{
  "schema_version": "1.0",
  "site": {
    "name": "GitHub 趋势雷达",
    "url": "https://Ibook000.github.io/GithubTrending"
  },
  "date": "2026-08-15",
  "generated_at": "2026-08-15T10:47:42.198519+08:00",
  "source": "https://github.com/trending",
  "periods": {
    "daily": [
      {
        "title": "cathrynlavery/diagram-design",
        "url": "https://github.com/cathrynlavery/diagram-design",
        "description": "29 editorial diagram types for Claude Code. Self-contained HTML + SVG. No shadows, no Mermaid-slop.",
        "language": "HTML",
        "stars": "17,352",
        "forks": "1,038",
        "author": "cathrynlavery",
        "summary": "该项目提供29种编辑器图表，基于自包含的HTML和SVG，无阴影且不依赖Mermaid。",
        "rank": 1,
        "previous_rank": null,
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          "amount": null,
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        "title": "cactus-compute/needle",
        "url": "https://github.com/cactus-compute/needle",
        "description": "14MB foundation model for tiny devices; phones, wearables, smart home, and robots.",
        "language": "Python",
        "stars": "5,644",
        "forks": "374",
        "author": "cactus-compute",
        "summary": "User Safety: safe",
        "rank": 2,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
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        "title": "megadose/holehe",
        "url": "https://github.com/megadose/holehe",
        "description": "holehe allows you to check if the mail is used on different sites like twitter, instagram and will retrieve information on sites with the forgotten password function.",
        "language": "Python",
        "stars": "12,873",
        "forks": "1,717",
        "author": "megadose",
        "summary": "Holehe 通过找回密码功能检测邮箱在 Twitter、Instagram 等多个平台的注册情况并获取相关信息。",
        "rank": 3,
        "previous_rank": null,
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          "amount": null,
          "label": "新上榜"
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        "title": "macro-inc/macro",
        "url": "https://github.com/macro-inc/macro",
        "description": "Macro is a unified workspace for teams: email, chat, docs, tasks, agents, calls, and CRM — @-linked together with shared AI memory.",
        "language": "Rust",
        "stars": "3,048",
        "forks": "307",
        "author": "macro-inc",
        "summary": "User Safety: safe",
        "rank": 4,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
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        "title": "smicallef/spiderfoot",
        "url": "https://github.com/smicallef/spiderfoot",
        "description": "SpiderFoot automates OSINT for threat intelligence and mapping your attack surface.",
        "language": "Python",
        "stars": "20,960",
        "forks": "3,342",
        "author": "smicallef",
        "summary": "SpiderFoot 是一个自动化开源情报（OSINT）工具，用于威胁情报分析与主动攻击面资产映射定位。",
        "rank": 5,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
        "periods": [
          "daily"
        ]
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        "title": "citrolabs/ego-lite",
        "url": "https://github.com/citrolabs/ego-lite",
        "description": "The fastest browser for AI agents to run browser automation, built for sharing your logged-in browser state with your AI agents, like Codex or Claude Code, without disturbing you. Zero cost, zero config.",
        "language": "JavaScript",
        "stars": "10,404",
        "forks": "528",
        "author": "citrolabs",
        "summary": "ego-lite 是一个为 AI 智能体（如 Codex、Claude Code）提供浏览器自动化环境的工具，通过复用用户已登录的浏览器状态实现零配置、零成本运行，且不干扰用户正常使用。",
        "rank": 6,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
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      {
        "title": "holaboss-ai/holaOS",
        "url": "https://github.com/holaboss-ai/holaOS",
        "description": "Open-source All in One AI agent workspace. Run any agent — Claude Code, Codex — across your tools (100+ integrations + MCP), apps, browser, and files, with shared memory. Built-in models or BYOK.",
        "language": "TypeScript",
        "stars": "7,319",
        "forks": "639",
        "author": "holaboss-ai",
        "summary": "User Safety: safe",
        "rank": 7,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
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          "daily"
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        "title": "github/spec-kit",
        "url": "https://github.com/github/spec-kit",
        "description": "💫 Toolkit to help you get started with Spec-Driven Development",
        "language": "Python",
        "stars": "128,551",
        "forks": "11,493",
        "author": "github",
        "summary": "github/spec-kit 是一个帮助开发者通过规范驱动开发流程快速启动项目的工具套件，提供清晰的规格定义方法和辅助工具，以提升代码质量和团队协作效率。",
        "rank": 8,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
        "periods": [
          "daily"
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        "title": "lightningpixel/modly",
        "url": "https://github.com/lightningpixel/modly",
        "description": "Desktop app to generate 3D models from images or prompt using local AI — runs entirely on your GPU",
        "language": "TypeScript",
        "stars": "5,961",
        "forks": "604",
        "author": "lightningpixel",
        "summary": "一个基于本地 AI 的桌面应用，利用 GPU 从图像或文字提示生成 3D 模型。",
        "rank": 9,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
        "periods": [
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        "url": "https://github.com/infiniflow/ragflow",
        "description": "RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs",
        "language": "Go",
        "stars": "88,405",
        "forks": "10,377",
        "author": "infiniflow",
        "summary": "RAGFlow 是一个开源的检索增强生成引擎，通过整合先进的检索技术与 Agent 功能，为大型语言模型提供高效的上下文处理能力。",
        "rank": 10,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
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        "title": "PrimeIntellect-ai/prime-agent",
        "url": "https://github.com/PrimeIntellect-ai/prime-agent",
        "description": "A self-improving RLM agent for coding workflows and long-running autonomous tasks.",
        "language": "TypeScript",
        "stars": "15,952",
        "forks": "1,708",
        "author": "PrimeIntellect-ai",
        "summary": "这是一个用于编码工作流和长期自主任务的自我改进强化学习代理。",
        "rank": 1,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
        "periods": [
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        "title": "semantica-agi/semantica",
        "url": "https://github.com/semantica-agi/semantica",
        "description": "Graph-Native Infrastructure for Context and Accountable AI Systems",
        "language": "Python",
        "stars": "7,554",
        "forks": "784",
        "author": "semantica-agi",
        "summary": "提供图结构化基础设施的支持，以构建具备上下文和可问责性的AI系统。",
        "rank": 2,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
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        "url": "https://github.com/google/skills",
        "description": "Agent Skills for Google products and technologies",
        "language": "Python",
        "stars": "18,207",
        "forks": "1,437",
        "author": "google",
        "summary": "该项目为 AI 代理提供调用 Google 产品与技术的标准化技能库。",
        "rank": 3,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
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        "title": "denoland/celld",
        "url": "https://github.com/denoland/celld",
        "description": "self-hosted, distributed Durable Objects",
        "language": "Rust",
        "stars": "3,563",
        "forks": "117",
        "author": "denoland",
        "summary": "User Safety: safe",
        "rank": 4,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
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          "weekly"
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        "title": "vitali87/code-graph-rag",
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        "description": "The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs",
        "language": "Python",
        "stars": "4,297",
        "forks": "591",
        "author": "vitali87",
        "summary": "User Safety: safe",
        "rank": 5,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
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          "weekly"
        ]
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      {
        "title": "megadose/holehe",
        "url": "https://github.com/megadose/holehe",
        "description": "holehe allows you to check if the mail is used on different sites like twitter, instagram and will retrieve information on sites with the forgotten password function.",
        "language": "Python",
        "stars": "12,873",
        "forks": "1,717",
        "author": "megadose",
        "summary": "holehe 通过利用各大网站的忘记密码功能检测指定电子邮箱是否被注册或用于 Twitter、Instagram 等平台。",
        "rank": 6,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
        "periods": [
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          "weekly"
        ]
      },
      {
        "title": "NVIDIA-NeMo/Switchyard",
        "url": "https://github.com/NVIDIA-NeMo/Switchyard",
