Edison Ramirez @edisonmap

🚨 Google acaba de liberar una de sus herramientas internas más potentes. Ha lanzado Magika, un sistema que detecta el contenido real de cualquier archivo, aunque esté disfrazado. Por ejemplo, malware que parece un PDF o scripts ocultos como imágenes. Es gratis y open-source 👇

🛡️ Cybersecurity Roadmap — 2026 Stage 1: 🐍 Python Stage 2: 🌐 Networking Stage 3: 🐧 Linux Stage 4: 🔐 Security Fundamentals Stage 5: 🕵️ Ethical Hacking Stage 6: 🧰 Security Tools Stage 7: 🛡️ SOC + SIEM Stage 8: ☁️ Cloud Security Stage 9: 🚨 Incident Response Stage 10: 🎯 Security Projects Don't just learn cybersecurity. Learn to find, exploit, detect, and fix vulnerabilities. 🏆 Cybersecurity unlocked. 🔥

Clona voces, dobla vídeos, transcribe y crea audiolibros. Todo 100% en local. Sin registros ni suscripciones. ✓ +600 idiomas ✓ API compatible con OpenAI ✓ macOS, Linux y Windows Se llama VoiceStudio y es Open Source: → github.com/debpalash/Voic…

IA local según la memoria VRAM de tu máquina: 4 GB └─ GPU integrada → Gemma 4 E2B Q4_K_M 8 GB └─ RTX 5060 / 4060 → Gemma 4 12B QAT Q4_0 16 GB └─ RTX 5060 Ti / 4080 → Gemma 4 12B Q8_0 └─ (al límite) Gemma 4 26B A4B Q4_K_M 24 GB └─ RTX 3090 / 5080 Super → Qwen3.8-27B Q4_K_M 32 GB └─ RTX 5090 → Qwen3.8-27B NVFP4 (velocidad) o Q6_K (calidad) └─ M6 → Qwen3.8-27B Q4_K_M 48 GB └─ M5 Pro → Qwen3.8-27B Q8_0 64 GB └─ 2× RTX 5090 → Qwen3.8-27B BF16 └─ M5 Pro → Qwen3.8-27B BF16 96 GB └─ RTX PRO 6000 Blackwell → Qwen3.8-Flash-Next UD-Q2_K_XL └─ M5 Ultra → Qwen3.8-Flash-Next UD-Q3_K_XL 128 GB └─ DGX Spark → Qwen3.8-Flash-Next UD-Q4_K_XL └─ M5 Max → Qwen3.8-Flash-Next UD-Q3_K_XL 256 GB └─ M5 Ultra → DeepSeek V4 Flash 0731 UD-Q8_K_XL └─ 2× DGX Spark → DeepSeek V4 Flash 0731 UD-Q8_K_XL

How to Clean Metadata from any File or Image

The wait is over! Meet Arduino VENTUNO Q, where AI takes action. 💬 Run local LLMs like Qwen 3, Gemma 4, and Qwen 3 VLM directly on the board 🧠 NPU + CPU + GPU +MCU: @Qualcomm Dragonwing IQ-8275 with up to 40 dense TOPS of AI performance and STM32H5 microcontroller for real-time control 🗄️ 16 GB RAM + 64 GB eMMC + expandable storage 🪁 Linux-powered, pre-loaded with Ubuntu OS + Zephyr RTOS 🛠️ Build AI faster using Arduino App Lab, @huggingface, @EdgeImpulse, and Qualcomm AI Hub 💨 Move seamlessly from prototype to production through Works with Arduino Certification Program The first batch won’t last. Pre-order your VENTUNO Q with a free power supply and USB-C cable included! Get ready to enter a new era of Physical AI: arduino.cc/product-ventun…

El lado del mal - Guía de Seguridad de un Hacker para personas que no quieren ser Víctimas elladodelmal.com/2026/08/guia-d… #libro #grautito #hacker #ciberseguridad #estafas #proteccion

Now in preview: The ChatGPT desktop app for Linux. Use ChatGPT, ChatGPT Work, and Codex where you already work and build, with your projects and browser workflows on supported Linux systems.

