[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"consumer-news-detail-950":3,"consumer-news-interaction-950":41,"consumer-news-related-950":44},{"detail":4,"item":36},{"card":5,"schemaVersion":23,"fields":24,"content":30},{"id":6,"kind":7,"targetType":8,"targetId":9,"subtype":7,"typeLabel":10,"title":11,"subtitle":12,"summary":13,"coverUrl":14,"badgeText":15,"href":16,"sourceName":12,"meta":17,"metrics":20,"tags":21,"resolved":22},"NEWS_ARTICLE:950","news","NEWS_ARTICLE",950,"资讯","每天白嫖 WorkBuddy 100 积分，我让WorkBuddy自己领","博客园","有没有小伙伴跟我一样，每天都去白嫖 WorkBuddy 的 100 积分，每天都怕忘记领。 其实我早就开了会员，但还是会有积分焦虑，天天惦记着今天的积分领没领。后来我发现 WorkBuddy 可以自己领积分，今天把这个技能分享给小伙伴们。 Buddy 加油站每天签到领 100 积分，连续签满 7 天","https:\u002F\u002Fimg2024.cnblogs.com\u002Fblog\u002F2381533\u002F202609\u002F2381533-20260910080820041-1607850292.png","","\u002Fnews\u002F950",[18,19],"2026","人工智能",{},[19],true,"consumer-content-detail-v1",{"sourceName":12,"authorName":25,"categoryName":19,"summary":13,"description":13,"publishTime":26,"updateTime":27,"sourceUrl":28,"language":29},"程序员晓凡","2026-09-10T08:09","2026-09-11T15:22","https:\u002F\u002Fwww.cnblogs.com\u002Fxiezhr\u002Fp\u002F22914931","中文",{"format":31,"policy":32,"normalized":22,"html":33,"text":34,"wordCount":35,"hasBody":22},"HTML","NEWS_CONTENT_V1","\u003Cp>有没有小伙伴跟我一样，每天都去白嫖 WorkBuddy 的 100 积分，每天都怕忘记领。\u003C\u002Fp>\n\u003Cp>其实我早就开了会员，但还是会有积分焦虑，天天惦记着今天的积分领没领。后来我发现 WorkBuddy 可以自己领积分，今天把这个技能分享给小伙伴们。\u003C\u002Fp>\n\u003Cp>Buddy 加油站每天签到领 100 积分，连续签满 7 天还有一次 1000 积分的奖励。麻烦在于坚持，忙起来忘了领，断一天，连续奖励重新算，这笔账怎么算都亏。\u003C\u002Fp>\n\u003Cp>第一步，添加技能。在对话框输入 @，选中「专家.技能.连接器」，搜索「积分助手」，找到后点安装。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fi1.wp.com\u002Fimg2024.cnblogs.com\u002Fblog\u002F2381533\u002F202609\u002F2381533-20260910080820041-1607850292.png?w=720&quality=65&strip=all\" alt=\"选中专家.技能.连接器\">\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fi1.wp.com\u002Fimg2024.cnblogs.com\u002Fblog\u002F2381533\u002F202609\u002F2381533-20260910080820122-1759312041.png?w=720&quality=65&strip=all\" alt=\"搜索到积分助手技能\">\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fi1.wp.com\u002Fimg2024.cnblogs.com\u002Fblog\u002F2381533\u002F202609\u002F2381533-20260910080820001-601766956.png?w=720&quality=65&strip=all\" alt=\"安装技能\">\u003C\u002Fp>\n\u003Cp>第二步，看看这个技能能干啥。选中刚装的技能，直接问它。一是每天帮你去 Buddy 加油站签到领积分，二是还能派猫猫去旅行，每天再捡回来几积分。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fi1.wp.com\u002Fimg2024.cnblogs.com\u002Fblog\u002F2381533\u002F202609\u002F2381533-20260910080820004-357687123.png?w=720&quality=65&strip=all\" alt=\"选择刚才的技能\">\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fi1.wp.com\u002Fimg2024.cnblogs.com\u002Fblog\u002F2381533\u002F202609\u002F2381533-20260910080820150-1765822615.png?w=720&quality=65&strip=all\" alt=\"技能能干啥\">\u003C\u002Fp>\n\u003Cp>第三步，让它领今天的积分。输入「帮我签到领积分」，几秒钟之后，100 积分到手。