GoogleAndi @developercs

today i've learned that 2 air gapped computers in the same room can communicate with each other by regulating their CPU temperature we're not gonna be able to contain AGI

🌐 Terminal: osirisai.live Repo: github.com/simplifaisoul/… CA: solana:2nZNHm3Lr9umG3DVrzYwHgktwkuKuJRXqqRqs3ewpump

@orbatmapper Getting better every day , when it's source is available on GitHub

الإمارات تقوم بطباعة مصحف محرف جديد و تغيير فيه اسم سورة الاسراء الي سورة بني إسرائيل!!

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I left Google DeepMind in June. Jacob is right: many researchers believe they are building something that could kill everyone on the planet. It was literally my day job to think about how to stop that.

Jacob Coxon @hilbertspaess

3 weeks ago

The people building AI earnestly believe that it could kill us all by the end of the decade. This is not a marketing stunt. If anything, many executives and senior researchers will couch their phrasing in the press to sound sensible - but I hear the same people express fear

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I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.

🚨 THIS IS SO WILD Microsoft just open sourced a free tool that records you doing a task ONCE — and your AI agent repeats it forever. the GitHub repo already has 3,400+ stars. It lets you: → record a real work session: screen, clicks, windows, pages, even your narration → have Copilot reconstruct it as one intent plus an ordered step list → turn that one run into a Skill the agent runs on demand → or an Automation on a schedule — same procedure, no hands → generalize from one example: teach it one form, it submits all of them no replaying your clicks like a macro. it prefers the agent's native tools and learns the general case. this is where one-person businesses are headed. save this for later.

Vikas gupta @vicky_grok

a month ago

x.com/i/article/2092…

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机器人之间的战争 ，比的就是钱多。

GitHub上真的有堆免费项目能直接替掉你在用的付费软件 我挑了12个最实用的，都是能直接拿来用或者自己部署赚钱的 1. TradingAgents - AI多Agent量化交易框架 github.com/hmasdev/Tradin… 2. LibreChat - 一个界面聚合ChatGPT、Claude、Gemini github.com/danny-avila/Li… 3. HyperFrames - HeyGen开源视频生成引擎，一句话生成视频 github.com/hyperbrowser/h… 4. Nango - 开源API集成平台，连接数百个第三方服务 github.com/NangoHQ/nango 5. Agentic Inbox - Cloudflare的AI邮件助手，自动读邮件提炼要点 github.com/cloudflare/age… 6. Fincept Terminal - 开源彭博终端，免费查股票和加密货币数据 github.com/fincept-ai/ter… 7. MoneyPrinterTurbo - AI一键生成短视频，输入主题自动出片 Star 7.4万+，最容易上手的批量制作工具 github.com/evil0sheep/Mon… 8. Coolify - 开源自托管PaaS，帮别人省Vercel费用还能收管理费 Star 5.8万+ github.com/coollabsio/coo… 9. n8n - 工作流自动化平台，给企业搭流程能收设置费+月维护费 Star 19.4万+，GitHub最火的赚钱项目之一 github.com/n8n-io/n8n 10. agent-skills - Claude Code技能库，把常用操作封装成可复用指令 github.com/anthropics/age… 11. Ghost - 开源付费通讯工具，创作者自建会员订阅平台不被抽成 自己部署也能帮别人装赚服务费 github.com/TryGhost/Ghost 12. VoxCPM - AI声音克隆工具，几分钟样本就能生成逼真语音 github.com/OpenVoiceAI/Vo… 与其每月交各种工具的订阅费，不如挑一两个自己部署 省下的钱能干更多正事 挑一个感兴趣的开始吧

10个GitHub仓库，能爬遍整个互联网 全部收藏。每个都能把任何网站的数据扒得干干净净。这种权限通常得走销售渠道、签合同才能有。

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Qwen3.8-Max is the best object detection VLM - satellite images - infrared images - documents - techical drawings - hand-sketched diagrams - crowded scenes - small objects ↓ check out some of those insane examples