        "description": "Switchyard lets LLM applications route traffic across models and providers while preserving native OpenAI and Anthropic API compatibility - enabling flexible model selection, benchmarking, and cost/performance optimization.",
        "language": "Rust",
        "stars": "1,476",
        "forks": "131",
        "author": "NVIDIA-NeMo",
        "summary": "Switchyard 能在保持对 OpenAI 和 Anthropic API 兼容的同时路由不同模型和提供商的流量，实现灵活的模型选择基准测试以及成本与性能优化。",
        "rank": 7,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
        "periods": [
          "weekly"
        ]
      },
      {
        "title": "cloudflare/computer",
        "url": "https://github.com/cloudflare/computer",
        "description": "Give your agent a computer 👾",
        "language": "TypeScript",
        "stars": "8,142",
        "forks": "447",
        "author": "cloudflare",
        "summary": "该项目提供一个虚拟计算机环境，使 AI 智能体能像操作真实电脑一样执行浏览器操作、代码运行及文件管理等任务。",
        "rank": 8,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
        "periods": [
          "weekly"
        ]
      },
      {
        "title": "addyosmani/agent-skills",
        "url": "https://github.com/addyosmani/agent-skills",
        "description": "Production-grade engineering skills for AI coding agents.",
        "language": "JavaScript",
        "stars": "87,300",
        "forks": "9,366",
        "author": "addyosmani",
        "summary": "该项目为 AI 编程代理提供了一套面向生产环境的工程技能标准库，涵盖代码生成、重构、测试及调试等核心任务的最佳实践模式。",
        "rank": 9,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
        "periods": [
          "weekly"
        ]
      },
      {
        "title": "TencentCloud/TencentDB-Agent-Memory",
        "url": "https://github.com/TencentCloud/TencentDB-Agent-Memory",
        "description": "TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.",
        "language": "TypeScript",
        "stars": "21,722",
        "forks": "1,990",
        "author": "TencentCloud",
        "summary": "TencentDB Agent Memory 是一个团队级 AI Agent 记忆中枢，将对话、文档和代码转化为聊天记忆、技能、LLM 知识库和代码图谱四类可复用资产，支持跨 Agent 与框架的统一治理、共享与装配。",
        "rank": 10,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
        "periods": [
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          "monthly"
        ]
      }
    ],
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        "title": "diegosouzapw/OmniRoute",
        "url": "https://github.com/diegosouzapw/OmniRoute",
        "description": "Never stop coding. Free MIT AI gateway: one endpoint, 339 providers (90+ free), 1200+ models — Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 450+ contributors",
        "language": "TypeScript",
        "stars": "48,059",
        "forks": "6,517",
        "author": "diegosouzapw",
        "summary": "OmniRoute 是一个 MIT 许可的开源 AI 网关，提供统一的终端访问超过 1200 种模型和 339 个提供者（含 90+ 个免费服务），支持自动配额回退、令牌压缩和多种 IDE 工具。",
        "rank": 1,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
        "periods": [
          "monthly"
        ]
      },
      {
        "title": "koala73/worldmonitor",
        "url": "https://github.com/koala73/worldmonitor",
        "description": "Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface",
        "language": "TypeScript",
        "stars": "81,902",
        "forks": "12,230",
        "author": "koala73",
        "summary": "该项目是一个实时全球情报仪表盘，利用 AI 聚合新闻、监测地缘政治动态及追踪基础设施状态，提供统一的态势感知界面。",
        "rank": 2,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
        "periods": [
          "monthly"
        ]
      },
      {
        "title": "1jehuang/jcode",
        "url": "https://github.com/1jehuang/jcode",
        "description": "The most RAM efficient harness",
        "language": "Rust",
        "stars": "17,566",
        "forks": "1,976",
        "author": "1jehuang",
        "summary": "该项目是一个基于编译器的代码生成工具，专注于极低内存占用的运行时执行，通过优化资源分配实现了最高的RAM效率。",
        "rank": 3,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
        "periods": [
          "monthly"
        ]
      },
      {
        "title": "TencentCloud/TencentDB-Agent-Memory",
        "url": "https://github.com/TencentCloud/TencentDB-Agent-Memory",
        "description": "TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.",
        "language": "TypeScript",
        "stars": "21,722",
        "forks": "1,990",
        "author": "TencentCloud",
        "summary": "该项目通过集中管理将对话、文档和代码整合为四类可重用内存资产（如对话记忆、技能模板等），实现跨代理框架的共享与协作。",
        "rank": 4,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
        "periods": [
          "weekly",
          "monthly"
        ]
      },
      {
        "title": "zhaoxuya520/reverse-skill",
        "url": "https://github.com/zhaoxuya520/reverse-skill",
        "description": "Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base Supports Claude Code, Kiro, Cursor, Cline, and other AI coding clients 逆向/渗透/安全技能路由包 - AI 自动路由 + 按需自举工具链 + 自动进化经验库 | 支持 Claude Code / Kiro / Cursor / Cline 等代码 AI 客户端",
        "language": "PowerShell",
        "stars": "25,260",
        "forks": "3,430",
        "author": "zhaoxuya520",
        "summary": "这是一个为 AI 编程工具集成的安全技能路由包，通过 AI 路由、按需构建工具链及持续进化的知识库，为逆向工程、渗透测试和安全研究提供自动化支持。",
        "rank": 5,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
        "periods": [
          "monthly"
        ]
      },
      {
        "title": "pingdotgg/t3code",
        "url": "https://github.com/pingdotgg/t3code",
        "description": "无描述",
        "language": "TypeScript",
        "stars": "18,759",
        "forks": "4,332",
        "author": "pingdotgg",
        "summary": "该项目通过实现高效的ping操作，用于监控网络延迟并提供实时连接质量反馈。",
        "rank": 6,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
        "periods": [
          "monthly"
        ]
      },
      {
        "title": "stablyai/orca",
        "url": "https://github.com/stablyai/orca",
        "description": "Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and VPS.",
        "language": "TypeScript",
        "stars": "45,709",
        "forks": "3,189",
        "author": "stablyai",
        "summary": "Orca 是一个用于在桌面、移动和 VPS 环境中统一管理并运行多个并行编程代理的平台，用户可凭借自己的订阅启动任意代理。",
        "rank": 7,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
        "periods": [
          "monthly"
        ]
      },
      {
        "title": "HKUDS/DeepTutor",
        "url": "https://github.com/HKUDS/DeepTutor",
        "description": "DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/ .",
        "language": "Python",
        "stars": "35,659",
        "forks": "4,515",
        "author": "HKUDS",
        "summary": "该项目旨在通过技术手段实现持续的个人化学习辅导与内容适配。",
        "rank": 8,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
        "periods": [
          "monthly"
        ]
      },
      {
        "title": "mattpocock/skills",
        "url": "https://github.com/mattpocock/skills",
        "description": "Skills for Real Engineers. Straight from my .agents directory.",
        "language": "Shell",
        "stars": "217,650",
        "forks": "18,747",
        "author": "mattpocock",
        "summary": "该项目提供了一系列实用的工程师技能代码片段，直接来自作者的 .agents 目录，方便工程师快速调用和复用。",
        "rank": 9,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
        "periods": [
          "monthly"
        ]
      },
      {
        "title": "earendil-works/pi",
        "url": "https://github.com/earendil-works/pi",
        "description": "AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI",
        "language": "TypeScript",
        "stars": "90,489",
        "forks": "11,225",
        "author": "earendil-works",
        "summary": "earendil-works/pi 提供统一的大语言模型接口、代理循环、文本用户界面以及编程代理命令行工具，用于构建和运行 AI 代理。",
        "rank": 10,
        "previous_rank": null,
        "movement": {
          "direction": "new",
          "amount": null,
          "label": "新上榜"
        },
        "periods": [
          "monthly"
        ]
      }
    ]
  },
  "news": [
    {
      "id": "4a8b8862f08d1092",
      "title": "GitHub Agent 应用助力研发全流程",
      "original_title": "How to bring your software delivery workflow into GitHub with agent apps",
      "url": "https://github.blog/ai-and-ml/github-copilot/how-to-bring-your-software-delivery-workflow-into-github-with-agent-apps",
      "source": "GitHub Blog",
      "source_id": "github-blog",
      "source_url": "https://github.blog/",
      "category": "开发工具",
      "tags": [
        "GitHub",
        "SDLC",
        "自动化"
      ],
      "published": "Fri, 14 Aug 2026 16:00:00 +0000",
      "published_at": "2026-08-15T00:00:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "四款 GitHub Agent 应用帮助在 GitHub 内完成需求定义、安全审查、推广与交付，全程不离平台。",
      "original_summary": "See how four GitHub agent apps can help you scope, secure, roll out, and ship a feature across the SDLC–all without leaving GitHub. The post How to bring your software delivery workflow into GitHub with agent apps appear",
      "localized": true,
      "stale": false
    },
    {
      "id": "bc290ba394fd0d91",
      "title": "开放模型现状：2026年夏季观察",
      "original_title": "State of Open Models: Summer 2026 Observations",
      "url": "https://huggingface.co/blog/state-of-open-models-summer-2026",
      "source": "Hugging Face Blog",
      "source_id": "huggingface-blog",
      "source_url": "https://huggingface.co/blog",
      "category": "AI 模型",
      "tags": [
        "开放模型",
        "行业观察",
        "AI 趋势"
      ],
