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🚨STEVE JOBS FUE DESPEDIDO DE APPLE Después se presentó en el MIT y soltó la masterclass de negocios más cruda y sin filtros de 60 minutos jamás grabada. Cero mentiras de relaciones públicas. Cero imagen que proteger. Solo pura y brutal honestidad del hombre que construyó Apple una vez y estaba a punto de reconstruirlo aún más grande. Deja de scrollear. Mira esto esta noche en lugar de Netflix. Guárdalo y regresa cuando lo necesites 🔖

亲身经历，大家不要在 Google Play 上添加国内 visa MasterCard 等信用卡 如果添加了，Google 官方会根据你的付款地址记录你的账号是中国的，很多 Google 产品使用都受限了，包括： 1、Google Play 不能搜索、下载 Claude GPT Grok 等国外 AI 应用 2、Google flow 无法使用等 而且只有一个付款方式时，无法手动删除被记录的地址 目前解决方法 1、 通过添加其他国国家的信用卡等支付方式，添加成功后删除原来国内的地址。 2、手动在支付地址中添加了其他国外地址。这个我在尝试，因为国内的地址还存在，不确定是否有效。 X 的大佬们有其他解决方案吗？

Today we are releasing Cloudflare OS, a chatbot with connectors, just like every other tech company is doing. Except actually, it's different. This is a remake of Sandstorm[.]io, my startup from 10 years ago, except this time built on Cloudflare Workers (the platform I've spent the last 9 years building) and deeply leveraging AI. This is more or less the culmination of my secret 10-year master plan. This is a full-on personal app vibe coding platform, in which the sandbox is so secure that you can pretty much go wild -- the AI cannot introduce a significant security bug. We believe a company's security team can feel comfortable giving non-technical users permission to vibe code and then sleep soundly at night. How is that possible? It's the Sandstorm security model, revisited. A "Gadget" is the same thing as a Sandstorm "Grain": a fine-grained app instance. For example, if you have a document editor app, each document runs as a separate instance of the app, in a separate sandbox (one "Gadget"). This means two things, both of which I think are Big Deals: 1. The platform can manage all access control, by controlling who can access the Gadget at all. There is no way the Gadget can accidentally leak itself to an attacker -- even an attacker who has access to other Gadgets based on the same app. 2. Since everyone is running their own copy of the code, everyone can freely *modify* their copy of the code. Think about #2# a bit more. What if, when you wanted a new feature in the software you are using, you could just prompt your agent to add it? This doesn't work in the cloud Software-as-a-Service model, because you are not running your own copy of the app. Sandstorm tried to change that 10 years ago, but the world wasn't ready, because not enough people had the skills or patience to actually modify their software. AI has changed that. Now you just ask the agent -- the same agent that you are using to help you interact with the Gadget can also modify the code of the Gadget. And it is so fun.

兄弟们给大家一个踩坑指南，准备订阅 ChatGPT 的，真别硬冲苹果 App Store 了。 苹果风控已经离谱到有点搞笑，尤其礼品卡余额，钱充进去很丝滑，订阅成功像抽卡，搞不好还给你卡审核。 最省事的路子： 安卓手机，或者电脑装个 BlueStacks，登录 Google 账号，直接走 Google Play 订阅。 不用充值，任意地区 Visa / Mastercard 都能试。 Google Play 没那么神经质，成功率高很多。 别问我为什么知道，都是钱砸出来的经验。

📢Meet Qwen3.8-Max — our most capable model to date. Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all!🎉 Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters: - Autonomous coding: 10+ days of self-evolving development, from empty folder to production without hand-holding, complete project trace in the GitHub： - Real work, real results: Production-quality deliverables across hundreds of professions. - Long-horizon mastery: System-level autonomous planning with closed-loop adaptive learning, driving 500+ turns of chip design optimization and 365 days of e-commerce strategy. - Native multimodal intelligence: Vision isn't just input — it's a continuous feedback loop for planning, execution, and self-correction. 💰Pricing: Input: $2.0 / M tokens Output: $6.0 / M tokens Implicit Caching: $0.25 / M tokens Start building with Qwen3.8-Max! 🚀 📖 Blog: ✅ Qwen Studio: ⚡ API:

Only if education could be this interactive ❤️‍🔥 I've had a looong wish to build something genuinely useful through vibe coding, and I finally did it. A 3D human anatomy application built with @threejs using GPT 5.6 Sol. It all started with a single design image that I created using GPT Image 2.0. I then used it to generate every 3D organ image, one by one. Next, I converted each of those images into 3D models using @tripoai (and no, they didn't sponsor this 😄). After that, I opened Codex, wrote a master prompt based on the design, and gave it the prompt, the design image, and all the 3D models. Codex built the first version beautifully, but there was one big problem. Every single 3D model was nearly 120-150 MB. That obviously wasn't practical for the web and was giving a performance of 16fps. After a few iterations, Codex optimized each model down to roughly 2–5.5 MB while preserving the visual quality, reducing the total asset size from ~900 MB to just 28.6 MB. And each model loads on demand. Along the way, Codex also generated those anatomical illustrations showing where each organ sits in the human body, and even created the interactive hotspot markers that explain different parts of every organ. It handled all of that. The process wasn't exactly one shot, but it also wasn't difficult. You just have to do it step by step. It genuinely felt like building something that could make learning anatomy much more engaging. The inspiration came from @DilumSanjaya's 3D animal plant cell project. I remember seeing it and thinking, "I want to build something like this one day." And I did it :D Live: Code: