ChiehHsing

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ChiehHsing

ChiehHsing

@chiehhsing

Jeff-Lee Software Developer from TAIWAN. $TSLA Long Term Investor. I love life, earth, camping.

Taiwan Katılım Aralık 2010
1.3K Takip Edilen1.3K Takipçiler
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鸟哥 | 蓝鸟会🕊️
Mac用户必装:一个命令清出95G垃圾,CleanMyMac可以卸载了(免费卸载OpenClaw龙虾工具) 用Mac的都有个隐痛——系统用着用着就莫名其妙满了。你打开存储一看,"系统数据"占了几十G,但你根本不知道是什么,也不敢删。 于是花几百块买个CleanMyMac,一年一续费,干的事情其实就是帮你删缓存。 现在有个开源替代品——Mole(github.com/tw93/Mole,42,010星,1,200 fork),一个Go写的命令行工具,一个二进制文件解决所有问题。 它能干嘛: 1️⃣ 深度清理 — 应用缓存、浏览器数据、开发工具残留、系统日志、临时文件,有用户一次清出95.5G 2️⃣ 智能卸载 — 不只是删.app,会把配置文件、偏好设置、Launch Agent、插件残留全部找出来干掉 3️⃣ 磁盘分析 — 可视化看每个文件夹占了多少空间,大文件一目了然 4️⃣ 系统优化 — 重建系统数据库、清Spotlight索引、重置网络服务、管理swap文件 5️⃣ 实时监控 — CPU、内存、磁盘IO、网络、温度、电池健康,全部实时看 6️⃣ 开发者福利 — 自动扫描项目目录里的node_modules、build、venv,这些吃硬盘的大户一键清理 最让我放心的一点:默认安全模式,删之前先dry-run预览,拿不准的文件宁可跳过也不乱删。所有操作都有日志记录。 安装就一行:Homebrew装或者跑个脚本。还支持Raycast和Alfred集成。 说白了,CleanMyMac能干的它全能干,还免费、开源、不收年费。4.2万星不是白给的。
鸟哥 | 蓝鸟会🕊️ tweet media
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The Insider
The Insider@insiderinvests·
Holy sh*t The $SoFi stablecoin just went from $16 million to $26 million
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X Freeze
X Freeze@XFreeze·
Guess who??
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The Insider
The Insider@insiderinvests·
It's true, Deloitte audits $SoFi's loans Goldman Sachs acknowledged that the procedures performed by Deloitte are appropriate for their purposes Get f*cked bears
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Ming
Ming@tslaming·
GOOD NEWS 🚨 TESLA SEMI IS ALREADY A HIT WITH TRUCKERS — WSJ 🔥 Tesla is successfully winning over an influential and notoriously hard-to-please demographic: long-haul truckers. Those who have piloted the Semi during recent tests are praising its centered driving position, rapid charging, and superior range—all while carrying a price tag roughly $100,000 lower than rival electric rigs. When Tesla first unveiled its Semi plans nearly a decade ago, the project was seen as a pivot point for heavy-duty shipping, aiming to do for trucking what the Model 3 did for the passenger car market. The hands-on feedback suggests that vision is becoming a reality. Angel Rodriguez, a 56-year-old driver for Hight Logistics in Long Beach, California, shared his experience after a month-long trial: "It’s just easier on your body. It’s less stressful because you’re not really having to engage the clutch and the stick shift." It isn't just the drivers who are impressed; fleet owners are seeing a massive shift in utility as well. Jennie Abarca, co-founder and CEO of King Fio Trucking, who currently has 20 Semis on order, noted: "The Teslas change everything. It opens up a whole different type of delivery that I can make."
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实践哥MinLi
实践哥MinLi@MinLiBuilds·
今天看了一篇号称 NotebookLM 神级使用教程的,里面全是基础使用。 我这篇做数字人的才是神级技能,NotebookLM没有幻觉。 我最近在开发另一个神级技能,使用 @IceBearMiner 的NotebookLM CLI做论文无幻觉检索,结合autoresearch自动强化循环,输入一些研究课题,可以研究的透透的
实践哥MinLi@MinLiBuilds

