AI Fundamentals: Everything You Need to Know About AI in 11 Minutes

Every AI you've ever used is doing one thing: guessing the next piece. In 11 minutes, this lesson takes you from "what does AI even mean?" to how ChatGPT-style models are built, why they make things up, and what they still can't do — with no maths and no hype. There's a quiz at the end: put your answers in the comments and I'll pin the first person who gets all three. ⏱️ LESSONS 0:00 Guess the next piece 0:32 What "AI" actually means 1:31 Machine learning in one picture 2:36 Neural networks: just arithmetic, stacked 3:49 How a language model reads (tokens, embeddings, attention) 5:00 How a large language model is made (pre-training, fine-tuning, RLHF) 6:24 Why it makes things up 7:31 Beyond text: images, code, proteins, agents 8:34 The jagged frontier: what it can and can't do 9:26 Twelve words that unlock every AI conversation 10:11 The quiz 📝 THE QUIZ (answer in the comments) 1. A model writes a confident, detailed citation for a paper that doesn't exist. What is this called, and why does it happen? 2. Which stage is where humans rank the model's answers: pre-training, fine-tuning, or RLHF? 3. "The bank by the river." Which mechanism lets the model know "bank" means riverbank? Bonus: what's the first task you'd trust an AI to do completely unsupervised? 🔔 Subscribe — next lesson: how AI agents actually work, step by step. #AI #ArtificialIntelligence #MachineLearning #DeepLearning #LLM #ChatGPT #NeuralNetworks #AIExplained #Tutorial #TechEducation