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Elon Musk often says that starting a company is like “staring into the abyss and eating glass.” His point is that entrepreneurship is far harder than most people expect. In Musk’s view, founders should only start a company if they are deeply passionate about solving a problem, as the challenges, setbacks, and uncertainty can be overwhelming. He advises entrepreneurs to focus relentlessly on creating a great product, seek honest feedback, and hire exceptional people. Rather than chasing trends or quick profits, Musk believes successful companies are built by solving real problems better than anyone else and persisting when others would quit.

Why the Overpopulation Narrative Endures Despite Physical Reality and Elon Musk’s Analysis Overpopulation is the most nihilistic lie ever told. The environmental movement started with a valid point: we need sustainable energy to avoid depleting finite fossil resources and messing with the atmosphere long-term. That core logic is sound that's why Tesla exists. But it got twisted into anti-human Malthusianism: viewing people as the virus, not the solution. Some now openly say eight billion humans make Earth better off with zero. That's insane. Look at the actual scale. All 8+ billion people on Earth could stand shoulder-to-shoulder on a single floor of New York City. Fly from LA to New York and 99.9% of the time you're not over a single person. Vast empty land everywhere. The cross-sectional area of humanity is tiny. Cities create a local illusion of crowding the planet is massively underpopulated. The real risk isn't too many people. It's collapsing birth rates. Fertility is falling below replacement across the developed world, now even in places like India. This is accelerating. Population collapse is the greatest threat to civilization by far worse than climate, AI, or anything else short of asteroids. We've seen it doom past empires. More humans = more brains solving energy, AI, robotics, and making life multiplanetary. We are the consciousness of the universe waking up, expanding from this single fragile planet against entropy. We need to become a spacefaring civilization, not manage decline. Humanity is not a plague. We are the bootstrap for something far greater. Stop the propaganda. Have kids. Build. Expand. Credit: @ZubyMusic I @elonmusk

Elon Musk: "You're programmed to die. And so if you change the program, you will live longer." The body’s cells all age in perfect sync, no one has an old left arm and a young right arm. That means the aging clock is obvious and programmable. Musk points out bowhead whales live 200 years and Greenland sharks over 500, proving extreme longevity is possible in nature. He believes solving human semi-mortality is not particularly hard it's either a hardware or software problem we’ll crack with tech in the next decade. Key advice: “The important thing is not to die from something stupid before the solutions come.” In retrospect, the fix will seem extremely obvious. What do you think are we on the verge of rewriting our lifespan code?

Sam Altman, CEO of OpenAI, poses a question to physicist David Deutsch about what it would actually take to believe an AI is thinking: The setup is a discussion of Einstein and general relativity which Altman calls one of the most beautiful things humanity has ever figured out, maybe even number one. But his point isn't about the physics. It's about the story. As Altman puts it: "Einstein had a story. We knew what he was working on." We knew the problems Einstein wrestled with, the questions he chose to chase, and the path he took to get there. That narrative is part of how we recognise genuine understanding. So @sama builds a hypothetical to test the line between imitation and real reasoning: "If in a few years GPT-8 figured out quantum gravity and could tell you its story of how it did it and the problems it was thinking about and why it decided to work on that, but it still just looked like a language model output but it really did solve it… would that be enough to convince you?" In other words: not just the right answer, but the reasoning, the choices, the why this problem. The same things we'd want from any human physicist. Deutsch's response is short: "I think it would. Yeah." And Altman accepts it as the bar: "I agree to that as the test." The real test for AI might not be whether it can pass as human, but whether it can produce something genuinely new: solving a problem that's eluded us for a century and account for how and why it got there. Output alone isn't enough. The story is what makes it convincing.

a trend i'm seeing across web3 is projects becoming more specialized. instead of trying to do everything, many teams are focusing on solving specific problems and building products around clear use cases. @XOOBNetwork is an example of this approach. rather than focusing only on visibility or short-term hype, it is working on growth infrastructure that can help communities, creators, and brands scale in a more organized and sustainable way. the idea is to create systems where engagement and growth can continue over time instead of relying on temporary attention. @sleepagotchi is taking a different path by focusing on wellness. what started as a gamified sleep experience is evolving into a broader platform that uses ai powered tools and health insights to help users build better daily habits and improve their overall well being. different markets, different goals, but both projects show how web3 is maturing. instead of chasing trends, they're continuing to build products with clear purposes and long term visions. Also keeping an eye on @quipnetwork & @3look

🚨 DIAMOND IS ABOUT TO REPLACE SILICON IN NEXT-GEN CHIPS. Scientists are now producing large single-crystal CVD diamond wafers that could revolutionize electronics. Diamond conducts heat 5× better than copper and over 10× better than silicon while also handling extreme voltages, high frequencies, and radiation. Why this matters: • Thermal Superpower: Diamond acts as its own heat sink, solving one of the biggest problems in high-power chips • Ultra Wide Bandgap: Handles massive voltage and extreme temperatures without breaking down • High Frequencies: Electrons move incredibly fast, perfect for 6G, radar, and advanced telecom • Radiation Hardness: Ideal for satellites, space tech, and nuclear applications The deeper implication is massive: We’re at the early stages of a materials revolution. As silicon hits its physical limits with heat and power, diamond one of the most extraordinary materials in nature could power the next era of AI chips, electric vehicles, and aerospace systems. What do you think will diamond semiconductors become mainstream in the 2030s? Follow for more frontier materials science and future technology.

Discover the first rigorous error analysis of the Deep Ritz Method for solving elliptic PDEs. This work establishes nonasymptotic H1 convergence rates for Dirichlet, Neumann, and Robin boundary conditions, with clear guidance on optimal network depth and width. Read now!