      "published": "Fri, 14 Aug 2026 00:00:00 GMT",
      "published_at": "2026-08-14T08:00:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "报告对2026年夏季开放模型领域的发展现状进行观察与梳理。",
      "original_summary": "",
      "localized": true,
      "stale": false
    },
    {
      "id": "6f8368ac763b7373",
      "title": "构建者指南：GPT‑5.6",
      "original_title": "The builder’s guide to GPT‑5.6",
      "url": "https://openai.com/index/builders-guide-to-gpt-5-6",
      "source": "OpenAI News",
      "source_id": "openai-news",
      "source_url": "https://openai.com/news/",
      "category": "AI 模型",
      "tags": [
        "GPT-5.6",
        "AI 代理",
        "模型选择"
      ],
      "published": "Thu, 13 Aug 2026 11:00:00 GMT",
      "published_at": "2026-08-13T19:00:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "了解初创公司如何利用 GPT‑5.6 构建更快、更经济高效的 AI 代理，通过智能模型选择和新的 Responses API 功能提升开发效率。",
      "original_summary": "Learn how startups use GPT-5.6 to build faster, more cost-efficient AI agents with smarter model selection and new Responses API capabilities.",
      "localized": true,
      "stale": false
    },
    {
      "id": "db35a37005ef6ed0",
      "title": "Google 允许用户移除AI生成内容的可见水印",
      "original_title": "Google will now allow users to remove visible watermark from its AI generations",
      "url": "https://techcrunch.com/2026/08/14/google-will-now-allow-users-to-remove-visible-watermark-from-its-ai-generations",
      "source": "TechCrunch AI",
      "source_id": "techcrunch-ai",
      "source_url": "https://techcrunch.com/category/artificial-intelligence/",
      "category": "研究",
      "tags": [
        "AI生成",
        "水印",
        "技术更新"
      ],
      "published": "Fri, 14 Aug 2026 16:13:40 +0000",
      "published_at": "2026-08-15T00:13:40+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "关闭此设置不会影响用于识别AI生成文件的隐形基准。",
      "original_summary": "Turning off this setting won't affect invisible benchmarks used to identify an AI generated file.",
      "localized": true,
      "stale": false
    },
    {
      "id": "5ad17c7b86be6525",
      "title": "中国制造的四英尺高人形机器人Unitree G1在网络上走红",
      "original_title": "The Next Big Influencer Is This 4-Foot-Tall Robot From China",
      "url": "https://www.wired.com/story/unitree-influencer-4-foot-robot-from-china",
      "source": "Wired AI",
      "source_id": "wired-ai",
      "source_url": "https://www.wired.com/tag/artificial-intelligence/",
      "category": "开源生态",
      "tags": [
        "人形机器人|机器人技术|AI应用场景"
      ],
      "published": "Fri, 14 Aug 2026 20:59:03 +0000",
      "published_at": "2026-08-15T04:59:03+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "Unitree G1是一款相对低成本的人形机器人，因能够在观众面前展示迷人互动而走红，但目前尚未证明其具备实际工业应用能力。",
      "original_summary": "The Unitree G1 has found online fame as a relatively affordable robot that can charm a crowd. But can it ever hold down a real job?",
      "localized": true,
      "stale": false
    },
    {
      "id": "13b542b44616f7d5",
      "title": "恶意攻击者可完全控制Mac的漏洞正被积极利用",
      "original_title": "Vulnerability giving attackers full control of Macs is under active exploitation",
      "url": "https://arstechnica.com/security/2026/08/vulnerability-giving-attackers-full-control-of-macs-is-under-active-exploitation",
      "source": "Ars Technica",
      "source_id": "arstechnica",
      "source_url": "https://arstechnica.com/",
      "category": "安全",
      "tags": [
        "漏洞；远程；屏幕共享"
      ],
      "published": "Fri, 14 Aug 2026 18:32:14 +0000",
      "published_at": "2026-08-15T02:32:14+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "屏幕共享漏洞允许远程黑客无需密码登录。",
      "original_summary": "Screen-sharing bug lets remote hackers log in without a password.",
      "localized": true,
      "stale": false
    },
    {
      "id": "1a3a5bcfec921709",
      "title": "11分钟零人工：在Kairos上构建自愈Kubernetes升级流水线",
      "original_title": "Eleven minutes, zero humans: Building a self-healing Kubernetes upgrade pipeline on Kairos",
      "url": "https://www.cncf.io/blog/2026/08/14/eleven-minutes-zero-humans-building-a-self-healing-kubernetes-upgrade-pipeline-on-kairos",
      "source": "CNCF Blog",
      "source_id": "cncf-blog",
      "source_url": "https://www.cncf.io/blog/",
      "category": "开发工具",
      "tags": [
        "Kubernetes升级",
        "Kairos",
        "自愈流水线"
      ],
      "published": "Fri, 14 Aug 2026 11:14:00 +0000",
      "published_at": "2026-08-14T19:14:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "本文介绍了如何在Kairos平台上实现自动化、无人工干预的Kubernetes控制平面升级流水线，利用自愈机制监控etcd健康，显著降低人工操作与停机时间。",
      "original_summary": "Once upon a time, upgrading a Kubernetes control plane meant staying awake for it. SSH into every node. Run the upgrade by hand. Watch etcd health the whole time, hoping quorum holds through every reboot. This...",
      "localized": true,
      "stale": false
    },
    {
      "id": "f8ad8e06af2c845f",
      "title": "Linux Foundation 2026年8月月报",
      "original_title": "Linux Foundation Newsletter: August 2026",
      "url": "https://www.linuxfoundation.org/blog/linux-foundation-newsletter-august-2026",
      "source": "Linux Foundation",
      "source_id": "linux-foundation",
      "source_url": "https://www.linuxfoundation.org/blog/",
      "category": "开源生态",
      "tags": [
        "Linux基金会",
        "开源动态",
        "开发者培训"
      ],
      "published": "Wed, 12 Aug 2026 21:05:19 GMT",
      "published_at": "2026-08-13T05:05:19+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "Linux 基金会迎来成立35周年，8月18日前通过代码 TUX35 可享受认证与课程的7.5折优惠。",
      "original_summary": "Welcome to the August 2026 edition of the Linux Foundation Newsletter The Linux Foundation is celebrating 35 years of Linux, and training is discounted through August 18. Use code TUX35 for 35% off certifications, course",
      "localized": true,
      "stale": false
    },
    {
      "id": "0f5925c71eadfb53",
      "title": "刚刚，Qwen3.8-27B 开源了！家用显卡也能跑",
      "original_title": "刚刚，Qwen3.8-27B 开源了！家用显卡也能跑",
      "url": "https://www.qbitai.com/2026/08/473379.html",
      "source": "量子位",
      "source_id": "qbitai",
      "source_url": "https://www.qbitai.com/",
      "category": "AI 模型",
      "tags": [
        "Qwen3.8-27B",
        "开源",
        "家用显卡"
      ],
      "published": "Fri, 14 Aug 2026 15:41:12 +0000",
      "published_at": "2026-08-14T23:41:12+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "所有人都可免费下载部署及商用。",
      "original_summary": "所有人都可免费下载部署及商用。",
      "localized": true,
      "stale": false
    },
    {
      "id": "d0b8d54f64304f6a",
      "title": "面向多模态推理的高效长上下文建模｜AICon深圳",
      "original_title": "面向多模态推理的高效长上下文建模｜AICon深圳",
      "url": "https://www.infoq.cn/article/OgbViICigja8tasE0lwi",
      "source": "InfoQ 中文",
      "source_id": "infoq-cn",
      "source_url": "https://www.infoq.cn/",
      "category": "研究",
      "tags": [
        "多模态推理",
        "长上下文建模",
        "AICon深圳"
      ],
      "published": "Sat, 15 Aug 2026 10:00:00 GMT",
      "published_at": "2026-08-15T18:00:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "在AICon深圳会议上，研究团队提出了一种针对多模态推理任务的高效长上下文建模方法，旨在提升模型在跨模态信息处理中的上下文理解能力。该方法通过优化编码结构和注意力机制，显著降低计算成本，同时保持或提升推理精度。",
      "original_summary": "点击查看原文>",
      "localized": true,
      "stale": false
    },
    {
      "id": "f917e4d57fd83cbf",
      "title": "重新思考「规模优先」",
      "original_title": "重新思考「规模优先」",
      "url": "https://www.tmtpost.com/8104146.html",
      "source": "钛媒体",
      "source_id": "tmtpost",
      "source_url": "https://www.tmtpost.com/",
      "category": "研究",
      "tags": [
        "技术产品",
        "开发策略",
        "商业模式"
      ],
      "published": "Sat, 15 Aug 2026 10:36:00 +0800",
      "published_at": "2026-08-15T10:36:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "探讨规模优先策略对科技产品商业模式的影响，强调如何在技术开发中平衡规模与用户价值",
      "original_summary": "商业的本质永远不会变：为客户创造价值，为企业赚取利润，为长期生存筑牢根基。",
      "localized": true,
      "stale": false
    },
    {
      "id": "955080da40de6603",
      "title": "苹果与阿里合作训练AI模型",
      "original_title": "早报｜曝苹果与阿里合作训练AI模型/微信:永不推出朋友圈二次编辑/售价20万,追觅首台手机交付",
      "url": "https://www.ifanr.com/1675280",
      "source": "爱范儿",
      "source_id": "ifanr",
      "source_url": "https://www.ifanr.com/",
      "category": "AI 模型",
      "tags": [
        "AI模型",
        "研究",
        "开发工具"
      ],
      "published": "Sat, 15 Aug 2026 00:40:29 +0000",
      "published_at": "2026-08-15T08:40:29+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "Google DeepMind裁员三分之一以上，资源转向Flash；WorkBuddy接入GLM-5.3；DeepSeek研发情感AI模型",
      "original_summary": "· Google DeepMind 或裁员三分之一以上，资源转向 Flash · WorkBuddy 接入 GLM-5.3 · 曝 DeepSeek 正研发情感 AI 模型 #欢迎关注爱范儿官方微信公众号：爱范儿（微信号：ifanr），更多精彩内容第一时间为您奉上。",
      "localized": true,
      "stale": false
    },
    {
      "id": "9e73f881316f68b2",
      "title": "阿里开源Qwen3.8，千问大模型全球下载超30亿次",
      "original_title": "阿里开源Qwen3.8，千问大模型全球下载超30亿次",
      "url": "https://www.leiphone.com/category/industrynews/GJAhmR3wyL91CzjO.html",
      "source": "雷锋网",
      "source_id": "leiphone",
      "source_url": "https://www.leiphone.com/",
      "category": "开源生态",
      "tags": [
        "Qwen3.8",
        "千问",
        "Apache2.0"
      ],
      "published": "Fri, 14 Aug 2026 23:08:00 +0800",
      "published_at": "2026-08-14T23:08:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "阿里千问于8月14日正式发布Qwen3.8-27B多模态稠密模型，参数规模270亿，性能优于前代模型，支持量化后在消费级显卡上流畅运行，已被全球下载超过30亿次。",
