into VRAM, and uses a lightweight model for speculative decoding; reported tests reached 94 tokens per second on an RTX 5070 with a 2-bit quantization.

   IT之家 AI · 🔥 3
5. 2d
   TypeSafe AI’s Jev turns frequent AI tasks into fast decisions

   TypeSafe AI’s Jev is a decision model designed to return structured choices, scores, or calibrated yes/no probabilities instead of conversational text. The model launched on September 15 and drew developer attention for reported low latency and pricing, while TypeSafe AI claims of large speed and cost gains have not been independently verified.

   创业邦 科技 · 🔥 0

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