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Summary: AI hallucinations aren't going away, and the reason might surprise you. In this one, I break down exactly what's happening under the hood when your chatbot confidently lies to you. Whether it’s making up a book, a statistic, or a legal citation, why it happens more with the smarter reasoning models, and why calling it a "bug" fundamentally misunderstands what these systems actually are.

More importantly, I give you a set of practical things you can do today to reduce the damage: which settings to turn on, when to use stronger models, how to prompt for accuracy instead of agreement, and a genuinely underrated use of NotebookLM.

—— Time Stamps ——

0:00 Intro: What Are AI Hallucinations?
0:32 When AI Hallucinations Go Public: Chicago Sun-Times & Deloitte
2:28 The Scary Stats: 92% Don't Fact-Check AI
4:05 The Two Types of Hallucinations You Need to Know
5:56 Why ChatGPT Isn't a Database (How LLMs Actually Work)
8:01 Andrej Karpathy: Hallucination Isn't a Bug, It's the Feature
12:18 Will AI Hallucinations Ever Be Fixed?
14:39 When Hallucinations Are Most Likely to Happen
18:17 Practical Fixes: Web Search, Paid Plans & Stronger Models
21:22 The NotebookLM Trick: Build Your Own Verified AI
22:17 Better Prompting: How to Stop AI From Lying to You
24:28 The New AI Paradigm (and Final Thoughts)

— Useful Resources ——

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