Macro Alpha

Leowang.net

Start here. Learn the fundamentals of macro-driven investing—market cycles, economic indicators, Fed policy, and how to turn macroeconomic data into actionable investment decisions. The building blocks for long-term U.S. stock market success.

  1. 8 JAN

    Why Elon Musk Believes You will Be Rich and Bored by 2030

    Forget everything you think you know about the next decade. Elon Musk isn't just making predictions; he’s laying out a brutal engineering roadmap for a new civilization. We’re talking about AGI—Artificial General Intelligence—arriving by 2026. Not decades away, but next year. By 2030, Musk believes AI will be smarter than all humans combined. But there’s a catch. We’re moving from a shortage of chips to a war for electrons. The US is currently losing the infrastructure race to China because we can’t pour concrete or string high-voltage lines fast enough to power the 'Gigawatt Clusters' these AI models need. Then there’s Optimus. Musk predicts these humanoid robots will be better surgeons than any human within five years. If a robot can do surgery, it can do anything. This leads to 'Universal High Income'—a world of radical abundance where the cost of goods collapses because labor becomes free. But it’s not all sunshine; Musk warns we might be 'bored out of our minds' or 'scared shitless' during the transition. From Tesla Roadsters that hover with rocket thrusters to Starships building Dyson swarms, the threads of energy, AI, and space are merging into one giant machine. The year 2026 is the fulcrum. The world is changing faster than our social contracts can keep up. Are you ready for the age of abundance, or are you worried about the Wall-E future? Want to know more? Watch the full video on my channel! #ElonMusk #AGI #Optimus #FutureTech #ArtificialIntelligence #Tesla #SpaceX #EnergyCrisis #看一看长视频

    20 min
  2. 7 JAN

    2026 Forecast: Why Goldman Sachs Is Betting on Blackouts, Blue Collars, and Uranium

    Yo, imagine it’s 2026. The news says the economy is fire, but your homie with a Master’s in CS has been couch-surfing for six months while your electrician friend just copped her second investment property. Welcome to the great inversion. We’ve spent decades thinking software would eat the world, but in 2026, the physical world is biting back. AI isn’t just code anymore; it’s a monster that eats electricity, and our 1970s power grid is straight-up failing. This is why Goldman Sachs is betting on 'dirty' assets like copper and uranium. The 'Email Jobs' are getting hollowed out by AI agents, creating a 'jobless expansion' where companies make bank but stop hiring. Meanwhile, if you can fix a high-voltage transformer or weld a pipe, you’re the new elite. We call it the 'Hands Premium.' Globalization is also dead—it's all about 'Trusted Blocs' now. Places like Monterrey, Mexico and Tamil Nadu, India are the new gold mines because they aren't China. Even finance is changing; banks are swapping slow wires for instant stablecoins and tokenized assets. The vibe for 2026? Stop looking at the cloud and start looking at the dirt. The virtual world is officially handcuffed to the physical one, and the physical world is charging a massive premium. Want to know more? Watch the full video on my channel! #2026Forecast #GoldmanSachs #Uranium #BlueCollar #AIRevolution #GlobalEconomy #看一看长视频

    14 min
  3. 1 JAN

    The 6.7 Secret to AIs Next Leap: DeepSeeks mHC Breakthrough

    Yo, what if I told you the way we’ve been building AI for the last decade is hitting a massive traffic jam? For ten years, the 'residual connection' has been the GOAT, the single-lane superhighway in every AI brain from GPT to Llama. But as models get huge, that one lane is buckling. Enter Hyper-Connections—the idea of adding multiple parallel lanes. Sounds great, right? Except it usually crashes the whole system. Training becomes a chaotic mess of 'NaN' errors and exploding gradients. It’s a total nightmare. But here’s where it gets wild. DeepSeek-AI just dropped a bombshell called Manifold-Constrained Hyper-Connections, or mHC. They figured out how to add those extra lanes and keep the system rock-solid. How? By using some high-level math involving something called the Birkhoff Polytope. Basically, they put mathematical guardrails on the highway so the information never grows or shrinks uncontrollably. It’s like a self-stabilizing bridge for data flow. And the engineering? Pure flex. They built their own language, TileLang, to fuse operations directly on the GPU chip. They managed to get this massive upgrade for just 6.7% extra training cost. We’re talking better reasoning, higher stability, and no more terrifying loss spikes. This isn't just a small tweak; it’s a fundamental shift from 'brute force' AI to 'precision design.' DeepSeek is proving that if you can tame the math, you can build smarter, more reliable models that actually scale. Want to know more? Watch the full video on my channel! #DeepSeek #ArtificialIntelligence #MachineLearning #AIArchitecture #DeepLearning #TechInnovation #看一看长视频

    23 min

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Start here. Learn the fundamentals of macro-driven investing—market cycles, economic indicators, Fed policy, and how to turn macroeconomic data into actionable investment decisions. The building blocks for long-term U.S. stock market success.