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me realizing I was still inside the loop > built the agent > opened a session > typed the prompt myself each time > thought "I should automate this" > watched Boris Cherny land 259 PRs in 30d without opening his IDE once > he deleted his IDE in November > reread the definition… https://twitter.com/Blum_OG/status/2064083743435042868/video/1
中文: 我意识到自己还在循环中 加底;建立了中介 > 开场 每次输入提示 认为“我应该自动化这个” 观看鲍里斯·切尔尼30d获得259张PR,却一次未打开 他于11月删除了自己的IDE 重读定义......
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RT @Blum_OG: Claude Code's "done, tests pass" is a confidence claim, not a test run the model is trained to deliver fast running tests be…
中文: RT @Blum_OG:克劳德·迪·赛德的“完成,测试通过”是一种自信的主张,而不是一次试运行 该模型被训练以快速交付 运行测试是......
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Claude Code's "done, tests pass" is a confidence claim, not a test run the model is trained to deliver fast running tests before stopping isn't the default behavior. so it doesn't you spot the bug, ask Claude to check, it finds it that loop should have been one session 4… https://twitter.com/Blum_OG/status/2063962018017632637/video/1
中文: 克劳德·科德的“完成、考试通过”是一种自信的主张,而不是试运行 该模型被训练以快速交付 停止前运行测试并非默认行为。 你发现这个漏洞,让克劳德去检查,它找到了 那个循环本该是一次 4.
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RT @Blum_OG: people keep asking which AI model to use for autonomous agents the model choice matters less than the memory architecture He…
中文: RT @Blum_OG:人们不断询问使用哪种AI模型来使用自主代理 模型选择比内存架构更重要 他......
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people keep asking which AI model to use for autonomous agents the model choice matters less than the memory architecture Hermes runs three memory layers: > short-term for the current session > working memory for active task context > `MEMORYmd` + `USERmd` that load at the… https://twitter.com/Blum_OG/status/2063717430204207302/video/1
中文: 人们不断询问要使用哪种人工智能模型来使用自主代理 模型选择比内存架构更重要 爱马仕拥有三层记忆: 当前会议的短期情况 >用于主动任务环境的工作记忆 在 加载到
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Claude told you the bug was fixed 2 hours later the function it called never existed Anthropic engineer: "Every agent in production lies. We measured it. The good ones lie less, the great ones catch the lie before the user does." most devs learn to double-check everything and… https://twitter.com/Blum_OG/status/2063669903996125320/video/1
中文: 克劳德告诉你,这个漏洞是被修复的 两个小时后,它称之为从未存在过 人类工程师:“生产中的每一位代理人都是谎言。”我们测量了它。好的人少撒谎,而那些优秀的人,在用户面前就能追上谎言。 大多数开发人员会学会仔细检查所有内容 还有......
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RT @Blum_OG: closing your laptop does not stop Claude unless you never set up Routines Claude shipped a full automation stack between Mar…
中文: RT @Blum_OG:关闭笔记本电脑并不能阻止克劳德 除非你从未设置过常规 克劳德在3月之间运送了一个完整的自动化栈......
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the hard part of multi-agent systems isn't building agents it's knowing which agent in a 20-step chain actually helped if you only get a result at the very end there's no obvious way to trace back who deserved credit EOM from Harvard solves this with one rule: > when agent B… https://twitter.com/Blum_OG/status/2063313653504565361/video/1
中文: 多代理系统的难点不是建筑代理 它知道20步链条中的哪个代理人确实提供了帮助 如果你只在最后结果 没有明显的方法可以追溯谁值得获得赞誉 哈佛大学的EOM通过一条规则解决了这个问题: 当代理人B......
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closing your laptop does not stop Claude unless you never set up Routines Claude shipped a full automation stack between March and April /loop in March. Auto Mode March 24. Cloud Routines April 14 tier 1 - /loop (while your terminal is open) > type it once, Claude repeats it… https://twitter.com/Blum_OG/status/2063276453303579032/video/1
中文: 关闭笔记本电脑并不能阻止克劳德 除非你从未设置过常规 克劳德在3月至4月期间出货了一个完整的自动化系统 /3月循环。自动模式 3月24日。云版 4月14日 一级 - / 循环(当终端打开时) 输入一次,克劳德重复一遍......
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RT @Blum_OG: $150k salary gap separates people who "know LangChain" from people who can build systems that survive production the gap is…
中文: RT @Blum_OG:15万美元的薪资差距将“了解LangChain”的人分开 能够构建在生产中存活的系统的人 差距是......
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$150k salary gap separates people who "know LangChain" from people who can build systems that survive production the gap is not about knowing more models or frameworks it comes down to one thing: the harness same Claude Opus 4.5, two different harnesses: > Claude Code… https://twitter.com/Blum_OG/status/2062914579156390255/video/1
中文: 15万美元的薪资差距使“了解朗链”的人分开 能够构建在生产中存活的系统的人 差距并不是关于了解更多模型或框架 归结于一件事:安全带 相同的克劳德·奥弗斯 4.5,两种不同的线束: 致我的代码......
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watch two companies use the same frontier model one hooks it up to their systems the other hooks it up and hands it a skill library the second company has a different kind of asset > its agents know how to prep a sales call > how to read a customer escalation > when to… https://twitter.com/Blum_OG/status/2062882850072862879/video/1
中文: 观察两家公司采用相同的前沿模式 一个人把它连接到他们的系统上 另一个把它勾起来,递给它一个技巧库 第二家公司拥有另一种资产 其代理人员知道如何准备销售电话 如何解读客户的升级 何时......
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RT @Blum_OG: coding with an AI agent is turn-based by default > Claude makes a change > you check it manually > type back, repeat the tea…
中文: RT @Blum_OG:使用AI代理进行编程默认为 格特;克劳德做出改变 你手动检查 返回,重复 茶......
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coding with an AI agent is turn-based by default > Claude makes a change > you check it manually > type back, repeat the teams moving fastest are not the ones with better prompts they're the ones who encoded their manual review steps as skills Claude can run itself > a… https://twitter.com/Blum_OG/status/2062559557226729692/video/1
中文: 使用AI代理进行编程默认为 格特;克劳德做出改变 你手动检查 返回,重复 速度最快的队伍并不是那些发出更好提示的队伍 他们正是将手动评审步骤编码为克劳德能够自行运行的技能的人 网址:
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your agent app has three UI patterns most teams fall into one by accident > Controlled you pre-build React components, the agent picks which to render - token tax: ~400 tokens per tool, 25 components = 10k tokens per turn - agent starts picking the wrong component past 15 tools… https://twitter.com/Blum_OG/status/2062527973270458440/video/1
中文: 你的代理应用程序有三种用户界面模式 大多数队伍都因意外陷入其中 加以控制 你预先构建了 React 组件,即代理选择要渲染的组件 - 代币税:每台工具约400枚代币,25个组件,每折点10k - 代理开始选择错误的组件,超过15个工具......
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RT @Blum_OG: 6 months ago, "self-improving local agent" required data center hardware this year it doesn't three things converged: Hermes…
中文: RT @Blum_OG:6个月前,需要使用数据中心硬件进行“自我改进” 今年没有 三件事汇合在脑后:爱马仕......
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6 months ago, "self-improving local agent" required data center hardware this year it doesn't three things converged: Hermes Agent, Qwen 3.6, and DGX Spark > Hermes saves completed tasks as skill files - and reuses them > Qwen 3.6 35B beats last year's 120B models at 1/3 the… https://twitter.com/Blum_OG/status/2062249214592036973/video/1
中文: 6个月前,需要“自我改进的本地代理”所需的数据中心硬件 今年没有 融合了三件事:Hermes Agent、Qwen 3.6 和 DGX Spark > Hermes 将已完成的任务保存为技能文件,并重复使用 Qwen 3.6 35B 比去年的 120B 型号 1/3 更胜 . . .
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RT @HarryTandy: MOST AI APPS BREAK BEFORE THE FIRST LINE OF CODE Because the builder starts with implementation Not with the mental model…
中文: RT @HarryTandy:大多数AI应用在第一行代码之前就开始了 因为构建器从实现开始 与心理模型不同......
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QWEN3.7-PLUS JUST DROPPED > ran for 11+ hours straight > generated 10,000+ lines of code > triggered 1,000+ agent calls > shipped a full English vocabulary app from scratch and that is not the headline feature the model combines visual understanding & code execution in one… https://twitter.com/Blum_OG/status/2061851309683228840/video/1
中文: QWENG3.7-PLUS 刚刚掉头 连续跑步超过11小时 已生成10000多行代码 已触发1000多个代理电话 从零开始发送了一款完整的英语词汇应用程序 这并非标题特征 该模型将视觉理解与编程;代码执行合集在一个...
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RT @Blum_OG: most AI builders skip the foundation and ship broken products here are the 10 concepts that make the difference: 1/ tokens -…
中文: RT @Blum_OG:大多数人工智能构建者会跳过基础并运送损坏的产品 以下是产生差异的10个概念: 1 个代币 -...
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most AI builders skip the foundation and ship broken products here are the 10 concepts that make the difference: 1/ tokens - everything is priced, limited, and rate-limited in tokens > 1,000 tokens ≈ 750 words. your prompt got cut off because you ran out 2/ embeddings - AI… https://twitter.com/Blum_OG/status/2061813339626381624/video/1
中文: 大多数人工智能构建者会跳过基础并运送破损的产品 以下是产生差异的10个概念: 1/ 代币——所有代币均为定价、限价和费率限制 1000个代币 ≈750字。你的提示被切断了,因为你用完了 2/ 嵌入 - 人工智能......
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RT @Blum_OG: $25 per 1M output tokens is a lot especially when you are regenerating the same dashboard for the 4th time the real workflow…
中文: RT @Blum_OG:每100万个输出代币可赚25美元 尤其是当你第四次重新生成同一个仪表板时 真正的工作流程......
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$25 per 1M output tokens is a lot especially when you are regenerating the same dashboard for the 4th time the real workflow routes each model to what it is priced for > Kimi K2.6 at ~$0.95/$4 per 1M tokens handles the messy execution loop > Opus 4.8 at $5/$25 per 1M tokens… https://twitter.com/Blum_OG/status/2061556308332130693/video/1
中文: 每100万个输出代币25美元非常实惠 尤其是当你第四次重新生成同一个仪表板时 真正的工作流程将每个型号的价格都路由到 基米K2.6,每100万枚代币售价约0.95美元,可处理混乱的执行循环 网址:Opus 4.8,每100万枚代币售价5美元/25美元......
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RT @Blum_OG: 5 folders. that is the entire structure you need your highlights, your Google Docs, your voice memos none of them surface wh…
中文: RT @Blum_OG:5 个文件夹。这就是你需要的整个结构 你的精彩集锦、谷歌文档、语音备忘录 它们都没有浮出水面......
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RT @Blum_OG: > downloaded Claude Code > thought it was just another AI chatbot > opened it up > found a chat bar > typed a prompt > nothing…
中文: RT @Blum_OG: > 下载 克劳德密码 我以为这只不过是另一个人工智能聊天机器人 快点;打开它 找到了一个聊天栏 输入提示 没什么......
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5 folders. that is the entire structure you need your highlights, your Google Docs, your voice memos none of them surface what you need when you need it Obsidian fixes this because notes are plain text files on your machine no subscription to access them. no company decision… https://twitter.com/Blum_OG/status/2061329109452493128/video/1
中文: 5个文件夹,即你需要的整个结构 你的精彩内容、你的谷歌文档、你的语音备忘录 当你需要时,它们都不会暴露出你需要的东西 黑曜石修复了这一点,因为笔记是机器上的纯文本文件 无需订阅即可访问它们。无公司决定......
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RT @Blum_OG: 90 days from now you either have a system that runs without you or you are still manually doing the same tasks. that gap is…
中文: RT @Blum_OG:从现在起90天后,你要么拥有一个没有你运行的系统 或者你仍在手动执行相同的任务。 那个差距是......
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one markdown file. that is the entire subagent Claude Code subagents are separate Claude instances inside your session each gets its own context window, does one task returns only the summary without them: > one session reads 40 files, generates code, reviews it, runs tests… https://twitter.com/Blum_OG/status/2061116862390231287/video/1
中文: 一个markdown文件。即整个子代理 克劳德代码子代理是会话中的单独克劳德实例 每个都有自己的上下文窗口,完成一个任务 仅返回摘要 没有他们: 一次会话读取40个文件,生成代码,进行评测,运行测试......
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one markdown file. that is the entire subagent Claude Code subagents are separate Claude instances inside your session each gets its own context window, does one task returns only the summary without them: > one session reads 40 files, generates code, reviews it, runs tests… https://twitter.com/Blum_OG/status/2061116467890749497/video/1
中文: 一个markdown文件。即整个子代理 克劳德代码子代理是会话中的单独克劳德实例 每个都有自己的上下文窗口,完成一个任务 仅返回摘要 没有他们: 一个会话读取40个文件,生成代码,进行审核,运行测试......
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90 days from now you either have a system that runs without you or you are still manually doing the same tasks. that gap is what Hermes Agent is actually about it is not a chatbot. it is infrastructure 4 things separate it from every other agent framework: > persistent memory… https://twitter.com/Blum_OG/status/2061052353181053412/video/1
中文: 90天后,你要么拥有一个没有你运行的系统 或者你仍在手动执行相同的任务。 那个空白正是爱马仕代理公司真正的 它不是聊天机器人,而是基础设施 将其与其他所有代理框架区分开来的4件事: 持久性记忆......
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RT @Blum_OG: > spent years switching between 5 apps to do 1 thing > WhatsApp to find the context > Gmail to find the email > browser to ver…
中文: RT @Blum_OG: > 花了数年时间在5个应用程序之间切换,以完成1项操作 WhatsApp 查找上下文 邮箱:Gmail 查找邮件 浏览器到...
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> spent years switching between 5 apps to do 1 thing > WhatsApp to find the context > Gmail to find the email > browser to verify the startup > Gmail again to draft the intro > WhatsApp again to confirm it was sent > 20 mins for a 2-sentence intro email > not hard work > just… https://twitter.com/Blum_OG/status/2060771504288071776/video/1
中文: 花费数年时间在5个应用程序之间切换,以完成1项操作 WhatsApp 查找上下文 邮箱:Gmail 查找邮件 浏览器以验证启动 再次通过Gmail起草该介绍 WhatsApp 再次确认已发送 加点;20分钟,用于两语静的介绍邮件 不辛苦 加时以回;仅......
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> we gave agents more memory > they got more confident > but less accurate Andrej Karpathy: "you rarely ever write or edit the wiki manually; it's the domain of the LLM" most company AI stalls after 3 weeks for the same reason calls sit in Gong. SOPs sit in Notion corrections… https://twitter.com/Blum_OG/status/2060725363295068183/video/1
中文: 我们给了代理更多的记忆 他们变得更加自信了 但准确性较低 安德烈·卡帕蒂:“你很少会手动编写或编辑维基;它是LLM的域名 大多数公司的人工智能在三周后也会因同样的原因而停滞不前 电话在龚坐。SOP 在 NOTION 中 更正......
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RT @Blum_OG: Anthropic is rolling out Claude Mythos "in the coming weeks" the most capable hacking model ever built. going live soon the…
中文: RT @Blum_OG:Anthropic 将在未来几周内推出 Claude Mythos 有史以来最强大的黑客模式。即将上线 ......
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Anthropic is rolling out Claude Mythos "in the coming weeks" the most capable hacking model ever built. going live soon the model found hidden flaws in every major OS and every major browser thousands of them. many critical > 83.1% on CyberGym vulnerability reproduction >… https://twitter.com/Blum_OG/status/2060431440085418396/video/1
中文: Anthropic 将在未来几周内推出 Claude Mythos 有史以来最强大的黑客模式。即将上线 该模型发现每个主要操作系统和每个主要浏览器都存在隐藏缺陷 成千上万个。许多至关重要 在 CyberGym 漏洞复制方面占 83.1% 网址:
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RT @Blum_OG: the people getting weak Claude answers are not using the wrong model > they are opening a new chat > asking one question > ge…
中文: RT @Blum_OG:克劳德回答的人并没有使用错误的模型 他们正在开启一场新的聊天 提问 至上;g...
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Apple's Siri has been nearly 15 years old and mostly unchanged iOS 27 changes that. ships as early as September the biggest AI overhaul in Apple's history here is what is actually changing: > AI-powered web search - built into Search or Ask interface > rebuilt on Google… https://twitter.com/Blum_OG/status/2060377662648930353/video/1
中文: 苹果的Siri已有近15年历史,且基本未变 iOS 27 会更改,最早将于九月发布 苹果历史上规模最大的人工智能变革 实际变化的是什么: 支持人工智能的网页搜索——内置于搜索或提问界面中 在谷歌上重建......