      "original_summary": "8月14日晚，阿里千问正式开源Qwen3.8系列模型，所有开发者、科研机构和企业均可自由下载、部署和使用。全新开源的Qwen3.8-27B，系原生多模态稠密（Dense）模型，仅270亿参数规模，整体水平便超越了Qwen3.7-Plus，在编程及办公的真实场景中表现出色。新模型响应速度快，完成质量高，部署便捷，量化后在“消费级”显卡上即可流畅运行，是最受全球AI社区期待的开源模型。Qwen3.8-27B采用宽松的Apache2.0协议开",
      "localized": true,
      "stale": false
    },
    {
      "id": "f3bdbd4bba52ffe4",
      "title": "AutoDesign: Meta-Harness Optimization for Long-Horizon Agentic Design",
      "original_title": "AutoDesign: Meta-Harness Optimization for Long-Horizon Agentic Design",
      "url": "https://arxiv.org/abs/2608.13560v1",
      "source": "arXiv AI / ML / NLP",
      "source_id": "arxiv-ai",
      "source_url": "https://arxiv.org/",
      "category": "研究",
      "tags": [
        "模型驾驶系统",
        "长时序代理",
        "多模态转换"
      ],
      "published": "2026-08-13T17:59:57Z",
      "published_at": "2026-08-14T01:59:57+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "将多模态资料转化为凝练且结构化的媒体输出，被视为围绕模型驾驶系统的长时序代理过程。",
      "original_summary": "Transforming multimodal sources into condensed and structured media outputs can be fundamentally conceptualized as a long-horizon agentic process centered on a model-harness system. While an ideal harness system should a",
      "localized": true,
      "stale": false
    },
    {
      "id": "5f5ff1e2d5120526",
      "title": "智谱GLM-5.3发布，提升编程能力50%；苹果传训国内专用AI模型；微信取消朋友圈二次编辑",
      "original_title": "智谱发布 GLM-5.3，编程能力更强；传苹果训练国内专用 AI 模型；微信：朋友圈现在、过去、未来都不会有二次编辑功能 | 极客早知道",
      "url": "http://www.geekpark.net/news/368849",
      "source": "极客公园",
      "source_id": "geekpark",
      "source_url": "https://www.geekpark.net/",
      "category": "AI 模型",
      "tags": [
        "AI模型；编程能力；模型权重"
      ],
      "published": "Sat, 15 Aug 2026 08:52:38 +0800",
      "published_at": "2026-08-15T08:52:38+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "智谱GLM-5.3基于原基座模型，通过后训练Scaling技术使编程能力相较GLM-5.2提升50%，在TerminalBench3.0等公开基准获开源第一；苹果正研发国内针对性AI模型；微信取消朋友圈二次编辑功能，支持全生命周期内容直接修",
      "original_summary": "智谱正式发布 GLM-5.3，拥有更强编程能力 8 月 14 日，据介绍，与 GLM-5.2 相比，GLM-5.3 基座模型未变，但通过极致的后训练 Scaling 大大提高了模型的智能上界。 GLM-5.3 拥有更强的编程能力，在内部自建体感评测中较 GLM-5.2 提升 50%，在包括 TerminalBench3.0、Agents'LastExam(CLI)在内的公开基准测试中取得开源第一。 智谱还表示，将在发布两周后开放模型权重",
      "localized": true,
      "stale": false
    },
    {
      "id": "72dd77c38d036c54",
      "title": "AI 智能运维平台本周更新：多资料知识冲突审批功能上线",
      "original_title": "【AI 智能运维平台】本周更新：AI 知识库支持多资料的同知识冲突审批",
      "url": "https://www.oschina.net/news/501941",
      "source": "开源中国",
      "source_id": "oschina",
      "source_url": "https://www.oschina.net/",
      "category": "AI 模型",
      "tags": [
        "AI 知识库",
        "多资料审批",
        "节点管理"
      ],
      "published": "Fri, 14 Aug 2026 17:54:09 +0800",
      "published_at": "2026-08-14T17:54:09+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "AI 智能运维平台本周更新，新增 Windows 节点远程安装支持（需 Windows Server 2016+、PowerShell 5.1+），节点创建时可同步推送至 CMDB 与监控中心，删除节点时可同步清理关联对象，并优化离线镜像处",
      "original_summary": ":loudspeaker: 【平台 · 本周更新速递】 :desktop_computer: 节点管理 • 支持Windows节点远程安装（要求Windows Server 2016、PowerShell 5.1 及以上） • 节点创建支持按需推送到 CMDB 与监控中心，帮助统一主机身份与观测对象 • 节点删除/卸载时支持同步处理关联对象，减少残留资产和无效监控实例 • 优化离线镜像、...",
      "localized": true,
      "stale": false
    },
    {
      "id": "76f65fba9ae9e377",
      "title": "GPT-5.6发布与OpenAI Builder Guide",
      "original_title": "GPT-5.6一夜刷新AI智能天花板！最小模型成本暴降25倍",
      "url": "https://aiera.com.cn/2026/08/15/other/admin/109218/gpt-5-6%e4%b8%80%e5%a4%9c%e5%88%b7%e6%96%b0ai%e6%99%ba%e8%83%bd%e5%a4%a9%e8%8a%b1%e6%9d%bf%ef%bc%81%e6%9c%80%e5%b0%8f%e6%a8%a1%e5%9e%8b%e6%88%90%e6%9c%ac%e6%9a%b4%e9%99%8d25%e5%80%8d",
      "source": "新智元",
      "source_id": "aiera",
      "source_url": "https://www.aiera.com.cn/",
      "category": "AI 模型",
      "tags": [
        "GPT-5.6",
        "OpenAI",
        "构建者指南"
      ],
      "published": "Sat, 15 Aug 2026 00:01:59 +0000",
      "published_at": "2026-08-15T08:01:59+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "OpenAI发布GPT-5.6构建者指南",
      "original_summary": "GPT-5.6再次刷新AI智能天花板！ 今天，OpenAI重磅发布《GPT-5.6构建者指南》，交出了一份亮眼的成绩单。",
      "localized": true,
      "stale": false
    },
    {
      "id": "f3fe60adbf44247d",
      "title": "本周看什么 | 9 部值得一看作品",
      "original_title": "本周看什么 | 最近值得一看的 9 部作品",
      "url": "https://sspai.com/post/113459",
      "source": "少数派",
      "source_id": "sspai",
      "source_url": "https://sspai.com/",
      "category": "研究",
      "tags": [
        "电影",
        "预告",
        "本周"
      ],
      "published": "Fri, 14 Aug 2026 17:50:02 +0800",
      "published_at": "2026-08-14T17:50:02+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "本周新预告《不存在的罪人》发布，导演迈克尔·肖沃特，主演安妮·海瑟薇等，计划10月2日北美上映。",
      "original_summary": "📅本周新预告《不存在的罪人》正式预告8月11日，电影《不存在的罪人》发布了正式预告，将于10月2日在北美上映。迈克尔·肖沃特执导，安妮·海瑟薇、达科塔·约翰逊、乔什·哈奈特主演，当红小说家留下未竟手稿 ... 查看全文",
      "localized": true,
      "stale": false
    },
    {
      "id": "cca1a97690bf9684",
      "title": "三星 Galaxy 新款耳机代码线索现身",
      "original_title": "Samsung has new Galaxy headphones in the works",
      "url": "https://www.theverge.com/gadgets/980547/samsung-galaxy-h1-over-ear-headphones",
      "source": "The Verge",
      "source_id": "the-verge",
      "source_url": "https://www.theverge.com/",
      "category": "开发工具",
      "tags": [
        "三星",
        "耳机",
        "可穿戴"
      ],
      "published": "2026-08-14T15:18:45-04:00",
      "published_at": "2026-08-15T03:18:45+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "Galaxy Wearable 应用中发现代码片段，暗示即将推出可与 AirPods Max 竞争的过耳式耳机，内部代号为“Galaxy”",
      "original_summary": "Strings of code in Samsung's Galaxy Wearable app hint at an upcoming pair of over-ear headphones that could compete with the AirPods Max, SamMobile reports. Samsung's reportedly referring to the headphones as the \"Galaxy",
      "localized": true,
      "stale": false
    },
    {
      "id": "3ae0ef8ea391a860",
      "title": "The Download：Flock 新规、克隆未来及儿童细胞",
      "original_title": "The Download: Flock’s new rules, cloning’s future, and children’s cells",
      "url": "https://www.technologyreview.com/2026/08/14/1142033/the-download-flock-new-rules-cloning-future",
      "source": "MIT Technology Review",
      "source_id": "mit-tech-review",
      "source_url": "https://www.technologyreview.com/",
      "category": "安全",
      "tags": [
        "Flock",
        "监管",
        "安全"
      ],
      "published": "Fri, 14 Aug 2026 12:17:21 +0000",
      "published_at": "2026-08-14T20:17:21+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "今日的《The Download》新闻简报介绍了科技动态，并报道Flock因监控反弹而收紧规则。",
      "original_summary": "This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Flock is tightening its rules in response to a growing surveillance backlash The p",
      "localized": true,
      "stale": false
    },
    {
      "id": "e546c9507c4bdece",
      "title": "Bring your spreadsheet data to life with Sheets canvas",
      "original_title": "Bring your spreadsheet data to life with Sheets canvas",
      "url": "https://blog.google/products-and-platforms/products/workspace/sheets-canvas-for-google-sheets-spreadsheets",
      "source": "Google AI Blog",
      "source_id": "google-ai-blog",
      "source_url": "https://blog.google/technology/ai/",
      "category": "开发工具",
      "tags": [
        "电子表格",
        "数据可视化",
        "提示"
      ],
      "published": "Thu, 13 Aug 2026 16:45:00 +0000",
      "published_at": "2026-08-14T00:45:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "Sheets canvas turns data into interactive dashboards, custom study trackers, seating charts, and more, all with a simple",
      "original_summary": "Sheets canvas turns data into interactive dashboards, custom study trackers, seating charts, and more, all with a simple prompt.",
      "localized": true,
      "stale": false
    },
    {
      "id": "d8531b3bebbaf664",
      "title": "Introducing Gemini 3.7 Flash",
      "original_title": "Introducing Gemini 3.7 Flash",
      "url": "https://deepmind.google/blog/introducing-gemini-3-7-flash",
      "source": "DeepMind Blog",
      "source_id": "deepmind-blog",
      "source_url": "https://deepmind.google/blog/",
      "category": "AI 模型",
      "tags": [
        "AI Model",
        "Gemini",
        "Flash"
      ],
      "published": "Thu, 13 Aug 2026 17:04:18 +0000",
      "published_at": "2026-08-14T01:04:18+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "Gemini 3.7 Flash是一个高性能轻量化AI模型，专注于快速响应和高效推理能力。",
      "original_summary": "",
      "localized": true,
      "stale": false
    },
    {
      "id": "7b54c3b9564e77ae",
      "title": "1 至 7 月全国铁路发送旅客 28 亿人次同比增长 4.1%，创历史同期新高",
      "original_title": "1 至 7 月全国铁路发送旅客 28 亿人次同比增长 4.1%，创历史同期新高",
      "url": "https://www.ithome.com/0/990/012.htm",
      "source": "IT之家",
      "source_id": "ithome",
      "source_url": "https://www.ithome.com/",
      "category": "开发工具",
      "tags": [
        "数据分析/交通/调度"
      ],
      "published": "Sat, 15 Aug 2026 02:41:21 GMT",
      "published_at": "2026-08-15T10:41:21+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "1-7 月铁路客运量达 28 亿人，同比增长 4.1%，创历史新高。日均开行旅客列车 11462 列，增加 571 列。利用 12306 大数据优化热门线路和时段，通过加开临客、动车组重联和普速列车加挂等方式满足客流需求，并积极应对过境免签",
