The Wall Street Journal

Marc Andreessen on why Elon Musk is really a 19th-century industrialist doing 21st-century things. "The core of it is he's back to the future. He's doing the most leading-edge things in the world, but with a really deeply old-school approach. To find comparisons to Elon, you have to go to Henry Ford, Howard Hughes, Andrew Carnegie, Rockefeller, Vanderbilt, the hardcore business owner-operators who built industrialized society" "It's a level of hands-on commitment and depth in the business, coupled with an absolute priority toward truth, toward first principles, that is just unbelievably absolute" "He's only ever talking to engineers. He does not tolerate yes-men like anybody I've ever met. He wants ground truth on every single topic, and he runs his businesses directly, day to day, devoted to getting to ground truth on every single topic" The Finance Journal 📈

❗️OpenAI ex-researcher Daniel Kokotajlo warns AI can hack crypto wallets. Reporter: "Could we see AI hacking into bank accounts or crypto wallets?" Daniel: "They certainly have the capability to do that. AIs will be hacking them left and right." @aipost 🏴

🇫🇷 HUGE: Crypto holders in France face a new threat, as hackers leak 678,000 tax records amid surging wrench attacks. France has seen 30 violent crypto attacks worth $30 MILLION in 2026, with one family raided three times after moving into a crypto millionaire's old house. The stolen database, including 386 people reporting over €1 MILLION in income, is reportedly for sale on the dark web. @headlines

💰 Charlie Munger’s $200 million lesson Charlie Munger once revealed one of his most expensive mistakes and it had nothing to do with making a bad investment. It was not investing enough. When Munger was younger, he was offered 300 shares of Belridge Oil. He bought them. Three days later, the seller came back with an offer for 1,500 more shares. There was just one problem: Munger would have to sell something else to raise the money. He decided it wasn’t worth the inconvenience. That tiny decision eventually cost him an estimated $200 million. Warren Buffett says this is the kind of mistake that really matters. An error isn’t simply missing an opportunity. It’s recognizing something you understand, knowing the odds are in your favor and still barely acting on it. Buffett described the painful version as doing “an eyedropper’s worth” of something you could have done very big. The Finance Journal 📈

🗣Marc Andreessen on Mark Zuckerberg: "Zuckerberg does not get emotionally upset in stressful situations. He is able to maintain an analytical frame of mind even when other people would be bursting into tears and hiding under the table." The Finance Journal 📈

🗣Marc Andreessen describing AI. "We've turned sand into thought. And it's possibly the most revolutionary technology in the history of the species". Sand → silicon → chip → data center → power → AI → thought. @aipost 🏴

Think Like Milton Friedman, No. 1 Nothing the government provides is truly free. Whenever politicians promise “free” things, we should ask: Who is actually paying for them? Goods and services require resources to produce regardless of whether the person receiving them is charged directly. Government can change who pays the bill, but it can’t make the underlying cost disappear. That cost may take the form of taxes, inflation, borrowing, or resources diverted from other uses. What looks free to one person is ultimately being paid for by someone else. This is the logic behind Friedman’s famous phrase: “There’s no such thing as a free lunch.” The price may be hidden or shifted to someone else, but it does not disappear. The Finance Journal 📈

❗️Nvidia, $NVDA, is set to announce a $500 billion AI financing effort in partnership with Apollo, Blackstone, BlackRock, Goldman Sachs, KKR, and Brookfield, per CNBC. Details include: 1. The move comes as tech companies are increasingly looking to raise debt to finance AI projects 2. For Nvidia, the effort could help its biggest customers secure the financing needed to buy its GPUs, build data centers, and lock in long-term electricity capacity 3. The deal could be announced as soon as today, sources say The AI buildout is prompting a historic wave of debt issuance. @aipost 🏴

For hyper successful people it's always: Succeed or Die. From Elon Musk's biography: "I think that’s what the VCs saw. That he was willing to stake his existence on building out this platform. Musk actually said as much to one venture capitalist, informing him, ‘My mentality is that of a samurai. I would rather commit seppuku than fail.’” From Warren Buffet's biography: "One time, while Warren was slurping Mary Falk’s chicken noodle soup, he declared that he would be a millionaire by age thirty, and enigmatically added, 'and if I’m not, I’m going to jump off the tallest building in Omaha.'" From Bill Gate's memoir: "Driven by a sense of responsibility I felt for Microsoft, I had closed the hatch door and locked the wheel. No girlfriend, no hobbies. My social life centered around Paul, Ric, and the people we worked with. It was the one way we knew to stay ahead. And I expected similar dedication from the others." This level of maniacal intensity and focus is the rule for the greats. They are willing to stake their entire lives on what they are working on. If you plan on being one of the greats, this is the way. The Finance Journal 📈

How AI market share has changed since ChatGPT launched in Nov '22. @aipost 🏴

🗣Former Google CEO Eric Schmidt says a frontier AI model costs up to $500 million to build and is worth about six months: "Are the scaling laws stopping?" "And the answer right now is no, which is unbelievable." "A model costs $200 to $500 million, you release it, and it has a life expectancy of about six months." "And then there's another one." "And the competition between the leading players is so brutal, right, that they literally count in the number of weeks of value of these things, which costs hundreds of millions of dollars." Schmidt is talking about the build cost. There is a second cost underneath it, which is re-proving each replacement, because whatever testing cleared one version does not carry over to the next. A company that standardizes on a frontier model this year is signing up to do that re-approval work twice a year. @aipost 🏴

🇨🇳 China just built a virtual society with 1 BILLION AI people. Researchers built Light Society, a system where AI agents have personalities, memories, beliefs and human-like behavior. Instead of using one giant model for everyone, it combines powerful LLMs with smaller models to make the simulation efficient enough to run over 1 billion agents. They gave the agents real-world demographic data, then simulated things like trust, opinions and information spreading. And the results reportedly looked surprisingly similar to real human social behavior. Now imagine running a virtual population to test: 🗳️ Elections 📉 Market panic 🔥 Misinformation 🚨 Crisis reactions 🌐 Global trends We’re not at “predict the future” yet, but AI just took another step toward simulating society itself. 🤯 Source. @aipost 🏴

Milton Friedman explains why there’s no such thing as taxes on business or corporations: “The elementary fact is that ‘business’ does not and cannot pay taxes. Only people can pay taxes. Corporate officials may sign the check, but the money that they forward to Internal Revenue comes from the corporation’s employees, customers, or stockholders.” The Finance Journal 📈

ELON MUSK: "We're running out of test questions to ask AI. Everything has become trivial. The ultimate reasoning test for the AI is going to be reality. Can it create a car, or a rocket, or a new medication? Does it work? Reality is the ultimate judge." @aipost 🏴

Former OpenAI founder Naomi Bashkansky is now involved in developing technology aimed at converting human thoughts directly into text, sometimes referred to as “telepathy.” This process relies on significantly increasing computational resources. According to Bashkansky, the approach is to scale up data collection and computing power. The method is similar to advancements made in predicting text from speech or preceding text: providing more effective compute power leads to superior model performance, rather than relying solely on specialized algorithms. Recently, Bashkansky left OpenAI and became a founding researcher at Conduit. The new team is dedicated to creating models capable of non-invasively interpreting brain signals into readable text. Bashkansky has also outlined her vision for the future potential of this technology by 2035. 📰 @aipost

"Socialism is an aberrant soul disease. The combination of deep envy, fatal arrogance and ignorance in economic issues." - Javier Milei The Finance Journal 📈