"Students have started to talk to their peers, who graduated a year before, and they're like, 'Oh shit, they don't have jobs.'" @JoannaStern says that college students' opinions about AI have only gotten more negative over the last year. "If you talk to any young person either in or out of college, they are thinking about that. It is a very real thing."

"This idea that, 'Hey, we all need to reject AI' — you might actually have AI doing things in your life right now that are actually quite good." @JoannaStern spent a year using AI to do basically everything in her life. She turned it into a book called "I Am Not a Robot." One thing she realized during her AI year: people actively benefit from AI *right now*, but don't know it. "Geoffrey Hinton has been saying for years that radiologists are going to be replaced by AI. But that didn't happen." "It's actually an amazing change. It can spot cancers that humans can't. And it's out there. Women might be getting their mammograms read [by AI] right now, and they might not know that AI is doing that for them."

"Everyone was like, 'Oh my God, what's happening?'" The speed at which the jury arrived at a verdict in the OpenAI-Musk trial surprised even the judge and legal teams. The verdict came in as both sides were in the middle of presenting their case for remedies, says @MikeIsaac.

John does a deep dive into why every podcast has fake wood panels in the background now — a setup popularized by @hubermanlab — and shares a behind-the-scenes look at TBPN’s soundproofing in the Ultradome: "When you’re recording a podcast, you want good audio quality. You don’t want reverberation, you don’t want flat walls bouncing sound back, creating echo, distortion, and hollowness." "For a long time, people would put up that egg-crate style." "The problem is, it makes it look like you’re in a sound booth. Not very aesthetic." "So companies said, 'Let’s get the best of both worlds, something aesthetic but still sound-treating.'" "They launched wood slat walls, the spaces between the panels capture sound, act as a little deadening, and you can hide acoustic material behind them." "Andrew Huberman did it, it went mega viral, and everyone copied it." "He wound up painting his black." "Now, if you’re in the black paint industry, that’s where the money is, because everyone with fake wood panels is painting it black." From an April episode of the show.

Founders School is a new high school where tuition is $150k a year, but if students don't hit $1M in gross profit by graduation, they get their tuition back. @nateliason says AI will make this possible: "AI is the big thing that removes the bottleneck around why a 17-year-old can't build a million-dollar business." "You don't need to spend as long developing deep expertise in programming or software development because, certainly for a V1, you can prompt a lot of it." "You don't need to raise a ton of money for hiring, design, buildout, or any of these things. Because again, you can get an initial version going with AI." "So if you can just use AI to get started, and get your business going, you take out a lot of the capital requirements, a lot of the expertise build-up requirements, and it just shortens the timeline. It makes a lot more things possible for them."

.@Collision is bullish on two types of people: high-agency individuals and double majors. "There are two categories of people I would be super bullish on right now and I think will do incredibly well over the next 10-20 years. First, high-agency people. The people at Stripe who have been talking to customers and know exactly what we should do. It's the people who have that pep in their step and want to go make Stripe better. They are so much more empowered thanks to AI." "The second is double majors. I think if you understand software and understand finance, or if you understand software and understand marketing, you now can go massively improve the entire marketing funnel for your company. Now, one person can do what would have taken 20 people dredging through all these systems." "Charlie Munger talked about the importance of being multidisciplinary and multidisciplinary thinking. He thinks getting a functional understanding of many disciplines is not that hard. You can just go read the books now or you can talk to your AI about it. I think multidisciplinary thinkers are going to do incredibly well." From his appearance on the show last month.

.@cz_binance says that quantum computing may break existing crypto, and that BTC may need to fork to quantum-resistant cryptography. "Quantum may break the existing encryption mechanisms, but with quantum computing there will be new encryption algorithms." "There are already quantum proof encryption algorithms that quantum computers do not have an advantage to crack. So we just need to upgrade the protocol to use those encryption mechanisms." From his appearance on the show last month.

"I do not think a chatbot is the right interface for travel or e-commerce." - @bchesky "I think the future is not apps. The future is agents, but I don't think they're going to be text-forward. I think they're going to be really rich user interfaces." "Imagine using iMessage to do everything, when in fact every other app has a unique interface." "With e-commerce, you want a very rich user interface. It would be agentic. You can have a conversation with it, but the point is that it has to be more visual."