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the people getting weak Claude answers are not using the wrong model > they are opening a new chat > asking one question > getting one answer > starting from zero the next day > no personal instructions > no project context > no reference files > no repeatable workflows > no… https://twitter.com/Blum_OG/status/2060297064785809593/video/1
中文: 得到弱势克劳德回答的人并没有使用错误的模式 他们正在开启一场新的聊天 提问 获取一个答案 从零开始第二天 没有个人指示 没有项目背景 没有参考文件 没有可重复的工作流程 不......
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RT @Blum_OG: Anthropic just dropped Opus 4.8 > sharper judgment > more honesty about its own progress > works independently for longer > s…
中文: RT @Blum_OG:Anthropic 刚刚退出了 Opus 4.8 更敏锐的判断力 更诚实地对待自身进展 工作时间更长 至
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Anthropic just dropped Opus 4.8 > sharper judgment > more honesty about its own progress > works independently for longer > same price as before - fast mode: same model, ~2.5x speed, 3x cheaper than before turn it on with /fast in Claude Code API access via waitlist at… https://twitter.com/Blum_OG/status/2060077822455251216/video/1
中文: Antropic 刚刚下跌了 Opus 4.8 更敏锐的判断力 更诚实地对待自身进展 工作时间更长 价格与之前相同 - 快速模式:相同型号,约2.5倍速度,比之前便宜3倍 使用克劳德密码中快速打开 通过候补名单获取API服务:
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> ran 20 agents > felt completely productive > shipped almost nothing > the problem is not discipline > it is architecture starting an agent is one keystroke closing the loop on it is not cheap at all > you are the GIL of your AI agents > they all run at once > any work… https://twitter.com/Blum_OG/status/2060041935595647434/video/1
中文: 运营20名代理 感觉完全有效率 几乎什么也没发货 问题不在于纪律 它是建筑 启动代理是一个按键 关闭它的循环根本不便宜 你就是你人工智能代理的关键 它们都同时运行 任何工作......
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3,575 char. that is the entire memory budget for a Hermes session two open-source coding agents two very different bets on what memory should do Hermes: memory frozen at session start OpenClaw: re-injected fresh every single turn > Hermes: ~1,300 tokens, never changing… https://twitter.com/Blum_OG/status/2059731232720671161/video/1
中文: 3,575 个字符。这是爱马仕会议的全部内存预算 两个开源的编码代理 记忆应该做什么,有两种截然不同的赌注 爱马仕:会话开始时记忆冻结 OpenClaw:每转一弯都重新注入新鲜剂 > 爱马仕:约1300个代币,永不改变......
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RT @Blum_OG: Jensen Huang said it twice, at two different conferences first: "the IT department of every company is going to be the HR dep…
中文: RT @Blum_OG:黄仁勋在两个不同的会议上两次表示 首先:“每家公司的IT部门都将成为人力资源部门。
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Jensen Huang said it twice, at two different conferences first: "the IT department of every company is going to be the HR department of AI agents in the future." then: "you're not going to lose your job to an AI. but you're going to lose your job to someone who uses AI." he… https://twitter.com/Blum_OG/status/2059598223778480186/video/1
中文: 黄仁勋在两个不同的会议上说了两次 首先:“未来,每家公司的IT部门都将成为人工智能代理的人力资源部门。” 然后:“你不会因为人工智能而失去工作,但你会因为一个使用人工智能的人而失去工作。” 他......
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RT @Blum_OG: > ran 5 tools for 2 years > Notion, Readwise, X bookmarks, browser bookmarks, ChatGPT > each one did its job fine > none of th…
中文: RT @Blum_OG: > 运行了5个工具,持续了2年 内容:注、阅读、X 书签、浏览器书签、ChatGPT 每个人的工作都做得不错 不,没有......
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> ran 5 tools for 2 years > Notion, Readwise, X bookmarks, browser bookmarks, ChatGPT > each one did its job fine > none of them talked to each other > every connection had to happen in my head > manually, every time, for every session > 34 Notion projects, 11 untouched for 3… https://twitter.com/Blum_OG/status/2059378568371577221/video/1
中文: 加长了5个工具,持续了2年 内容:Notion、Readwise、X 书签、浏览器书签、ChatGPT 每个人的工作都做得不错 他们彼此交谈都没有 我脑子里必须发生每一次联系 每次手动,每次 内容:34个,有11个未受影响,3个......
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RT @Blum_OG: 43,000 followers. 9 posts a day. no filming, no writing. tjrmindset clips one creator's long videos into 30-second moments a…
中文: RT @Blum_OG:4.3万粉丝。每天发布9篇。不拍戏,不写文字。 特米德塞特将一位创作者的长视频片段剪辑成30秒瞬间 a...
Blum
43,000 followers. 9 posts a day. no filming, no writing. tjrmindset clips one creator's long videos into 30-second moments and reposts them. that's the whole business the author grew a channel to 168,000 views in four weeks by hand got shadowbanned from posting too fast, and… https://twitter.com/Blum_OG/status/2059230534354542923/video/1
中文: 43000名粉丝。每天9次发布。不拍戏,不写。 特米德塞特将一位创作者的长视频片段剪辑成30秒瞬间 并转发它们。这就是全部的事 作者在四周内将频道的浏览量增长到16.8万次 因发布速度过快而被蒙上阴影,以及......
Blum
RT @Blum_OG: this guy pulled apart the full GPT/Claude pipeline 5 stages. architecture is the least of them > stage 1 - pretraining: mode…
中文: RT @Blum_OG:这家伙把完整的GPT/Claude管道拆了 5个阶段。建筑是其中最少的 第一阶段 - 预训练模式...
Blum
300 parallel agents. one brief. a folder of finished files by morning that is what Kimi K2.6 Agent Swarm actually delivers the unit of work is no longer a response - it is a project > 40 social psychology PDFs in. 100-page academic document out > 1 CV uploaded. 100 customized… https://twitter.com/Blum_OG/status/2059058175102312627/video/1
中文: 300 个并行代理。一个简报。一个文件文件夹,到早上完成 这正是基米K2.6特工斯威姆实际提供的 工作单位不再是回应——而是一个项目 40 份社会心理学PDF文件,包含100页学术文档 已上传1份简历。100份定制版......
Blum
this guy pulled apart the full GPT/Claude pipeline 5 stages. architecture is the least of them > stage 1 - pretraining: model reads the entire internet, predicts next word > stage 2 - data: 250B pages filtered down to clean, quality tokens > stage 3 - scaling: chinchilla math… https://twitter.com/Blum_OG/status/2058988102547284050/video/1
中文: 这家伙把完整的GPT/Claude管道拆掉了 5个阶段。建筑是其中最少的 第一阶段 - 预训练:模型读取整个互联网,预测下一个词 第二阶段 - 数据:250B页被过滤以清洁优质代币 第三阶段 - 缩放:奇奇拉数学......
Blum
one .claude/agents/ folder. 7 files. that is the entire setup. asking one AI session to be: architect + backend + frontend + QA + reviewer compounds mistakes silently wrong assumption in the plan > becomes wrong database model > becomes wrong API > becomes wrong UI the… https://twitter.com/Blum_OG/status/2058894939841294656/video/1
中文: 一个 .claude/agents/ 文件夹。7 个文件。这是整个设置。 要求一次人工智能会话是: 建筑师 + 后端 + 前端 + 质量保证 + 审核员 悄无声息地使错误复杂化 计划中的错误假设 成为错误的数据库模型 > 变得错误 API 变得错误
Blum
RT @Blum_OG: this guy used Claude Code for 12 months then switched to Codex for 30 days here is what no tutorial tells you about the swit…
中文: RT @Blum_OG:这家伙用了12个月的克劳德密码 然后切换到Codex 30天 以下是没有教程告诉你的关于这个转机的内容......
Blum
this guy used Claude Code for 12 months then switched to Codex for 30 days here is what no tutorial tells you about the switch: Codex is not a faster autocomplete > reads your codebase, writes and tests code > controls your Mac desktop, browses the web > remembers your… https://twitter.com/Blum_OG/status/2058653047241220488/video/1
中文: 这家伙用了12个月的克劳德密码 然后切换到Codex 30天 以下是关于该开关的无教程说明的内容: Codex 不是一个更快的自动完成程序 读取您的代码库、编写和测试代码 控制你的Mac桌面,浏览网页 记得你的......
Blum
RT @HarryTandy: > everyone in 2026 says they’re building ai agents > most are just wrapping a prompt in a fancy UI > you read one long…
中文: RT @HarryTandy: > 2026年,每个人都表示正在建立一家新闻机构 大多数只是用一个精美的界面包装一个提示 你读了一本长书......
Blum
RT @Blum_OG: nobody audits their Сlaude setup here's what that costs: > your bill creeps > your output drifts > you blame the model here…
中文: RT @Blum_OG:没有人会审核他们的 Сlaude 设置 费用是以下内容: 你的账单会悄悄走 你的输出波移 你责怪这个模型 在这里......
Blum
nobody audits their Сlaude setup here's what that costs: > your bill creeps > your output drifts > you blame the model here's what actually moves the needle: > 125+ keys exist in Claude Code's settings.json. official docs cover ~40 > fixing one cache_control breakpoint cut a… https://twitter.com/Blum_OG/status/2058504155963027495/video/1
中文: 没人会审核他们的 Сlaude 设置 费用是以下内容: 你的账单会悄悄走下来 你的输出波移 你责怪这个模型 真正推动针头的是什么: 在Claude Code的 settings.json 中存在 125 多个密钥。官方文档涵盖 ~40 修复一个缓存,控制断点会切断一个...
Blum
RT @Blum_OG: most people pick models by benchmark scores that's not where the real gap shows up the gap shows up in long agentic loops w…
中文: RT @Blum_OG:大多数人按基准评分选择模型 真正的差距并不在此 空白出现在长的特化循环中 w...
Blum
most people pick models by benchmark scores that's not where the real gap shows up the gap shows up in long agentic loops where a model rewrites itself over and over 3 models were tested on a task: build Tetris bot that plays and trains itself each model could: > read its… https://twitter.com/Blum_OG/status/2058280726622007567/video/1
中文: 大多数人按基准分数选择模型 真正的差距并不在此 空白出现在长的特效循环中 一个模型会一遍又一遍地重写 在一项任务上测试了3个模型:构建可自行运行和训练的俄罗斯方块机器人 每个模型都可以: 阅读内容......
Blum
"everyone uses AI. almost nobody understands how it works." that gap is real - and it's the whole point here's what the article actually explains: > tokens are reusable building blocks - 1 token ≈ 0.75 words > attention lets every word look at every other word at once > this… https://twitter.com/Blum_OG/status/2058190084369752476/video/1
中文: 每个人都使用人工智能,几乎没人理解它是如何运作的。 那个差距是真实存在的——而正是关键 文章实际上解释的内容是: > 令牌是可重复使用的积木 - 1个令牌 ≈ 0.75 字 注意力让每个词同时观察每一个单词 网址:
Blum
RT @Blum_OG: you're probably using 10% of what Claude can do not because the features are hidden because no one told you they exist > pr…
中文: RT @Blum_OG:你可能正在使用克劳德能做的10% 并非因为这些功能是隐藏的 因为没有人告诉你它们存在 加以;请向...
Blum
you're probably using 10% of what Claude can do not because the features are hidden because no one told you they exist > projects hold your documents and instructions permanently - no re-explaining yourself every session > artifacts produce working apps inside the chat - habit… https://twitter.com/Blum_OG/status/2057923019688005907/video/1
中文: 你可能正在使用克劳德能做的10% 并非因为这些功能是隐藏的 因为没有人告诉你它们存在 项目永久保存您的文件和说明 - 每次会话都无需重新解释 > 工件在聊天中生成工作应用 - 习惯......
Blum
most people use AI like a search box ask, get answer, close tab, repeat here's what a system looks like instead: > collect: x search + web search + your bookmarks > filter: strip duplicates, noise, engagement bait > map: themes, actors, competing claims > verify: primary… https://twitter.com/Blum_OG/status/2057829425572368692/video/1
中文: 大多数人使用人工智能就像搜索框 询问,获取答案,点击标签页,重复 系统看起来是什么样子: 收集:x 搜索 + 网页搜索 + 您的书签 过滤器:脱衣舞、噪音、订婚诱饵 地图:主题、演员、相互竞争的主张 网址:
Blum
RT @Blum_OG: > ran a dev agency > 10-15 people on payroll > project manager, devs, designer, QA, copywriter > client pays $15k - 50k per pr…
中文: RT @Blum_OG: > 经营一家开发机构 加薪,10至15人 >项目经理,开发人员,设计师,质量保证,文案撰写 客户支付15,000美元——每笔5万美元...
Blum
> ran a dev agency > 10-15 people on payroll > project manager, devs, designer, QA, copywriter > client pays $15k - 50k per project > most of it goes to salaries > then Kimi K2.6 dropped > 1 trillion parameters, 32B activated per token > SWE-Bench score of 65.8 > solves nearly… https://twitter.com/Blum_OG/status/2057556999244800135/video/1
中文: 经营一家开发机构 加薪,10至15人 >项目经理,开发人员,设计师,质量保证,文案撰写 客户支付15,000美元,每个项目5万 大部分都与薪资有关 随后,基米K2.6下跌 每枚代币激活1万亿个参数,32B 英镑;瑞典-标准队得分为65.8分 几乎解决了问题......
Blum
RT @Blum_OG: everyone's debating which AI is "smartest." wrong question the real question is: who's winning on all the dimensions that ac…
中文: RT @Blum_OG:每个人都在争论哪个人工智能是“最聪明的”。 真正的问题是: 谁在所有维度上获胜......
Blum
everyone's debating which AI is "smartest." wrong question the real question is: who's winning on all the dimensions that actually matter? > Grok 4 Heavy: first model to break 50% on Humanity's Last Exam > ARC-AGI v2: 15.9% vs Claude Opus's 8.6% > $1.25/million input tokens -… https://twitter.com/Blum_OG/status/2057427357376405676/video/1
中文: 每个人都在争论哪个人工智能是“最聪明的”。 真正的问题是: 谁在真正重要的维度上获胜? Grok 4 Heavy:人类最后一次考试中首个突破50%的模型 ARC-AGI v2:15.9% 对阵克劳德·奥图斯的8.6% 输入令牌:125万美元,网址:
Blum
RT @Blum_OG: if you're building AI agents, you've already hit this: > agent loses context after a few steps > tasks, memory, logs - all in…
中文: RT @Blum_OG:如果你正在构建人工智能代理,你已经点击此步骤了: 中介在几个步骤后会失去背景 任务、记忆、日志——全部在...
Blum
if you're building AI agents, you've already hit this: > agent loses context after a few steps > tasks, memory, logs - all in separate places > works fine for short tasks, breaks for anything longer the problem isn't the model - it's the architecture > agents today are built… https://twitter.com/Blum_OG/status/2057184542314619216/video/1
中文: 如果你正在构建人工智能代理,你已经达到了以下位置: 中介在几个步骤后会失去背景 任务、记忆、日志——所有地点均不同 适合做短期任务,时间更长 问题不在于模型——而是架构 今天已建立代理......
Blum
you can run a terminal AI agent that posts, searches, and reads your X TL setup is 4 steps: > install Hermes - one curl command > `hermes setup` → pick xAI Grok OAuth → log in with SuperGrok > install xurl via brew, npm, or go > `xurl auth oauth2 --app my-app` what you can… https://twitter.com/Blum_OG/status/2057089546127294470/video/1
中文: 您可以运行终端人工智能代理,该代理会发布、搜索并读取您的 X TL 设置是4个步骤: 安装 Hermes - 一个卷曲命令 """"hermes setup` → 选择 xAI Grok OAuth → 使用 SuperGrok 登录 通过啤酒、npm 或 go 安装 xurl > `xurl auth2 -- 应用 my-app 你能做些什么......
Blum
RT @Blum_OG: > most teams jump straight to automated eval > and end up measuring things that don't matter here's what actually works: > st…
中文: RT @Blum_OG: > 大多数团队直接跳转至自动椭圆形 最后测量那些无关紧要的事物 真正起作用的是什么: 至此;st...
Blum
most people drown in information before they synthesize it 40 sources. scattered notes. contradictions you can't hold in your head there's a different way: > upload everything at once - papers, notes, data, raw drafts > no folders, no pre-sorting > proximity surfaces… https://twitter.com/Blum_OG/status/2056829263358173414/video/1
中文: 大多数人在合成信息之前就已溺水 40个来源。零散的笔记。你头脑中无法掌握的矛盾 有另一种方式: 立即上传所有内容——论文、笔记、数据、草稿 没有文件夹,没有预分拣 靠近表面......
Blum
> most teams jump straight to automated eval > and end up measuring things that don't matter here's what actually works: > start with manual review - always > read outputs until you understand what "good" looks like for you > that understanding tells you which evaluators to… https://twitter.com/Blum_OG/status/2056785549411905803/video/1
中文: 大多数团队直接跳转至自动化椭圆形 最后测量那些无关紧要的事物 真正起作用的是什么: 加时赛;先从手动评测开始——始终 阅读输出,直到你明白“好”是什么样子 理解;你向哪些评估人员提供......
