"AI Agent." "RAG." "MCP." "MoE." "ASI." "LRM." We throw these terms around like they’re common knowledge. But do you really know what they mean? In this deep dive, I break down the *7 most critical AI terms of 2025* — not with corporate fluff, but with real-world clarity from 20+ years as an AI engineer and 5x founder. No hype. No hand-waving. Just truth. You’ll learn: 🔹 What an *AI Agent* really is — and why 99% of so-called agents aren’t autonomous 🔹 How *Retrieval-Augmented Generation (RAG)* actually works — and where it fails 🔹 Why *Vector Databases* are the unsung heroes of modern AI 🔹 The truth about *Large Reasoning Models* — and how they enable real agentic behavior 🔹 What *Model Context Protocol (MCP)* means for enterprise AI integration 🔹 How *Mixture of Experts (MoE)* makes massive models efficient — without breaking the bank 🔹 And whether *Artificial Superintelligence (ASI)* is science fiction or an inevitable future This isn’t a summary of someone else’s video. This is the *grounded, no-BS explanation* you need to stay ahead in the AI revolution. 🔔 Subscribe for more from *The Global AI Engineer* — where we cut through the hype and build with integrity. / the-global-ai-engineer-7349403537950281729 📬 **Check out My Profile**: https://marcelmasaga.carrd.co 📘 **Get My Books**: → 100 Nifty Ways To Make The Most Out Of ChatGPT-4 → S.W.A.T - Spiritual Warfare Attack & Tactics 👉 My Amazon Store: https://www.amazon.com/s?i=digital-te... 💼 *Need a Technical Co-Founder or Fractional CTO?* I help non-technical founders build AI MVPs that ship fast and scale. 👉 Schedule a call: https://marcelmasaga.carrd.co CHAPTERS 0:00 - Introduction: The Global AI Engineer's Mission is a platform dedicated to cutting through the hype and building wisdom in the age of artificial intelligence. 0:31 - The Truth About AI Agents: Beyond the Hype 1:01 - AI That Acts - Beyond Answering Questions (The 7 Key AI Terms Explained) 1:16 - What is Agentic AI? Autonomous Reasoning & Action 1:45 - The Agentic Loop - Perceive, Reason, Act, and Observe 2:15 - LLM ChatBot vs AI Agent 2:50 - Large Reasoning Models: The Brains Behind Agentic AI 3:47 - AI That Remembers - Grounding AI in Facts 4:29 - Vector Databases: Storing Semantic Meaning for AI 4:56 - Vector Search Flow - Raw Data, Embedding Model, Vector Database, Similarity Search 5:22 - RAG (Retrieval Augmented Generation): Enhancing LLM Prompts 5:46 - The RAG Flow: User Query, Retrieve, Augment & Generate 6:18 - AI That Scales - Powerful & Practical AI 6:55 - Mixture of Experts (MoE): Scaling Models Efficiently 7:23 - AI Native Protocols: MC 7:47 - What AI Can Connect To - External Databases, Code REPOs, Email Servers, Payment APIs 8:15 - AI That Transcends - The Future of Intelligence 8:32 - Artificial Superintelligence (ASI): The Theoretical Frontier 9:26 - Conclusion & Call to Action: "Think Deeper. Build Wiser. Lead with Courage" #AIagents #RAG #MCP #MoE #VectorDatabase #LargeReasoningModels #ASI #ArtificialSuperintelligence #GlobalAIEngineer #MarcelMasaga #AIexplained #AIterms2025 #AIdictionary #AIdebunked #AIengineering #AIforfounders #AITruth #ResponsibleAI #AIinAfrica #MachineLearning #LLMs #AgenticAI #NoHype