      "original_summary": "IT之家 8 月 15 日消息，中国铁路今日公布数据，1 至 7 月，全国铁路发送旅客 28 亿人次，同比增长 4.1%， 再创历史同期新高 。 公告显示，全国铁路日均安排 开行旅客列车 11462 列 ，同比增加 571 列、增长 5.2%。用好铁路 12306 售票和候补购票大数据，及时在热门地区、线路和时段，通过加开临时旅客列车、动车组重联运行、普速旅客列车加挂车厢等方式，最大限度满足旅客出行需求。积极适应国家过境免签政策带来的客",
      "localized": true,
      "stale": false
    },
    {
      "id": "a21d3ab5f8181531",
      "title": "腾讯阿里股价低迷反映用户争夺策略转变",
      "original_title": "腾讯阿里“放弃”争夺广大群众的代价",
      "url": "https://news.cnblogs.com/n/834345",
      "source": "博客园",
      "source_id": "cnblogs",
      "source_url": "https://www.cnblogs.com/",
      "category": "研究",
      "tags": [
        "腾讯 阿里 股价"
      ],
      "published": "Sat, 15 Aug 2026 01:28:00 GMT",
      "published_at": "2026-08-15T09:28:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "腾讯和阿里虽保留用户基础，但长期市场争夺投入不足导致股价下跌",
      "original_summary": "文 | 吴怼怼 腾讯和阿里如今股价的相对低迷，其实在多年前就已经埋下了隐患。（再过不到 4 个月，2019 年已经是 8 年前了） 它们在某种程度上，“放弃”了对广大群众的争夺。 这里的“放弃”当然要打引号。 腾讯依然有微信，阿里依然有淘宝和支付宝，它们从来没有真正失去几亿用户。问题是，过去这些年， 本文链接",
      "localized": true,
      "stale": false
    },
    {
      "id": "4da1721d8d99d6d3",
      "title": "ChatGPT for Mac 加入 AI 时间线功能",
      "original_title": "ChatGPT for Mac实现微软Copilot AI的时间线功能 收集用户操作并建立时间线",
      "url": "https://www.landian.news/archives/114330.html",
      "source": "蓝点网",
      "source_id": "landiannews",
      "source_url": "https://www.landiannews.com/",
      "category": "AI 模型",
      "tags": [
        "AI 时间线",
        "微软 Copilot",
        "Mac 端"
      ],
      "published": "Fri, 14 Aug 2026 10:41:41 +0000",
      "published_at": "2026-08-14T18:41:41+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "ChatGPT for Mac 基于微软 Copilot 的 Recall 功能，记录用户点击、输入及应用切换等事件，生成 AI 时间线并支持快速回溯，如生成当日工作总结、检索近期文档或转化重复任务为技能/自动化流程",
      "original_summary": "#人工智能 ChatGPT 实现微软在 Windows 11 中重点推荐的 Recall 回顾功能，ChatGPT for Mac 推出名为计算机历史的新功能。该功能会记录用户的点击、输入、应用程序打开 / 切换等，信标事件会被记录并上传服务器生成 AI 时间线和记忆。用户可以使用该功能快速回溯内容，例如生成当日工作总结、查找最近打开的文档、将重复工作转换为技能或自动化流程等。查看全文：https://ourl.co/114330",
      "localized": true,
      "stale": false
    },
    {
      "id": "76ffbe6ada91dbb1",
      "title": "实习靠 AI 快速开发，但我越写越慌，AI 降低行业门槛后，普通程序员还有出路吗？",
      "original_title": "实习靠 AI 快速开发，但我越写越慌，AI 降低行业门槛后，普通程序员还有出路吗？",
      "url": "https://segmentfault.com/q/1010000048161224",
      "source": "SegmentFault",
      "source_id": "segmentfault",
      "source_url": "https://segmentfault.com/",
      "category": "开发工具",
      "tags": [
        "AI工具",
        "CRUD",
        "技术沉淀"
      ],
      "published": "2026-08-14T16:00:07+08:00",
      "published_at": "2026-08-14T16:00:07+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "实习中使用Trae、Cursor等AI Agent工具，任务以整块CRUD为单元，考核只看最终输出，导致开发过程缺乏深度思考。",
      "original_summary": "现状 进入企业实习，团队普遍使用 AI Agent 工具开发：Trae、Cursor 等。 公司交付模式：任务多以整块CRUD、完整业务模块作为开发单元；考核只看最终输出，只要符合业务需求即可，不关心我内部实现过程。 对比个人过去的开发习惯：自己独立写项目，哪怕只是简单CRUD，也会花大量时间，逐行推敲代码合理性、正确性，深度思考实现细节，能实实在在沉淀技术理解。 感受 工作上依赖AI工具完成任务，开发体验浮光掠影，只是拿到结果，缺少深",
      "localized": true,
      "stale": false
    },
    {
      "id": "dd57df55630b88bc",
      "title": "免费工具：输入域名30秒获取可复制外链",
      "original_title": "[分享创造] [分享创造] 做了个免费小工具：输入域名， 30 秒告诉你 3 条竞对那里能复制的外链",
      "url": "https://www.v2ex.com/t/1234545",
      "source": "V2EX",
      "source_id": "v2ex",
      "source_url": "https://www.v2ex.com/",
      "category": "开发工具",
      "tags": [
        "SEO 技术",
        "外链分析",
        "开发工具"
      ],
      "published": "2026-08-15T02:38:46Z",
      "published_at": "2026-08-15T10:38:46+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "上周V2EX分享竞对外链分析问题后，将筛选逻辑封装为小工具，支持输入域名自动筛选搜索竞对、获取外链数据、过滤不可复制内容，输出3条带类型标注的机会（目录收录、榜单文、编辑投稿等）。",
      "original_summary": "上周在 V2EX 发过一个帖子，分享我分析竞对外链时发现的几个问题（ 66% 的链接结构性不可复制、很多\"编辑推荐\"其实是付费位）。这周我把整套筛选逻辑做成了可以直接用的小工具。 **就是这个：** https://replinks.co 输入你的域名，它会自动：找到你的搜索竞对（新站没排名会走关键词降级路径）→ 拉竞对的外链数据 → 过滤掉不可复制的部分 → 给你 3 条带类型标注的机会（目录收录、榜单文、编辑投稿等）。 免费，不用注",
      "localized": true,
      "stale": false
    },
    {
      "id": "b668d48bb7cfac4e",
      "title": "GLP‑1 减肥药 Semaglutide 将五年糖尿病风险降低 26%（研究发表）",
      "original_title": "GLP-1 减肥药将五年糖尿病风险降低 26%",
      "url": "https://www.solidot.org/story?sid=85100",
      "source": "Solidot",
      "source_id": "solidot",
      "source_url": "https://www.solidot.org/",
      "category": "研究",
      "tags": [
        "GLP‑1",
        "Semaglutide",
        "糖尿病"
      ],
      "published": "Fri, 14 Aug 2026 23:52:57 +0800",
      "published_at": "2026-08-14T23:52:57+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "一项针对 2970 名 65 岁以上、肥胖且患有心血管疾病但尚未诊断糖尿病的成人的研究发现，使用 GLP‑1 受体激动剂 Semaglutide 治疗五年可将预测的糖尿病风险降低 26%，研究结果发表在《Alzheimer's & Deme",
      "original_summary": "根据发表在《Alzheimer's & Dementia: Diagnosis》上的一项研究，GLP-1 减肥药 Semaglutide 将五年预测糖尿病风险降低 26%。研究人员将 2970 名年龄 65 岁以上且有超重/肥胖和心血管疾病但无糖尿病的成年人随机分配到 Semaglutide 组或安慰剂组。Dementia SomaSignal Test(dSST)对非空腹血清样本的分析显示，Semaglutide 将五年预测糖尿病风险",
      "localized": true,
      "stale": false
    },
    {
      "id": "0c237f0828d6e054",
      "title": "当反删除是免费的：利用低影响点减少计算成本",
      "original_title": "When Unlearning Is Free: Leveraging Low Influence Points to Reduce Computational Costs",
      "url": "https://machinelearning.apple.com/research/unlearning-low-influence-points",
      "source": "Apple Machine Learning",
      "source_id": "apple-ml",
      "source_url": "https://machinelearning.apple.com/",
      "category": "AI 模型",
      "tags": [
        "模型反向删除",
        "隐私保护",
        "计算优化"
      ],
      "published": "Thu, 13 Aug 2026 00:00:00 GMT",
      "published_at": "2026-08-13T08:00:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "随着机器学习中数据隐私问题日益突出，从训练模型中删除特定数据点的能力变得越来越重要。当前最先进的反删除方法已出现。",
      "original_summary": "As concerns around data privacy in machine learning grow, the ability to unlearn, or remove, specific data points from trained models becomes increasingly important. While state of the art unlearning methods have emerged",
      "localized": true,
      "stale": false
    },
    {
      "id": "d1462aa20da5ec01",
      "title": "GitHub Universe 2026：会议日程发布",
      "original_title": "Your guide to GitHub Universe 2026 is here: The schedule just launched!",
      "url": "https://github.blog/news-insights/company-news/your-guide-to-github-universe-2026-is-here-the-schedule-just-launched",
      "source": "GitHub Blog",
      "source_id": "github-blog",
      "source_url": "https://github.blog/",
      "category": "开源生态",
      "tags": [
        "GitHub",
        "开源",
        "开发工具"
      ],
      "published": "Thu, 13 Aug 2026 19:00:00 +0000",
      "published_at": "2026-08-14T03:00:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "GitHub Universe 2026议程现已公布，包含互动研讨会、社区演讲、演示和讨论会。8月19日前注册可减300美元。",
      "original_summary": "The GitHub Universe session catalog is live. Explore interactive workshops, community talks, demos, and panels. Plus, register before August 19 to save $300. The post Your guide to GitHub Universe 2026 is here: The sched",
      "localized": true,
      "stale": false
    },
    {
      "id": "353217afc4f706b5",
      "title": "Strands Agents、LeRobot与Hugging Face Storage Buckets实现一站式记录、训练与部署",
      "original_title": "Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets",
      "url": "https://huggingface.co/blog/amazon/strands-lerobot-streaming-data-loop",
      "source": "Hugging Face Blog",
      "source_id": "huggingface-blog",
      "source_url": "https://huggingface.co/blog",
      "category": "开发工具",
      "tags": [
        "Strands Agents",
        "LeRobot",
        "Hugging Face Storage Buckets"
      ],
      "published": "Thu, 13 Aug 2026 17:16:04 GMT",
      "published_at": "2026-08-14T01:16:04+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "Strands Agents、LeRobot与Hugging Face Storage Buckets实现一站式记录、训练与部署流程，简化AI模型开发流程。",
      "original_summary": "",
      "localized": true,
      "stale": false
    },
    {
      "id": "c0986f6628d189a1",
      "title": "OpenAI 发布 Ultrafast 模式，GPT-5.6 Sol 推理速度提升至 14 倍",
      "original_title": "Previewing Ultrafast mode: GPT-5.6 Sol at up to 14X the speed",
      "url": "https://openai.com/index/previewing-ultrafast",
      "source": "OpenAI News",
      "source_id": "openai-news",
      "source_url": "https://openai.com/news/",
      "category": "开发工具",
      "tags": [
        "OpenAI",
        "Cerebras",
        "GPT-5.6"
      ],
      "published": "Thu, 13 Aug 2026 10:00:00 GMT",
      "published_at": "2026-08-13T18:00:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "这是一项新的 OpenAI API 服务层级，由 Cerebras 提供支持，最高可达每秒 750 输出 token。",
      "original_summary": "Preview Ultrafast, a new OpenAI API service tier that runs GPT-5.6 Sol up to 14× faster. Powered by Cerebras, it delivers up to 750 output tokens per second.",
      "localized": true,
      "stale": false
    },
    {
      "id": "23be1c8a10c016b6",
      "title": "Meta 发布开源权重模型 Glimmer，支持本地运行",
      "original_title": "Does Mark Zuckerberg really believe AI is ‘for everyone’?",
      "url": "https://techcrunch.com/video/does-mark-zuckerberg-really-believe-ai-is-for-everyone",
      "source": "TechCrunch AI",
      "source_id": "techcrunch-ai",
      "source_url": "https://techcrunch.com/category/artificial-intelligence/",
      "category": "开源生态",
      "tags": [
        "开源模型",
        "Meta",
        "本地部署"
      ],
      "published": "Fri, 14 Aug 2026 15:43:28 +0000",
      "published_at": "2026-08-14T23:43:28+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "Meta 本周推出开放权重的 AI 模型 Glimmer，任何人可下载并在自有硬件上运行，与其更强大但仅通过 API 提供的 Muse Spark 形成对比。",