Blum
most tech companies post 10 clips a week and wonder why nobody knows them the ones winning post 5,000 here's the actual mechanics behind clipping campaigns: > a 3h shoot gives you 50 clippable segments, then hundreds of variations > each variation gets a different hook,… https://twitter.com/Blum_OG/status/2056730621079093384/video/1
中文: 大多数科技公司每周发布10个视频片段 并纳闷为什么没人认识他们 赢得5000个职位的人 以下是剪裁活动背后的实际机制: 拍摄3小时,可拍50个片段,然后进行数百种修改 每个变种都会有不同的挂钩,
Blum
RT @Blum_OG: > most people open an AI agent > chat for 20 minutes, > and close it thinking "this is just ChatGPT in a different app" that'…
中文: RT @Blum_OG: > 大多数人会开设一个人工智能代理 聊天20分钟 并关闭它,并思考“这只是在另一个应用中的ChatGPT” 那......
Blum
RT @Blum_OG: developers treat Claude Code like a faster search bar it works better as a configured environment the setup matters more tha…
中文: RT @Blum_OG:开发者将克劳德代码视为一个更快的搜索栏 它作为一个配置环境运行得更好 设置更重要......
Blum
> a 14-year-old in Ohio > $200 laptop > $10k in 2 months > clipping ttv streams into 60-sec videos > he didn't have a brand > didn't show his face > didn't grind 12-hour edit sessions > he had volume > the clipping economy doesn't reward the best editor > it rewards whoever… https://twitter.com/Blum_OG/status/2056443324714635626/video/1
中文: 俄亥俄州一名14岁的年轻人 加底;200美元笔记本电脑 2个月内1万美元 将 ttv 流媒体剪辑成60秒的视频 他没有品牌 没有露面 没有进行12小时的编辑工作 他有音量 剪裁经济并不能奖励最优秀的编辑 它奖励任何人......
Blum
> most people open an AI agent > chat for 20 minutes, > and close it thinking "this is just ChatGPT in a different app" that's not the agent's fault that's a brain floating in a jar smart, fast - but cut off from your actual life integrations are the senses and limbs you bolt… https://twitter.com/Blum_OG/status/2056396053239439806/video/1
中文: 大多数人会开设人工智能代理 聊天20分钟 快来,并用“这只是在另一款应用里的ChatGPT”来结束它 这不是代理人的错 那是一只漂浮在罐子里的大脑 聪明、快——但与实际生活相隔绝 集成性是你连接的感官和肢体......
Blum
> most people open an AI agent > chat for 20 minutes, > and close it thinking "this is just ChatGPT in a different app" that's not the agent's fault that's a brain floating in a jar smart, fast - but cut off from your actual life integrations are the senses and limbs you bolt… https://twitter.com/Blum_OG/status/2056389495843393666/video/1
中文: 大多数人会开设人工智能代理 聊天20分钟 快来,并用“这只是在另一款应用里的ChatGPT”来结束它 这不是代理人的错 那是一只漂浮在罐子里的大脑 聪明、快——但与实际生活相隔绝 集成性是你连接的感官和肢体......
Blum
developers treat Claude Code like a faster search bar it works better as a configured environment the setup matters more than the prompting before writing a single line, serious builders do this: > run "/init" to map structure, dependencies, and conventions > create CLAUDEmd… https://twitter.com/Blum_OG/status/2056332206532862311/video/1
中文: 开发者将Claude Code视为一个更快的搜索栏 它作为一个配置环境运行得更好 设置比提示更重要 在写完一条线之前,认真的构建者会这样做: 运行“/init”以映射结构、依赖关系和约定 制作《克劳德》......
Blum
RT @Blum_OG: everyone's chasing the AI agency path cold outreach, sales calls, close clients, repeat it works - but it's not the only mov…
中文: RT @Blum_OG:每个人都在追逐人工智能机构的路径 冷淡宣传、销售电话、客户亲密、回头 它奏效了——但它并非唯一的移动......
Blum
everyone's chasing the AI agency path cold outreach, sales calls, close clients, repeat it works - but it's not the only move > 76% of large-company CEOs are hiring a Chief AI Officer in 2026 > two years ago that number was 26% > 57% of those CAIOs were promoted from inside -… https://twitter.com/Blum_OG/status/2056117619774927007/video/1
中文: 每个人都在追逐人工智能机构的发展路径 冷淡宣传、销售电话、客户亲密、回头 它奏效了——但并非唯一的举措 到2026年,76%的大型企业首席执行官正在招聘首席人工智能官 两年前,这一数字为26% 57%的CAIO从内部晋升——
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> "write this function" > "fix this bug" > "explain this error" this is how most developers use Claude Code the best engineers use it differently some of the 40 practices that actually change output: > pipe terminal logs directly - no manual copying > rewind sessions… https://twitter.com/Blum_OG/status/2056077090970042828/video/1
中文: ""编写此函数" 并修复此漏洞 解释此错误 大多数开发者都这样使用Claude Code 最优秀的工程师使用方式不同 实际改变产出的40个实践中的一些: 直接操作管道端子日志 - 无手动复制 内容与回顾性会议......
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> you paste info into Claude > Claude responds > you copy the output somewhere else > paste more info > every session resets > context rebuilt from scratch every time this is how most people use Claude MCP changes the entire model: > Claude reads directly from your codebase >… https://twitter.com/Blum_OG/status/2055938563762487727/video/1
中文: 你将信息粘贴到克劳德 加特;克劳德回应 你把输出复制到别处 粘贴更多信息 每个会话都会重置 每次从零开始重建 大多数人都是使用克劳德语的方式 MCP 会更改整个模型: >克劳德直接从你的代码库阅读 网址:
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RT @Blum_OG: > watched a 40-min founder interview > read two 60-page market reports > cross-referenced every claim by hand > took 3+ hours…
中文: RT @Blum_OG: > 观看了一场40分钟的创始人访谈 阅读两份60页的市场报告 > 手动交叉引用每一个索赔 花了3个多小时......
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GROK 4.3 NOW RUNS INSIDE HERMES AGENT > persistent memory across sessions > image + video gen on command > text-to-speech built in > connects to WhatsApp, Telegram, Signal > works on Linux, macOS, WSL2, Android setup is 3 lines in terminal: 1. 'curl - fsSL https:/ / raw.… https://twitter.com/Blum_OG/status/2055766659743232506/video/1
中文: GROK 4.3 现在在赫瑞姆斯酒店内运行 >跨会话的持久记忆 命令中的图片 + 视频生成 已内置文本转语音 连接到 WhatsApp、Telegram、Signal 适用于Linux、macOS、WSL2、Android 终端中设置为3条线路: 1. curl - fsSL https:// 原始内容。
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> watched a 40-min founder interview > read two 60-page market reports > cross-referenced every claim by hand > took 3+ hours > sent it all to claude instead > pasted the clean transcript > uploaded both PDFs > asked for a 6-bullet insight deck with confidence scores > done in… https://twitter.com/Blum_OG/status/2055711095382548528/video/1
中文: 看了一次40分钟的创始人访谈 阅读两份60页的市场报告 > 手动交叉引用每一个索赔 花了3个多小时 把一切都发到了撩人 粘贴干净的文字记录 并上传两个PDF文件 要求提供6个带自信度的洞察平台 内容:
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Сlaude coding accuracy: 65% without context. 94% with one file a CLAUDEmd in your project root sets Claude’s starting knowledge it persists across sessions the file went #1 on GitHub trending. 82,000 stars. 7,800 forks here is the exact setup that produced the jump: > ask,… https://twitter.com/Blum_OG/status/2055642915335000345/video/1
中文: Сlaude 编程准确率:65% 无上下文。94% 使用一个文件 在项目中,一个 CLAUDEMD 根系克劳德的起始知识 它在会议期间持续 该文件在 GitHub 上排名第一,有8.2万颗星。7800个分叉 以下是产生跳转的精确设置: 询问,请问......
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your hermes setup breaks when you skip the control room as of may 16, 2026: github shows 152k stars openrouter shows #1 daily global rank official docs say 70+ built-in tools and 20+ platforms the useful setup for marketers is a documented worker not another chat tab first:… https://twitter.com/Blum_OG/status/2055604986009038865/video/1
中文: 跳过控制室时,你的爱马仕设置会中断 截至2026年5月16日: 吉特布展示152万星 openrouter 显示全球每日排名第一 官方文件显示,70多个内置工具和20多个平台 营销人员的有用配置是文档化的工作人员 不是另一个聊天标签 先是:
Blum
RT @Blum_OG: deploying Claude agents comes down to one question: does the job need reasoning, or just execution? /loop - full agent loop,…
中文: RT @Blum_OG:部署克劳德特工归结为一个问题: 工作需要推理,还是仅仅需要执行? /循环 - 全代理循环,...
Blum
deploying Claude agents comes down to one question: does the job need reasoning, or just execution? /loop - full agent loop, laptop stays on > terminal sessions last 7 days, desktop caps at 3 > timing jitter up to 30 min by design Claude Routines - same loop, Anthropic runs it… https://twitter.com/Blum_OG/status/2055334245275422839/video/1
中文: 部署克劳德特工归结为一个问题: 工作需要推理,还是仅仅需要执行? /loop - 全代理循环,笔记本电脑保持运行 终端会话持续7天,桌面版3 时间推棡,设计最高可达30分钟 克劳德·鲁廷斯——同样的循环,《蚁皮》运行它......
Blum
me realizing Claude wasn't bad at frontend i just never told it what aesthetic to use > asked Claude to build a landing page > got purple gradients, Inter font, generic card layout > did this 40 more times across different projects > found the frontend-design skill file >… https://twitter.com/Blum_OG/status/2055296902866903284/video/1
中文: 我意识到克劳德在前端并不差 我从没告诉过它要用什么美学 要求克劳德搭建一个着陆页 已采用紫色渐变、Inter字体和通用卡片布局 跨不同项目再做40次 找到前端设计技能文件
Blum
your agent's prompt will be worse in 30 days not because you wrote it badly > your product changed > your team's taste sharpened > new edge cases showed up Warp built a community reply agent called Buzz 1,000+ mentions a week across different socials here is the system that… https://twitter.com/Blum_OG/status/2055206405477453927/video/1
中文: 你的经纪人的提示将在30天内变得更糟 不是因为你写得不好 您的产品发生了变化 你的团队品味更加敏锐 新增边缘病例 沃普建立了一个名为Buzz的社区回复代理 每周在不同社交领域提及1000多次 系统是以下内容......
Blum
RT @Blum_OG: Moni Community lifetime access closes in 24h this is not avg alpha group. not even close what you get: - daily alpha reports…
中文: RT @Blum_OG:Moni 社区终身访问时间在 24 小时内结束 这并非阿尔法群体,甚至不接近 你能得到什么: - 每日阿尔法报告...
Blum
Moni Community lifetime access closes in 24h this is not avg alpha group. not even close what you get: - daily alpha reports (filtered, not noisy) - structured airdrop guides - private NFT/degen deals you won't see in public CT - trenches chat with people who actually know what… https://twitter.com/Blum_OG/status/2054948077631574161/photo/1
中文: 莫尼社区终身访问时间在24小时内关闭 这并非阿尔法群体,甚至不接近 你能得到什么: - 每日阿尔法报告(过滤,不吵闹) - 结构化空投指南 - 私密的NFT/degen优惠,在公共CT中看不到 - 与真正了解的人聊天......
Blum
> wrote code every day > reviewed it manually > wrote the PR description manually > checked coverage manually > analyzed logs manually > 300,000 tokens dumped into one session > context bloated before lunch > opened .claude/agents/ > created 8 md files > each file: a name, a… https://twitter.com/Blum_OG/status/2054904872877650200/video/1
中文: 每天编写代码 加底;手动审核 并手动撰写了PR描述 手动检查覆盖 手动分析日志 已投入一次交易,30万个代币 午饭前腹胀 已开盘 .claude/agents/ 已创建 8 个 md 文件 每个文件:一个名称,一个......
Blum
> browsed GitHub for years > starred repos, read readmes, closed the tab > never shipped anything > watched people build $3 - 8k/mo clipping channels > watched AI automation agencies charge $1 - 3k/mo > wondered how opened the repos they were actually using: > MoneyPrinterV2:… https://twitter.com/Blum_OG/status/2054862970534973503/video/1
中文: 多年来一直浏览 GitHub > 主演,阅读准备,关闭标签页 切不发货 观看的人们搭建的3-8k/mo剪贴画 观看的人工智能自动化机构收费1至3k美元/月 生了吧! 打开他们实际使用的仓库: 网址:MoneyPrinterV2:..
Blum
RT @Blum_OG: > uploaded 12 sources > asked for a summary > got a 6-paragraph wall of text > copy-pasted it into a doc > never opened it aga…
中文: RT @Blum_OG: > 已上传12个来源 请求摘要 拿到了一面六段文字墙 将其复制粘贴成文档 永远不要打开它......
Blum
> uploaded 12 sources > asked for a summary > got a 6-paragraph wall of text > copy-pasted it into a doc > never opened it again > that is not NotebookLM's fault > the tool is built for staged extraction > not one-shot answers > 2.1% of users know this > the rest are summarising… https://twitter.com/Blum_OG/status/2054686248388677766/video/1
中文: 已上传12个来源 请求摘要 拿到了一面六段文字墙 将其复制粘贴成文档 再也没有打开过 这并非NotebookLM的错 该工具是为分阶段提取而构建的 不是一枪回答 2.1%的用户知道这一点 其余部分正在总结......
Blum
CLAUDE KILLED THE SOFTWARE DEVELOPMENT BOTTLENECK the path from idea to product is now just 2–4 weeks with Claude Code no dev team. no $50k budget. no months of waiting. the income potential: > SaaS path: $500-$3,000/mo > trading bots path: $1,000-$10,000/mo > marketplaces… https://twitter.com/Blum_OG/status/2054638531817898299/video/1
中文: 克劳德杀死了软件开发机器人 从创意到产品的路径现在只有2到4周,使用Claude Code 没有开发团队。没有5万美元的预算。无需等待数月。 收入潜力: > SaaS 路径:500-3000美元/月 交易机器人路径:1000至10000美元/月 市场市场......
Blum
> built an AI agent > used it for a week > corrected the same mistake 3 times > opened a new session > it forgot everything. again. > checked the popular agents > same pattern everywhere > session ends, memory dies > next session, start from scratch > no learning, no compounding… https://twitter.com/Blum_OG/status/2054598723531939903/video/1
中文: 建立了人工智能代理 使用一周 纠正同样的错误三次 > 开启了一场新的会议 它再次忘记了一切。 查看了热门代理商 各地模式相同 会话结束,记忆消亡 下次会议,从零开始 无需学习,无复合......
Blum
RT @Blum_OG: > gave Claude a long research job > it started well > an hour in, it forgot a decision we made at the start > redid the work t…
中文: RT @Blum_OG: > 为克劳德提供了一份长期的研究工作 开始得不错 一小时后,它忘记了我们一开始做的决定 将工作重新进行......
Blum
> gave Claude a long research job > it started well > an hour in, it forgot a decision we made at the start > redid the work the wrong way > i had no idea why > turns out long conversations have a memory limit > when it fills up, Claude summarizes the old stuff > "use that… https://twitter.com/Blum_OG/status/2054275386045849998/video/1
中文: 给了克劳德一份长期的研究工作 开始得不错 一小时后,它忘记了我们一开始做出的决定 将工作重新删错了 我根本不知道为什么 事实证明,长时间的对话具有记忆限制 加满;当它填满时,克劳德总结了那些旧东西 使用“gt”......
Blum
> built a second brain > highlighted articles, clipped podcasts, took notes > felt organized > 2 weeks later stopped maintaining it > the tags fell apart > the cross-references went stale > went back to scattered notes > tried to rebuild 6 months later > same cycle, same result… https://twitter.com/Blum_OG/status/2054230021812732264/video/1
中文: 建立了第二个大脑 加文;重点文章,剪贴一向的播客,并记下笔记 感觉有条理 两周后停止了维护 标签分崩离析 交叉参照变得陈旧 回到零散的音符 6个月后,我试图重建 相同周期,结果相同......
Blum
me realizing i was using Claude like a $20/month Google > typed a question > got an answer > copied the useful part > closed the tab > repeated for 6 months > results were fine > never great > never consistent > finally asked why > Claude doesn't retrieve - it reasons > but… https://twitter.com/Blum_OG/status/2054199278441013622/video/1
中文: 我意识到自己用的是克劳德,就像每月20美元的谷歌 输入一个问题 得到了答复 复制有用的部分 关闭标签页 重度;重复6个月 结果很好 太好了 永不稳定 终于问起原因了 克劳德没有恢复——这是原因 但......
Blum
> everyone kept asking for smarter AI > more benchmarks > better scores > higher IQ numbers > so that's what the industry built > models that impressed on first response > then fell apart by prompt 30 > couldn't follow instructions across long tasks > lost context halfway… https://twitter.com/Blum_OG/status/2054167171920461899/video/1
中文: 大家一直都在要求更智能的人工智能 加减;更多基准 评分更高 高智商数字 这正是行业所建立的 对第一反应印象深刻的模型 随后,30分就崩溃了 在漫长的任务中无法遵循指示 中途失语......
