<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[拜特说]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/bytesort</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; bytesort]]></copyright><item><title><![CDATA[端侧大模型的演进之路：从概念探索到端云协同]]></title><link>https://blog.youkuaiyun.com/bytesort/article/details/162914979</link><guid>https://blog.youkuaiyun.com/bytesort/article/details/162914979</guid><author>bytesort</author><pubDate>Wed, 15 Jul 2026 23:36:42 +0800</pubDate><description><![CDATA[本文深度剖析端侧大模型从 2023 年萌芽到 2026 年加速落地的技术演进历程，解构其突破云端瓶颈的核心优势、模型压缩三大支柱，并详细梳理端侧 AI 的未来的核心技术挑战与演变趋势。]]></description><category></category></item><item><title><![CDATA[Loop Engineering：从单次对话到自动化循环]]></title><link>https://blog.youkuaiyun.com/bytesort/article/details/162394754</link><guid>https://blog.youkuaiyun.com/bytesort/article/details/162394754</guid><author>bytesort</author><pubDate>Sun, 28 Jun 2026 16:00:13 +0800</pubDate><description><![CDATA[本文深度剖析谷歌 Chrome 团队主管 Addy Osmani 提出的“循环工程”概念，观察研发范式从人驱动提示词向系统设计循环转移，拆解其核心组件架构与局限。]]></description><category></category></item><item><title><![CDATA[Agent Router 三大流派全解：从模型路由到多智能体编排]]></title><link>https://blog.youkuaiyun.com/bytesort/article/details/162143588</link><guid>https://blog.youkuaiyun.com/bytesort/article/details/162143588</guid><author>bytesort</author><pubDate>Sat, 20 Jun 2026 12:10:40 +0800</pubDate><description><![CDATA[单体大模型包办一切的时代已过，Agent Router 正成为决定成本、延迟与质量的调度中枢。本文拆解 Agent Router 的三大流派：模型路由、语义路由和编排路由。]]></description><category></category></item><item><title><![CDATA[Agent 时代的工程范式跃迁：从 Prompt 到 Harness]]></title><link>https://blog.youkuaiyun.com/bytesort/article/details/161808325</link><guid>https://blog.youkuaiyun.com/bytesort/article/details/161808325</guid><author>bytesort</author><pubDate>Mon, 08 Jun 2026 21:41:34 +0800</pubDate><description><![CDATA[底层模型决定智能上限，而包裹在其外层的 Agent Harness（运行骨架）则直接决定系统在真实生产环境中的落地成败。]]></description><category></category></item><item><title><![CDATA[CLAUDE.md 爆火背后：AI 协同编程的底层逻辑]]></title><link>https://blog.youkuaiyun.com/bytesort/article/details/161522911</link><guid>https://blog.youkuaiyun.com/bytesort/article/details/161522911</guid><author>bytesort</author><pubDate>Fri, 29 May 2026 19:47:24 +0800</pubDate><description><![CDATA[Andrej Karpathy 吐槽 AI 编程痛点并由社区提炼出 CLAUDE.md 规则库，在 GitHub 狂揽 16 万 Star。本文深入拆解其背后的 4 大核心原则，探讨如何通过精细化“行为约束”治好 AI 的自作聪明。]]></description><category></category></item><item><title><![CDATA[自进化智能体的范式跃迁：从静态模型到终身学习]]></title><link>https://blog.youkuaiyun.com/bytesort/article/details/161367063</link><guid>https://blog.youkuaiyun.com/bytesort/article/details/161367063</guid><author>bytesort</author><pubDate>Sun, 24 May 2026 17:10:00 +0800</pubDate><description><![CDATA[传统 AI 智能体受限于静态参数与固化工作流，难以应对多变的现实环境。本文深入拆解自进化智能体的三大定律、四维路径及核心实现架构，展望其如何打破静态桎梏，实现“终身学习”。]]></description><category></category></item><item><title><![CDATA[Agent 时代的输出格式演进：从 Markdown 到 HTML]]></title><link>https://blog.youkuaiyun.com/bytesort/article/details/161147233</link><guid>https://blog.youkuaiyun.com/bytesort/article/details/161147233</guid><author>bytesort</author><pubDate>Sat, 16 May 2026 21:44:06 +0800</pubDate><description><![CDATA[Anthropic 工程师发文称已几乎放弃 Markdown，全面转向 HTML 作为 AI 输出格式，引发 Karpathy 力挺。这场争论背后，是 Agent 时代人机协作方式的深层变化。]]