Nvidia CEO Jensen Huang: "AI will create more millionaires in 5 years than the internet did in 20." But he didn't stop there... He revealed exactly how it'll happen and how you can capitalize on it:

CapCut is about to launch a new Seedance 2.0 model. ⚡ Faster 💰 Cheaper 🎬 Comparable quality to Seedance 2.0 If that's true, are AI video models entering an era where speed and cost matter more than quality?

I accidentally discovered how to read a complete book in 30 minutes. A Harvard student showed me the workflow. Here's exactly what he does. He doesn't open a book and start reading from page one. He said that's the slowest, most inefficient way to absorb a book ever invented. You read linearly, your brain has no context for what matters, and by chapter four you've already forgotten chapter one. He does something different. He uploads the entire book into NotebookLM first. Then he runs one prompt before touching a single page. "What is the single central argument this book is making? What does the author believe that most people don't? And what are the 5 most important ideas I need to understand before everything else makes sense?" That prompt does something most people don't realize. It gives your brain a skeleton before the flesh goes on. You are no longer reading to discover what the book is about. You already know. Now every page you read is confirming, extending, or challenging something you already hold in your head. That is a completely different cognitive experience. The second prompt is the one that saves the most time. "Which chapters or sections contain the core ideas? Which ones are examples, case studies, or repetition of things already said?" Most nonfiction books are 60 to 70 percent padding. Not because the authors are dishonest. Because publishers want 250 pages, not 80. The actual argument usually lives in four or five chapters. The rest is illustration. NotebookLM tells him exactly which four chapters to read. He reads those. He skips the rest. He is not missing anything. He is cutting everything that was never the point. The third prompt is what separates this from summarizing. After reading the core chapters, he goes back and asks: "What questions does this book not answer? What would a hostile critic say is wrong with the central argument? Where does the evidence feel weakest?" This is the move that most people never make. They read. They absorb. They move on. They have opinions given to them by the author and they carry those opinions around as if they built them themselves. He stress-tests the book before he closes it. He knows where it holds and where it doesn't. That is not reading. That is thinking with the book as a sparring partner. The final prompt is the one I use every time now. "If I had to explain this book's core idea to a smart 14-year-old in three sentences, what would I say? And what is the single most actionable thing the author wants the reader to do differently after finishing?" That prompt forces compression. And compression forces understanding. You cannot compress what you do not actually understand. I read four books last month this way. I retained more from each one than I have from any book I read cover to cover in the last two years. The average person reads a 300-page book in six hours and forgets most of it within a week. He reads the same book in 30 minutes and can still argue its central thesis six months later. The book didn't change. The interface did. Most people are reading books the way they were designed to be sold. He reads them the way they were designed to be understood.

one thing i always look for in AI tools: does it solve a real problem or is it just a demo this one passes the test being able to fix a few words in a voiceover without starting over is genuinely useful. videos, podcasts, tutorials, course content, all of it no more scrapping a whole take because of one flubbed line great app, worth checking out