Blum
RT @Blum_OG: > wanted to run Claude Code > needed a pro plan to use it > same with Codex - needed chatgpt plus > both cost money by default…
中文: RT @Blum_OG: > 想运行 Claude Code 需要一个专业计划来使用它 与 Codex 相同,需要 chatgpt 加 默认情况下,两者都需要花钱......
Blum
> wanted to run Claude Code > needed a pro plan to use it > same with Codex - needed chatgpt plus > both cost money by default > found the exit > both tools let you swap the underlying model > you don't have to use Anthropic's or Openai's > point them at Openrouter instead >… https://twitter.com/Blum_OG/status/2053927746796155355/video/1
中文: 想要运行Claude Code 需要一个专业计划来使用它 与 Codex 相同,需要 chatgpt 加 默认价格为: 找到出口 两个工具都允许你更换底层模型 你不必使用Anthropic或Openai的 用Openrouter来点它们 网址:
Blum
> built the skill in an afternoon > put everything in 1 file > description said "handles authentication errors" > shipped it > it was 6,000 tokens loading every session > 5,200 of those tokens were things the model already knew > the test is simple: would the agent get this… https://twitter.com/Blum_OG/status/2053889635445527023/video/1
中文: 在下午将这项技能建立起来 将所有内容放入1个文件中 描述称“手柄认证错误” 加运;发货 每次会话加载的令牌为6000个 这些代币中有5200个是模型早已知道的 测试很简单:代理人能拿到这个吗......
Blum
> set up Hermes on day 1 > plugged in an API key > connected some tools > started chatting > got a generic chatbot > checked what was missing > no Soul md > no User md > agent had zero context about me > didn't know my theses, my voice, my portfolio > just another LLM wrapper >… https://twitter.com/Blum_OG/status/2053839178996052209/video/1
中文: 第一天就设立爱马仕 插入API密钥 加上;一些已连接的工具 开始聊天 获取了一个通用聊天机器人 检查一下缺少了什么 没有灵魂MD 没有用户 中介对我没有任何背景 不知道我的这些,我的声音,我的作品集 再说一下,再说一次LLM包装 网址:
Blum
> 2023: AI was a chatbot > 2024: AI was a copilot > 2025: AI was an agent > 2026: AI is infrastructure > most people missed the transition > a repo called PAI has 12,100 stars > 45 skills, 171 workflows, 37 hooks > built by 1 developer > saves 2-3 hours every single day > not… https://twitter.com/Blum_OG/status/2053807782848073846/video/1
中文: 2023年:人工智能是一台聊天机器人 2024年:人工智能成为副驾驶 2025年:人工智能成为代理 2026年:人工智能就是基础设施 大多数人错过了过渡 一个名为PAI的回购机构拥有12100颗星 45 个技能,171 个工作流程,37 个钩子 由1名开发者打造 每天节省2-3小时 不......
Blum
> built a workflow around Claude > prompted it manually every single day > results varied > some days sharp, some days off > could not figure out why > found the real issue > prompts are not repeatable systems, skills are > a skill is a folder, 1 file, plain English instructions… https://twitter.com/Blum_OG/status/2053776699838402631/video/1
中文: 围绕克劳德构建了工作流程 每天手动提示 结果各不相同 有些日子很清白,有些日子休息 无法弄清楚原因 找到真正的问题 提示不是可重复的系统,技能是 技能是文件夹、1 个文件、简单的英文说明......
Blum
> opened Claude > typed "write me a marketing email" > got something no one would ever send > edited it for 20 minutes > still mediocre > closed the tab > decided AI wasn't useful for this > the prompt had 1 element: the task > no role, no context, no format, no failure… https://twitter.com/Blum_OG/status/2053734805053784214/video/1
中文: 开张的克劳德 输入“给我写一封营销邮件” 有东西,从来没有人送过 剪辑20分钟 依然平庸 关闭标签页 确定人工智能对此没有用处 提示提示有1个要素:任务 没有角色,没有背景,没有格式,没有失败......
Blum
RT @Blum_OG: > shipped the agent > opened the dashboard > latency: fine > error rate: fine > users: unhappy > checked the responses > tech…
中文: RT @Blum_OG: > 已发货 打开仪表板 延迟:正常 错误率:罚款 用户:不满意 加以;检查了回复 技术......
Blum
> used to spend mornings opening 5 tools in sequence > Slack first, then Gmail, then Notion > then realizing you missed something in Figma > then going back to Slack > not a focus problem > not a discipline problem > a structure problem > context was scattered by design > PMM… https://twitter.com/Blum_OG/status/2053560664870781021/video/1
中文: 过去常常在早晨按顺序打开5个工具 先是Slack,然后是Gmail,然后是 Notion 然后意识到你错过了《菲格玛》中的某件事 然后回到Slack 不是重点问题 不是纪律问题 结构问题 背景内容因设计而分散 网址://PMM
Blum
> shipped the agent > opened the dashboard > latency: fine > error rate: fine > users: unhappy > checked the responses > technically correct > wrong tool called 3 steps earlier > no trace to follow > no dataset to reproduce it > no eval to catch it next time > this wasn't a… https://twitter.com/Blum_OG/status/2053530171840295187/video/1
中文: 已发货 打开仪表板 延迟:正常 错误率:罚款 用户:不满意 加以;检查了回复 技术正确 错误工具,提前三步 无踪迹 没有数据集可以复制 下次没有茉病 不是......
Blum
> was using AI every day > starting cold every single chat > re-explaining the same context on loop > opened my Obsidian vault > looked organized > checked if my AI could actually use it > it couldn't > the bottleneck wasn't the model > it was me, doing manual work to keep them… https://twitter.com/Blum_OG/status/2053499664352039013/video/1
中文: 每天使用人工智能 开始每次聊天都冷 > 重新解释相同的循环环境 打开我的黑曜石金库 看起来有条理 检查一下我的人工智能是否真的能使用它 但是,它做不到 瓶颈不是模型 是我,做手工工作来保管他们......
Blum
> spent 2 hours building a plugin > shipped it on a Tuesday night > expected it to save some time > ran it Monday morning > 4-hour content job done in 11 min > checked what actually happened > the plugin read the file > extracted the key claims > built the thread, the LinkedIn… https://twitter.com/Blum_OG/status/2053375628473156054/video/1
中文: 花了两个小时构建一个插件 加运;周二晚上发货 期望它节省一些时间 周一上午运行 在11分钟内完成4小时内容工作 查了实际发生了什么 插件读取文件 提取关键声明 已建立该线,与 LinkedIn 建立...
Blum
RT @Blum_OG: > everyone argued about md vs html > md purists said html was showing off > html converts said md was for beginners > both cam…
中文: RT @Blum_OG: > 大家都争论了 md 与 html > md 纯粹主义者表示,HTML 正在炫耀 http:/ / gt;HTML 转换者表示 md 适合初学者 加点;两者都......
Blum
> everyone argued about md vs html > md purists said html was showing off > html converts said md was for beginners > both camps kept losing tokens, edit cycles, and search relevance > nobody asked the right question the question was never about format preference > it was 3… https://twitter.com/Blum_OG/status/2053225881427222594/video/1
中文: 大家都争论过 md 和 html > md 纯粹主义者表示,HTML 正在炫耀 http:/ / gt;HTML 转换者表示 md 适合初学者 两个阵营不断失去代币、编辑周期和搜索相关性 没有人问对 问题从来不是关于格式偏好 是3......
Blum
> heard "AI agent" and pictured a team of engineers > thousands of lines of code > months of setup before anything ran > decided to try it anyway > opened Claude Managed Agents > no servers to configure > no agent loops to write > no sandbox to manage > just described what the… https://twitter.com/Blum_OG/status/2053062535692046779/video/1
中文: 听到“AI代理”后,画面中有一支工程师团队 成千上万行代码 在任何事情开始前,才进行了数月的设置 决定无论如何都要试试 > 开设 Claude Managed Agents 无需配置服务器 无需代理循环来书写 无需管理 刚刚描述了......
Blum
RT @Blum_OG: > asked Claude Code to write an implementation plan > it returned 200 lines of markdown > i read 40 of them > approved it anyw…
中文: RT @Blum_OG: > 请克劳德·德·德克撰写实施计划 返回了200行标记 我读了其中40本 已批准......
Blum
> asked Claude Code to write an implementation plan > it returned 200 lines of markdown > i read 40 of them > approved it anyway > regretted it later > the real problem wasn't the plan > it was that markdown caps out fast > no spatial layout > no diagrams unless you count ASCII… https://twitter.com/Blum_OG/status/2052866274988863729/video/1
中文: 要求克劳德·科德制定实施计划 返回了200行标记 我读了其中40条 不管怎样,还是批准了 稍后会后悔 真正的问题不在于计划 是那种快速降价的上限 没有空间布局 不统计:除非统计为ASCII,否则不会显示图表......
Blum
> most people will watch the world cup > scroll highlights, react, forget > some people will get huge $$$ from those same clips here's what they know that most don't: > the world cup is not a sports event > it's the single largest content moment in your lifetime > 5.95B social… https://twitter.com/Blum_OG/status/2052822192983834751/video/1
中文: 大多数人会看世界杯 提示:滚动高亮,反应,遗忘 有些人会从同样的片段中获得巨额的美元 他们所知道的是,大多数人并不知道: 世界杯不是体育赛事 这是你一生中最重要的内容时刻 5.95亿比额表;社交...
Blum
> wanted Claude to write like me > not like AI-me > like actually me > tried 3 times > each time smth was off > too generic, too performative, too parody > the tics were right but the judgment was wrong > because i only fed it my best posts > the fix wasn't more samples > it… https://twitter.com/Blum_OG/status/2052791027891667325/video/1
中文: 希望克劳德像我一样写作 嗯;不像AI-me 和我一样 尝试了三次 每次都关闭 太笼统,太有表现力,太模仿 抽搐是正确的,但判断是错误的 因为我只发了我最好的帖子 解决办法不是更多的样本 网址:
Blum
> you post every week > you pay influencers > you run ads > and get almost nothing back > the problem isn't your product. not your price. not your creative > it's the format the brands quietly making money on TikTok rn > they're running slideshows > simple. cheap. impossible to… https://twitter.com/Blum_OG/status/2052755667329470718/video/1
中文: 你每周发一次帖 你向网红付款 你投放广告 而且几乎什么都没回来 问题不在于你的产品,而不在于你的价格,而不在于你的创意 嗯;是格式 这些品牌在TikTok rn上悄然赚钱 他们正在举办幻灯片放映 简单,便宜。不可能......
Blum
RT @Blum_OG: > downloaded Claude Code > thought it was just another AI chatbot > opened it up > found a chat bar > typed a prompt > nothing…
中文: RT @Blum_OG: > 下载 克劳德密码 我以为这只不过是另一个人工智能聊天机器人 快点;打开它 找到了一个聊天栏 输入提示 没什么......
Blum
> downloaded Claude Code > thought it was just another AI chatbot > opened it up > found a chat bar > typed a prompt > nothing happened to my files > realized the difference > browser AI waits for you to bring your files > Claude Code goes into your folder > all 45 PDFs > all… https://twitter.com/Blum_OG/status/2052462798832300542/video/1
中文: 已下载克劳德密码 我以为这只不过是另一个人工智能聊天机器人 快点;打开它 找到了一个聊天栏 输入提示 我的文件什么也没发生 意识到了区别 浏览器AI等待您携带文件 > 克劳德密码会进入你的文件夹 全部45个PDF文件 所有内容......
Blum
> used Claude every day > got mediocre results every day > assumed the model was the ceiling > opened a better prompt > same model > completely different output > checked what changed > not the AI, but the brief > missing a role > missing a standard > missing constraints >… https://twitter.com/Blum_OG/status/2052430968405819661/video/1
中文: 每天使用克劳德 每天都得到很平庸的成绩 假设模型是天花板 打开一个更好的提示 相同型号 和我们;完全不同的输出 查看了哪些更改 不是人工智能,而是简报 缺少一个角色 缺少一个标准 缺少限制
Blum
here is the full stack for 3 coordinated Claude agents > agent 1: research > tools: Exa for neural search, Firecrawl for scraping, X MCP > for social monitoring > runs every Monday, logs a brief to the shared knowledge base > agent 2: content > tools: Exa, Firecrawl, Notion MCP… https://twitter.com/Blum_OG/status/2052383925951971588/video/1
中文: 以下是3个协同的克劳德特工的完整堆栈 > 代理1:研究 工具:用于神经搜索的Exa、用于抓取的Firecrawl、X MCP 用于社会监测 每周一运行,请将一份简报记录到共享知识库 代理商 2:内容 工具:Exa、Firecrawl、Notion MCP...
Blum
> built a beautiful Obsidian vault > spent a weekend on the folder structure > added notes for 2 weeks straight > opened it 6 months later > nothing came back out > checked the system > system looked fine > checked what was actually missing > found it immediately > no feedback… https://twitter.com/Blum_OG/status/2052348842117390744/video/1
中文: 新建了一个美丽的黑曜石金库 周末在文件夹结构上度过 连续两周添加笔记 6个月后开业 什么都没有回来 检查了系统 系统看起来不错 查了真正缺少的内容 立即找到 没有反馈......
Blum
RT @Blum_OG: > opened Codex > thought it was just ChatGPT with file access > one hour later - a full YT comment intelligence system > Excel…
中文: RT @Blum_OG: > 打开了 Codex 以来只是ChatGPT,带有文件访问权限 一小时后——一个完整的YT评论情报系统 以及;Excel...
Blum
> launched an AI influencer > picked a niche from scratch > built a face from two photos > uploaded it to Kling > hit generate > got a plastic doll > tried again > plastic again > started figuring out why > turned out the model wasn't the problem > the method was a neural… https://twitter.com/Blum_OG/status/2052132731350360266/video/1
中文: 推出了一款人工智能网红 从零开始选择一个细分市场 用两张照片打造了一张脸 上传至Kling 以及 pyde 生成 买了一个塑料娃娃 再试一次 再次使用塑料 开始弄清楚原因 事实证明,这个模型并不是问题 方法是 神经......
Blum
> opened Codex > thought it was just ChatGPT with file access > one hour later - a full YT comment intelligence system > Excel with insights across 200+ comments > live dashboard on Vercel > cron automation every sunday > browser use found 6 bugs and fixed them on its own > i… https://twitter.com/Blum_OG/status/2052088511700844759/video/1
中文: 已开盘的法典 以为只是带有文件访问权限的ChatGPT 一小时后——一个完整的YT评论情报系统 > Excel,包含200多条评论的洞察 网址:Vercel 上的实时仪表板 每周日使用 > cron 自动化 浏览器使用已发现6个漏洞并自行修复 网址:
Blum
RT @Blum_OG: > started using Claude Pro > felt unstoppable for the first week > then hit the limit at 11am on monday > then again on tuesda…
中文: RT @Blum_OG: > 开始使用 Claude Pro 第一周感觉势不可挡 随后,周一上午11点达到极限 然后又在 tuesda 上......
Blum
> downloaded the top-30 Claude Skills by install count > installed everything at once, opened a task > Claude stalled on generation > context window burned before the first response token > started digging > two design skills were fighting over the same task > three code… https://twitter.com/Blum_OG/status/2051781916290924547/video/1
中文: 已下载首30个Claude Skills的安装数量 同时安装所有内容,开启任务 克劳德在一代人的身上停滞不前 上下文窗口在第一个响应令牌之前被烧毁 开始挖掘 两项设计技能正在争夺同一项任务 三个代码......
Blum
> paid $9k/year for software > found one guide > turned out everything is free > you just need student status > signed up for GitHub Student Pack > JetBrains - free > Figma Education - free > Notion Plus - free > Cursor Pro for a year - free > kept scrolling the list > Canva Pro,… https://twitter.com/Blum_OG/status/2051762517249253648/video/1
中文: 每年支付9万美元的软件费用 找到一位向导 事实证明,一切都是免费的 你只需要学生身份 已注册 GitHub 学生包 加特;JetBrains - 免费 加丁;无花果教育 加价;注意附加——免费 加丁;Cursor Pro 一年免费 继续滚动列表 加特;Canva Pro,...
Blum
> started using Claude Pro > felt unstoppable for the first week > then hit the limit at 11am on monday > then again on tuesday > thought the plan was broken > sent a support ticket > sent another message correcting Claude > sent a follow-up to the follow-up > hit the limit even… https://twitter.com/Blum_OG/status/2051728732784922824/video/1
中文: 开始使用Claude Pro 第一周感觉势不可挡 随后,周一上午11点达到极限 然后又在周一 我以为这个计划被打破了 发送了一张支持票 发送另一条消息以更正克劳德 发送后续跟进 甚至达到了极限......
Blum
RT @Blum_OG: > opened Notion in the morning > 14 tabs. 3 databases. 2 overdue tasks > one client i should have messaged yesterday > spent 2…
中文: RT @Blum_OG: > 早上打开 NOtion >14个标签页。3个数据库。2个逾期任务 一个客户端,我昨天应该发消息 花费 2.
