PhD Economist: "Bitcoin is a Coiled Spring Right Now" w/ @DrJStrategy & @1MarkMoss TIMESTAMPS: 0:00 – Episode Trailer 0:39 – Equities, Bonds, AI, & Bitcoin: Four Stories or One Regime Change 2:10 – Bessent, Warsh, Japan & Yield Curve Control 6:07 – Growing Out of Debt: GDP, AI Productivity & Compute 10:22 – Bitcoin Is A Coiled Spring Right Now 13:30 – Sponsor: Protect Your Bitcoin Inheritance with Unchained 14:49 – The Signal That Bitcoin's Turn Has Begun: 200-Day EMA 20:52 – 60-day review: YCC, Iran, Trump not toning down, midterm risk 25:14 - Sponsor: Turn Your Taxes Into Bitcoin with Blockware 26:14 - Why The Fed Is Too Tight, Iran & Strait of Hormuz Oil Shock 33:59 – Sponsor: Earn Bitcoin on Your Cash with River 34:42 – AI Trade Cycle: Nvidia, Laggards & Deleveraging 40:35 - MicroStrategy, Saylor & Digital Capital 46:32 – Sponsor: Take Control of Your Money with Rumble Wallet 47:41 - Portfolio Construction: When Cycles End & Owning The S&P 53:38 – Hardware vs Software, Banks, Charts & Patience 56:20 – Closing: Don’t Mess Up This 5–7 Year Window

Non-PhDs: “When I retire, I’ll finally do a PhD. Research sounds so fun.” PhDs: “If I hadn’t done a PhD, I could’ve joined one of those fancy AI labs before ChatGPT.” Everyone romanticizes the path they didn’t take.

A PhD student built a working nuclear fusion reactor in his garage, let an AI run it, and 400 thousand dollars later he works for Elon Musk. he posted it once. that single post ended with a grant in his account and a job offer from the most powerful man on earth. not a simulation. not a school project. an actual device that fuses atoms, sitting where his car used to be. fusion is the thing governments have been chasing for 70 years with billion dollar labs. the hard part was never the reactor itself. it was the control. the plasma inside has to be held at conditions hotter than the core of the sun, and it shifts and collapses in milliseconds. no human can react fast enough to keep it stable. so he stopped trying to do it himself. he handed the control loop to an AI. the model reads the sensor data hundreds of times a second, predicts how the plasma is about to move, and adjusts the magnetic fields before it ever drifts out of line. it does not wait for the plasma to misbehave. it sees it coming and corrects it before it happens. the same reaction-before-the-event speed no person could ever match. this is the exact kind of build people are tearing apart inside @NeuroClubAi. not to make reactors, but because the workflow is identical for anything hard. let the AI run the loop, predict the problem, fix it before it breaks. same playbook whether it is plasma or a business. then the post went out. within days Elon's fusion team reached out. they did not ask him to interview for an entry role. they handed him a 400 thousand dollar grant and pulled him onto the team building this at scale. one garage build turned a PhD student into an operator for the most ambitious man alive. here is the part that should stop you. he was one guy with a PhD, a garage, and an AI model doing the job that entire teams of physicists used to fail at. the AI was not assisting him. it was the operator. he built the hardware. the machine ran it. and that was enough to get noticed at the very top. most people think AI writes emails and makes pictures. meanwhile someone pointed it at one of the hardest physics problems on earth, held the plasma steady, and got paid by Elon Musk for it. the gap is not between humans and AI anymore. it is between the people who realize what this thing can already do and the people still using it to summarize their inbox.

A Yale CS PhD candidate has open-sourced the Python scripts behind figures in his top-conference papers. 10.3K stars, 715 forks. It's called Figures for Papers, created by Chen Liu, whose work has appeared in Nature Machine Intelligence, ICML, NeurIPS, and ECCV. That means you can learn from real publication-quality examples, including their color palettes, typography, legends, and layouts. It covers everything from bar charts and composition breakdowns to 3D spheres, radar plots, line charts, concept diagrams, and trend plots. License: CC BY-NC 4.0, not MIT.

UC San Diego PhD student told police that she had the urge to murder children after beating her friend's newborn baby to death. Nicole Virzi has pleaded guilty to murdering her friend's 6-week-old baby and injuring his twin brother. Virzi, 32, was babysitting her friend's baby boy in their Pittsburgh home while the parents took the twin to the hospital due to injuries to his genitals. It was later discovered that the injured twin had been harmed by Virzi. "So when I was alone with Leon, I shook him a couple times, hard. And I dropped him a couple times, hard," she admitted during a 13-hour interrogation. She said she flipped the baby upside down on the bathroom floor. "Something just came over me. I couldn’t control it. I’m telling you this because I can’t keep lying about it." "From a very, very young age, I don’t know what it is, but I always had this urge, almost like a compulsion I can’t control, to hurt kids," she told police. The baby suffered a skull fracture and later died. Virzi will spend 35 to 80 years behind bars. Horrific and evil.

From prison cells to PhDs, second chances need somewhere to begin. We’ve officially acquired our second transitional home—our very first dedicated to women and their children. Read the full story: #P2P# #SecondChances# #Reentry# #HousingIsHope#