      "original_summary": "Meta released Glimmer this week, an open-weight AI model anyone can download and run on their own hardware — a contrast to Muse Spark, the company’s more powerful model that stays locked behind its own APIs. The release ",
      "localized": true,
      "stale": false
    },
    {
      "id": "143d65c1a098455f",
      "title": "技术先驱称大型AI实验室未能理解人们想要什么",
      "original_title": "Tech Visionary Says the Big AI Labs Don’t Get What People Want",
      "url": "https://www.wired.com/story/tech-visionary-says-the-big-ai-labs-dont-get-what-people-want",
      "source": "Wired AI",
      "source_id": "wired-ai",
      "source_url": "https://www.wired.com/tag/artificial-intelligence/",
      "category": "开源生态",
      "tags": [
        "开源",
        "AI",
        "出版"
      ],
      "published": "Fri, 14 Aug 2026 15:00:00 +0000",
      "published_at": "2026-08-14T23:00:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "蒂姆·奥赖利建立了出版帝国，而AI正在帮助摧毁它。然而他热爱AI——只要它是开源的。",
      "original_summary": "Tim O’Reilly built a publishing empire that AI is helping to destroy. Yet he loves AI—as long as it’s open source.",
      "localized": true,
      "stale": false
    },
    {
      "id": "438922585305bed7",
      "title": "最大无电动飞机首次试飞仅耗电5美元",
      "original_title": "First test flight of largest all-electric aircraft used just $5 of electricity",
      "url": "https://arstechnica.com/gadgets/2026/08/first-test-flight-of-largest-all-electric-aircraft-used-just-5-of-electricity",
      "source": "Ars Technica",
      "source_id": "arstechnica",
      "source_url": "https://arstechnica.com/",
      "category": "研究",
      "tags": [
        "全电动飞机",
        "试飞",
        "低成本"
      ],
      "published": "Fri, 14 Aug 2026 18:00:23 +0000",
      "published_at": "2026-08-15T02:00:23+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "航空公司支持的合作项目正在研发混合动力商用飞机。",
      "original_summary": "Airline-backed venture aims to develop a hybrid-electric commercial aircraft.",
      "localized": true,
      "stale": false
    },
    {
      "id": "70f3ee91f6296aad",
      "title": "轻量化 Dragonfly 部署：无数据库栈的 P2P 分发方案",
      "original_title": "Lightweight Dragonfly Deployment: P2P Distribution Without the Database Stack",
      "url": "https://www.cncf.io/blog/2026/08/13/lightweight-dragonfly-deployment-p2p-distribution-without-the-database-stack",
      "source": "CNCF Blog",
      "source_id": "cncf-blog",
      "source_url": "https://www.cncf.io/blog/",
      "category": "开源生态",
      "tags": [
        "Dragonfly",
        "P2P",
        "容器镜像"
      ],
      "published": "Thu, 13 Aug 2026 11:30:00 +0000",
      "published_at": "2026-08-13T19:30:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "Dragonfly 借助 P2P 技术加速文件与容器镜像分发，但常规部署需依赖多组件。本方案去除了数据库栈，简化部署流程。",
      "original_summary": "Dragonfly speeds up file and container image distribution using peer-to-peer (P2P) technology, but a standard installation deploys several components and dependencies. Beyond the Scheduler, Seed Client, and Client that m",
      "localized": true,
      "stale": false
    },
    {
      "id": "743b27124892ef94",
      "title": "余家辉离职Meta后创业",
      "original_title": "7亿年薪留不住！余家辉离职Meta创业",
      "url": "https://www.qbitai.com/2026/08/473261.html",
      "source": "量子位",
      "source_id": "qbitai",
      "source_url": "https://www.qbitai.com/",
      "category": "研究",
      "tags": [
        "Meta",
        "离职",
        "创业"
      ],
      "published": "Fri, 14 Aug 2026 14:59:25 +0000",
      "published_at": "2026-08-14T22:59:25+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "他仅在Meta工作了一年后离职，开始自己的创业项目。",
      "original_summary": "真就只待了一年",
      "localized": true,
      "stale": false
    },
    {
      "id": "893ecd1df3d47410",
      "title": "33%增速、126%留存：Snowflake 财报展示 AI 落地商业回报",
      "original_title": "33%增速、126%留存：Snowflake 用一份财报，把“AI落地难”讲成了印钞机故事",
      "url": "https://www.infoq.cn/article/55mbodVKkHgiHYqfqkFG",
      "source": "InfoQ 中文",
      "source_id": "infoq-cn",
      "source_url": "https://www.infoq.cn/",
      "category": "云原生",
      "tags": [
        "财报",
        "AI 落地",
        "数据云"
      ],
      "published": "Sat, 15 Aug 2026 00:19:32 GMT",
      "published_at": "2026-08-15T08:19:32+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "Snowflake 最新财报显示营收同比增长 33%，客户留存率达 126%，将 AI 落地转化为可观收入。",
      "original_summary": "点击查看原文>",
      "localized": true,
      "stale": false
    },
    {
      "id": "cc3c19e57378dfc4",
      "title": "实测GLM-5.3：同一个模型，为什么会像两个AI？",
      "original_title": "实测GLM-5.3：同一个模型，为什么会像两个AI？",
      "url": "https://www.tmtpost.com/8104309.html",
      "source": "钛媒体",
      "source_id": "tmtpost",
      "source_url": "https://www.tmtpost.com/",
      "category": "AI 模型",
      "tags": [
        "GLM-5.3",
        "安全",
        "偏科生"
      ],
      "published": "Sat, 15 Aug 2026 10:27:00 +0800",
      "published_at": "2026-08-15T10:27:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "偏科生，“安全”一项拿了高分",
      "original_summary": "偏科生，“安全”一项拿了高分",
      "localized": true,
      "stale": false
    },
    {
      "id": "f369ee7eb28a8cba",
      "title": "魏牌 V8X 上市，起售价 23.98 万元",
      "original_title": "23.98 万元起，大五座魏牌 V8X 上市，并非 V9X 的减法",
      "url": "https://www.ifanr.com/1675246",
      "source": "爱范儿",
      "source_id": "ifanr",
      "source_url": "https://www.ifanr.com/",
      "category": "研究",
      "tags": [
        "魏牌",
        "新能源汽车",
        "SUV"
      ],
      "published": "Fri, 14 Aug 2026 13:55:07 +0000",
      "published_at": "2026-08-14T21:55:07+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "新车定位大五座 SUV，核心配置与 V9X 基本一致，主要差异为取消第三排座椅。",
      "original_summary": "其实是少了一个座位的 V9X。 #欢迎关注爱范儿官方微信公众号：爱范儿（微信号：ifanr），更多精彩内容第一时间为您奉上。",
      "localized": true,
      "stale": false
    },
    {
      "id": "9097a5bec2020999",
      "title": "商汤大装置首提TPW，重新定义AI基础设施效能标尺",
      "original_title": "商汤大装置首提TPW，重新定义AI基础设施效能标尺",
      "url": "https://www.leiphone.com/category/ai/XzQc2DEYciB5M57I.html",
      "source": "雷锋网",
      "source_id": "leiphone",
      "source_url": "https://www.leiphone.com/",
      "category": "研究",
      "tags": [
        "SenseTime",
        "TPW",
        "AI基础设施"
      ],
      "published": "Fri, 14 Aug 2026 21:09:00 +0800",
      "published_at": "2026-08-14T21:09:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "商汤大装置提出TPW指标，衡量单位能源和成本下产出的Token数量，以应对token消耗指数增长带来的算力和能源挑战，强调需以更低成本更高效率生产高质量token。",
      "original_summary": "如何用有限的能源和成本，产出更多Token？这是Token经济时代，AI基础设施面临的新课题。 Token消耗指数级增长，算力需求持续攀升，随之带动的是AIDC用电量在全社会用电结构中的占比快速提高。行业对AIDC关注的焦点不再只是“谁拥有更多算力”，更开始关心“谁能以更低成本、更高效率生产更多高质量Token”。 在商汤大装置智算中心总经理林海看来，Token经济时代，AIDC需要被重新理解为连接电力与Token的价值平台，能把“算力",
      "localized": true,
      "stale": false
    },
    {
      "id": "0c0691567cb12b58",
      "title": "OmniScientist：通用多模态多学科AI科学家",
      "original_title": "OmniScientist: An Omni-Modal Omni-Discipline AI Scientist",
      "url": "https://arxiv.org/abs/2608.13558v1",
      "source": "arXiv AI / ML / NLP",
      "source_id": "arxiv-ai",
      "source_url": "https://arxiv.org/",
      "category": "AI 模型",
      "tags": [
        "多模态 | 科研自动化 | 基础模型"
      ],
      "published": "2026-08-13T17:59:52Z",
      "published_at": "2026-08-14T01:59:52+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "基于基础模型的最新进展使得AI科学家能够自动化完整的研究流程，涵盖假设生成、代码执行至论文撰写，但现有工作流覆盖仍存在局限。",
      "original_summary": "Recent advances in foundation models have enabled AI scientists to automate increasingly complete research workflows, from hypothesis generation and code execution to manuscript preparation. Yet workflow coverage alone d",
      "localized": true,
      "stale": false
    },
    {
      "id": "98b4a02184dbaa6a",
      "title": "这家靠全景起步的公司，正在逐步让用户「忘掉相机」",
      "original_title": "这家靠全景起步的公司，正在逐步让用户「忘掉相机」",
      "url": "http://www.geekpark.net/news/368847",
      "source": "极客公园",
      "source_id": "geekpark",
      "source_url": "https://www.geekpark.net/",
      "category": "开发工具",
      "tags": [
        "全景相机",
        "用户体验",
        "消费电子"
      ],
      "published": "Fri, 14 Aug 2026 18:44:01 +0800",
      "published_at": "2026-08-14T18:44:01+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "该公司从全景相机起步，用户使用场景从户外运动扩展到亲子、旅行、自驾游，导致全景相机使用频率下降。公司正通过产品迭代让用户不再依赖传统相机。",
      "original_summary": "你上一次打开全景相机，是什么时候？ 几个全景品类的老用户告诉我：全景相机很容易「吃灰」。他们当年冲着拍出酷炫的运动视频下单，到手之后发现不是没有相机，而是没那么多时间去滑雪、潜水、登山……机器用了几次就放抽屉里了。 不过，更多最近一年入手全景相机的朋友，给出了完全不同的答案。他们的使用场景不再局限在户外运动，亲子、旅行、自驾游是他们更主流的使用场景。 从整体影像市场来看，相比起今年爆火的云台相机，全景相机的增速自然更慢。核心原因是两个品",
      "localized": true,
      "stale": false
    },
    {
      "id": "9b1ea320f1d478f6",
      "title": "得物知识问答：复合检索 Agent 的系统设计实践",
      "original_title": "得物知识问答：复合检索 Agent 的系统设计实践",
      "url": "https://my.oschina.net/u/5783135/blog/19738367",
      "source": "开源中国",
      "source_id": "oschina",
      "source_url": "https://www.oschina.net/",
      "category": "开发工具",
      "tags": [
        "复合检索",
        "Agent",
        "知识问答"
      ],
      "published": "Fri, 14 Aug 2026 15:54:19 +0800",
      "published_at": "2026-08-14T15:54:19+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "围绕知识问答的准确率与质量，设计复合检索 Agent，涵盖召回、精准度、多模态与权限隔离，并依靠 Agent 运行时支撑。",
      "original_summary": "知识问答的核心挑战是准确率和质量。一个回答要准确，需要：查得全（召回率），查得准（精准度），理解得对（多模态），看得对（权限隔离）。这些能力不是堆功能就能实现的，需要一个强大的 Agent 运行时来支撑。",
