I don't unpack in a hotel or an Airbnb anymore until Claude Code finishes one sweep. Bags stay by the door. The laptop opens first. One prompt, 5 steps, read only the whole way: Wi-Fi: maps every device on the network and flags the camera brands and the ports cameras use to stream video Bluetooth: listens for AirTag, Tile and SmartTag beacons that keep showing up after you leave the room Your phone: runs Amnesty's open source spyware toolkit against known stalkerware indicators Lenses: walks you through a flashlight sweep of everything that faces the bed and the shower Report: one ranked table with the next move for each item, from asking for another room to calling the police It never logs into anything, never touches a device that isn't yours, and tells you straight what it can't see. I'd rather give it 10 minutes than spend the whole trip wondering. The full sweep is below, copy paste ↓

PHP5→PHP8のバージョンアップなんてほぼ作り替えレベル。AI使おうが深夜まで働こうがすぐに完了は無理。 お客さんのお財布のためにも、エンジニアの疲労のためにも日々保守費をしっかり出して、確実に対応していくべきだよね。本当に。

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México es un país lleno de RESENTIDOS SOCIALES. Brindar información sobre cuánto gana un MÉDICO solo alimenta el resentimiento, odio y malestar social hacia él. Y en pleno día del médico. Ya no me siento celebrado. Me siento ATACADO. Gracias, el festejo ya se fue a la mierda por su culpa. 😔

网景创始人 、硅谷顶级投资人Marc Andreessen 在访谈里坦言，他看到了科技史上最可怕的一道认知鸿沟， 传统巨头以为 AI 只是个降本增效的插件，而新一代 AI 原生团队，正在用完全非人的组织效率掀翻整个商业版图。 当年写出网景浏览器、见证了整个互联网三十年兴衰的 Marc Andreessen，坐在 Ben Horowitz 面前直接发出了感慨， 如果 1994 年我们做 Netscape 的时候就有今天这种 AI 工具，那简直不可想象。 现在绝大多数传统巨头和现有企业，依然在用改良软件的旧思维去看待大模型。 在他们的组织逻辑里，AI 只是一个高级功能，用来给现有业务做个插件、在钉钉里加个智能助手、或者把客服团队砍掉 20% 省点成本。 他们以为自己在拥抱变革，其实只是在给老旧的蒸汽机打补丁。 但真正恐怖的事情，正在那些刚成立的 AI 原生团队里发生。 那些创始人对 AI 能力的理解，跟大厂完全不在同一个平行宇宙。 他们每周都在看着底层技术飞速进化，而且他们压根不会把自己定义成一家软件公司、硬件公司、甚至是一家 AI 公司。 以前创办一家公司，你的组织架构是按人类的协同瓶颈搭出来的： 招产品经理写文档、招工程师写代码、招法务改合同、招运营做投放。 因为人类的脑力带宽有限，所以必须靠庞大的部门和管理层级来支撑业务。 而真正的 AI 原生物种，是用机器智能作为最底层的骨架。 两个人加上一整套自动化 Agent，可以直接把从市场洞察、软件工程、全栈设计到商业销售的链路全部跑通。 他们不是在效率上快了 30%，他们是在组织形态上彻底跨越了一个物种。 大厂的盲区，从来不是买不起算力，而是他们无法理解组织本身才是最大的负债。 当现有企业还在开会讨论如何把 AI 塞进现有的业务流程时，新一代的野蛮人正在用完全超越行业界限的方式，把传统的业务流程连根拔起。 未来拉开人与人、公司与公司之间差距的，根本不是你用了哪个模型，而是你到底是在用新工具维持旧世界的体面，还是用新世界的底层逻辑，重新定义了自己能做的事情。

Gamers today click "Install," wait a little while, and then hit the "Play Game" button. Technical skill required: zero. Gamers in the 1990s needed a PhD in computer science, mastery of hardware and software configuration, willpower, patience, BIOS knowledge, boot disks, base memory management skills, and insane amounts of trial and error - just to run a single game. Show this to anyone under 35 and they'll think you were a wizard... and maybe you were!

I’ve heard several OAI people say there are unfixable bugs in hardware that are exploitable by AI models directly speaking machine code so even if we could solve software that’s not enough. We need defense to move faster than offense if that’s even possible we may just have a new normal that requires adapting to insecure software (bank transfers require going into a branch and taking a dna test 🤣😬)

The exploits of the last few days are a good reminder of why we use SaaS. Our company pays for ~20 SaaS services. If we self-hosted them, we’d now be responsible for all of the security patches this week. Instead, our small monthly bill pays for their teams to handle everything.

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Unpopular opinion: your results with AI largely depend on how smart you are