Blum
saw an article about an OF model > subscribers paying $34 on average > top fan dropped $1,847 in a month > $43,000 net in 30 days > opened the profile > pretty girl, real messages, voice notes at 11pm > went looking for how she runs this alone > no team. no camera. no her. it's… https://twitter.com/Blum_OG/status/2051419587716288702/video/1
中文: 看到一篇关于模型的文章 订阅用户平均支付34美元 顶级粉丝在一个月内下跌了1847美元 30天内净收入4.3万美元 打开个人资料 女孩,真实留言,晚上11点发出语音留言 去找她独自经营这个的方式 没有团队,没有摄像头,没有她。 是......
Blum
RT @Blum_OG: > launched a project over the weekend > Claude Code wrote the code, i steered > three days - a working MVP > deployed to Verce…
中文: RT @Blum_OG: > 上周末推出了一个项目 > 克劳德·德·克德编写代码,我进行了引导 三天——一位在职的MVP 已部署至 Verce...
Blum
> opened Notion in the morning > 14 tabs. 3 databases. 2 overdue tasks > one client i should have messaged yesterday > spent 20 mins just figuring out where to start > then connected Claude Code to Notion via MCP server > wrote one CLAUDEmd file describing my workspace > typed:… https://twitter.com/Blum_OG/status/2051390647802699777/video/1
中文: 上午开启“点头” >14个标签页。3个数据库。2个逾期任务 一个客户端,我昨天应该发消息 花了20分钟,弄清楚从哪里开始 随后通过MCP服务器将Claude Code连接到Notion 写了一个描述我工作区的 CLAUDEMD 文件 输入:..
Blum
> launched a project over the weekend > Claude Code wrote the code, i steered > three days - a working MVP > deployed to Vercel > sent the link to 5 people > got feedback > sat down to make changes > asked Claude to rename a function > Claude renamed it in one file > broke in… https://twitter.com/Blum_OG/status/2051348209289601308/video/1
中文: 上周末启动了一个项目 > 克劳德·科德编写代码,我进行了引导 三天——一位在职的MVP 已部署到 Vercel 发送链接给5人 已收到反馈 坐下来做修改 请求克劳德重命名一个函数 克劳德将其重新命名为“一个文件” 已成功,
Blum
RT @Blum_OG: > installed an Hermes agent at peak hype > stared at the interface for an hour > closed it and never came back everyone on X…
中文: RT @Blum_OG: > 在巅峰时刻安装了一位爱马仕代理 盯着界面看了一个小时 关闭后,再也没有回来 X 上的所有人......
Blum
> installed an Hermes agent at peak hype > stared at the interface for an hour > closed it and never came back everyone on X was saying they use it for "everything" > i had no idea what that meant for me specifically > grabbed a notebook > wrote down everything i did in a day >… https://twitter.com/Blum_OG/status/2051057714319831165/video/1
中文: 在最热门的炒作中安装了一位爱马仕代理 盯着界面看了一个小时 关闭后,再也没有回来 X 上的每个人都说他们用它来做“一切” 我根本不知道那对我来说意味着什么 抓起一个笔记本 写下我一天中所做的一切 网址:
Blum
> spent 3 years building SaaS for accountants > automation, dashboards, integrations > launched, clients came > then stopped renewing > reached out to each one > got the same answer: "we just hand it to an agent now" > not another tool > the agent files the return itself >… https://twitter.com/Blum_OG/status/2051027148228759637/video/1
中文: 花了3年时间为会计师事务所构建SaaS 自动化、仪表板、集成 已推出,客户来了 随后停止了续订 联系了每一个 得到了同样的回答:“我们现在就把它交给代理人了 不是其他工具 代理将退货文件自行归档
Blum
3 months ago i was productive > shipping fast > earning well > feeling competent > then i tried to write a strategy doc without AI > 30 pages with Сlaude > closed the chat > tried to write one summary paragraph from memory > it was wrong in three places > i had been a typist for… https://twitter.com/Blum_OG/status/2050993774512546044/video/1
中文: 3个月前我很有效率 运输速度快 好赚 感觉有能力 然后我试着在没有人工智能的情况下编写一个策略文档 加30页,含Сlaude 关闭聊天 尝试从记忆中写一个摘要段落 在三个地方都错了 我曾是...... 的打字员
Blum
3 months ago i was productive > shipping fast > earning well > feeling competent > then i tried to write a strategy doc without AI > 30 pages with claude > closed the chat > tried to write one summary paragraph from memory > it was wrong in three places > i had been a typist for… https://twitter.com/Blum_OG/status/2050986381258936436/video/1
中文: 3个月前我很有效率 运输速度快 好赚 感觉有能力 然后我试着在没有人工智能的情况下编写一个策略文档 加底;30页带 claude 关闭聊天 尝试从记忆中写一个摘要段落 在三个地方都错了 我曾是...... 的打字员
Blum
> asked an agent to build a database > every AI data center in the US > names, locations, capacity, operators > one agent would take 8 hours > Kimi launched waves of agents in parallel > each one took its own region > every source validated - 1500 rows > file ready in one evening… https://twitter.com/Blum_OG/status/2050958761804840998/video/1
中文: 请求代理人建立一个数据库 美国的每一个人工智能数据中心 姓名、地点、容量、运营商 一名经纪人需要8个小时 基米同时发起了代理浪潮 每个地区都占据着自己的位置 每个已验证源 - 1500 行 晚上就准备好文件......
Blum
> quit my job to sell AI automations > posted in a Slack community > got my first client in 3 days > opened Claude > built the skill file > connected the MCP servers > ran it on their real data > sent the result > silence for 2 hours > then: "this just saved me 8 hours a week" >… https://twitter.com/Blum_OG/status/2050711249416024135/video/1
中文: 辞职出售人工智能自动化 发布于一个Slack社区 在3天内拿到了我的第一个客户 开张的克劳德 已构建技能文件 连接的MCP服务器 使用他们的真实数据来运行 发送结果 静默2小时 然后:“这每周只为我节省了8个小时” 网址:
Blum
> decided to do it properly > spun up a multi-agent pipeline > agents writing code in parallel > each making their own assumptions about architecture > merged at the end > conflicts everywhere > a week of debugging > then i spot this take: > "parallel agents writing code make… https://twitter.com/Blum_OG/status/2050683021519405163/video/1
中文: 决定做妥当 推出一条多智能管道 > 代理并行编写代码 每个人对架构都做出自己的假设 最后合并 各地冲突 一周的调试 然后,我发现以下内容: 网址:“编写代码的并行代理......
Blum
> decided to do it properly > spun up a multi-agent pipeline > agents writing code in parallel > each making their own assumptions about architecture > merged at the end > conflicts everywhere > a week of debugging > then i spot this take: > "parallel agents writing code make… https://twitter.com/Blum_OG/status/2050674334910586986/video/1
中文: 决定做妥当 推出一条多智能管道 > 代理并行编写代码 每个人对架构都做出自己的假设 最后合并 各地冲突 一周的调试 然后,我发现以下内容: 网址:“编写代码的并行代理......
Blum
RT @Blum_OG: > claude rewrites your whole doc when you asked to fix one line > gives you confident stats that are completely made up > forg…
中文: RT @Blum_OG: > 当你要求修复一条线时,整个文档会重新编写 提供完全由此组成的自信数据 结了点;放弃......
Blum
> claude rewrites your whole doc when you asked to fix one line > gives you confident stats that are completely made up > forgets everything the next session. every time > turns out one text file fixes all 3 problems permanently > CLAUDEmd - Claude reads it automatically on every… https://twitter.com/Blum_OG/status/2050351155067433117/video/1
中文: 当你要求修一行时,克劳德会重写你的整个文档 提供完全由此组成的自信数据 下次会议就把一切都忘了。 事实证明,一个文本文件会永久修复所有3个问题 > 克劳迪·克劳德——克劳德在每条网站上自动阅读......
Blum
> most companies are stuck at AI level 1 > AI helps you personally, but nothing around you changed > 3 questions to find out where you actually are: > can AI touch your real systems or just your notes? > if your best AI user quit - would the team even notice? > did anyone outside… https://twitter.com/Blum_OG/status/2050329192601125144/video/1
中文: 大多数公司都停留在人工智能一级 人工智能对你个人有帮助,但周围什么都没有改变 3个问题,帮助你弄清楚自己究竟在哪里: 人工智能可以触及你的真实系统,还是只是你的笔记? 如果你最好的AI用户退出了——团队会注意到吗? 外面有人......
Blum
> met a dev who shipped 3 apps and made $0 > ask him why, expecting a product problem > "Apple held my money and i never got paid" > turns out he never signed the banking agreement > go home, read everything about how apple pays devs > Apple holds your money for 45 days minimum… https://twitter.com/Blum_OG/status/2050211442339758531/video/1
中文: 认识了一位开发者,他出货了3个应用程序,赚了0美元 问他为什么,预计会出现产品问题 苹果公司持有我的钱,而我从未拿到过钱 事实证明,他从未签署过银行协议 回家,读一读苹果如何支付开发者的一切 加特;苹果至少要存45天资金......
Blum
RT @Blum_OG: > open Cowork on a random monday > notice /schedule. never touched it before > set 7am inbox triage just to see what happens >…
中文: RT @Blum_OG: > 随机开放 Cowork 注意/时间表。以前从未接触过 设置7am收件箱分类,以查看情况 ......
Blum
> open Cowork on a random monday > notice /schedule. never touched it before > set 7am inbox triage just to see what happens > wake up tuesday. inbox sorted. drafts written. summary saved > spend the next hour automating everything i hated doing > churn warnings. investor… https://twitter.com/Blum_OG/status/2049998504714764783/video/1
中文: 在随机的月份打开 Cowork 注意/时间表。以前从未接触过 设置7am收件箱分类,以查看情况 > 于 TUesday 醒醒。邮箱排序。草稿写。摘要保存 待在接下来的一小时里,将我讨厌的每件事都自动化 > 流失警告。投资者...
Blum
> hit claude's limit. again > actually audit what's burning my tokens > using opus for brainstorming > one giant chat open for weeks - claude re-reading 40k tokens every reply > spend one evening fixing it > haiku -> sonnet -> opus only for final output > new chat per task. two… https://twitter.com/Blum_OG/status/2049952730320703707/video/1
中文: 再次达到了引人的极限。 实际审核我的代币正在燃烧什么 使用 opus 进行头脑风暴 一个大型聊天持续数周——每次回复都会重读4万个代币 晚上花点时间修 > haiku -> sonnet -> 专集仅用于最终产出 每项任务新增聊天。两个......
Blum
RT @Blum_OG: > meet a burned-out ops manager > he says his company loses £40K/month to bad internal comms > SOPs in slack. decisions in ema…
中文: RT @Blum_OG: > 认识一位筋疲力尽的运营经理 他称公司因内部通信不善每月亏损4万英镑 松懈的SOP。在 ema 中做出决策......
Blum
> meet a burned-out ops manager > he says his company loses £40K/month to bad internal comms > SOPs in slack. decisions in email. knowledge in heads of people who quit > spend 2 days building a RAG-lite system in Obsidian > show him a demo on friday > he doesn't blink at £1,500… https://twitter.com/Blum_OG/status/2049611572587434420/video/1
中文: 认识一位筋疲力尽的运营经理 他称公司因内部通信不善每月亏损4万英镑 邮箱:SOPs: slack. 电子邮件中的决策。关于辞职人员负责人的知识 在奥西迪安建造一个RAG-lite系统,花2天时间 星期五给他看演示 他不以1500英镑的价格眨眼......
Blum
> read an article about open-source AI tools > average startup pays $40k/year in subscriptions > spend a weekend replacing all of it > ollama. chroma. vllm. langchain. $0/month > same stack. same output. > start offering "AI cost audits" to startups > avg client saves $35k/year >… https://twitter.com/Blum_OG/status/2049565833614283188/video/1
中文: 阅读一篇关于开源人工智能工具的文章 普通初创企业每年支付4万美元的订阅费 花一个周末来代替全部 加特;奥拉玛。色度。vllm. langchain。每月0美元 相同的堆栈。相同的输出。 开始向初创企业提供“人工智能成本审计” 客户每年节省3.5万美元 网址:
Blum
RT @Blum_OG: > install Hermes > use it like a fancy chatbot for 3 months > stumble on SOULmd by accident > realize the agent has been waiti…
中文: RT @Blum_OG: > 安装爱马仕 使用它像一个花哨的聊天机器人长达三个月 偶然偶然发现了灵魂 意识到代理人一直在等待......
Blum
me at 2am realizing memory isn't a feature. it's the substrate. the whole time, i've just been building on sand https://twitter.com/Blum_OG/status/2049239782623261046/video/1
中文: 凌晨2点时,我意识到记忆不是一种特征,而是基质。 一直,我一直在沙地上建造
Blum
> install Hermes > use it like a fancy chatbot for 3 months > stumble on SOULmd by accident > realize the agent has been waiting for instructions this whole time > spend one weekend properly setting it up > MEMORYmd knows my projects. USERmd knows how I think > /branch so I never… https://twitter.com/Blum_OG/status/2049217869054112224/video/1
中文: 安装 Hermes 使用它像一个花哨的聊天机器人长达三个月 偶然偶然发现了灵魂 意识到代理人一直在等待指示 花一个周末好好设置 MEMORYMD 了解我的项目。美国人知道我是怎么想的 嗯;/branch,所以我从不......
Blum
> meet a designer at a hackathon > tells you AI-generated websites all look the same > you go home and think about it > realize everyone prompts code directly > nobody separates the visual step from the coding step > spend a weekend building an image-to-code approach > generate… https://twitter.com/Blum_OG/status/2049152257749647702/video/1
中文: 在黑客马拉松上认识一位设计师 告诉你,由人工智能生成的网站看起来都一样 你回家去想这件事 意识到每个人都会直接提示代码 没有人将视觉步骤与编程步骤区分开来 花一个周末时间建立一种从图像到代码的方法 获取......
Blum
RT @Blum_OG: while you're farming points, others are getting paid in stables no agency. no follower minimum. no "trust the tokenomics." p…
中文: RT @Blum_OG:当你在农场时,其他人却在马厩里得到报酬 无需代理。无关注者最低要求。无需“信任代币组学”。 p...
Blum
> no CLAUDEmd > wondered why Claude kept breaking things > turns out I never told it anything > wrote 60 lines - commands, rules, architecture > Claude stopped guessing > stopped rewriting files I didn't ask it to touch > stopped making decisions above its pay grade > 45 mins… https://twitter.com/Blum_OG/status/2048911405370470846/video/1
中文: 不,无克劳德德 想知道克劳德为何一直把事情打碎 事实证明,我什么都没说 写了60行——命令、规则、架构 克洛德停止了猜测 停止重写我没要求它去触摸的文件 停止做出高于其薪酬等级的决策 45分钟
Blum
while you're farming points, others are getting paid in stables no agency. no follower minimum. no "trust the tokenomics." payments arrive rn, not someday @RallyOnChain pays creators for posts in real stablecoins, on-chain AI scores your content and money hits your wallet… https://twitter.com/Blum_OG/status/2048883007000637777/photo/1
中文: 当你在农业积分时,其他人则在马厩里获得报酬 无需代理。无关注者最低要求。无需“信任代币组学”。 付款到了,不是将来 @RallyOnChain 向创作者支付在真实稳定币(链上)的帖子费用 人工智能为你的内容打分,金钱也会冲击你的钱包......
Blum
> leave $80K OpenAI job in 2023 > everyone thinks you're insane > 2 years later: $6.47M ARR > one laptop, zero employees > old model: 30 people, thin margins > new model: you + AI + 80% margins > incumbents still paying 2019 salaries > that gap is the entire game > window: 1996… https://twitter.com/Blum_OG/status/2048546143022571998/video/1
中文: 2023年,请留8.0万美元OpenAI工作 每个人都觉得你疯了 两年后:647万美元 一台笔记本电脑,零员工 老款:30人,利润微薄 新模式:你+人工智能 + 80% 的利润率 现任者仍在支付2019年的薪资 那个差距就是整个游戏 网址:1996年,网址:
Blum
january 2027. agents run everything. your job title didn't exist. you could've seen it in 2026. you did nothing. https://twitter.com/Blum_OG/status/2048485000107147634/video/1
中文: 2027年1月。 代理人管理一切。你的职位名称不存在。 2026年你可能见过它,你什么也没做。
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RT @Blum_OG: > switch to Opus 4.7 > realize my whole Claude setup was vibes > no real CLAUDE. md, no memory structure, no permission modes…
中文: RT @Blum_OG: > 切换到 Opus 4.7 意识到我整个克劳德的设定都是氛围 没有真正的克劳德。MD,没有记忆结构,没有权限模式......
