@thom.code: Run AI on Your PC | Fast 2B vs Deep 12B - Stop Hackers (Ollama + Gemma 4) Do you really need a massive, slow AI model, or is a fast, lightweight AI good enough to catch a cyber attack? 🛡️🤖 In this hands-on test from ./HackUsingAi, we run two local AI models head-to-head on our own PC using Ollama and Google Gemma 4 to see whether speed or deep thinking wins. We feed both a Small AI (Gemma 4 E2B) and a Large AI (Gemma 4 12B) the exact same "Impossible Travel" hacker login alert inside VS Code. Watch the 1-minute Small AI go up against the 7-minute Giant AI to see which one catches every hidden security clue. 🛠️ Commands & Tools Used: ollama.com/download (Download Ollama for Windows, Mac, or Linux) ollama pull gemma4:e2b (Download the fast 2B Small AI model) ollama pull gemma4:12b (Download the deep 12B Large AI model) ollama list (View all AI models installed on your PC) ollama run gemma4:e2b (Run the Small AI test) ollama run gemma4:12b (Run the Large AI test) /bye (Exit the local AI session) 📌 Video Chapters: 00:00 Small AI vs Giant AI Overview (Intro & Disclaimer) 00:35 How to Run Private AI Locally with Ollama (ollama.com/download) 01:20 Google Gemma Open AI vs Cloud Gemini Explained 01:53 Downloading Small 2B & Large 12B AI Models (ollama pull) 02:34 Testing the Small AI on a Real Hack Alert (ollama run gemma4:e2b) 03:53 Small AI Results: 1-Minute Speed vs Missed Clues 04:30 Testing the Giant 12B AI on the Same Alert (ollama run gemma4:12b) 05:03 Giant AI Results: 7-Minute Wait vs Deep Hacker Analysis 05:33 Final Verdict: Which AI Should You Choose? ⚠️ DISCLAIMER: Strictly for educational and defensive cybersecurity training in a controlled lab environment. Never target real users or systems without permission. Would you rather use the 1-minute Fast AI or wait 7 minutes for the Smart AI? Let us know in the comments! 👇 #SecAI #LocalAI #Ollama #Gemma4 #CyberSecurity
