Why AI Sounds Smart Even When It's Wrong

Even if you use AI every day, there's a high chance you don't actually understand what it's doing. In this video, I break down how AI really works, where it quietly fails, why your prompt matters more than you think, and the right mindset when working with AI. We’ll go through real examples and I’ll show you the actual mechanics behind tokenization, next-token prediction, hallucinations, and everything else you need to understand AI better. Timestamps: 0:00 - The Misleading Marketing of AI 0:41 - How AI Actually Works: Tokenisation & Token Prediction 2:41 - The Real Limit: Context Windows 3:18 - Why AI Lies: Knowledge Cutoffs & Hallucinations 4:48 - Real World Example: A Costly Mistake 6:30 - Your Prompt Shapes the Output 7:21 - Why AI is too friendly: Sycophancy 8:16 - Why English Prompts Perform Better 9:20 - The Right Mindset: Critical Thinking & Data Privacy 10:42 – AI Is Evolving Fast Watch my full prompting guide to get better answers out of AI:    • How to Prompt AI Like a Pro   Resources & Sources Mentioned: The AI Tokenizer Tool: Check how models break down words: https://platform.openai.com/tokenizer OpenAI Official Report: Read about the GPT-4o sycophancy update rollback: https://openai.com/index/sycophancy-i... The Coding Study: Why English prompts outperform other languages by up to 30%:   / why-we-recommend-english-for-ai-coding-the...   The Lawyer's $5,000 Mistake: https://www.theguardian.com/commentis... #ai #artificialintelligence #chatgpt #howaiworks #aiexplained