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100%成功开源Coze本地部署教程

**开源Coze安装指南摘要** Coze Studio是字节跳动开源的AI智能体开发平台,采用Apache 2.0协议,支持免费商业使用。系统要求最低2核CPU、4GB内存,需预装Docker环境。安装过程包括:克隆GitHub仓库、配置AI模型(支持OpenAI/豆包等)、设置环境变量、启动Docker容器。通过`docker-compose up -d`命令即可一键部署,访问localhost:8888开始使用。整个安装过程约需10-15分钟,提供可视化界面创建智能体、工作流,无需编程基础即可快速构建AI应用。

NEW ADAPTIVE Multi-Agent AI System: AIME (ByteDance)

AIME (Autonomous Intelligent Multi-Agent Ecosystems) is ByteDance's revolutionary multi-agent AI framework that replaces rigid planning with dynamic, adaptive coordination. Its three core innovations—Dynamic Planner for real-time strategy refinement, Actor Factory for on-demand specialized agent creation, and centralized Progress Management—enable unprecedented flexibility and intelligence sharing, dramatically outperforming traditional static multi-agent systems across complex tasks.

British Scholar Martin Jacques on China’s Government Legitimacy

British scholar Martin Jacques argues that China's government enjoys greater legitimacy than Western democracies, stemming not from elections but from its role as embodiment of Chinese civilization. This 4,000-year tradition creates unique state-society relationships based on competency and cultural continuity. Jacques challenges Western assumptions, predicting global power shifts as China's civilizational confidence reshapes international systems.

Kimi K2驱动Claude Code无压力,完美支持MCP协议

月之暗面于2025年7月11日重磅发布并开源Kimi K2,这是国内首个万亿参数级MoE架构大模型,总参数1T,激活参数32B。该模型采用创新的MuonClip优化器,实现15.5T token稳定训练,在编程、Agent任务和数学推理方面表现卓越,多项基准测试刷新开源模型SOTA记录。支持128K长文本处理,兼容OpenAI/Anthropic API,为开发者提供强大且经济的AI解决方案。

素書

《素書》的現代註釋和分析,傳統上歸屬於黃石公所著

《素書》闡述「道德仁義禮」五大修身根本,分六章論述個人品格與領導智慧。從原始修養到正道實踐,從了解人心到堅持正義,最終達到社會和諧。古代智慧指導現代生活:職場誠信、管理藝術、商業倫理、社會責任。真正成功源於內在品德修養,而非僅追求物質成就。

AI帝国的背后真相:技术神话与现实的碰撞

AI帝国的兴起揭示了前所未有的权力集中现象。谷歌、微软等科技巨头通过垄断数据、算力和人才,正在重塑全球技术格局。这种发展模式呈现出数字殖民主义特征,从肯尼亚的内容审核工人到乌拉圭的水资源争夺,AI发展的代价被转嫁给全球南方。更令人担忧的是,这些公司正在系统性地侵蚀民主制度,通过"技术大使"和监管俘获获得准主权地位。尽管抗争力量正在兴起,但技术民主化的时间窗口正在快速缩小,我们必须在AI帝国完全固化之前重新夺回对技术方向的民主控制权。

LLM repairs Knowledge Graph (Apple MacBook)

**LLM Knowledge Graph Repair: Promise and Limitations** Current research reveals LLMs excel at structural pattern recognition (90%+ format adherence) but struggle with semantic accuracy, achieving only 20-40% correctness in critical domains like healthcare. While promising for detection and assistance, LLMs require hybrid neurosymbolic approaches with human oversight for reliable knowledge graph repair. Future solutions likely combine neural flexibility with symbolic reasoning validation.

吸引力法則詳解 | 有聲書《吸引力法則》- 内含 YouTube 视频

了解如何吸引财富、爱情和快乐?《吸引力法则》详细解析了宇宙间最强大的法则,并在第一周就登上《纽约时报》畅销书排行榜!本文将通过5个维度解读这本书,一起探索如何找到并实现自己想要的生活!20多年来,有声书《吸引力法则》一直受到深受欢迎,被翻译成30多种语言。

Analog vs Digital vs Quantum, Explained – YouTube inside

Explore the concepts of analog, digital, and quantum information processing with this 8 minute video, and understand the differences between them.

China’s Next AI Breakthrough – Physical AI

China's $138 billion government investment in Physical AI and claimed 70% global market share in embodied robotics positions it as a formidable force reshaping Southeast Asia's technological landscape. Chinese companies like Unitree are delivering cost-effective humanoid robots and industrial automation systems that could accelerate regional adoption while potentially displacing local manufacturers. For SEA, this presents both opportunities—access to affordable AI robotics for manufacturing and agriculture—and challenges, as regional economies must compete with China's state-backed AI ecosystem while developing their own indigenous capabilities to avoid technological dependence.