></description><category></category></item><item><title><![CDATA[Hermes Agent 自进化架构解析：从聊天助手到数字分身]]></title><link>https://blog.youkuaiyun.com/bytesort/article/details/161058490</link><guid>https://blog.youkuaiyun.com/bytesort/article/details/161058490</guid><author>bytesort</author><pubDate>Wed, 13 May 2026 20:48:47 +0800</pubDate><description><![CDATA[Hermes Agent 试图通过闭环学习、持久化存储及架构解耦，解决当前 AI 聊天助手“无状态、无成长”的困境，使其从被动工具走向能沉淀工作习惯的成长型数字分身。]]></description><category></category></item><item><title><![CDATA[RAG 进化史：从基础检索到智能体驱动]]></title><link>https://blog.youkuaiyun.com/bytesort/article/details/160798664</link><guid>https://blog.youkuaiyun.com/bytesort/article/details/160798664</guid><author>bytesort</author><pubDate>Tue, 05 May 2026 19:09:58 +0800</pubDate><description><![CDATA[本文梳理 RAG 五阶段技术演进——从 Naive RAG 的基础框架到 Agentic RAG 的自主决策，并探讨长上下文窗口时代 RAG 的定位与演进方向。]]></description><category></category></item><item><title><![CDATA[AI Agent 的记忆革命：五个正在重塑行业的关键方向]]></title><link>https://blog.youkuaiyun.com/bytesort/article/details/160704233</link><guid>https://blog.youkuaiyun.com/bytesort/article/details/160704233</guid><author>bytesort</author><pubDate>Sat, 02 May 2026 10:00:44 +0800</pubDate><description><![CDATA[Agent Memory 正从"可选功能"升级为 AI 基础设施。本文从概念标准化、基础设施解耦、隐私安全、自我进化和多模态五个方向，梳理这条赛道正在发生的深层变化。]]></description><category></category></item><item><title><![CDATA[Agent 时代，为什么 CLI 反而更加流行？]]></title><link>https://blog.youkuaiyun.com/bytesort/article/details/160506091</link><guid>https://blog.youkuaiyun.com/bytesort/article/details/160506091</guid><author>bytesort</author><pubDate>Sat, 25 Apr 2026 18:19:46 +0800</pubDate><description><![CDATA[从 Claude Code 到钉钉 CLI，AI Agent 正在把命令行从编码工具变成通用基础设施。当用户从人变成 Agent，交互方式、服务对象和竞争维度都发生了根本性转换。]]></description><category></category></item><item><title><![CDATA[AI Agent 是如何工作的？一文拆解 5 种核心 Agent 设计模式]]></title><link>https://blog.youkuaiyun.com/bytesort/article/details/160310105</link><guid>https://blog.youkuaiyun.com/bytesort/article/details/160310105</guid><author>bytesort</author><pubDate>Sun, 19 Apr 2026 16:37:51 +0800</pubDate><description><![CDATA[在 Agent 迈向工程化落地的进程中，单点提示词已难以承载复杂的业务流。本文将深度拆解 ReAct、Plan-and-Execute 等 5 种核心设计模式，提供一种基于业务场景的架构选型思路——以最小必要复杂度构建生产级 Agent。]]></description><category></category></item><item><title><![CDATA[.claude 目录：一份藏在项目根目录里的 AI 协作协议]]></title><link>https://blog.youkuaiyun.com/bytesort/article/details/160271281</link><guid>https://blog.youkuaiyun.com/bytesort/article/details/160271281</guid><author>bytesort</author><pubDate>Sat, 18 Apr 2026 10:45:06 +0800</pubDate><description><![CDATA[拆解 Claude Code 的核心配置目录 .claude——它由指令、工作流、专家、权限、记忆五个子系统构成，配合全局层、项目层、本地层三层配置叠加，形成一套完整的 AI 协作协议。本文逐一解析其目录结构、各子系统职责，以及背后的上下文成本设计思路。]]></description><category></category></item><item><title><![CDATA[AI Agent 抵达临界点：从能力竞赛到基建狂欢]]></title><link>https://blog.youkuaiyun.com/bytesort/article/details/160192237</link><guid>https://blog.youkuaiyun.com/bytesort/article/details/160192237</guid><author>bytesort</author><pubDate>Wed, 15 Apr 2026 21:45:52 +0800</pubDate><description><![CDATA[行业的聚光灯正从单纯的模型参数，快速向底层的系统工程转移。模型层拼能力，框架层拼工程，协议层拼标准，执行层拼生态，端侧拼普及——AI Agent 从能力竞赛转向基础设施竞赛的基建狂欢，已在每一层同时打响。]]></description><category></category></item><item><title><![CDATA[什么是 Harness Engineering？一文揭秘 OpenAI 实验背后的新工程范式]]></title><link>https://blog.youkuaiyun.com/bytesort/article/details/160088051</link><guid>https://blog.youkuaiyun.com/bytesort/article/details/160088051</guid><author>bytesort</author><pubDate>Sun, 12 Apr 2026 20:53:18 +0800</pubDate><description><![CDATA[OpenAI 的一个 3 人团队，5 个月内在不手写任何代码的情况下，用 AI Agent 构建了一个百万行级别的真实产品。这个实验揭示了"驾驭工程"的核心逻辑——不优化模型，而是优化模型运行的环境。]]></description><category></category></item></channel></rss>