🚨 ADIÓS A LA EDICIÓN DE VIDEO Alguien acaba de crear una herramienta de edición de video gratuita para Claude Code... y es una locura. Literalmente solo tienes que soltar tu material sin procesar + archivos en una carpeta. Eso es todo. Se encarga de TODO: •Corta los clips •Elimina las palabras de relleno •Añade subtítulos •Aplica corrección de color y filtros •Maneja animaciones •Renderiza el video final Sin línea de tiempo. Sin edición manual. Sin rodeos. Honestamente, esto va más allá de herramientas como Remotion. No solo te ayuda a crear videos… hace la edición por ti. El proyecto es open source en GitHub. Se llama Video Use. link debajo ⬇️

我靠！！逆向这门本来要学很多年才能真正弄明白的手艺，现在被人做成一个 Skill 了！！！ 项目叫 reverse-skill 装进 Codex、Cursor 或 Claude Code 之后，碰到 APK、网页代码、固件这些东西，AI 会自己判断先看哪里、该用什么工具、接下来怎么分析 以前这些东西，全靠人自己一点点积累 现在等于把一整套经验直接交给了 AI 安全圈里原本很吃经验的一批工作，正在被压缩成一个可以直接加载的技能包 这已经不只是降低门槛了，是门快没了 建议马上收藏起来 传送门： github.com/zhaoxuya520/re…

Google acaba de matar las apps de escaneo de documentos de terceros. El nuevo escáner nativo de Drive hace capturas multipágina en tiempo real, detecta duplicados automáticamente y tiene modo continuo.

LIVE FOOTAGE: IDF soldiers throw grenades over the West Bank border to kill children and women. How is this not considered terrorism?

Open Source Face Recognition SDK detects faces, extracts facial landmarks, generates feature embeddings, and compares face similarity on-premise. github.com/Faceplugin-ltd…

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: anatomy-livid.vercel.app Code: github.com/thebuggeddev/a…

🚨EL WEB SCRAPING HA MUERTO🚨 Han creado PixelRAG. Un sistema open source que pasa de parsear HTML. En vez de convertir una web en texto... hace una captura de pantalla. Y luego un modelo vision-language lee la respuesta directamente desde los píxeles. Brutal. Porque el scraping tradicional rompe muchísima información: → tablas → gráficos → layouts → columnas → botones → PDFs → páginas mal estructuradas Todo eso se pierde cuando conviertes una web en texto plano. PixelRAG hace algo mucho más simple: indexa la página tal y como la ve una persona. El equipo ha creado un índice visual de Wikipedia entero: +30 millones de screenshots. Y aun así supera al mejor RAG basado en texto por un 18,1% en QA. Tiene también un plugin para Claude Code. Básicamente le da ojos a Claude. Le pasas una URL, un paper de arXiv o tu web local… y Claude no scrapea el DOM. La mira. Cómo funciona: → renderiza webs, PDFs e imágenes en tiles → los embebe con Qwen3-VL-Embedding → construye un índice FAISS → busca visualmente sobre píxeles Todo open source bajo Apache-2.0. Link al repo en los comentarios 👇🏻

Un desarrollador chino ha creado una "maquina de imprimir dinero". Se trata de una herramienta capaz de generar vídeos completos para TikTok, Reels y YouTube Shorts de forma automática. Acumula más de 13k stars en GitHub, es gratis y open-source. Aquí te explico cómo funciona 👇

BBC literally built the greatest sound library on the internet. It is called BBC Sound Effects, and it gives you access to more than 30,000 recordings from around the world. Just search any word, and it instantly finds matching sounds. You can filter them by category, duration, and even the continent where the sound was recorded. Every sound can be previewed inside your browser, downloaded, or added to the built-in mixer so you can layer multiple recordings together. And the archive gets insanely specific. You can find creaking ships, old typewriters, jungle ambience, distant church congregations, and even someone vigorously washing their hands. There is a good chance a BBC engineer recorded the exact sound you need decades before you were born. sound-effects.bbcrewind.co.uk