SITUATION EXPLAINED: What does real sovereignty mean in an AI-driven economy? We asked @UnderSecE Jacob Helberg, Under Secretary of State for Economic Affairs "A lot of these supranational organizations like the UN or certain politicians in Europe are trying to usurp the term digital sovereignty to mean we must rip out all American technology and rebuild the entire stack within our borders in order for us to be sovereign." "We think that would be a catastrophic mistake. What sovereignty really means is being successful as a country, being strong, and being a net contributor to the innovation ecosystem." "Being sovereign and, as the president would say, living in squalor is not any sovereignty to write home about. Being successful as a country, being a rapidly emerging economy, that is real sovereignty." "Instead of diverting billions of dollars in resources, thousands of people in engineering talent towards rebuilding the stack entirely in-house, that is fundamentally today's and yesterday's technology. It is such a better use of resources to empower your country's builders and compete for the future. Compete for the next platform, not yesterday's platform." "The stack is layers upon layers of different platforms superimposed on top of each other, and there's no ceiling to the stack. If you think about it, OpenAI is a mobile app and sits on top of an operating system, and it sits on top of a cell phone. It sits on top of so many different other platforms that came before it."

A Yale study tracked 3,635 people for 12 years and found that people who read books live 23 months longer than people who don't. Book readers were 20% less likely to die during the follow-up. The effect held even after researchers adjusted for income, education, health, and depression. Reading newspapers and magazines did not produce the same result. Only books did. The researchers said it was because books force the brain into deep reading and sustained focus that nothing else replicates. That is the part nobody on your timeline will tell you. The loudest voices on the internet right now are selling you the opposite. Stop reading. Watch this 90-second clip. Take this $497 course. Your brain is "too advanced" for books. Action over information. Chaos over thought. Now hold that next to what people who actually built something at scale say. Elon Musk was asked how he learned to build rockets. His answer was three words. "I read books." He was raised on Asimov's Foundation series, Heinlein, biographies of Franklin and Einstein, and the Encyclopedia Britannica which he finished at age nine. He has said books taught him more than any degree ever could. Warren Buffett spends 80% of his working day reading. He once held up a stack of paper in front of a class of students and said "Read 500 pages like this every day. That's how knowledge works. It builds up, like compound interest. All of you can do it, but I guarantee not many of you will do it." Charlie Munger said in his entire life he never met a wise person, across a broad subject area, who didn't read constantly. Not one. Naval Ravikant said it cleaner than anyone. "The foundation of learning is reading. I don't know a smart person who doesn't read, and reads all the time." He reads one to two hours a day. He says that single habit accounts for any material success he has ever had. 3 of the most consequential thinkers of this generation built their entire edge on the same boring habit. The AI era makes this more urgent, not less. Every week another tool launches that can summarize a book in 30 seconds. Every week another influencer tells you that summaries are "good enough." They are not. A summary gives you the conclusion without the thinking that built it. You walk away with the same headline as everyone else and zero original wiring underneath. The people building real things in AI right now are reading the source material. Everyone else is repeating compressed versions back to each other and calling it insight. If you are building in AI, the leverage is not in reading more AI threads. It is in reading the books the people building AI grew up reading. 5 books that have genuinely changed how I think this year. The Almanack of Naval Ravikant. The clearest writing on wealth, leverage, and judgment ever compressed into a single book. The free PDF is on his website. Deep Work by Cal Newport. The reason most people building in AI feel busy and produce nothing. He explains exactly why and exactly what to do about it. How to Take Smart Notes by Sönke Ahrens. The Zettelkasten method that turned a German bureaucrat into the most prolific sociologist of the 20th century, rewritten for modern knowledge workers. The Beginning of Infinity by David Deutsch. If you want to understand what knowledge actually is and why human progress has no ceiling, this is the only book on the subject that matters. Range by David Epstein. The case for generalists in a world that keeps telling you to pick a lane at twenty. The most useful book I have read for thinking about a career in a domain that rewrites itself every six months. Search any one of them tonight. Buy the cheapest copy you can find. Start the first chapter before you sleep. The smartest people alive spent their entire careers telling you the same boring thing. The loudest people on the internet spent the last year telling you to ignore them and bought another car. One of these groups is building the future. The other one is hoping you do not notice. If you are someone like me who loves reading, drop your favorite book in the comments. I will read every single one.