Node.js 26.6.0 and 24.19.0 are out 💚 - nodejs.org/blog/release/v… - nodejs.org/blog/release/v…

I’m significantly older than you. I started coding in the late 60s. My current strategy is to not read any of the code written by my agents. That’s the only way I can take advantage of their productivity. What I do instead is to surround the agents with extreme constraints. Unit tests, gherkin tests, QA procedures, quality metrics, mutation testing, test coverage, and a plethora of others. In the end, I have very high confidence in the code they produce because they’ve had to run the gauntlet of all of my constraints and tests.

Running Gemma 4 26B locally with zero GPUs? Very cool. Running it on a 13-year-old Xeon CPU? Wild! It just shows us how far you can push older gear. It’s a great reminder that you don't need modern hardware to try the latest models.

I made this Three.js bookshelf inspired by the Stripe Press site. It scrolls horizontally, and you can open each book and flip through the pages. It took quite a few prompts to get the textures and small details right. I’m open-sourcing the code and prompt. Demo: mengto.github.io/complete-shelf GitHub: github.com/mengto/complet… Inspiration: press.stripe.com

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…

¡Este proyecto clona cualquier voz en segundos! Se llama Voicebox, es Open Source y corre en local ✓ 23 idiomas ✓ 5 motores TTS disponibles ✓ Rendimiento Top: Tauri + Rust Privacidad real y mucho potencial para apps con voz → github.com/jamiepine/voic…

Gemma 4 12B Coder is here and it's a game changer for local code generation. This GGUF model packs Google's latest gemma-4 architecture into a compact 12B size, perfect for running on consumer hardware. It's optimized for reasoning and thinking, making it ideal for developers who want fast, private coding assistance without the cloud.

OpenAI publicó una guía de buenas prácticas para Codex. Me quedo con estas ideas: 1) Context → explicá el objetivo y cómo se ve un buen resultado.
2) Planning → usá /plan para tareas complejas.
3) AGENTS.md → guardá instrucciones repetidas.
4) Configuration → definí una vez modelos, permisos y herramientas.
5) Validation → enseñale cómo verificar resultados.
6) MCP → acceso a GitHub, docs y bases de datos.
7) Skills → convertí workflows repetidos en Skills.
8) Automations → automatizá tareas que ya hacés manualmente.
9) Subagents → delegá investigación, testing o debugging. Cuanto mejor diseñado está el entorno, más trabajo puede hacer el agente por su cuenta.

Acaban de soltar Superpowers y esto lo cambia todo. Con más de 204k estrellas en GitHub y 100% gratis, convierte Claude Code, Cursor, Codex y varios más en un ingeniero senior de verdad. Se acabó que el agente se lance directo al código, tire los tests y se descontrole cuando el proyecto crece. Ahora fuerza el workflow real de un senior experimentado: -> Brainstorming **obligatorio** antes de escribir ni una línea -> TDD estricto (red → green → refactor). Sin test previo = código borrado -> Subagentes trabajando en paralelo con git worktrees aislados -> Contexto controlado en sesiones autónomas de horas Adiós al flujo “prompt -> código -> rezar”. Ahora es: Brainstorm → Spec → Plan → TDD → Subagentes → Review → Ship Compatible con Claude Code, Cursor, Codex, Gemini CLI, OpenCode y Copilot CLI. Open source - Licencia MIT Tu agente ya no improvisa. Trabaja como élite. Link de la repo abajo en los comentarios👇

Aprende Clean Architecture aplicado al Frontend ✓ Usa casos de uso, servicios y repositorios ✓ Cómo se organizan las distintas capas ✓ Nada de clases, todo con funciones ✓ Implementado con TypeScript dev.to/bespoyasov/cle…

CQRS Without MediatR: Hand-Rolled Command and Query Handlers in .NET by Adrian Bailador adrianbailador.github.io/blog/57-cqrs-w… #aspnetcore

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