@DamiDefi: A developer just mapped every AI concept powering Claude, ChatGPT, and every agent stack you are building on. 20 concep…

A developer just mapped every AI concept powering Claude, ChatGPT, and every agent stack you are building on. 20 concepts. Free. No jargon, no PhD. Worth more than every AI crash course you have seen at $300. You have been building on transformers and RAG without knowing how either one actually works. This 40-minute breakdown explains 20 AI concepts better than most $2,000 courses. Not theory for researchers. Practical mental models for engineers, founders, operators, and anyone building with AI. The biggest takeaway: Most people think prompting = AI expertise. It’s not. The real leverage comes from understanding the systems underneath: • Tokenization: how models break language into meaning units • Attention: how AI understands context instead of just words • RAG + Vector DBs: how companies give models memory and proprietary knowledge • MCP + Agents: how AI moves from answering questions to taking actions • Distillation + Quantization: why smaller, faster models are becoming the next wave The shift happening right now: 2023: “How do I use ChatGPT?” 2024: “How do I automate workflows?” 2025: “How do I build systems around models?” The gap won’t be between people who use AI and people who don’t. It’ll be between people who understand context engineering, reasoning, agents, and infrastructure… …and people still treating AI like a search bar. Learn the stack before the stack replaces your workflow.