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有分析者发一张图，号称 ai 前沿公司的 arr 最近已经超过 windows + office 的年收入，这是一种缺乏商业常识的比较。 1. Windows + office 是垄断性定价，没有竞争。ai 公司 token 则面对持续变化的，激烈的价格竞争。 2. Windows + office 边际成本接近于零，研发成本也很低，利润巨大。ai 公司的模型要持续更新训练，推理成本巨大，需要足够算力支持服务，所有竞争者目前都在亏钱。 等到尘埃落定后，大家会发现大部分 ai 公司的 arr (年度经常性收入）的真相是：即非年度，也非经常，更不是收入。

🕳️ Mole for Mac 1.12 is live. The theme this time: use less of your Mac, and be honest about what it did. Lighter over days, not minutes. Sampling wakes less often, menu bar CPU stops creeping up, long lists stay smooth. Cleanup reaches further: Dia, Zed, stale caches. It marks cloud-synced files, reports the space you actually got back, and never stalls on a stubborn folder. Chat history, local models and active builds stay untouched. Updates that finish. App Store apps update inside Mole when that's safe, Homebrew shows real progress and survives slow networks, ChatGPT and Chrome hand off to their own updater. When macOS blocks a replacement, the row tells you why and opens the right setting. Battery Care can top up to 100% on demand, and the card shows live power draw, real health, and whatever is eating the most. The menu bar runners are redrawn pixel-crisp from the open-source RunCat Neo gallery (thank you, Takuto Nakamura), and every runner's pace tracks real load. Plus: Celsius by default, an Open Source Licenses panel, SMART failures in the health score, VoiceOver fixes, and no more twin windows on dual-display Macs.

最近一直在忙着把我的 App 变成跨平台的，试了几种方案还是决定用 Rust + GPUI。 一开始就是用的 Electron，但是视频编辑这种场景纯网页实现性能优化还是挺不容易的，尤其是视频一长、字幕一多就会很卡，内存占用也很夸张。我不怀疑持续优化下去能是能有一个还不错的性能的，但要花不少时间精力。 所以我后来就决定先做一个 Mac 版本（图1），Swift + AppKit，用 Fable 5 开发，效果特别好，跟设计稿几乎一样。必须说 Fable 5 在还原 UI 能力上是最强的，没有之一。 但现在想要支持跨平台，就还得考虑其他方案。先是用 Rust 做了一个跨平台 cli 的 PoC，效果很好，音频转录和视频导出的性能比 Swift 还好，还能支持 Mac、Windows 多平台。 接下来就是把 Swift 版本移植到 cli 之上，工作量还是挺大的，前期开发的功能越多，现在迁移工作就越难。初步是完成了，但接下来就是 Windows 版本的支持。 再去基于 cli 开发个 windows 版本成本还是挺高，尤其是要去 windows 电脑上开发测试，各种逻辑同步想想都头大。现在 AI 让写代码变得成本很低，但是测试和验收成本还在那里，跨平台的好处就是你核心逻辑测试没问题，后面只有少量兼容性的问题需要去测试，工作量小很多。 因为 cli 已经是 rust 写的，所以自然而然就会想到用 rust 的 GPUI 去做跨平台，不过决定之前肯定是要先做 PoC 验证的。 跟 Fable 5 一起写了个技术方案文档，由于上个周期额度到了，后面就先让 GPT 5.6 Sol 去实现了一个 PoC 版本（图2），还不错了。 今天 Grok 4.6 发布，又用 Cursor + Grok 4.6 实现了一个版本（图3），效果要差一些。Grok 4.6 有点好处就是生成的速度极快 今天晚上 Claude 的额度终于刷新了，再让 Fable 去实现了一个版本（图4），相对来说是最好的一个，但离成品也还有不小的差距。 经过这三个 PoC 版本，至少可行性上是没什么问题了，性能也很好，接下来就沿着这个方向走下去了。 --- 对了，现在 BaoCut Skill 从 Windows 下也可以转录和翻译视频了：

A 19-year-old Japanese student built a trading bot with Claude Code in 2 days. Used his iPad as a second monitor. First night: $6,732 profit. Starting capital: $68. Total profit so far: $750,000. Here's how it works: The bot scans over 50 markets simultaneously. Syncs live BTC data from Binance every second. Spots price errors before humans even notice. The edge is pure speed + pattern recognition. While traders stare at charts trying to predict the next move, his bot is already executing on mispricing across dozens of markets. No guessing. No emotions. No hesitation. Just Claude Code logic finding gaps that close in seconds. He built the entire system in 48 hours: → Claude Code handles the trading logic → Binance API feeds real-time BTC data → iPad displays multi-market monitoring → Executes trades when arbitrage windows open The system runs 24/7. Every price dislocation = profit opportunity. Most people are still trading manually, refreshing charts, second-guessing entries. Meanwhile this 19-year-old engineering student turned $68 into $750K by letting Claude Code do what humans can't: process 50 markets instantly and execute without fear. Why are people still trading manually? 💡 I'm giving away the exact Claude Code setup for free. 24 hours only. To get it:- 1️⃣ Comment "Fable" 2️⃣ Like and Repost 3️⃣ Follow @sumitdoriya21 I'll DM you the complete setup.

