I, The Pantocrator

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I, The Pantocrator

I, The Pantocrator

@integralprojec1

En otra cuenta soy master en tecnología, wireless telecomm, simulación matemática, arte renacentista, converso a linux. Aquí solo RT porno gay y ligando vatos

Katılım Kasım 2015
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I, The Pantocrator
I, The Pantocrator@integralprojec1·
Me caga la " música" banda y me cagan más lis compañeros de trabajo que ponen esa madre en horario laboral
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Fazt
Fazt@FaztTech·
5 programas que cambiaron mi forma de trabajar como dev: ⚡ Zed Editor en Rust con renderizado GPU. Absurdamente rápido. 🤖 OpenClaw Agente de IA corriendo 24/7 en tu máquina haciendo tareas por ti. 🧠 Obsidian No son notas, es un sistema de conocimiento extensible con plugins. 🖥️ Raspberry Pi Tu servidor personal para experimentar con Linux, redes y automatización. ⚙️ WezTerm Terminal configurable con Lua para workflows complejos. Todos open source. Todos multiplataforma. Todos hackeables. Conectados entre sí, el flujo de trabajo se transforma. youtu.be/pDN4zR8blwM ¿Qué herramientas están usando ustedes?
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Miguel Ángel Durán
Estoy probando Qwen Code y estoy sorprendido. ✓ 1000 peticiones gratuitas al día ✓ Acceso a Qwen 3.6 Plus ✓ De código abierto ✓ Es rápido Un nivel similar a Sonnet 4.6. Lo he probado para añadir traducciones a unas webs. → qwen.ai/qwencode
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Camille Roux
Camille Roux@CamilleRoux·
Algorithm Visualizer devrait être dans la boîte à outils de tout·e développeur·se qui apprend ou enseigne des algos — la visualisation en direct à partir du code rend les mécanismes abstraits vraiment lisibles. algorithm-visualizer.org
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Abhishek
Abhishek@HeyAbhishek·
10 YouTube channels that will make you an AI expert: 1. Andrej Karpathy - modern, practical lectures 2. Yannic Kilcher - Breaks down AI papers 3. AI Explained - Makes tough ideas easy to get 4. CodeEmporium - Step-by-step AI coding 5. 3Blue1Brown - Visuals for neural networks 6. Lex Fridman - Interviews with top AI folks 7. CodeEmporium - Step-by-step AI coding 8. sentdex - Python for machine learning 9. DeepLearningAI - Courses from Andrew Ng 10. AI Coffee Break - Weekly updates on AI Save this list.
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freeCodeCamp.org
freeCodeCamp.org@freeCodeCamp·
Programming drones with AI is a great way to learn about computer vision and automation. In this course, @beaucarnes helps you program a drone using Python and complete missions in a simulator. You’ll learn about 3D movement, computer vision, gesture control, and autonomous navigation. freecodecamp.org/news/master-ai…
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self.dll
self.dll@seelffff·
Claude Code costs $200/month here's how to run it for free. 4 commands. 10 minutes step 1 - install Ollama runs AI models locally → download from ollama.com → install. it runs in background on localhost:11434 step 2 - download a coding model → ollama pull qwen2.5-coder:14b (7b for 8GB RAM, 32b for 32GB+ RAM) step 3 - redirect Claude Code to your machine → export ANTHROPIC_BASE_URL=http://localhost:11434 → export ANTHROPIC_MODEL=qwen2.5-coder:14b step 4 - launch → claude → "make a hello world website" → it reads files, writes code, runs commands. locally. free same agent loop. same tools. $0/month the $200 was for convenience the capability was always free like + bookmark - you'll need this
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TheCyberPatronNetwork ©
TheCyberPatronNetwork ©@TheCyberPatron_·
The best LINUX resources that are FREE to learn in 2026: 1. Linux Foundation Training training.linuxfoundation.org/training/intro… 2. Linux Journey linuxjourney.com 3. Ubuntu Tutorials ubuntu.com/tutorials 4. Red Hat Training Resources developers.redhat.com/learn 5. GNU Documentation gnu.org/manual 6. OverTheWire Bandit (Linux Wargames) overthewire.org/wargames 7. The Linux Command Line Book linuxcommand.org/tlcl.php 8. MIT Missing Semester (Linux & CLI) missing.csail.mit.edu 9. DigitalOcean Linux Tutorials digitalocean.com/community/tuto… 10. Linux From Scratch linuxfromscratch.org 11. Arch Linux Wiki wiki.archlinux.org 12. freeCodeCamp Linux Course freecodecamp.org/news/tag/linux 13. Linux Survival linuxsurvival.com 14. NDG Linux Essentials netacad.com/courses/linux-… 15. Bash Guide tldp.org/LDP/Bash-Begin… Add more link in the comment section to help others study.
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Math Files
Math Files@Math_files·
Math champs don’t need calculators. 😂
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El Programador Senior
El Programador Senior@5eniorDeveloper·
Esta es la diferencia entre un junior y un senior
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maker.io
maker.io@MakerIO·
How to make a simple compact Internet radio – Yoradio Instructions ➡️ bit.ly/3TTBC55 #Howto #radio
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ElectronicsNotes by Ian Poole
How did the famous resistor colour code come about? We use it everyday, and often give it little thought - but how did the resistor colour code come about. When was it introduced, and who thought it up? It turns out those familiar bands have a fascinating history that dates back over a century. Before the Radio Manufacturers Association (RMA) standardised things in the 1920s, engineers and hobbyists lived in a "Wild West" of proprietary marking systems that made cross-referencing components nearly impossible. Here are three things you might not know about the history of the resistor colour code: 1. It was a "Masterclass" in Practical Engineering 🛠️ As resistors got smaller, printing legible numbers became technically difficult and expensive. Even worse, the heat and friction of the soldering process often rubbed those numbers right off. Colours provided a robust, 360-degree identification method that could survive the assembly line. 2. The Era of the "Body-End-Dot" 🔴 Before the modern band system, we had the "Body-End-Dot" scheme. The body colour was the first digit, the tip was the second, and a central dot was the multiplier. It worked... unless you soldered the resistor with the dot facing the circuit board! If the dot was hidden, you had no idea what the value was. 3. From RMA to EIA 📜 The system evolved through several name changes as the industry grew—from the RMA to the RTMA, RETMA, and finally the Electronic Industries Alliance (EIA). While surface-mount technology (SMT) dominates today, the core "ROY G. BIV" inspired colour sequence remains a foundational language for every electronics engineer. Whether you’re restoring a vintage radio or designing a new PCB, understanding the "why" behind these standards helps us appreciate the elegant solutions of the past. 📖 Read the full history and grab a handy colour chart here: electronics-notes.com/articles/elect… Do you still have the resistor colour code memorised, or do you reach for a multimeter (or a cheat sheet) every time? Let's discuss in the comments! 👇 #Electronics #Engineering #HistoryOfTech #ResistorColorCode #resistorcolourcode #VintageRadio #ElectricalEngineering #ElectronicsNotes #electroniccomponents
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Tech with Mak
Tech with Mak@techNmak·
For 38 years, computer scientists believed Dijkstra's algorithm was optimal for sparse graphs. The logic seemed airtight: Dijkstra sorts vertices by distance. Sorting has a lower bound of O(n log n). Therefore shortest paths can't be faster. 5 researchers proved the assumption wrong. The trick: combine Dijkstra's priority queue with Bellman-Ford's dynamic programming. Divide and conquer on vertex sets. Shrink the frontier. Result: O(m log^(2/3) n) First improvement for directed graphs since Fibonacci heap in 1987. Tsinghua. Stanford. Max Planck. 17 pages.
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The Linux Foundation
The Linux Foundation@linuxfoundation·
The Linux Foundation is proud to partner with Anthropic to reduce the security burden on open source software maintainers. Together, we are putting powerful AI cybersecurity capabilities directly into the hands of those who secure the infrastructure the world runs on.
Anthropic@AnthropicAI

Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software. It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans. anthropic.com/glasswing

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Swapna Kumar Panda
Swapna Kumar Panda@swapnakpanda·
Planning to learn AI & ML in 2026? You SHOULD subscribe to these 10 YouTube channels. 1. Andrej Karpathy youtube.com/andrejkarpathy 2. Sebastian Raschka @SebastianRaschka" target="_blank" rel="nofollow noopener">youtube.com/@SebastianRasc… 3. sentdex @sentdex" target="_blank" rel="nofollow noopener">youtube.com/@sentdex 4. StatQuest with Josh Starmer @statquest" target="_blank" rel="nofollow noopener">youtube.com/@statquest 5. Jeremy Howard @howardjeremyp" target="_blank" rel="nofollow noopener">youtube.com/@howardjeremyp 6. Krish Naik @krishnaik06" target="_blank" rel="nofollow noopener">youtube.com/@krishnaik06 7. CampusX @campusx-official" target="_blank" rel="nofollow noopener">youtube.com/@campusx-offic… 8. 3Blue1Brown @3blue1brown" target="_blank" rel="nofollow noopener">youtube.com/@3blue1brown 9. MIT OpenCourseWare @mitocw" target="_blank" rel="nofollow noopener">youtube.com/@mitocw 10. Stanford Online @stanfordonline" target="_blank" rel="nofollow noopener">youtube.com/@stanfordonline Add any other channels if you find them great.
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Pakistan Ke Kalesh
Pakistan Ke Kalesh@startnew347·
WTF !!! Kitni Bewakoof Awam hy.😂😂 Pakistani never Fail to entertain us.
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Erick
Erick@ErickSky·
🚨 ESTO ES UNA LOCURA ABSOLUTA Ahora le dices a Hermes Agent un concepto matemático cualquiera… y te genera una animación exacta estilo 3Blue1Brown en segundos. Esto democratiza el contenido educativo de nivel élite. El futuro de enseñar (y aprender) ya llegó.
Nous Research@NousResearch

Introducing the Manim skill for Hermes Agent. Manim is an engine for creating precise programmatic animations for mathematical and technical explainers, made famous by the @3blue1brown channel.

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