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fi1.wp.com\u002Fimg2024.cnblogs.com\u002Fblog\u002F2381533\u002F202609\u002F2381533-20260910080819963-596337086.png?w=720&quality=65&strip=all\" alt=\"输入查看积分任务\">\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fi1.wp.com\u002Fimg2024.cnblogs.com\u002Fblog\u002F2381533\u002F202609\u002F2381533-20260910080820082-1145344439.png?w=720&quality=65&strip=all\" alt=\"积分就到手了\">\u003C\u002Fp>\n\u003Cp>到这里还没完，我这种懒人连每天说一句话都想省。跟它说「帮我设置每天9点自动领积分」，它会建一个自动化任务，每天早上 9 点自动执行签到。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fi1.wp.com\u002Fimg2024.cnblogs.com\u002Fblog\u002F2381533\u002F202609\u002F2381533-20260910080820098-991365549.png?w=720&quality=65&strip=all\" alt=\"设置定时任务\">\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fi1.wp.com\u002Fimg2024.cnblogs.com\u002Fblog\u002F2381533\u002F202609\u002F2381533-20260910080820083-764024187.png?w=720&quality=65&strip=all\" alt=\"自动化任务设置成功\">\u003C\u002Fp>\n\u003Cp>设置完可以在自动化任务列表里看到这条记录。第二天我特意没管它，到了点积分照常到账。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fi1.wp.com\u002Fimg2024.cnblogs.com\u002Fblog\u002F2381533\u002F202609\u002F2381533-20260910080820043-1964670581.png?w=720&quality=65&strip=all\" alt=\"自动化任务添加成功\">\u003C\u002Fp>\n\u003Cp>现在每天 100 积分自动到账，一个月下来多了 3000 多积分，加上连续签到的 1000 和旅行捡的零头，勉强够用了，也不用天天惦记这事。\u003C\u002Fp>\n\u003Cp>我是晓凡，再小的帆也能远航。热衷于分享一些好玩的实用的干货内容。\u003C\u002Fp>\n\u003Cp>如果你觉得今天这篇有收获，欢迎 点赞、在看、转发 三连，我们下篇见。\u003C\u002Fp>","有没有小伙伴跟我一样，每天都去白嫖 WorkBuddy 的 100 积分，每天都怕忘记领。 其实我早就开了会员，但还是会有积分焦虑，天天惦记着今天的积分领没领。后来我发现 WorkBuddy 可以自己领积分，今天把这个技能分享给小伙伴们。 Buddy 加油站每天签到领 100 积分，连续签满 7 天还有一次 1000 积分的奖励。麻烦在于坚持，忙起来忘了领，断一天，连续奖励重新算，这笔账怎么算都亏。 第一步，添加技能。在对话框输入 @，选中「专家.技能.连接器」，搜索「积分助手」，找到后点安装。 第二步，看看这个技能能干啥。选中刚装的技能，直接问它。一是每天帮你去 Buddy 加油站签到领积分，二是还能派猫猫去旅行，每天再捡回来几积分。 第三步，让它领今天的积分。输入「帮我签到领积分」，几秒钟之后，100 积分到手。 到这里还没完，我这种懒人连每天说一句话都想省。跟它说「帮我设置每天9点自动领积分」，它会建一个自动化任务，每天早上 9 点自动执行签到。 设置完可以在自动化任务列表里看到这条记录。第二天我特意没管它，到了点积分照常到账。 现在每天 100 积分自动到账，一个月下来多了 3000 多积分，加上连续签到的 1000 和旅行捡的零头，勉强够用了，也不用天天惦记这事。 我是晓凡，再小的帆也能远航。热衷于分享一些好玩的实用的干货内容。 如果你觉得今天这篇有收获，欢迎 点赞、在看、转发 三连，我们下篇见。",576,{"id":6,"kind":7,"title":11,"summary":13,"image":14,"href":16,"meta":37,"badge":10,"author":12,"stats":-1,"accent":38,"coverRatio":39,"tags":40},"2026 · 人工智能","#2563eb","16 \u002F 10",[19],{"targetType":8,"targetId":9,"likedByMe":42,"likeCount":43,"commentCount":43,"contentLikeCount":43,"contentCommentCount":43,"sourceLikeCount":43,"sourceCommentCount":43},false,0,[45,52,59,66,73,79,86,93],{"id":46,"kind":7,"title":47,"summary":48,"image":49,"href":50,"meta":37,"badge":10,"author":12,"stats":-1,"accent":38,"coverRatio":39,"tags":51},"NEWS_ARTICLE:930","基于 vLLM+Nginx 构建负载均衡推理集群","企业内部私有环境部署大模型推理集群时，很容易遇到流量调度混乱、节点负载失衡、会话上下文丢失、接口缺少鉴权防护等一系列问题，单 vLLM 推理节点难以支撑并发请求。本文基于 Ubuntu 22.04 系统环境，搭建 Nginx + vLLM-Semantic-Router + vLLM-Router","https:\u002F\u002Fimg2024.cnblogs.com\u002Fblog\u002F1379525\u002F202609\u002F1379525-20260910165534385-2022408098.png","\u002Fnews\u002F930",[19],{"id":53,"kind":7,"title":54,"summary":55,"image":56,"href":57,"meta":37,"badge":10,"author":12,"stats":-1,"accent":38,"coverRatio":39,"tags":58},"NEWS_ARTICLE:932","2026年AI编程工具大全，33个主流工具一次看懂","事情是这样的，前两天看到一张图，是某个社区官网的「支持的工具」清单，我数了数，整整31个AI编程工具。 