Blum
> switch to Opus 4.7 > realize my whole Claude setup was vibes > no real CLAUDE. md, no memory structure, no permission modes > spend 30 minutes reading the article below > rewrite instructions: 800 lines of noise -> 40 lines of signal > every repeated workflow becomes a skill >… https://twitter.com/Blum_OG/status/2048183016892268714/video/1
中文: 切换到 Opus 4.7 意识到我整个克劳德的设定都是氛围 没有真正的克劳迪。md,没有内存结构,没有权限模式 花30分钟阅读以下文章 重修说明:800行噪声 ->40 行信号 每一次重复的工作流程都变成了一项技能 网址:
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> running an agency. good clients, good revenue, zero free time > same loop every day: emails, reports, content, repeat > read about mapping every task as "needs me" or "doesn't" > tried it on a weekend > 65% of my work was just pattern matching > spent two weeks building… https://twitter.com/Blum_OG/status/2048131660521304545/video/1
中文: 经营一家机构。客户好,收入好,空闲时间 每天循环相同:电子邮件、报告、内容、重复 阅读关于将每个任务映射为“需要我”或“不需要”的内容 周末时尝试了 我65%的作品只是模式匹配 花了两周时间进行建设......
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RT @Blum_OG: > try GPT Images 2.0 for the first time > type "make me a cool robot character" > get a cool robot character > think you've ma…
中文: RT @Blum_OG: > 首次尝试 GPT Images 2.0 类型“让我变得酷炫的机器人角色” 获取一个酷炫的机器人角色 你觉得你......
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> try GPT Images 2.0 for the first time > type "make me a cool robot character" > get a cool robot character > think you've mastered it > but actually you haven't > you're using a visual production system like a vending machine > pros aren't prompting better > they're building… https://twitter.com/Blum_OG/status/2047795874294882414/video/1
中文: 首次尝试 GPT Images 2.0 类型“让我变得酷炫的机器人角色” 获取一个酷炫的机器人角色 你觉得你已经掌握了它了 但实际上你还没有 你正在使用像自动售货机一样的视觉制作系统 优点并没有促使你变得更好 他们正在建设......
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RT @Blum_OG: multi-agent systems are finally working in production not swarms. not parallel writers. this narrower pattern: one writer +…
中文: RT @Blum_OG:多代理系统终于在生产中发挥作用 不是群,不是平行的写笔。这种狭义的模式: 一位作家 +...
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multi-agent systems are finally working in production not swarms. not parallel writers. this narrower pattern: one writer + multiple agents contributing intelligence around it what's working today: > code-review loop (yes, even self-review) - clean-context reviewer catches ~2… https://twitter.com/Blum_OG/status/2047383476677251408/video/1
中文: 多代理系统终于在生产中发挥作用了 不是群,不是平行的写词。这种狭义的模式: 一名撰稿人+多名特工围绕其贡献情报 今天有什么工作: 代码审查循环(是的,甚至自我审核) - 清白的复习员抓到 ~2...
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RT @Blum_OG: cut design costs from $3k to $20/mo no designer needed, no Figma skills required, just Claude Design workflow: > open Claude…
中文: RT @Blum_OG:将设计成本从3万美元降至每月20美元 无需设计师,无需Figma技能,只有克劳德设计 工作流程: 加以;克劳德开
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RT @Blum_OG: your agent will keep making the same mistake until you turn it into a skill > problem most agent "fixes" are vibe engineeri…
中文: RT @Blum_OG:你的经纪人会一直犯同样的错误 直到你把它变成一项技能 问题 大多数代理“修复”都是 vibe neginesi...
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cut design costs from $3k to $20/mo no designer needed, no Figma skills required, just Claude Design workflow: > open Claude Design > create a project > drop in context: reference images, brand guidelines, copy > write your prompt: goal + layout + audience + tone > first draft… https://twitter.com/Blum_OG/status/2047091226848194683/video/1
中文: 将设计成本从3万美元降低到每月20美元 无需设计师,无需Figma技能,只有克劳德设计 工作流程: >开放式克劳德设计 创建项目 背景:参考图片、品牌指南、复制 快点:写下你的提示:目标+布局 + 受众+语调 草案;初稿......
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your agent will keep making the same mistake until you turn it into a skill > problem most agent "fixes" are vibe engineering: bigger system prompt, "please don't hallucinate" works until the first complex query then the same mistake - just a different input > fix -… https://twitter.com/Blum_OG/status/2047062632797290940/video/1
中文: 你的经纪人会一直犯同样的错误 直到你把它变成一项技能 问题 大多数代理“修复”都是氛围工程: 系统提示更大,“请不要产生幻觉” 一直工作到第一个复杂的查询 然后是同一个错误——只是输入不同 修复 - . .
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RT @Blum_OG: here’s why your Claude is burning through tokens the main cost issue isn’t the model being dumb it’s bad architecture of how…
中文: RT @Blum_OG:这就是你的克劳德因代币而被烧焦的原因 主要成本问题并不是模型的愚蠢 糟糕的架构是如何......
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10 habits that stop u from hitting Claude's limits: > edit your prompt, don't send a follow-up > start a fresh chat every 15–20 messages > batch questions into one message > upload recurring files to Projects - upload once, cache forever > set up Memory & User Preferences - skip… https://twitter.com/Blum_OG/status/2046818859337101572/video/1
中文: 阻止你触及克劳德极限的10个习惯: 编辑你的提示,不要发送后续消息 每15到20条消息开始一次新的聊天 将批处理问题发送成一条消息 将循环文件上传至 Projects - 上传一次,永久缓存 设置内存和放大器;用户偏好设置 - 跳过......
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> open 6 tabs every morning > email. calendar. slack. stripe. github. notion. > 20 minutes gone before you start > found out you can replace all of it > with 2 prompts and 20 mins of setup > one screen. live data. rebuilds itself at 06:00 > yesterday's revenue. pipeline. what… https://twitter.com/Blum_OG/status/2046704588880048622/video/1
中文: 每天早晨打开6个标签页 邮箱:电子邮箱:日历。松弛。条纹。github。概念。 开始前20分钟 发现你可以更换全部 加时;配备2个提示和20分钟设置 一个屏幕。实时数据。于06:00重新构建 昨日的收入。管道。什么......
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here’s why your Claude is burning through tokens the main cost issue isn’t the model being dumb it’s bad architecture of how the agent interacts with the backend > 3 token black holes - bloated documentation MCP tools often dump entire pages instead of specific answers… https://twitter.com/Blum_OG/status/2046673572048044094/video/1
中文: 这就是你的克劳德因代币而燃烧的原因 主要成本问题并不是模型的愚蠢 代理与后端交互的架构很差 3个暗号黑洞 - 文档内容严重 MCP工具通常会丢弃整页,而不是具体答案......
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RT @Blum_OG: how to use Claude for FREE effectively where to get free access: > standard free tier (just use claude ai) > open source de…
中文: RT @Blum_OG:如何有效免费使用克劳德 免费访问的地点: 标准免费等级(仅使用 claude ai) >开源...
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how to use Claude for FREE effectively where to get free access: > standard free tier (just use claude ai) > open source developer program (Claude Max 20x for 6 months) > free API credits (for developers and automation creators) > third-party apps (look for services that… https://twitter.com/Blum_OG/status/2046332582477037701/video/1
中文: 如何有效使用克劳德的免费 免费访问的地址: 标准免费等级(仅使用 claude ai) >开源开发者程序(Claude Max 20x,持续6个月) 免费API积分(面向开发者和自动化创建者) 第三方应用程序(请查看以下服务):
Blum
3 Hermes Skills worth your attention first off, this isn't just some basic chatbot It’s a self-learning agent that builds out skills based on ur usage > X Insight Mining the agent automatically parses info from accounts you’re interested in It prioritizes using the official… https://twitter.com/Blum_OG/status/2046300004638503269/video/1
中文: 3 个值得你关注的爱马仕技能 首先,这不仅仅是一个基本的聊天机器人 它是一种基于我们使用情况来培养技能的自学者 > X Insight 挖矿 该代理会自动从您感兴趣的账户中解析信息 它优先使用官方...
Blum
naked LLMs are useless out of the box the model needs tuning based on what it's being used for > you must provide it with harness, skill files, and MCP servers - only then will you get the desired output with minimal time spent > you have to know which tools to give the AI to… https://twitter.com/Blum_OG/status/2045981266416443580/video/1
中文: 裸露的LLM在禁区外毫无用处 该模型需要根据其所使用的内容进行调优 您必须提供线束、技能文件和MCP服务器 只有这样,你才能在花费最少的时间时获得所需的输出 你必须知道把人工智能提供给哪些工具......
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MCP servers that will save you serious money: > search and research - TavilyAI - Firecrawl - Exa > memory and context - Memory MCP - Notion MCP > automation - Zapier - Playwright > data and web extraction - Apify - Bright Data > development and client work - GitHub -… https://twitter.com/Blum_OG/status/2045944415525745063/video/1
中文: 可为您节省大量资金的MCP服务器: 查找与研究 - 塔维利艾 - 火虫 - 例 内存和上下文 - 内存MCP - 通知 MCP 自动化 - 扎皮尔 - 剧作家 数据与网页提取 - 认证 - 明亮的数据 开发与客户工作 - GitHub - . . .
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Claude stopped being "just a tool" a long time ago It’s a MASSIVE force multiplier for your whole workflow in terms of practical use, Claude is on par with ChatGPT and tbh, in some areas, it actually pulls ahead so, It’s a crime not to know this Anthropic masterpiece but… https://twitter.com/Blum_OG/status/2045852078111875282/video/1
中文: 克劳德很久以前就不再只是一个工具了 这是您整个工作流程的大规模力量倍增器 在实际使用方面,克劳德与ChatGPT相当 而且,在某些领域,它确实会领先 所以,不了解这部人类史诗杰作是一种犯罪 但......
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how to stack cash with Meta's LLM (Muse Spark) tech stack: - Muse Spark - distribution layer, provides access to 3B Meta users - Claude/GPT - reasoning engine for building logic and solving tasks > micro apps building and selling Muse Spark beats the competition at building… https://twitter.com/Blum_OG/status/2045603804989776272/video/1
中文: 如何与Meta的LLM(Muse Spark)一起堆叠现金 技术栈: - Muse Spark - 分发层,可访问 3B Meta 用户 - 克劳德/GPT——构建逻辑和解决任务的推理引擎 微应用构建与销售 缪斯·斯帕克在建设中击败了竞争对手......
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the single-agent approach is dead building an entire AI squad is where the real efficiency is at the core idea is setting up a team where each sub-agent is responsible for its own task and you put one agent at the head - the coordinator it monitors the whole process and… https://twitter.com/Blum_OG/status/2045535519891988702/video/1
中文: 单一代理方法已经消亡 组建一个完整的人工智能团队才是真正的效率所在 核心理念是组建一个团队 每个子代理负责自身任务 你把一个代理人放在了头上——协调员 它监控整个过程,并......
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RT @Blum_OG: your model isn't the problem - your harness is here are 3 tips for building it the right way > configuration optimization -…
中文: RT @Blum_OG:你的型号不是问题——你的线束是 以下是以正确方式构建它的3个技巧 配置优化 -...
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your model isn't the problem - your harness is here are 3 tips for building it the right way > configuration optimization - write your own instruction sets (CLAUDEmd, AGENTSmd) - treat every token like gold (only keep the essentials in global files) - manage MCP servers - teach… https://twitter.com/Blum_OG/status/2045274376841671009/video/1
中文: 你的模型不是问题——你的线束是 以下是以正确方式构建它的3个技巧 配置优化 - 编写你自己的指令集(CLAUDEMD,AGENTSmd) - 将每个代币都像黄金一样对待(仅将必需品保存在全球文件中) - 管理MCP服务器 - 教学......
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another huge release from Anthropic! Opus 4.7 - the one that doesn't forgive blurry prompts price and quality now directly depend on the accuracy of the request If you write like before (for Opus 4.6), you get: - tons of unnecessary reasoning - answers are technically correct,… https://twitter.com/Blum_OG/status/2045228369726570858/video/1
中文: 又一次来自《蚁皮》的重大释放! Opus 4.7——无法原谅模糊提示的提示 价格和质量现在直接取决于请求的准确性 如果你写得像之前一样(为 Opus 4.6 写),你会得到: - 大量不必要的推理 - 答案在技术上是正确的......
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RT @Blum_OG: one-shot sloperator era is over multi-agent architecture now dominates in efficiency the problem: single-agent chaos - exces…
中文: RT @Blum_OG:单拍斜坡时代已经结束 多智能架构在效率方面现已占据主导地位 问题:单一代理混乱 - 过处......
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one-shot sloperator era is over multi-agent architecture now dominates in efficiency the problem: single-agent chaos - excessive cognitive load - сontext bloat - zero parallelism the fix: multi-agent architecture system works by splitting up the roles: > Orchestrator -… https://twitter.com/Blum_OG/status/2045048604390502742/video/1
中文: 单次滑坡时代已经结束 多智能架构在效率方面现已占据主导地位 问题:单一代理混乱 过度的认知负荷 - с 语日臼 - 零平行 修复:多代理架构 系统通过分割角色来发挥作用: 加·奥特;管弦乐 - . . .
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10 MCP Servers Your Claude Setup Needs > GitHub - managing repos, PRs & code reviews > Sequential Thinking - structured step-by-step reasoning > Memory - persistent context & facts across sessions > Slack - reading channels & posting updates > AWS - cloud infra & deployment… https://twitter.com/Blum_OG/status/2044875559059210460/video/1
中文: 10 个 MCP 服务器,满足您的克劳德设置需求 GitHub - 管理仓库、公关和内容;代码审查 顺序思维——结构化的分步推理 > 记忆——持续的上下文和内容;跨会话的事实 > Slack - 阅读频道和动态;发布更新 网址:AWS - 云基础设施和环境部署 .. . .
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Claude’s context is the key to getting the output u want most prefer just continuing sessions this often leads to context clutter and crap outputs after 5 ways to work with context: > continue - keep going in the current session > /rewind - roll back to a previous message… https://twitter.com/Blum_OG/status/2044744296423964922/video/1
中文: 克劳德的语境是获取你想要的输出的关键 大多数人更喜欢继续开会 这常常会导致上下文混乱和垃圾输出 处理上下文的5种方法: 继续——继续进行当前会议 返回至以下消息:
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RT @Blum_OG: be one of the first to figure out Claude Managed Agents build production AI agents with this tool 10x faster deploying cycle…
中文: RT @Blum_OG:成为首批确定克劳德管理代理的人之一 使用此工具构建生产性AI代理 10倍速度更快 部署周期......
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be one of the first to figure out Claude Managed Agents build production AI agents with this tool 10x faster deploying cycle: - create an account - build an agent via assistant, template, or from scratch - configure environment: network and access rules - set up a credentials… https://twitter.com/Blum_OG/status/2044504662884421757/video/1
中文: 成为首批确定克劳德管理代理的人之一 使用此工具构建生产性AI代理 10倍速度更快 部署循环: - 创建一个账户 - 通过助手、模板或从零开始构建代理 - 配置环境:网络和访问规则 - 设置凭据......
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everyone loves tearing open card packs but lbh, in this space plenty of folks are happy to trick u still, there’s one platform with a crystal‑clear approach @BRAVOREADYGAMES built on real-time VRFs and full onchain main advantages: - provably fair - vault-backed - guaranteed… https://twitter.com/Blum_OG/status/2044467208886358369/photo/1
中文: 每个人都喜欢撕开的卡片包 但在这个空间里,很多人很乐意骗你 仍然,有一个平台采用水晶般清晰的方法 @BRAVOREADYGAMES 基于实时VRF和全链构建 主要优点: - 可证明公平 - 金库支撑 - 保证......
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RT @Blum_OG: https://x.com/i/article/2042999198648242176
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> "have no time," you say every Friday > open inbox: 34 emails > didn't open half > one had today's deadline > you missed it > drop email into AI > run it through a solid prompt > get: priority, category, deadline, draft reply > 40 secs instead of 10 mins > multiply that by 34… https://twitter.com/Blum_OG/status/2044124461503525244/video/1
中文: “没有时间,”你每个星期五都会说 邮箱:34封邮箱 没有打开一半 有今天的最后期限 你错过了 将电子邮件发送至人工智能 通过一个可靠的提示来运行它 获取:优先级、类别、截止日期、草稿回复 40秒,而不是10分钟 将其乘以34......
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https://x.com/i/article/2042999198648242176
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RT @Blum_OG: AI automation - everyone talks, few actually act market's 360M companies, only 50M automated best part: just 1M specialists…
中文: RT @Blum_OG:人工智能自动化——人人都会说话,很少有人真正行动 市场的360M公司,仅50M自动化 最棒的部分:仅1米专科医生......
