Stanford just dropped a $100K AI course on YouTube for free 🤯

Stanford just dropped a $100,000 AI course on YouTube for free. It's almost 50 hours long and it will help you go from a beginner to an AI engineer. But you're probably not gonna watch all 50 hours. So here at the top 5 takeaways and if you stay to the end, I'll show you a secret hack where you can import the whole course into NotebookLM. Number 1 is something called the Pareto frontier theory. It says that there is no perfect model and that you instead should be using different models for different goals. Number 2, focus on AI systems, not AI models. Everyone is hyping up the latest Claude or Gemini, but what actually makes these models powerful are the tools, systems and agents that you connect these models into. Number 3, for complex tasks, make sure you use Chain of Thought reasoning or CoT. Most models have started to embed this directly and simply call it thinking mode. Number 4, don't tell an AI model what you want, instead give it a direct example like a screenshot or file. Number 5, if you've ever wondered why models lie and hallucinate, they don't actually know the answer. They're simply trying to use human language to predict what the next token or word in a sentence might actually be. Now if you want to take this course to the next level without all 50 hours, what you're going to do is take the YouTube URLs of all 25 videos and import them to NotebookLM and import them in. Now you can ask any question about AI, you can learn what the most experienced and talented people at Stanford are saying about it.