x.com/i/article/2023…

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阿绎 AYi
阿绎 AYi@AYi_AInotes·
这篇可以说是 skill 的终极指南了, 真正让Skills从能用变神器的,是3个反常识的最佳实践, 分类只是骨架,真正让他们把Skills用到生产级的,是踩了无数坑之后磨出来的实战经验,其中最戳我的三个点,直接推翻了我之前对提示词工程的所有认知。 第一个,也是最反常识的: 别写「应该怎么做」,要把「千万别踩的坑」放在最前面,专门建一个Gotchas区。 我们写提示词,总喜欢把所有的规则、要求、规范,一股脑堆在开头,总觉得写得越细,AI越听话。但他们内部的结论是:你给AI越多的「应该怎么写」,反而越让它失去对组织专属的深度理解,变成了个只会按模板套的机器。 真正有用的,是「我们之前踩过什么坑,这么干会出什么问题」。比如他们的billing-lib技能,开头不是写「这个库有10个函数,用法是xxx」,而是先写Gotchas区: 「1. 别用createCharge这个函数,2024年10月之后已经废弃了,用createTransaction替代,用了会导致计费失败; 2. amount字段的单位是分,不是元,之前有3次线上事故都是因为这个; 3. 调用前必须先checkUserPermission,否则会触发权限告警」。 就这么一个简单的调整,AI调用这个库的错误率,直接降了80%。因为AI最擅长的,是在规则内做推理,而你给它划的「绝对不能碰的红线」,比100条「应该怎么做」都有用。 第二个,用文件系统做「渐进披露」,别把所有东西都塞在一个文件里。 很多人用Skills,喜欢把所有规则、模板、例子,全写在一个README.md里,结果就是上下文爆炸,AI根本记不住,前面写的规则,后面就忘了。 他们的做法是:主README只写这个技能是干什么的、什么时候触发、核心红线是什么,剩下的详细模板、参数规范、例子,全部分拆到子文件夹里的md文件里,比如assets/quote-templates.md、scripts/reverse-prompt.js。AI只有在需要用到这个部分的时候,才会去读取对应的文件,平时不会占用上下文,也不会被无关信息干扰。 这就像你给新员工培训,不会把公司所有的规章制度、操作手册,全在第一天塞给他,而是先告诉他核心职责和红线,剩下的东西,等他需要干对应的活的时候,再给他对应的手册。既不会让他信息过载,又不会漏关键信息。 第三个,用On-Demand Hooks,给技能加「触发开关」,而不是让它全程都生效。 很多人用Skills,会把所有技能都默认开启,结果就是AI在不需要的时候,也会调用技能,反而把事情搞复杂。比如你只是想让AI写个简单的文案,它却非要调用code review的技能,给你挑一堆没用的毛病。 他们的做法是,给高频的、特定场景的技能,加一个斜杠触发的钩子,比如/deep-pierce,只有你输入这个钩子的时候,AI才会调用对应的技能,其他时候完全不生效。比如他们内部的/security-review钩子,只有你需要做安全审计的时候才触发,平时写代码不会干扰;还有/oncall-handbook,只有线上故障的时候才调用,不会在日常开发里瞎蹦出来。 这三个组合拳打下来,Skills就从一个「静态的提示词文件」,变成了「活的组织记忆+安全护栏+自适应工具箱」——它知道什么红线不能碰,知道什么时候该找什么资料,知道你触发了什么开关就该干什么活,完全不是之前那个只会按提示词套的机器了。
Thariq@trq212

x.com/i/article/2033…

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The Insider
The Insider@insiderinvests·
JD Power just named $SoFi Invest #1 in DIY Investor Satisfaction for 2026
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Ming
Ming@tslaming·
GOOD NEWS 🚨 Cybertruck sales could significantly improve by expanding into the military vehicle market 🔥 It turns out 30mm chain guns are incredibly effective at neutralizing drones. While they're usually found on Apache gunships, they're now being adapted for civilian trucks using the M-ACE sensor system ⚡️ Imagine Tesla delivering fleets of Cybertrucks to frontline zones like Ukraine. Outfitted with a chain gun and powered by FSD, the Cybertruck transforms into a fully autonomous, point-and-forget defense platform that could outclass purpose-built military tech 🆒
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工具兔🐰
工具兔🐰@tool_hopper·
别再把MacBook当普通电脑用了 你只用了macOS功能的10% 复制这16个隐藏设置,升级你的日常工作流
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Anthony Noto
Anthony Noto@anthonynoto·
Hi! Join me in buying, selling, and holding crypto with SoFi. You'll get $25 when you use this link to open an account and make a purchase of $50 or more—and you'll get to access crypto currencies on a federally regulated platform with the safeguards of a bank. sofi.com/invite/crypto?…
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The Insider
The Insider@insiderinvests·
I need $SoFi to close above $20.00 this Friday
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Ming
Ming@tslaming·
BREAKING 🇨🇳 SOLD OUT 🚨 Model Y inventory has been completely wiped out in China 💥 It’s now all pre-orders with a 1–3 week wait, only the Model 3 still has stock available currently 🔥 Tesla is going in full beast mode 🆒
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Alex Moore
Alex Moore@heyalexmoore·
🚨 BREAKING: Claude can now build a complete website in hours — not weeks. These 9 prompts can create sites that look like they cost $5,000+ to build. (Save this before everyone starts using them) 🧵
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UI/UX Savior
UI/UX Savior@UiSavior·
Claude Code + NotebookLM = Ultimate AI Cheat Code ⚡
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木马人
木马人@cnyzgkc·
想学 Cloude Code 的新手朋友,强烈推荐这个YouTube AI 频道~ 我差不多看完整个系列,真的很喜欢。 不是只讲理论,而是会提供大量技术实战,信息密度很高。 博主把复杂的概念转化成很容易懂的点,很适合新手学习~ 地址我放留言区了👇👇👇
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