A 19-year-old Japanese student built a trading bot with Claude Code in 2 days. Used his iPad as a second monitor. First night: $6,732 profit. Starting capital: $68. Total profit so far: $750,000. Here's how it works: The bot scans over 50 markets simultaneously. Syncs live BTC data from Binance every second. Spots price errors before humans even notice. The edge is pure speed + pattern recognition. While traders stare at charts trying to predict the next move, his bot is already executing on mispricing across dozens of markets. No guessing. No emotions. No hesitation. Just Claude Code logic finding gaps that close in seconds. He built the entire system in 48 hours: → Claude Code handles the trading logic → Binance API feeds real-time BTC data → iPad displays multi-market monitoring → Executes trades when arbitrage windows open The system runs 24/7. Every price dislocation = profit opportunity. Most people are still trading manually, refreshing charts, second-guessing entries. Meanwhile this 19-year-old engineering student turned $68 into $750K by letting Claude Code do what humans can't: process 50 markets instantly and execute without fear. Why are people still trading manually? 💡 I'm giving away the exact Claude Code setup for free. 24 hours only. To get it:- 1️⃣ Comment "Fable" 2️⃣ Like and Repost 3️⃣ Follow @sumitdoriya21 I'll DM you the complete setup.

我Mac上安装的各种小软件，有很多是满足我犄角旮旯的需求。 Amphetamine：AI时代必备，可以让MacBook盒盖不休眠。免费。 UU远程：AI时代必备，比Codex和Claude自带的远程好用。免费。 Supercharge：实现点击Dock栏里的应用图标可以隐藏应用窗口；Command+X/V实现剪切文件和粘贴文件；Finder里点击退格键直接删除文件（默认是Command+退格键）；Finder里回车键直接打开文件；Finder里Option+N新建txt/md任意格式的文件；配置快捷键可以一键隐藏所有应用窗口，实现返回桌面的效果。总之就是把窗口体验变得像Windows。收费。 TabTab：AltTab收费后改这个了，体验更好更简洁。收费。 Raycast：功能很全很多，但我只用里面的剪切板记录功能，这个功能比其他专门的软件做的都要好。部分功能免费。 Ice：右上角的菜单栏整理。新版本Mac系统不再需要了。免费。 Mac Mouse Fix：能让鼠标滚轮有控制缩放的能力。免费。 RDM：修改内置屏幕和外接屏幕的分辨率。免费。 PearCleaner：删除软件的同时删除关联文件。免费。 LocalSend：本地设备间文件互传。免费。 Rectangle：应用窗口快速布局。免费。 SoundSource：分别调节每个软件的音量。收费。 Deeper：功能很多，我只用里面的给Dock栏添加空白的功能，可以用于划分功能区域。免费。 PhotoScapeX：编辑图片的应用。能用，但是比不上Windows上的光影魔术手。基本免费。 Lyn：极简图片查看工具。收费，太贵，性价比不高。 CheatSheet：快捷查看当前应用的所有快捷键。免费。 Little Snitch：网络监控和拦截软件，我主要用于配置Claude应用必须走小火箭的端口。收费。 IINA：视频播放器，比不上Windows上的PotPlayer。免费。 Mole：清理空间。CLI版本免费，APP收费。 EdgeSpeak：语音识别+语音合成，而且有CLI供Codex等Agent调用。收费。

A 19-year-old Japanese student built a trading bot with Claude Code in 2 days. Used his iPad as a second monitor. First night: $6,732 profit. Starting capital: $68. Total profit so far: $750,000. Here's how it works: The bot scans over 50 markets simultaneously. Syncs live BTC data from Binance every second. Spots price errors before humans even notice. The edge is pure speed + pattern recognition. While traders stare at charts trying to predict the next move, his bot is already executing on mispricing across dozens of markets. No guessing. No emotions. No hesitation. Just Claude Code logic finding gaps that close in seconds. He built the entire system in 48 hours: → Claude Code handles the trading logic → Binance API feeds real-time BTC data → iPad displays multi-market monitoring → Executes trades when arbitrage windows open The system runs 24/7. Every price dislocation = profit opportunity. Most people are still trading manually, refreshing charts, second-guessing entries. Meanwhile this 19-year-old engineering student turned $68 into $750K by letting Claude Code do what humans can't: process 50 markets instantly and execute without fear. Why are people still trading manually? 💡 I'm giving away the exact Claude Code setup for free. 24 hours only. To get it: 1️⃣ Comment "Fable" 2️⃣ Like and Repost 3️⃣ Follow @sumitdoriya21 I'll DM you the complete setup.

If you join a startup and they give you: - a MacBook - Codex and Claude subscriptions - your job offer on a Sunday night - a random urgent task on your first day - a founding team with kids you’re probably in the right place. If they give you: - a Windows laptop - one responsibility for the next six months - Outlook - PowerPoint decks - an office on the outskirts of town good luck. You’re going to need it.