两年前这份清单撑死5个，现在直接31个，而且我居然每一个都认识。。。 干脆整理成一篇，顺手把最近字节的TraeWork和豆包工作也补了进来，凑成33个。 今天给大家推荐一遍，每个工具说说它是干什么","https:\u002F\u002Fimage.kjdaohang.com\u002Fimg\u002F20260909210838518.png","\u002Fnews\u002F932",[19],{"id":60,"kind":7,"title":61,"summary":62,"image":63,"href":64,"meta":37,"badge":10,"author":12,"stats":-1,"accent":38,"coverRatio":39,"tags":65},"NEWS_ARTICLE:935","[Agent Memory \u002F 强化学习] MemPO源码学习笔记 ---（1）--- 总体","[Agent Memory \u002F 强化学习] MemPO源码学习笔记 （1） 总体 目录[Agent Memory \u002F 强化学习] MemPO源码学习笔记 （1） 总体0x00 概要0x01 基础 & 背景1.1 用RL训练记忆系统的要点1.2 主要难点1.3 主要思路1.4 RL训练方案1.","https:\u002F\u002Fimg2024.cnblogs.com\u002Fblog\u002F1850883\u002F202609\u002F1850883-20260906190854637-986949885.jpg","\u002Fnews\u002F935",[19],{"id":67,"kind":7,"title":68,"summary":69,"image":70,"href":71,"meta":37,"badge":10,"author":12,"stats":-1,"accent":38,"coverRatio":39,"tags":72},"NEWS_ARTICLE:940","LLama-Factory 实现大模型LoRA-SFT微调指南","LLaMA Factory 是一款开源、低代码、一站式大语言与多模态模型微调框架，用于降低大模型的微调落地门槛。框架兼容 Qwen、LLaMA、ChatGLM、LLaVA 等上百款主流开源模型，支持增量预训练、SFT 监督微调、DPO、KTO、ORPO 等多种训练对齐方案，原生集成 LoRA、QLo","https:\u002F\u002Fimg2024.cnblogs.com\u002Fblog\u002F1379525\u002F202609\u002F1379525-20260909140111199-832484524.png","\u002Fnews\u002F940",[19],{"id":74,"kind":7,"title":75,"summary":76,"image":15,"href":77,"meta":37,"badge":10,"author":12,"stats":-1,"accent":38,"coverRatio":39,"tags":78},"NEWS_ARTICLE:949","AI知识库，是捷径吗？","从信息化到数字化，再到当下的智能化，技术进步带来的效率提升，如果往好处想应该是：节省更多的时间和成本，用来做更多的事情。但从现实的角度看，节流比开源来得容易。","\u002Fnews\u002F949",[19],{"id":80,"kind":7,"title":81,"summary":82,"image":83,"href":84,"meta":37,"badge":10,"author":12,"stats":-1,"accent":38,"coverRatio":39,"tags":85},"NEWS_ARTICLE:977","【OpenClaw具身硬件】ZeroClaw 源码阅读笔记（4）--- 代码执行","【OpenClaw具身硬件】ZeroClaw 源码阅读笔记（4） 代码执行 目录【OpenClaw具身硬件】ZeroClaw 源码阅读笔记（4） 代码执行0x00 概要0x01 代码合成1.1 核心思想1.2 业务逻辑具体应用场景能力体现1.3 实现细节生成种类Rust 代码Arduino CLI的","https:\u002F\u002Fimg2024.cnblogs.com\u002Fblog\u002F1850883\u002F202608\u002F1850883-20260823212850242-1723558087.png","\u002Fnews\u002F977",[19],{"id":87,"kind":7,"title":88,"summary":89,"image":90,"href":91,"meta":37,"badge":10,"author":12,"stats":-1,"accent":38,"coverRatio":39,"tags":92},"NEWS_ARTICLE:985","机器学习项目：客户分群——K-Means 聚类从选参到业务画像的完整实战","商场用户分群： 一、前言 在商场运营中，面对成千上万的顾客，如果用同一套营销策略对待所有人，效果往往事倍功半。高收入的中年人和月光族的年轻人等等群体，消费习惯和偏好截然不同——这就需要用户分群（Customer Segmentation）：根据用户的年龄、收入、消费行为等特征，将相似的用户归为一类，","https:\u002F\u002Fimg2024.cnblogs.com\u002Fblog\u002F3775135\u002F202609\u002F3775135-20260908154332888-1132576367.png","\u002Fnews\u002F985",[19],{"id":94,"kind":7,"title":95,"summary":96,"image":97,"href":98,"meta":37,"badge":10,"author":12,"stats":-1,"accent":38,"coverRatio":39,"tags":99},"NEWS_ARTICLE:986","千问大模型完整RLHF全参数微调指南","大模型微调是实现模型领域定制的核心方案，本文承接《千问大模型二次 LoRA‑SFT 指令微调指南》部分内容，聚焦 Qwen3.5‑Base 纯文本基座全参数微调，完整复现 ChatGPT 风格 RLHF 对齐工程链路，覆盖数据预处理、SFT 监督微调、RM 奖励模型训练、PPO 强化学习、DPO 直","https:\u002F\u002Fimg2024.cnblogs.com\u002Fblog\u002F1379525\u002F202609\u002F1379525-20260908150528296-1541712777.png","\u002Fnews\u002F986",[19]]