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AI automation - everyone talks, few actually act market's 360M companies, only 50M automated best part: just 1M specialists - we're crazy early here’s the next 6 months for tomorrow’s winners: > month 1: n8n basics & core concepts > month 2: AI integration in workflows >… https://twitter.com/Blum_OG/status/2043774027937001812/video/1
中文: 人工智能自动化——每个人都在说话,很少有人真正行动 市场的360M公司,仅50M自动化 最棒的部分:只有1米的专科医生——我们早早就疯了 以下是未来6个月的获奖者: 第1个月:n8n 基础知识;核心概念 > 月2:工作流程中的人工智能集成
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RT @Blum_OG: playbook for launching your own AI agency: > pick niche + define offer > build outreach list > send daily outreach (20-30/day…
中文: RT @Blum_OG:推出自己人工智能代理的游戏手册: 选择小众+定义报价 > 建立宣传清单 发送每日宣传(20-30/天)...
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playbook for launching your own AI agency: > pick niche + define offer > build outreach list > send daily outreach (20-30/day) > run discovery -> sales calls > close deal ($2.5K-$5K upfront) > onboard & deploy AI system > deliver results -> move to retainer ($1.5K/mo) the… https://twitter.com/Blum_OG/status/2043638115508924857/video/1
中文: 推出您自己的人工智能代理指南: 选择小众+定义报价 > 建立宣传清单 发送每日宣传(20-30/天) 运营 -> 销售电话 优惠(提前2.5万至5万美元) 上载和部署AI系统 实现业绩 -> 迁至留置式(1.5万美元/月)
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RT @alphabatcher: https://x.com/i/article/1943379427234074624
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15 prompts that'll keep your subscription money safe these days platforms are all about subscriptions It's super profitable for them and creates an illusion of value for users but what's actually worth it is a Claude subscription It replaces: > grammar and style checker -… https://twitter.com/Blum_OG/status/2043458877883285868/video/1
中文: 15个提示,以确保您的订阅资金安全 如今的平台都与订阅有关 对他们来说非常有利可图,并为用户营造一种价值感 但真正值得的是克劳德订阅 它取代了: 语法与风格检查 - . .
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AI is advancing at a crazy speed that's why there's more and more info but the problem is 90% of it is noise here are 10 papers worth your time: > Neural Computers > Memento: Teaching LLMs to Manage Their Own Context > Memory Intelligence Agent (MIA) > Single-Agent LLMs vs.… https://twitter.com/Blum_OG/status/2043419292365119846/video/1
中文: 人工智能正以极快的速度推进 这就是为什么信息越来越多 但问题是90%是噪音 以下是值得您花时间的10篇论文: 神经计算机 > Memento:教授LLM来管理自己的背景 内存智能剂(MIA) 加特;单探员LLMs vs...
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RT @alphabatcher: Turn your 2-minute repetitive prompt into a 1-second slash command - same prompt every time - version-controlled via Git…
中文: RT @alphabatcher:将你2分钟的重复提示转换为1秒的斜线命令 每次都一样的提示 - 通过 Git 控制版本...
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RT @Blum_OG: key advantages of video AGI: > radical cost reduction - a shot now costs lunch money, not days of production - a mistake do…
中文: RT @Blum_OG:视频AGI的主要优势: 大幅降低成本 - 现在花的是午餐钱,而不是几天的生产 - 做错了......
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key advantages of video AGI: > radical cost reduction - a shot now costs lunch money, not days of production - a mistake doesn't mean blowing a huge budget, but a failure you can retry dozens of times > development timeline compression - "idea → prompt → video → edit"… https://twitter.com/Blum_OG/status/2043036581834137936/video/1
中文: 视频AGI的主要优势: 大幅降低成本 - 现在花的是午餐钱,而不是几天的生产 - 错误并不意味着浪费巨额预算,而是失败,你可以重试数十次 开发时间压缩 - 想法 → 提示 → 视频 → 编辑...
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stop just chatting - unleash Claude's full power using Claude is about small levers that give you outsized returns in work here are the key ones: - CLAUDE md file: the file Claude reads and keeps in mind each session - plan mode: run an initial analysis in read-only (saves up… https://twitter.com/Blum_OG/status/2042997351166677334/video/1
中文: 停止聊天——释放克劳德的全部力量 使用克劳德是关于小杠杆,能让你在工作中获得超大回报 以下是关键内容: - CLAUDE md 文件:克劳德读取并记住每个会话的文件 - 计划模式:以只读方式运行初步分析(保存...
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RT @Blum_OG: Claude is now able to integrate into Word and it runs inside it, in the same window main features: > comment-based editing >…
中文: RT @Blum_OG:克劳德现在能够融入Word 它在它内部运行,在同一个窗口中 主要特点: 以评论为基础的编辑 ......
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Claude is now able to integrate into Word and it runs inside it, in the same window main features: > comment-based editing > draft in your template > consistency check > revision summary > workflows into skills > context across Word, PowerPoint, and Excel add-ins Installation… https://twitter.com/Blum_OG/status/2042704268357243266/video/1
中文: 克劳德现在能够融入Word 它在它内部运行,在同一个窗口中 主要特点: 以评论为基础的编辑 在模板中添加 保持一致性 修订摘要 技能工作流程 Word、PowerPoint 和 Excel 附加组件的上下文 安装...
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RT @Blum_OG: AI stack on Claude only Claude’s capabilities are evolving crazy fast day by day it’s covering more and more of what you act…
中文: RT @Blum_OG:仅限克劳德的AI堆栈 克劳德的能力正在迅速发展 日复一日地,你所做的事正在不断,越来越多......
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AI stack on Claude only Claude’s capabilities are evolving crazy fast day by day it’s covering more and more of what you actually need what you can already do with Claude: - coding (Claude Code) - research & intelligence (Claude + web search) - writing & content production -… https://twitter.com/Blum_OG/status/2042537414158356729/video/1
中文: 仅限克劳德平台上的人工智能堆栈 克劳德的能力正在迅速发展 日复一日地涵盖你实际需要的内容 你已经可以用克劳德做些什么了: - 编码(Claude Code) - 研究与研究;智力(克劳德+网络搜索) - 写作与创作;内容制作 - . . .
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RT @Blum_OG: automation rn is the simplest action that saves tons of time - no coding knowledge required - totally free - tons of guides o…
中文: RT @Blum_OG:自动化 rn 是节省大量时间的最简单方法 - 无需编码知识 - 完全免费 - 数吨指南......
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automation rn is the simplest action that saves tons of time - no coding knowledge required - totally free - tons of guides on every possible question all u need is: > install Claude Code > get familiar with the terminal > use a couple of prompts (copy-paste) > an Anthropic… https://twitter.com/Blum_OG/status/2042301063563468930/video/1
中文: 自动化 rn 是节省大量时间的最简单方法 - 无需编码知识 - 完全免费 - 关于每个可能问题的大量指南 你只需要: 安装克劳德密码 了解终端 使用几个提示(复制粘贴) 一个反乌托邦......
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RT @Blum_OG: 10 Claude prompts that actually boost ur productivity > morning briefing - sorts tasks by urgency of execution > email triage…
中文: RT @Blum_OG:10个真正提高工作效率的克劳德提示 > 早间简报——按执行紧急情况对任务进行排序 邮箱分流......
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10 Claude prompts that actually boost ur productivity > morning briefing - sorts tasks by urgency of execution > email triage - assigns categories to emails > repurposer - reworks content from articles for easy consumption > code reviewer - checks code against key problematic… https://twitter.com/Blum_OG/status/2041987179153649796/video/1
中文: 10 克劳德提示,实际上提升了您的工作效率 > 早间简报——按执行紧急措施分类 电子邮件分类 - 为电子邮件分配类别 > 再利用器 - 轻松轻松修改文章内容 代码审核员——检查代码以对关键问题进行检查......
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RT @HarryTandy: - @Alibaba_Qwen just dropped Qwen3.6-Plus their new flagship model, and it feels like a real step toward AI agents that ar…
中文: RT @HarryTandy:- @阿里巴巴_Qwen刚刚放弃了Qwen3.6-Plus 他们的新旗舰机型,感觉像是朝着人工智能代理迈出的又一步,而人工智能又如此......
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new top open-source LLM just landed! Z ai dropped their flagship model - GLM-5.1 best model among open source and #3 globally on key benchmarks capabilities: - offer multiple thinking modes for different scenarios - support real-time streaming responses - have powerful tool… https://twitter.com/Blum_OG/status/2041576339048951971/photo/1
中文: 全新顶级开源LLM刚刚登陆! Z ai 放弃了他们的旗舰机型——GLM-5.1 开源最佳模型,以及全球关键基准的第3个模型 能力: - 为不同场景提供多种思维模式 - 支持实时流媒体回复 - 拥有强大的工具......
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RT @Blum_OG: Anthropic is reaching a new level run-rate revenue has now surpassed $30B (was $9B at the end of 2025) that's not some rando…
中文: RT @Blum_OG:Anthropic 正在达到一个新水平 运行时收入现已超过300亿美元(到2025年底为90亿美元) 那不是个空的......
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Anthropic is reaching a new level run-rate revenue has now surpassed $30B (was $9B at the end of 2025) that's not some random stat, it's straight-up massive growth over the past few months for context, closest rival OpenAI's sitting at $25B they also signed a game-changing… https://twitter.com/Blum_OG/status/2041502277719195868/photo/1
中文: 人类正在达到一个新的水平 运行时收入现已超过300亿美元(到2025年底为90亿美元) 这并非随机数据,而是过去几个月来的快速增长 就目前而言,最接近竞争对手OpenAI的售价为250亿美元 他们还签下了一款具有变革性的游戏规则......
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RT @Blum_OG: no more unemployed AI users! dude just built an open-source job searcher on Claude Code key functions: > auto-evaluation of…
中文: RT @Blum_OG:不再有失业的AI用户! 老兄刚刚在克劳德密码上建立了一个开源的求职者 关键功能: 对......进行自动评估
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no more unemployed AI users! dude just built an open-source job searcher on Claude Code key functions: > auto-evaluation of job offers (based on 10 weighted dimensions) > ATS-optimized PDF CV generation per job description > HUGE job portal scanning work modes (for the… https://twitter.com/Blum_OG/status/2041246412957208876/video/1
中文: 不再有失业的AI用户! 老兄刚刚在克劳德密码上建立了一个开源的求职者 关键功能: > 工作报价的自动评估(基于10个加权维度) >根据职位描述优化PDF CV 大型工作门户扫描 工作模式(适用于
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RT @Blum_OG: 8 Claude hooks that cover ur blind spots: > auto-format code - code always looks clean > block dangerous commands - stop dest…
中文: RT @Blum_OG:8个遮盖盲区的克劳德钩: 自动格式代码 - 代码看起来总是很干净 阻止危险命令——停止......
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8 Claude hooks that cover ur blind spots: > auto-format code - code always looks clean > block dangerous commands - stop destructive actions > protect sensitive files - prevents accidental modifying important files > run tests on edit - tests after every code change > block… https://twitter.com/Blum_OG/status/2040872554609750325/video/1
中文: 8个遮盖盲区的克劳德钩: 自动格式代码 - 代码看起来总是很干净 阻止危险指令——停止破坏性行为 保护敏感文件——防止对重要文件进行意外修改 在每次代码更改后运行测试 ggt;块......
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AI tools that actually help you grow X: > TweetHunter an AI platform that can: - writes personalized drafts - rewrites existing ones - suggests ideas based on your niche - gives you a scheduler with automation - runs performance analytics + highlights the best posting times >… https://twitter.com/Blum_OG/status/2040559968659849306/photo/1
中文: 真正帮助你发展X的人工智能工具: 推特 一个可以: - 撰写个性化的草稿 - 重写现有的 - 根据你的细分领域提出想法 - 为您提供一个带自动化功能的调度器 - 运行性能分析 + 突出最佳发布时间 网址:
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RT @Blum_OG: TOP LLMs BY USE CASE rn there's no super universal model for all tasks models are now sharpening for specific use cases so…
中文: RT @Blum_OG:按使用案例获取最佳LLM nn 没有适用于所有任务的超通用模型 模型现在正在针对特定用例进行改进 所以......
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TOP LLMs BY USE CASE rn there's no super universal model for all tasks models are now sharpening for specific use cases so using different models for different needs yields better results and boosts work efficiency built from Arena (human-voted) + LiveBench (clean benchmark)… https://twitter.com/Blum_OG/status/2040147335918108961/photo/1
中文: 按用途进行顶级LLM nn 没有适用于所有任务的超通用模型 模型现在正在针对特定用例进行改进 因此,针对不同需求使用不同模型能带来更好的效果,并提高工作效率 采用Arena(人工投票)+ LiveBench(净胜选)打造。
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RT @HarryTandy: prompt engineering like we knew it is dying a slow, inevitable death remember all those magic spells like “act like a 20-y…
中文: RT @HarryTandy:我们清楚的工程工程正在缓慢而不可避免的死亡中死去 记住那些魔法咒语,比如“像20岁一样行动......”
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RT @Blum_OG: "Freedom has a token. TWT" - they claimed now it's clear what kind of freedom they meant freedom to act with total recklessn…
中文: RT @Blum_OG:“自由有一个令牌。”TWT" - 他们声称 现在清楚他们指的是什么样的自由 完全鲁莽行事的自由......
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"Freedom has a token. TWT" - they claimed now it's clear what kind of freedom they meant freedom to act with total recklessness on their statements in sep, at the peak of their loud announcements, they unveiled roadmap but since November, not a single project has been… https://twitter.com/Blum_OG/status/2039793906452492525/photo/1
中文: 自由有象征意义。TWT" - 他们声称 现在清楚他们指的是什么样的自由 以完全鲁莽行事的自由 在他们大声宣布的高峰期,他们发布了路线图 但自11月以来,还没有一个项目......
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RT @Blum_OG: 10 BEST LOCAL LLMs MODELS lbh, everyone's tired of paying huge money for AI subs local models are our saviors in this matter…
中文: RT @Blum_OG:10 款最佳本地 LLM 模型 大家都厌倦了为人工智能潜艇支付巨额费用 本地模型是我们在这件事上的救星......
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10 BEST LOCAL LLMs MODELS lbh, everyone's tired of paying huge money for AI subs local models are our saviors in this matter total data privacy + no sub fees ever so, here are the top picks: > GLM-5 top open-weight model rn elite code + long context, but requires serious… https://twitter.com/Blum_OG/status/2039445932102779243/photo/1
中文: 10款最佳本地LLM车型 大家都厌倦了为人工智能潜艇支付巨额费用 本地模型是我们在这件事上的救星 数据隐私总额 + 无任何子费用 以下是精选的精选内容: GLM-5 顶级敞标车型 精英代码+长上下文,但需要严肃的......
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RT @HarryTandy: where is the fuel now? > the token’s value is collapsing > roadmap milestones are left unfulfilled > repeated security fai…
中文: RT @HarryTandy:现在燃料在哪里? 该代币的价值正在崩溃 路线图的里程碑尚未实现 重来安全......
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RT @alphabatcher: Coded to go to zero? Down 80% since October 2025 Is this what it was coded for? What about Trust Alpha that you talked…
中文: RT @alphabatcher:编码为零? 自2025年10月以来下降了80% 这是它所编码的吗? 你聊的Trust Alpha怎么样......
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RT @pavlitosy4: Dear @cz_binance, I am reaching out to you on behalf of myself (Binance KOL Award 2022 CIS), @toptraders0x (Binance KOL Aw…
中文: RT @pavlitosy4:亲爱的 @cz_binance, 我代表我本人(2022年币安KOL奖)联系您,@toptraders0x(Binance KOL Aw...)
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RT @alphabatcher: Today I'm slashing @TrustWallet Trust heavily shilled TWT near the highs, promised token value through its Sept 2025 roa…
中文: RT @alphabatcher:今天我要大幅削减 @TrustWallet 信任在高点附近大幅下跌的TWT,承诺通过其2025年9月的代币价值......
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HOW TO CRAFT TRULY EFFECTIVE AI PROMPTS you ask an LLM to for a high-quality report and get back text written with expert-level confidence but packed with total BS familiar? so, to avoid situations like this, you need to understand these basic points: > the “smart but… https://twitter.com/Blum_OG/status/2039052691088036269/photo/1
中文: 如何巧妙地制定有效的人工智能项目 你请一位法学硕士来获取一份高质量的报告 并以专家级自信重新撰写文字 但总BS满载 熟悉吗? 因此,为避免出现类似情况,你需要理解 这些基本要点:
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RT @pavlitosy4: Maybe it’s time to respond to the community? What’s going on with $TWT? What about the roadmap? The longer you stay silen…
中文: RT @pavlitosy4:也许是时候回应这个社区了? TWT 怎么了? 路线图呢? 你沉默的时间越长......
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RT @Blum_OG: https://x.com/i/article/2036169368388751360
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https://x.com/i/article/2036169368388751360
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BANGER RELEASE FROM ZAI - GLM 5.1 modified GLM 5, lighter, faster built for: > agent coding and engineering > adaptive reasoning > more predictable instruction following > long-horizon engineering tasks GLM 5 - the brains. GLM 5.1 - the work beast
中文: 从ZAI到GLM 5.1的更大发布 改性GLM 5,更轻,速度更快 为: 代理编码与工程 适应性推理 更可预测的指导 长距离工程任务 GLM 5 - 大脑。GLM 5.1 - 工作大动物
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RT @alphabatcher: 🚨formula to $20K/mo with apps: 1: validate idea 2: build with AI in days 3: nail your onboarding 4: UGC + influencers at…
中文: RT @alphabatcher:使用应用程序,每月 20 万美元的 🚨 公式: 1:验证想法 2:几天内使用人工智能进行构建 3: 锁定你的入职 4:UGC + 网红在...