"Young people are never going to know what it's like to wake up at 3 in the afternoon and be like, 'I left my credit card at the bar.'" Momofuku founder @davidchang says people drinking less is "the real existential threat" to the restaurant industry. "The biggest thing that happened in LA over the past 10 years in food was ride sharing," which allowed people to spend more on alcohol, he continued. "Restaurants were a bubble...now, at least in LA, people are drinking much less." From his appearance on the show in November.

.@mcuban says humanoid robots won't last more than 5-10 years. Instead, we'll "design the house to fit the robot, and design the robot to fit the house." "You could create a house where the pantry, the refrigerator, and the washing machines were hidden behind the garage, if you even have a garage. That way you could redesign the house so that all the living space was for people." From his appearance on the show in March.

We have left-leaning and right-leaning AI labs. But who's building a southern-leaning lab? Call it country intelligence. Trained to focus on beers, trucks, getting your boots dirty. Dario invokes a country of geniuses in a data center. We want country geniuses in data centers.

Breaking Points' @esaagar says AI companies are "fighting against a very, very big force" in the US. "There's this rising populist tide against the data center movement. And against Abundance-style assurances from politicians and companies." "Something is happening. The tide has not only turned, but coming." "People just feel like this is out of their control. About AI especially. They're like, 'I want impact. I want a say.'" "There's an overwhelming animus, and people are angry. It's about a lack of control. 'You're coming to take my job, you're increasing my electricity prices, you're changing my nation. And I have to have a say as a citizen.'" "It's no longer just about electricity, it's about the whole picture." From his appearance on the show last month.

John tells the story of the early Uber vs. Lyft battles - back when rides were subsidized, every Lyft had a giant pink mustache on the car, and riders were asked to fist bump their drivers: People see Lyft and Uber as commodities now, but when Lyft launched, people were super blackpilled on Uber. Uber at the time was only black cars. They didn't allow anyone to just hop on the network. You had to be registered as a limo driver. You'd have an Escalade, and someone would book you as a driver for a wedding or event. Uber’s app just digitized those bookings. Then Lyft figured out how to allow people to just show up with a Prius or a Toyota Camry or whatever. During launch week in San Francisco, Lyft put a giant, whimsical pink mustache on the front of every car. You were encouraged to sit in the front seat because the driver was supposed to be your friend. They would ask you to fist bump the driver. It wasn't professionalized at all yet. It was very much a two-sided marketplace. You could make a lot of money as a driver. There was no margin compression yet. It was like free money everywhere for everyone. It was a capital war. Lyft raised a ton of money, came into the market with a disruptively cheap product, and wound up delivering a really fun experience. Then Uber fast-followed with UberX, and the rest of the game played out as a capital fight. From a March episode of the show.

Long Lake Co-Founder & CEO @alextaubman says AI is driving a convergence between services businesses and software companies. "What you typically see is even though these are really extraordinary businesses with incredible customer trust and decades or even centuries of operating history, the margin structures in these services businesses traditionally have been lower than software." "What we're seeing now is a convergence of services and software characteristics over time where if you can make your team 20%, 30%, or 40% more productive, then that allows you to deliver more customer value, more goods and services, and different products to customers, which has historically been more associated with software companies." "For example, Amex GBT is an over 111-year-old business, founded in 1915 to help American Express travelers customers get out of Europe during World War 1. They bought a business called Carlson Wagonlit Lee which is over 150 years-old. So in terms of managing tech transformations, Amex GBT literally was created around the time of the invention of the airline, so these businesses have already managed many of them."

SemiAnalysis President @fabknowledge on the Cerebras IPO: "There is a narrow path for them. I think they're going to be able to inference maybe 1 trillion parameters and very small context window sizes. Or smaller models at very fast speeds." "There's demand. Clearly, we're in a shortage, and ironically in a shortage, it's not the best company who wins — you can look at Nvidia's stock chart and that will tell you." "It's the second, third, and fourth-best companies where the demand overflows. And we're seeing all that today." "The reality is the market's big enough for a lot of demand, and Cerebras is in that space." "They've done a really good job, and it's a cool engineering problem. But we think it's kind of a solution looking for a problem. Because the world of LLMs blew up at a much faster scale than anyone would have ever thought." $CBRS