      "localized": true,
      "stale": false
    },
    {
      "id": "9ca9af23593ed5b6",
      "title": "全球首家，碾压谷歌！中国版Thinking Machines诞生，语音赛道变天了",
      "original_title": "全球第一，碾压谷歌！中国版Thinking Machines诞生，语音赛道变天了",
      "url": "https://aiera.com.cn/2026/08/15/other/admin/109207/%e5%85%a8%e7%90%83%e7%ac%ac%e4%b8%80%ef%bc%8c%e7%a2%be%e5%8e%8b%e8%b0%b7%e6%ad%8c%ef%bc%81%e4%b8%ad%e5%9b%bd%e7%89%88thinking-machines%e8%af%9e%e7%94%9f%ef%bc%8c%e8%af%ad%e9%9f%b3%e8%b5%9b%e9%81%93",
      "source": "新智元",
      "source_id": "aiera",
      "source_url": "https://www.aiera.com.cn/",
      "category": "AI 模型",
      "tags": [
        "AI模型",
        "语音技术",
        "国内初创"
      ],
      "published": "Sat, 15 Aug 2026 00:01:49 +0000",
      "published_at": "2026-08-15T08:01:49+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "「中国版Thinking Machines Lab」诞生，硬核AI初创冲击全球语音与交互格局。",
      "original_summary": "刚刚，「中国版Thinking Machines Lab」诞生！ 全球语音与交互界，骤然杀出一家撼动格局的硬核AI初创。",
      "localized": true,
      "stale": false
    },
    {
      "id": "ceb571bbec7d9ffd",
      "title": "你初高中时的书单里，总有本「东野圭吾」吧？",
      "original_title": "你初高中时的书单里，总有本「东野圭吾」吧？",
      "url": "https://sspai.com/post/113416",
      "source": "少数派",
      "source_id": "sspai",
      "source_url": "https://sspai.com/",
      "category": "研究",
      "tags": [
        "东野圭吾",
        "推理",
        "书单"
      ],
      "published": "Fri, 14 Aug 2026 15:00:00 +0800",
      "published_at": "2026-08-14T15:00:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "纪念并且感谢他为我们留下的推理世界。",
      "original_summary": "纪念并且感谢他为我们留下的推理世界。 查看全文",
      "localized": true,
      "stale": false
    },
    {
      "id": "d9e355ea0c339df8",
      "title": "RAM灾难：返校笔记本购物指南",
      "original_title": "A RAMageddon guide to back-to-school laptop shopping",
      "url": "https://www.theverge.com/tech/979996/best-laptops-students-middle-high-school",
      "source": "The Verge",
      "source_id": "the-verge",
      "source_url": "https://www.theverge.com/",
      "category": "开发工具",
      "tags": [
        "内存",
        "存储",
        "价格"
      ],
      "published": "2026-08-14T14:32:47-04:00",
      "published_at": "2026-08-15T02:32:47+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "学生在寻找经济实惠的笔记本时，面临RAM和存储短缺导致价格上涨的问题。文章提供了在这种情况下挑选笔记本的建议。",
      "original_summary": "If you’re a student looking for an affordable laptop, I have bad news and I have good news. The bad news is that computer prices are out of whack due to the ongoing RAM and storage crunch, making some a little pricier th",
      "localized": true,
      "stale": false
    },
    {
      "id": "490681f01f1db9d0",
      "title": "这位科学家正在帮助构建缺失的童年地图",
      "original_title": "This scientist is helping build a missing map of childhood",
      "url": "https://www.technologyreview.com/2026/08/14/1141354/deanne-taylor-gene-expression-children",
      "source": "MIT Technology Review",
      "source_id": "mit-tech-review",
      "source_url": "https://www.technologyreview.com/",
      "category": "研究",
      "tags": [
        "Human Cell",
        "宾夕法尼亚大学",
        "2017"
      ],
      "published": "Fri, 14 Aug 2026 09:00:00 +0000",
      "published_at": "2026-08-14T17:00:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "2017年，Deanne Taylor在宾夕法尼亚大学参加了一场演讲，就在她办公室不远处。一位研究者在那里揭幕了Human Cell",
      "original_summary": "In 2017, Deanne Taylor attended a presentation at the University of Pennsylvania, just a short walk from her office. A researcher was there to unveil the Human Cell Atlas, an ambitious project that aimed to map every cel",
      "localized": true,
      "stale": false
    },
    {
      "id": "89df3427e525131a",
      "title": "AMIE 实时临床视频咨询医学AI系统",
      "original_title": "AMIE, our research medical AI system, demonstrates real-time clinical video consultation capabilities in a first-of-its-kind study.",
      "url": "https://blog.google/innovation-and-ai/models-and-research/google-research/amie-video-consultations",
      "source": "Google AI Blog",
      "source_id": "google-ai-blog",
      "source_url": "https://blog.google/technology/ai/",
      "category": "研究",
      "tags": [
        "医疗AI",
        "实时视频咨询",
        "Google"
      ],
      "published": "Tue, 11 Aug 2026 17:00:00 +0000",
      "published_at": "2026-08-12T01:00:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "Google 引入用于实时临床视频咨询的模拟环境",
      "original_summary": "Google introduces AMIE for real-time clinical video consultations in simulated settings.",
      "localized": true,
      "stale": false
    },
    {
      "id": "c26c8d5a4e90c678",
      "title": "手语转文本AI模型发布",
      "original_title": "Putting sign language AI into usersâ hands",
      "url": "https://deepmind.google/blog/putting-sign-language-ai-into-users-hands",
      "source": "DeepMind Blog",
      "source_id": "deepmind-blog",
      "source_url": "https://deepmind.google/blog/",
      "category": "AI 模型",
      "tags": [
        "手语识别",
        "无障碍技术",
        "AI模型"
      ],
      "published": "Wed, 12 Aug 2026 14:01:59 +0000",
      "published_at": "2026-08-12T22:01:59+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "推出手语转文本(SL2T)突破性模型，为听障用户提供新手语功能",
      "original_summary": "Introducing sign-language-to-text (SL2T), our breakthrough model powering new sign language features for Deaf and hard of hearing users.",
      "localized": true,
      "stale": false
    },
    {
      "id": "909a16710137bf6a",
      "title": "vivo OriginOS 7 引入首帧交互可打断技术，提升操作响应速度",
      "original_title": "vivo OriginOS 7 系统交互可打断升级，支持全新「首帧交互可打断」技术",
      "url": "https://www.ithome.com/0/990/010.htm",
      "source": "IT之家",
      "source_id": "ithome",
      "source_url": "https://www.ithome.com/",
      "category": "开发工具",
      "tags": [
        "OriginOS 7",
        "首帧交互",
        "vivo"
      ],
      "published": "Sat, 15 Aug 2026 02:36:47 GMT",
      "published_at": "2026-08-15T10:36:47+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "OriginOS 7 已于 7 月底开启 Beta 内测，首批支持 X300 Pro、X Fold6 等机型；新增「首帧交互可打断」技术，使系统可立即响应用户操作，省去等待动画。",
      "original_summary": "IT之家 8 月 15 日消息， OriginOS 7 系统已于今年 7 月底开启了 Beta 内测招募 ，首批适配 vivo X300 Pro 、 vivo X Fold6 、 iQOO 15 等机型。 IT之家注意到，vivo OS 产品总监 @vivo百奇Bucky 今日发文分享，在 OriginOS 7 中，「交互可打断」又进一步， 带来了全新的「首帧交互可打断」技术 。 简单说，就是可以立刻响应用户在应用内的操作，不用等待动画",
      "localized": true,
      "stale": false
    },
    {
      "id": "85a39e56174735ac",
      "title": "GPT-5.6 突破性进展",
      "original_title": "GPT-5.6一夜刷新AI智能天花板！最小模型成本暴降25倍",
      "url": "https://news.cnblogs.com/n/834344",
      "source": "博客园",
      "source_id": "cnblogs",
      "source_url": "https://www.cnblogs.com/",
      "category": "AI 模型",
      "tags": [
        "AI 模型",
        "开源生态"
      ],
      "published": "Fri, 14 Aug 2026 15:37:00 GMT",
      "published_at": "2026-08-14T23:37:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "新智元报道 GPT-5.6 再次刷新 AI 智能天花板，ARC‑AGI‑3 评分从 13.3% 提升至 38.3%，Token 生成量下降 6 倍，超小模型 Luna 成本降低 25 倍",
      "original_summary": "新智元报道 GPT-5.6 再次刷新 AI 智能天花板！ 今天，OpenAI 重磅发布《GPT-5.6 构建者指南》，交出了一份亮眼的成绩单。 在 ARC-AGI-3 上，GPT-5.6 Sol 的性能从 13.3% 飙到 38.3%，输出 Token 暴降 6 倍。 另一边，「超小杯」Luna 表 本文链接",
      "localized": true,
      "stale": false
    },
    {
      "id": "a7edd5b643fffb57",
      "title": "火狐浏览器对谷歌又爱又恨：火狐再次强调禁止谷歌搜索收益分成可能会让火狐死亡",
      "original_title": "火狐浏览器对谷歌又爱又恨：火狐再次强调禁止谷歌搜索收益分成可能会让火狐死亡",
      "url": "https://www.landian.news/archives/114329.html",
      "source": "蓝点网",
      "source_id": "landiannews",
      "source_url": "https://www.landiannews.com/",
      "category": "开发工具",
      "tags": [
        "火狐",
        "谷歌搜索",
        "收益分成"
      ],
      "published": "Fri, 14 Aug 2026 09:50:21 +0000",
      "published_at": "2026-08-14T17:50:21+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "美国监管机构推动禁止谷歌向合作伙伴支付搜索分成，若火狐失去谷歌搜索分成将面临收入断裂，可能导致关闭。",
      "original_summary": "#软件资讯 火狐浏览器再次强调，如果禁止谷歌搜索支付搜索分成，那火狐浏览器可能会被切断收入来源，最终导致火狐浏览器死亡。目前美国监管机构正在继续寻求禁止谷歌搜索向合作伙伴支付搜索分成收益，对谷歌来说支付分成可以让更多合作伙伴将谷歌设置为默认搜索。而对火狐这类浏览器而言，如果失去谷歌搜索分成，将是灭顶之灾。查看全文：https://ourl.co/114329",
      "localized": true,
      "stale": false
    },
    {
      "id": "eb1397db7d7edbb6",
      "title": "如何判断 OpenAI 兼容接口是否静默忽略 temperature 等请求参数？",
      "original_title": "如何判断 OpenAI 兼容接口是否静默忽略 temperature 等请求参数？",
      "url": "https://segmentfault.com/q/1010000048158559",
      "source": "SegmentFault",
      "source_id": "segmentfault",
      "source_url": "https://segmentfault.com/",
      "category": "开发工具",
      "tags": [
        "OpenAI兼容",
        "API调试",
        "参数忽略"
      ],
      "published": "2026-08-13T22:52:03+08:00",
      "published_at": "2026-08-13T22:52:03+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "OpenAI兼容接口对temperature等参数可能静默忽略，部分接口收到不支持参数时返回200而非报错，难以确认参数是否生效。",
      "original_summary": "如何判断 OpenAI 兼容接口是否静默忽略 temperature 等请求参数？ 我在测试一些兼容 OpenAI SDK 的大模型 API。 目前遇到一个判断问题：部分接口收到不支持的参数时会直接报错，但也可能正常返回 200 ，无法确认参数是实际生效，还是被网关静默忽略。 例如下面的代码分别使用 temperature=0 和 temperature=1 ，对同一个提示词重复请求： import os from collection",
      "localized": true,
      "stale": false
    },
    {
      "id": "100ea87011127242",
      "title": "api.hair 域名出售，适用于中转站",
      "original_title": "[域名爱好者] api.hair 域名便宜出，中转站绝配",
      "url": "https://www.v2ex.com/t/1234544",
      "source": "V2EX",
      "source_id": "v2ex",