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vibe coding has become so simple AI agent pipeline: spec → code → tests → deploy all that's left for vibecoders: https://twitter.com/Blum_OG/status/2037279068023046333/video/1
中文: 氛围编码变得如此简单 人工智能代理管道:规范 → 代码 → 测试 → 部署 留给 viecoders 的所有内容:
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RT @alphabatcher: These 5 Claude Cowork plugins actually deliver $285 billion in software stock value wiped out Because of 5 plugins. Her…
中文: RT @alphabatcher:这5个Claude Cowork插件实际上提供了 软件价值2850亿美元 因为有5个插件。她......
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claude - the fastet moving contender for leadership not everyone understands how much anthropic is crushing ai race these crazy guys made 72 releases in just 52 days moreover, many of these are absolute bangers the main ones: > models & core platform - opus 4.6: upgraded… https://twitter.com/Blum_OG/status/2036890015851290761/photo/1
中文: 引人观爱——领导力的快速发展竞争者 并非每个人都明白人类在破坏种族是多么沉重 这些疯子在短短52天内就发布了72次 此外,其中许多都是绝对的 主要的: 型号和模式;核心平台 - 第4.6项:升级版......
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RT @Blum_OG: antarctic funded account program is officially launched! trade in real market environment with platform capital no personal…
中文: RT @Blum_OG: 南极资助账户计划正式启动! 以平台资本进行真实市场交易 不是个人的......
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antarctic funded account program is officially launched! trade in real market environment with platform capital no personal risks - the platform provides the capital > reg period: mar 11 10:00 - mar 24 10:00 (UTC) > trading competition: mar 25 10:00 - apr 14 10:00 (UTC) >… https://twitter.com/Blum_OG/status/2036478041099227378/photo/1
中文: 南极资助账户计划正式启动! 以平台资本进行真实市场交易 无个人风险——该平台提供资本 时节:马喣 11:00 - mar 24 10:00(UTC) 交易竞争:市场 25 上午10:00 - 4月14日 10:00(UTC)
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RT @Blum_OG: https://x.com/i/article/2036167441332707328
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RT @alphabatcher: Exact stack to build your iOS app in 3-7 days: here's what actually ships a working iOS app fast: code: - Cursor (AI-p…
中文: RT @alphabatcher:在3-7天内构建iOS应用的精确堆栈: 真正快速发布一款正在使用的iOS应用是什么: 代码: - Cursor(AI-p...)
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https://x.com/i/article/2036167441332707328
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RT @alphabatcher: Best GitHub repos for AI Agents: ​ 1. Free AI Agents Resources https://github.com/avinash201199/free-ai-agents-resources ​ 2. AutoGen by Microsoft Research…
中文: RT @alphabatcher:适用于人工智能代理的最佳 GitHub 仓库: ​ 1。免费人工智能代理资源 ​ 2。微软研究院的AutoGen...
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RT @Blum_OG: my ego the millisecond OpenClaw DMs me via tg bot: (I spent hours on it and it was an error message) https://twitter.com/Blum_OG/status/2035828226338254964/video/1
中文: RT @Blum_OG:我的自我:毫秒级的OpenClaw通过tg bot来DM我: (我花了数小时,上面有一条错误信息)
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RT @HarryTandy: https://x.com/i/article/2035852105919905792
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my ego the millisecond OpenClaw DMs me via tg bot: (I spent hours on it and it was an error message) https://twitter.com/Blum_OG/status/2035828226338254964/video/1
中文: 我的自我毫秒级OpenClaw通过tg机器人来DM我: (我花了数小时,上面有一条错误信息)
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RT @alphabatcher: 20 Must-Read AI Articles Right Now: ​ @0x_kaize: https://x.com/0x_kaize/status/2032527256355221954 "70+ Free Subscriptions - Become a Student" ​ @E…
中文: RT @alphabatcher:目前有20篇必读AI文章: ​ @0x_kaize: 70 多个免费订阅 - 成为学生 ​ @E...
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RT @Blum_OG: STOP LOSING ON HYPE. START TRACKING CASHFLOW iGaming is where money flows 24/7, with volumes in hundreds of billions unlike…
中文: RT @Blum_OG:停止在 HYPE 上丢失。开始跟踪现金流 iGaming 是资金全天候流动的地方,交易量达数千亿美元 不像......
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STOP LOSING ON HYPE. START TRACKING CASHFLOW iGaming is where money flows 24/7, with volumes in hundreds of billions unlike hype-driven memes, GambleFi got actual revenue from house edge but let's be real: not every such token deserves your money _____________ 5 core… https://twitter.com/Blum_OG/status/2035430751420961156/photo/1
中文: 停止在水合物上失去。开始跟踪现金流 iGaming 是资金全天候流动的地方,交易量达数千亿美元 与炒作驱动的表情包不同,GambleFi 实际收入来自家庭边缘 但让我们真实点:并非每个这样的代币都值得你花钱 __________________________________________________________________________ 5个核心......
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RT @alphabatcher: 🚨 Gemini API update that actually matters for builders: If you wanted AI to search the web and work with your system, yo…
中文: RT @alphabatcher:🚨 Gemini API 更新,对构建者而言实际上很重要: 如果你想让人工智能搜索网页并使用你的系统,那么......
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first time handing full control to "tech set to replace us" what's the output product: https://twitter.com/Blum_OG/status/2035094727234920893/photo/1
中文: 首次将完全控制权交给“技术将取代我们” 输出产品是什么:
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RT @alphabatcher: How to build own AI UGC Influencer (fully generated avatar + ways to monetization) ​ I've been studying this space for mo…
中文: RT @alphabatcher:如何打造自己的AI UGC网红(生成完全化身+变现方式) ​ 我一直在为这个空间学习......
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RT @Blum_OG: Good Stake -> Productive Agent many believe that an AI agent is just a well-written prompt beyond that, it is very important…
中文: RT @Blum_OG: 好赌注 -> 高效剂 许多人认为人工智能代理只是一个写得很好的提示 除此之外,它非常重要......
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Good Stake -> Productive Agent many believe that an AI agent is just a well-written prompt beyond that, it is very important to select the proper agent pieces: > LLM > Tools > Memory > Triggers > Feedback loop not a single point - the agent is just an empty talker 1. LLM:… https://twitter.com/Blum_OG/status/2034731285407842374/photo/1
中文: 良好的 -> 高效剂 许多人认为人工智能代理只是一个写得很好的提示 除此之外,选择合适的代理部件非常重要: > 法学硕士 工具 > 记忆 加注;触发器 >反馈循环 不是一个点——代理人只是个空话 1。传销:...
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RT @alphabatcher: 5 ways you can use AI to solve key business needs (automation guide) ​ I talked to dozens of small business owners over t…
中文: RT @alphabatcher:利用人工智能解决关键业务需求的5种方法(自动化指南) ​ 我和几十个小企业主聊过......
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RT @Blum_OG: WHY REVENUE > HYPE? market is oversaturated with tokens lacking full semantic backing what are they based on? nobody knows,…
中文: RT @Blum_OG:为什么收入 > 是吗? 市场因代币缺乏完全的语义支持而过度饱和 它们基于什么?没有人知道......
Blum
WHY REVENUE > HYPE? market is oversaturated with tokens lacking full semantic backing what are they based on? nobody knows, everyone just believes and yet there are a couple of worthy representatives namely revenue-driven tokens - isn't this stability in modern market? so,… https://twitter.com/Blum_OG/status/2034343260223840261/video/1
中文: 为什么是收入和收入? 市场因代币缺乏完全的语义支持而过度饱和 它们基于什么?没人知道,每个人都相信 然而,还有几位值得尊敬的代表 即以收入为导向的代币——现代市场难道不是这种稳定性吗? 所以,......
Blum
RT @Blum_OG: NEXT MAIN NARRATIVE IS STARTING TO TAKE SHAPE historically, long bear markets precede new narratives and we are now extremel…
中文: RT @Blum_OG:下一个主要叙事开始出现 历史上,长期熊市先于新的叙事 而我们现在正处于极端......
Blum
NEXT MAIN NARRATIVE IS STARTING TO TAKE SHAPE historically, long bear markets precede new narratives and we are now extremely close to a turning point a fairly long bear market + an empty market are signals of this so, what narrative awaits us? let's look at what never lies… https://twitter.com/Blum_OG/status/2033523654739571181/video/1
中文: 下一个主要叙事开始变得有底 历史上,长期熊市先于新的叙事 而我们现在正接近一个转折点 一个相当漫长的熊市+空置市场就是这种信号 那么,我们等待着什么样的叙事? 让我们来看看什么从不说谎......
Blum
RT @alphabatcher: i used to pay $500 for a single promo video now i do the whole thing myself in an afternoon. script, voiceover, edit, ca…
中文: RT @alphabatcher:我过去只为一个促销视频支付500美元 现在我自己在一个下午做整件事。剧本、配音、剪辑,或......
Blum
RT @alphabatcher: Creating a landing page in 5min with Claude (Prompt) Copy this prompt into Claude, fill in your info, and hit send👇🧵 htt…
中文: RT @alphabatcher:与克劳德(Prompt)在5分钟内创建登陆页面 将此提示复制到克劳德,填写您的信息,然后点击发送👇🧵 ..
Blum
RT @Blum_OG: 3 common mistakes in AI agents + solutions brush them off first -> they'll brush you off so, fix upfront: 1. infinite tool…
中文: RT @Blum_OG:人工智能代理中的3个常见错误 + 解决方案 先 -> 把它们刷掉 请提前修好: 1. 无限工具......
Blum
3 common mistakes in AI agents + solutions brush them off first -> they'll brush you off so, fix upfront: 1. infinite tool call - resources drain even without your knowledge agent calls tool, it fail, restart repeatedly until collapsing (Ralph Loop) > fix: set limits +… https://twitter.com/Blum_OG/status/2032900479559283166/photo/1
中文: 人工智能代理中的3个常见错误 + 解决方案 先 -> 把它们刷掉 请提前修好: 1. 无限工具调用——即使没有你的知识,资源也会流失 代理调用工具,它会失败,会反复重新启动,直到崩溃(Ralph Loop) 修复:设定限制 +...
Blum
RT @Blum_OG: how old‑school coders feel now: - no cursor - no claude code - no chatgpt - no copilot just sitting, typing code manually an…
中文: RT @Blum_OG:老派程序员现在的感受: - 无光标 - 无引字代码 - 无聊天 - 无副驾驶 只需坐着,手动输入代码......
Blum
RT @alphabatcher: BEST local LLMs to run in 2026: ​ High-performance (24+ GB VRAM, preferably with multiple GPUs) ​ • Kimi K2 - 1T params,…
中文: RT @alphabatcher:2026年最佳本地LLM: ​ 高性能(24 GB VRAM,最好配备多个 GPU) ​ • 基米K2 - 1T 参数,...
Blum
how old‑school coders feel now: - no cursor - no claude code - no chatgpt - no copilot just sitting, typing code manually and reading docs https://twitter.com/Blum_OG/status/2032233006363259140/video/1
中文: 老派程序员现在的感受: - 无光标 - 无标语代码 - 无聊天 - 无副驾驶 只需坐着,手动输入代码并阅读文档
Blum
RT @alphabatcher: Skills needed to get hired as a $10k/mo AI engineer: ​ AI-specific skills: ​ > Prompt engineering > Multi-agent systems >…
中文: RT @alphabatcher:获得雇佣成为 1万美元/月人工智能工程师所需的技能: ​ 人工智能专用技能: ​ 快速工程 多代理系统 ......
Blum
RT @alphabatcher: Claude vs. Claude Cowork vs. Claude Code ​ Anthropic built three different Claude tools on the same AI ​ If you're using…
中文: RT @alphabatcher:克劳德 对阵克劳德·科姆德 对比克劳德密码 ​ Antropic 在同一 AI 上构建了三种不同的 Claude 工具 ​ 如果你正在使用......
Blum
RT @Blum_OG: how to сreate OpenClaw skill in 3 min skills are a key part of a quality AI agent u can't do without them and custom skills…
中文: RT @Blum_OG:如何在3分钟内完成OpenClaw技能 技能是优质人工智能代理的关键部分 没有他们和自定义技能,你就无法做到......
Blum
how to сreate OpenClaw skill in 3 min skills are a key part of a quality AI agent u can't do without them and custom skills are often essential safety first: always test locally before production use 1. creating a directory example (entered in terminal): | mkdir -p… https://twitter.com/Blum_OG/status/2031479745263841650/photo/1
中文: 如何在3分钟内培养OpenClaw技能 技能是优质人工智能代理的关键部分 没有他们,你就无法做到,而定制技能往往至关重要 安全第一:在使用前始终进行本地测试 1. 创建一个目录 示例(进入终端): | mkdir -p...
Blum
RT @alphabatcher: Startup Founders Bundle (Free/paid): ​ 5 free options (best ROI for a startup): ​ Supabase - backend, database, and auth…
中文: RT @alphabatcher:初创企业创始人套装(免费/付费): ​ 5个免费选项(初创企业最佳投资回报率): ​ 后端图——后端、数据库和 auth...
Blum
RT @Blum_OG: how I feel after using "please" in a dialogue with LLM (last session I called it DeepSeek-tier shit) https://twitter.com/Blum_OG/status/2031100673417424995/video/1
中文: RT @Blum_OG:在与LLM的对话中使用“请”后我的感受 (上一次会议我称之为深度寻找级)
Blum
how I feel after using "please" in a dialogue with LLM (last session I called it DeepSeek-tier shit) https://twitter.com/Blum_OG/status/2031100673417424995/video/1
中文: 在与LLM的对话中使用“请”后,我的感受如何 (上一次会议我称之为深度寻找级)
Blum
RT @alphabatcher: 90% of vibe-coded apps have at least one critical vulnerability ​ 15 security rules every vibe coder needs before shippin…
中文: RT @alphabatcher:90%的 vibe 编码应用程序至少存在一个关键漏洞 ​ 每个氛围编码器在发货前都需要的15条安全规则......
Blum
RT @Blum_OG: pov: finally shelled out $2000+ for your mac mini m4 pro but heard u still need to install and setup some "openclaw" thing ht…
中文: RT @Blum_OG: pov:终于为你的 mac mini m4 专业公司支付了 2000 美元 但听说你仍然需要安装和设置一些“openclaw”的东西......
Blum
pov: finally shelled out $2000+ for your mac mini m4 pro but heard u still need to install and setup some "openclaw" thing https://twitter.com/Blum_OG/status/2030398506847044080/video/1
中文: pov:终于为你的Mac mini m4 pro支付了2000多美元 但听说你仍然需要安装和设置一些“openclaw”的东西
Blum
RT @Blum_OG: POV: u quit your job to chase airdrops… now u work longer hours, and during payday it just says: “Not eligible.” https://t.co…
中文: RT @Blum_OG: POV:你辞职是为了追逐空投...... 现在你工作时间更长,发薪日期间只说:“不符合条件。”
Blum
POV: u quit your job to chase airdrops… now u work longer hours, and during payday it just says: “Not eligible.” https://twitter.com/Blum_OG/status/2030016869244227694/video/1
中文: POV:你辞职是为了追逐空投...... 现在你工作时间更长,发薪日期间只说:“不符合条件。”
Blum
RT @Blum_OG: Error-Free Update OpenClaw agent develops quickly and gets updates frequently so, to unlock new features + get fixes for old…
中文: RT @Blum_OG:免费更新 OpenClaw 代理快速开发,并经常获得更新 因此,要解锁新功能,并为旧程序获取修复程序......
Blum
Error-Free Update OpenClaw agent develops quickly and gets updates frequently so, to unlock new features + get fixes for old ones we shouldn't miss these updates first thing to do: > know how openclaw was installed before - preferred update method is re-run the website… https://twitter.com/Blum_OG/status/2029610825674346758/photo/1
中文: 无错误更新 OpenClaw 代理快速开发,并经常获得更新 因此,要解锁新功能,并获取旧功能的修复方案 我们不应错过这些更新 首先要做的事情: 了解 openclaw 之前是如何安装的 - 首选的更新方法是重新运行网站......
Blum
OpenClaw is more than just trading bots it's a user-friendly tool for wide usage many look at it through a narrow lens but actually @openclaw provides huge opportunities a few cool ones imo: > automated web monitoring 24/7 > routine management - checking mail/notifications… https://twitter.com/Blum_OG/status/2028928006912393362/photo/1
中文: OpenClaw 不仅仅是交易机器人 是一款便于用户使用的工具 许多人通过狭小的视角来看待它 但实际上,@openclaw 提供了巨大的机遇 几个很酷的: 全天候自动网络监控 日常管理 - 查询邮件/通知......