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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 @expertwith_AI I'll DM you the complete setup.

我发现。已经将近一个月没用 Claude 了，我睡眠质量直线上升，Claude code 用的我提心吊胆，又是改时区，改系统语言，改 家宽 IP，改各种傻逼设定。没吊毛用的网络知识学了一大堆，我都快变嘉豪了，真就像做贼一样的，生怕一大早睡醒邮箱跳出来封号邮件，现在 Codex 驱散了橙色恐怖。虽然给洋人磕头不合适，但我真的高低要给 Tibo 老师 @thsottiaux 磕一个！！！谢谢你！

公开 skill 基本只在大众超高频需求有用，比如生图、PPT办公，主打的也不是完全对齐你的需求，而是给一个质量足够稳定的结果，也就是标品。 但是在日常 AI 工作领域，能称之为标品的流程究竟有多少个呢？大模型本身就是最大的标品，更胜于标品。 所以我们的最优 agent 都是自己长期迭代、手搓出来的。如果要用公开 skill，基本上用的都是自己所关注的领域的宝藏博主牛人做的 个性化skill，又或者是自己朋友比如说我 X 上友邻的 skill 。 所以说白了，你与其说是关注 skill，还不如说是关注那个人，关注他的方法论和理念。AI 时代人的重要性、个人 IP 的重要性，也就在此

AI makes launching ideas easy, but keeping an edge is tough. 💡 A company’s true moat lies in intangible assets like data, workflows, and brand equity. Join global leaders to discuss how AI is rewriting innovation at Singapore IP Week 2026 (Aug 26-27):

小小苹果，可笑可笑。 苹果为了压 iPhone 成本，找长鑫谈 LPDDR5X 降价，直接被拒。据韩媒报道，长鑫的报价甚至高于三星和 SK 海力士。 全球最会砍价的甲方，在存储这块已经压不动价了。 原因是华为小米在国内大规模扫货，国产牛逼！ 侧面也说明，这轮存储周期还没结束，继续奏乐，继续舞！

今天有好几个开源的小模型。 Mach-1 Additive：35B，1.7bit量化，16G Mac可以流畅运行。 模型： Shieldstral 1.0 3B：多模态审核模型，仅3B，支持文字+图片输入，支持自定义审核规则。 模型： Maple-Preview：20B总参数，1B激活参数，1.58bit量化，iPhone可运行，在M4 Mac Mini上可以达到218token/s。 模型： Pokee-Isaac 28B：这个没开源，28B模型，特色是1000万上下文。luna水平和价格。 官方介绍：