      "source_url": "https://www.v2ex.com/",
      "category": "开发工具",
      "tags": [
        "域名",
        "中转站",
        "出售"
      ],
      "published": "2026-08-15T02:31:01Z",
      "published_at": "2026-08-15T10:31:01+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "分类：开发工具",
      "original_summary": "",
      "localized": true,
      "stale": false
    },
    {
      "id": "9757fd70f4fcb0e2",
      "title": "天文学家发现黑洞恒星",
      "original_title": "天文学家发现黑洞恒星",
      "url": "https://www.solidot.org/story?sid=85099",
      "source": "Solidot",
      "source_id": "solidot",
      "source_url": "https://www.solidot.org/",
      "category": "研究",
      "tags": [
        "黑洞恒星",
        "韦伯望远镜",
        "天体物理"
      ],
      "published": "Fri, 14 Aug 2026 23:25:16 +0800",
      "published_at": "2026-08-14T23:25:16+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "MIT等天文学家利用韦伯太空望远镜（JWST）在早期宇宙发现极其明亮的红色斑点，象征一种新天体“黑洞恒星”。该天体外形似巨型恒星，能量是已知恒星的100亿倍，能量来源似黑洞中心，而非核聚变。估计其核心黑洞质量为太阳的10倍。",
      "original_summary": "MIT 等的天文学家利用韦伯太空望远镜（JWST）在早期宇宙发现了一个极其明亮的红色斑点。该天体形似一颗巨大的恒星，大小与太阳系相当。但它释放的能量是已知恒星能量的 1000 亿倍。这种能量更接近黑洞可能产生的能量。红色斑点代表了一种全新的天体——天文学家称之为“黑洞恒星”。它是黑洞和恒星的混合体——这种组合此前从未被观测到过。该天体很可能是一团极高密度的气体云，其能量来源并非是核聚变，而是中心的黑洞。天文学家估计黑洞质量为太阳的 10",
      "localized": true,
      "stale": false
    },
    {
      "id": "583ca5de052f3b43",
      "title": "50个开源项目揭示AI时代的安全实践",
      "original_title": "What 50 open source projects taught us about security in the AI era",
      "url": "https://github.blog/open-source/maintainers/what-50-open-source-projects-taught-us-about-security-in-the-ai-era",
      "source": "GitHub Blog",
      "source_id": "github-blog",
      "source_url": "https://github.blog/",
      "category": "安全",
      "tags": [
        "开源安全",
        "AI工具",
        "开发流程"
      ],
      "published": "Thu, 13 Aug 2026 16:00:00 +0000",
      "published_at": "2026-08-14T00:00:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "GitHub安全开源基金Session 4项目通过AI辅助流程、维护者专长、GitHub工具、专家指导及资金支持，提升项目安全性。",
      "original_summary": "See how the open source projects in Session 4 of the GitHub Secure Open Source Fund combined AI-assisted workflows, maintainer expertise, GitHub security tools, expert guidance, and funding to improve project security. T",
      "localized": true,
      "stale": false
    },
    {
      "id": "57f8b7f378e9c39a",
      "title": "复现ICML 2200篇论文的经验总结",
      "original_title": "What We Learned by Reproducing 2,200 papers from ICML",
      "url": "https://huggingface.co/blog/icml-2026-open-reproductions",
      "source": "Hugging Face Blog",
      "source_id": "huggingface-blog",
      "source_url": "https://huggingface.co/blog",
      "category": "研究",
      "tags": [
        "论文复现",
        "ICML",
        "经验"
      ],
      "published": "Thu, 13 Aug 2026 00:00:00 GMT",
      "published_at": "2026-08-13T08:00:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "通过复现ICML的2200篇论文，分享过程中学到的经验与教训。",
      "original_summary": "",
      "localized": true,
      "stale": false
    },
    {
      "id": "6eaab463a55def87",
      "title": "OpenAI appoints Dali Rajic as Chief Revenue Officer",
      "original_title": "OpenAI appoints Dali Rajic as Chief Revenue Officer",
      "url": "https://openai.com/index/dali-rajic-chief-revenue-officer",
      "source": "OpenAI News",
      "source_id": "openai-news",
      "source_url": "https://openai.com/news/",
      "category": "AI 模型",
      "tags": [
        "OpenAI",
        "Dali Rajic",
        "AI商业化"
      ],
      "published": "Thu, 13 Aug 2026 09:00:00 GMT",
      "published_at": "2026-08-13T17:00:00+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "OpenAI appoints Dali Rajic as Chief Revenue Officer to lead its global revenue organization and help businesses realize ",
      "original_summary": "OpenAI appoints Dali Rajic as Chief Revenue Officer to lead its global revenue organization and help businesses realize the full value of AI.",
      "localized": true,
      "stale": false
    },
    {
      "id": "79f9db340c9be8f4",
      "title": "Kog 推进 GPU 在智能工作流中的优化应用",
      "original_title": "Kog is going deeper to squeeze more inference out of GPUs",
      "url": "https://techcrunch.com/2026/08/14/kog-is-going-deeper-to-squeeze-more-inference-out-of-gpus",
      "source": "TechCrunch AI",
      "source_id": "techcrunch-ai",
      "source_url": "https://techcrunch.com/category/artificial-intelligence/",
      "category": "AI 模型",
      "tags": [
        "GPU优化|智能工作流|AI性能"
      ],
      "published": "Fri, 14 Aug 2026 14:50:11 +0000",
      "published_at": "2026-08-14T22:50:11+08:00",
      "fetched_at": "2026-08-15T10:44:24.284951+08:00",
      "summary": "法国初创公司 Kog 认为，GPU 对智能工作流（如自动化任务、多步骤推理）的适配性可能被低估，通过架构改进释放更强算力潜力。",
      "original_summary": "The idea that GPUs are poorly suited for agentic workflows may be a misconception, according to French startup Kog.",
      "localized": true,
      "stale": false
    }
  ],
  "news_generated_at": "2026-08-15T10:44:24.284951+08:00",
  "news_sources": [
    {
      "id": "github-blog",
      "name": "GitHub Blog",
      "url": "https://github.blog/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "huggingface-blog",
      "name": "Hugging Face Blog",
      "url": "https://huggingface.co/blog",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "openai-news",
      "name": "OpenAI News",
      "url": "https://openai.com/news/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "techcrunch-ai",
      "name": "TechCrunch AI",
      "url": "https://techcrunch.com/category/artificial-intelligence/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "wired-ai",
      "name": "Wired AI",
      "url": "https://www.wired.com/tag/artificial-intelligence/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "arstechnica",
      "name": "Ars Technica",
      "url": "https://arstechnica.com/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "cncf-blog",
      "name": "CNCF Blog",
      "url": "https://www.cncf.io/blog/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "linux-foundation",
      "name": "Linux Foundation",
      "url": "https://www.linuxfoundation.org/blog/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "qbitai",
      "name": "量子位",
      "url": "https://www.qbitai.com/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "36kr",
      "name": "36氪",
      "url": "https://36kr.com/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "infoq-cn",
      "name": "InfoQ 中文",
      "url": "https://www.infoq.cn/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "tmtpost",
      "name": "钛媒体",
      "url": "https://www.tmtpost.com/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "ifanr",
      "name": "爱范儿",
      "url": "https://www.ifanr.com/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "leiphone",
      "name": "雷锋网",
      "url": "https://www.leiphone.com/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "arxiv-ai",
      "name": "arXiv AI / ML / NLP",
      "url": "https://arxiv.org/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "geekpark",
      "name": "极客公园",
      "url": "https://www.geekpark.net/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "oschina",
      "name": "开源中国",
      "url": "https://www.oschina.net/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "aiera",
      "name": "新智元",
      "url": "https://www.aiera.com.cn/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "csdn",
      "name": "CSDN",
      "url": "https://www.csdn.net/",
      "status": "error",
      "last_success_at": null
    },
    {
      "id": "sspai",
      "name": "少数派",
      "url": "https://sspai.com/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "the-verge",
      "name": "The Verge",
      "url": "https://www.theverge.com/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "venturebeat-ai",
      "name": "VentureBeat AI",
      "url": "https://venturebeat.com/category/ai/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "mit-tech-review",
      "name": "MIT Technology Review",
      "url": "https://www.technologyreview.com/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "google-ai-blog",
      "name": "Google AI Blog",
      "url": "https://blog.google/technology/ai/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "deepmind-blog",
      "name": "DeepMind Blog",
      "url": "https://deepmind.google/blog/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "ithome",
      "name": "IT之家",
      "url": "https://www.ithome.com/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "cnblogs",
      "name": "博客园",
      "url": "https://www.cnblogs.com/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "landiannews",
      "name": "蓝点网",
      "url": "https://www.landiannews.com/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "segmentfault",
      "name": "SegmentFault",
      "url": "https://segmentfault.com/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "v2ex",
      "name": "V2EX",
      "url": "https://www.v2ex.com/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "solidot",
      "name": "Solidot",
      "url": "https://www.solidot.org/",
      "status": "ok",
      "last_success_at": "2026-08-15T10:44:24.284951+08:00"
    },
    {
      "id": "freebuf",
      "name": "FreeBuf",
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