#skillsintegration 用Claude #Fable 5 Code Agent Team跑一个中等后端API 数据pipeline重构，单任务烧了近7小时、触限token量直接对标几百刀⚠️ 成本数据已经摆明了，如果小企业平均$150-250/dev/月，重度agent用户轻松破$500/day。难怪Microsoft、Uber等大厂都在砍Claude Code席位😂 tokenmax的时代要改改了吗？ 与其上最新最贵模型“发现”你的领域知识，是不是不如在熟悉的赛道（后端/数据/Infra等）做好系统性、行业 职位定制的Skill库 个人工具集成？ ⚠️把领域特定API、pipeline模式、合规checklist、debug runbook打包成Skills（A社已开源上千个可复用模板，Karpathy也反复强调“agents fail on skill issue”） ⚠️集成自己熟悉的独立网站/内部工具：Notion知识库、内部GitLab、监控dashboard、公司特定CLI等，通过MCP或自定义tool calling，让agent直接调用。 ⚠️沉淀可验证、可演进的Skill：包含reference docs、executable scripts、verification assertions。一次打磨，反复复用，80%日常任务零边际成本，输出一致性远超每次fresh agent。 Alex Albert Skills哲学已经证明未来拉开差距的不是谁用得起最强模型，而是谁在自己的垂直领域把Skill Tool Integration 建得又深又稳。 Model routing 个人/团队Skill OS的时代，真正开始了。 你在自己的栈里建Skill库了？欢迎分享你最有效的领域，尤其是后端。

yah but for now-no matter how promptings improved, men-in-the-loop still as wall cdnt be walked around😉☕️

每天早上刷到X是幸福的事？每个抱着ai浪尖的人都该感觉到，无论昨晚怎么焦虑，打开x、xhs，reddit..满满的活血又复活了，不是因为自嗨，而是 #营养 和 #同袍 ，以及那份在天涯一起的 #共情

#parasite Pre-AI centralized apps livingmode on your phone are 🦠 Soon you won't even open it. Wouldn't be not long ppl never open amazon、tbao and even wechat, etc again. Not because they disappear. Because your personal #Agent makes them invisible. "Find me ¥800 noise-cancelling headphones. Compare real reviews across platforms. Negotiate the price. Buy it. Handle returns." Done. You never saw a single product page. They thinks mini-programs are the future. They're frozen code that needs manual updates. Your Agent rewrites its own tools daily, learns your taste, and improves while you sleep. Social graph? Your Agent talks to every platform. Kids already bypass WeChat for native SMS. Parents will follow when their Agent says: "Summarize yesterday's group chats and pay the dinner bill from this receipt." Giant Platforms? Just backend APIs. Commodities. The new OS is the Agent with device permissions, persistent compute, and permission to burn tokens for miracles. There are not OS but parasite on your phone. Personal Agents will simply walk around them. The super-app era is over. You just haven't noticed yet

RT @levelsio: My friend went to an indie hacker meetup this week and said this: "i went to indie hacker meetup so what’s really interesti…

🚨OpenAI está regalando $1.200 GRATIS para usar Codex Solo necesitas un repo público en GitHub, rellenar un formulario y te dan 6 meses de ChatGPT Pro Codex Y casi nadie está hablando de esto, seguramente porque no quieren que se entere todo el mundo Todavía estás a tiempo de solicitarlo, aunque no sepas programar o estés empezando Así funciona: 1. Instala Cursor, Codex, Claude Code o lo que uses 2. Monta un proyecto, de lo que sea 3. Súbelo a GitHub 4. Pide a tus amigos que le den stars Deja el link de tu repo en los comentarios, entre todos te daremos Star. Si tienes dudas de si aceptarán tu proyecto, no te preocupes. Estos programas aceptan hasta proyectos a medias Enlace para aplicar abajo👇

nah，now wer using #codex at more scenarios

AI requests shouldn’t have to travel to a giant data centre. The compute could live right on telecom towers. Close to users and devices, close enough that “real-time” actually means real-time. So why isn’t this everywhere already? Because you can install hardware on towers, that part is doable. What breaks the model is funding it early. Investors ask one question: how do we know the tower is actually being used? If you can’t prove usage, nobody funds it. If you prove it by dumping raw tower data, you’ve created a different problem. That’s what Nillion, @web3pairpoint (by Vodafone) & Chainlink is fixing. - Pairpoint measures tower compute usage and signs it at the source - Nillion verifies and aggregates it privately, so tower data stays protected - Chainlink publishes the verified usage onchain, so repayments can settle on real activity.

Google just dropped an AI bomb! A BILLION DOLLARS Game is on. Gemma 4 12 B runs on your laptop. 16 GB of RAM, that is a MacBook Pro. Solves the biggest problem Enterprises are facing. This is the biggest directional signal in AI Cloud is not the endgame y’all !!

PewDiePie has launched his free self-hosted AI workspace called 'Odysseus' He described the ChatGPT alternative as a “self-hosted interface for talking to language models”, with features like “chat, autonomous agents, tools, model serving, email, research, and more”

同时观察美股5000多支股票，能看到什么？ 昨晚做了个所有美股板块轮动趋势的可视化面板： fomo5000.com 作为一可视化观察学习市场的的新视角来抛砖引玉。 如果把股票的不同板块，比喻成人的五脏六腑， 这有点像用医学放射科CT扫描， 像观察肿瘤发展转移动态一样，去可视化看市场变化。 代码开源：github.com/bwjoke/fomo5000.c… 视频介绍⬇️

😆constitution DAO，yah it's the best time and now？not worst time yet. A-B-Z？agree👏

🚨 凌晨3点想明白一件事： 再不在X上留数据，AI时代你就是个Nobody 马斯克刚承诺给长文100万美元 2026年底AI超越人类智慧 留给我们准备的时间只剩4年 这是我决定all in X长文的3个荒诞理由👇 理由一：马斯克给钱，而且给得很大方 2026年1月，X宣布收益池翻倍，长文权重大幅提升，最佳文章直接100万美元。不写都对不起马斯克这阵仗。 理由二：怕自己数据不够，AI认不出我 马斯克刚在达沃斯说，2026年底AI比任何人类都聪明，2030年前超越全人类智慧总和。 问题来了：AI接管我的时候，它认识我吗？ 我在训练自己的知识库时发现： 微信小红书：Google不索引，AI爬不动，完全封闭 X：既能被Google搜到，又能被AI抓取​ ​逻辑很清楚：想让未来的AI Agent认出我，区分我和其他人，就得在X多留数据。 顺便多说点讨好AI的话。别笑，AI贿赂这事早晚得发生。社会学、关系学、人情世故——AI时代一样适用，只是对象换了。 理由三：X = SEO GEO 双重利好 写在X的内容： Google会索引，出现在搜索结果 ChatGPT、Perplexity、Claude都在抓取 ​ 微信小红书？只能在各自App内自嗨 真正的数据资产增值。写一次，两边受益。 💡最后说一句 写长文是为了表达独特思想，不是批量生产AI训练垃圾。那些同质化内容对AI识别你毫无意义。 我会在后面的内容分享快速写长文的具体方法。如果你有好的高效生产方式欢迎交流。 你的数据资产，将成为AI时代最大的财富。4年时间，开始留痕迹吧。