🧠 Paradigm II — Agent Foundation Model: world modeling as agent capability. Single-turn, non-agent... - 惯性聚合

推荐订阅源

Google DeepMind News

CERT Recently Published Vulnerability Notes

The Last Watchdog

LINUX DO - 热门话题

cs.AI updates on arXiv.org

Application and Cybersecurity Blog

cs.CV updates on arXiv.org

KPMG report finds enterprise disconnect between AI and its ROI | CIO

Security Archives - TechRepublic

TaoSecurity Blog

Heimdal Security Blog

Security Affairs

Lohrmann on Cybersecurity

Hacker News - Newest: "LLM"

Simon Willison's Weblog

WordPress大学

Security Latest

Apple Machine Learning Research

Engineering at Meta

阮一峰的网络日志

罗磊的独立博客

Full Disclosure

Schneier on Security

Know Your Adversary

Privacy International News Feed

Google Online Security Blog

Stack Overflow Blog

大猫的无限游戏

博客园 - 三生石上(FineUI控件)

The Register - Security

CTFtime.org: upcoming CTF events

博客园_首页

Fortinet All Blogs

The Exploit Database - CXSecurity.com

Hacker News: Ask HN

Qwen(@Alibaba_Qwen)

We open-source Qwen-AgentWorld-35B-A3B (MoE, 35B/3B active, 256K context) and AgentWorldBench. Two ... 📣📣 Meet Qwen-AgentWorld — a native language world model that simulates 7 agent environments (MCP,... Qwen-Robot Suite，enable AI from chatbot to physical action in the real world. More demos, please vis... By treating natural language as a universal action interface，Qwen-RobotWorld bridges the gap betwee... 📣 Introducing the Qwen-Robot Suite — Qwen-RobotNav, Qwen-RobotManip, Qwen-RobotWorld, three foundat... Demo3：Browser Agent Demo2: Multimodal Interactive Hybrid Agent Performance1：Text Benchmarks Qwen3.7-Plus delivers competitive text performance that approaches Max... 👏👏 Introducing Qwen3.7-Plus — a multimodal agent model that unifies vision and language into one v... 📢Qwen3.7-Max just hit #3 on ITbench-AA — a fresh benchmark testing how well models handle real-worl... Fast, faster, Qwen. 🚀 Thrilled to see Qwen3.5 reaching a record-breaking 580 tps for agentic workl... 🚀🚀 🙌🙌 🚀🚀 Qwen3.7-Max just hit #4 on Code Arena, on par with Claude Opus 4.6 ，top-ranked Chinese lab on t... ✅Implicit caching is now live on Qwen3.7-Max — kicks in automatically, no setup needed. ⚡️Faster + ... ⚡️⚡️ 👀👀 🚀Qwen3.7-Max just landed at 56.6 on the Artificial Analysis Intelligence Index — a solid 4.8pt jump... Cowork Productivity Assistant：Qwen3.7-Max serves as your advanced coworker for real-world productivi... Self-Evolving in the Wild：Over the course of ~35 hours of continuous autonomous execution, the model... Cross-Harness Generalization：Across QwenClawBench and CoWorkBench, Qwen3.7-Max delivers strong, cons... Agent Scaling：Building on Qwen3.5's environment scaling approach, we've aggressively expanded the qu... Performance：Qwen3.7-Max performs strongly across benchmarks in coding agents , and improves massivel... 📣Meet Qwen3.7-Max — our latest flagship, made for the Agent Era. A versatile foundation for agents... 🚀🚀 🚀🚀Qwen3.7 Preview lands on Arena ！ Here come Qwen3.7-Max-Preview & Qwen3.7-Plus-Preview. Ali... 🚀Qwen3.6-Plus is on Nous Portal now and FREE for a limited time. Hermes Agent, here we go!! ⚡️ @Nou... 📣We're calling for ambassadors! Whether you're a developer with great technical taste or a local c... 📢 Official Announcement: Qwen Partners with Fireworks AI to Accelerate Access to Qwen Family Models... Today we’re releasing Qwen-Scope 🔭, an open suite of sparse autoencoders for the Qwen model family.... Forward and backward benchmark results across common configurations. 🚀 Introducing FlashQLA: high-performance linear attention kernels built on TileLang. ⚡ 2–3× forwar... 🚀 Introducing FlashQLA: high-performance linear attention kernels built on TileLang. ⚡ 2–3× forwar... Balanced Performance Across Artistic Styles： More uniform quality across diverse aesthetic domains, ... Comprehensive Multilingual Text Rendering： Better glyph accuracy, more consistent typography, and cl... Qwen-Image-2.0-Pro is now live 🚀🚀 We’ve pushed image quality, multilingual text rendering, and in... 👀👀 🐦🐦‍⬛🐤 Available on @ollama ! 🤝🤝 ⚡️⚡️Run Qwen3.6-27B locally! @UnslothAI Day 0 vLLM support for Qwen3.6-27B! @vllm_project ♥️❤️ Thanks to @lmsysorg ！ Try it on SGLang now!🚀🚀 VLM Performance：Qwen3.6-27B is natively multimodal, supporting both vision-language thinking and non... LM Performance：With only 27B parameters, Qwen3.6-27B outperforms the Qwen3.5-397B-A17B (397B total /... 🚀 Meet Qwen3.6-27B, our latest dense, open-source model, packing flagship-level coding power! Yes,... Keep improving 🚀🚀 @arena 🚀 Introducing Qwen3.6-Max-Preview, an early preview of our next flagship model Highlights： ⚡️ Impr... VLM Performance：Qwen3.6 is natively multimodal, and Qwen3.6-35B-A3B showcases perception and multimo... LM Performance：Qwen3.6-35B-A3B outperforms the dense 27B-param Qwen3.5-27B on several key coding ben...

🧠 Paradigm II — Agent Foundation Model: world modeling as agent capability. Single-turn, non-agent...

Qwen (@Aliba · 2026-06-24 · via Qwen(@Alibaba_Qwen)

此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。原文来自 — 版权归原作者所有。