Husband, Father, Veteran. Multimedia Creator, Graphic Artist, Technical Writer and Illustrator, Web Developer, Musician. Creative soul. Ham radio WE3ACR
Here’s the full Tesla Roadster unveiling event.
0:15 – Crazy Tesla + SpaceX collab preview 2:25 – Last manually driven Tesla car 2:53 – Taking it way past the limits 3:15 – Countdown & first flight works 5:38 – Flying cars are real 5:41 – Peter Thiel flying cars quote 6:02 – Fan suction system (up to 2G) 6:16 – Downforce & crushing track records 7:08 – Starman appearance 7:52 – Rocket thrusters & full gymnastics 8:52 – Kickflip demo (Tony Hawk approved) 9:32 – Real road car + rocket car future 9:56 – Air tanks, nozzles & specs 10:14 – Rechargeable ultra-high pressure air 10:36 – Car reveal & aerospace design 12:50 – Fan modes 13:37 – Variable pitch rear wing 13:50 – 0-60 goal under 1 second 14:21 – Acceleration demo 16:22 – 0.81s 0-60 achieved 16:26 – Production car will be even quicker 17:05 – World’s quickest production car 17:28 – Top speed & Snake River Canyon teaser 18:26 – Mach 0.5+ goal 18:52 – First best flying car + last best driver’s car 19:04 – Production starts 2028
I tossed together an idea (with love). Please tell me that either @spacex or @nsf is working on merch like this with higher quality imagery than I could find. @elonmusk
A 40-year-old patent has finally been brought to life.
That's the Y-zipper.
A 3D-printed three-sided fastener that transitions any object from flexible to rigid and back again.
The robotics application is the one that caught my attention.
A quadruped robot that adjusts its leg stiffness depending on terrain, switching between rigid and flexible in real time without additional motors or complex mechanical systems.
But this goes way beyond robotics. A wrist cast that loosens during the day and stiffens at night. A tent that pops into shape in 90 seconds instead of six minutes.
The idea sat in a patent filing for four decades. It took 3D printing to finally make it real.
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@MarsUniversityX And you damned well better strike the concept of "overqualified" from your corporate culture. Otherwise, your company is aiming low and cannot be taken seriously.
Katherine Boyle just identified Elon Musk’s most important contribution to America, and it has nothing to do with the products he shipped.
Boyle, General Partner at a16z: “I think Elon’s most important contribution to this country is training two generations of engineers to work with their hands again.”
For ten years, America’s sharpest technical minds optimized ad clicks and built messaging apps. Software consumed ambition. The physical world became something you abstracted into APIs, not something you touched or understood.
Elon didn’t reverse that through inspiration. He reversed it by building companies that required understanding manufacturing or failing completely.
SpaceX and Tesla forced engineers to learn how metal fractures, how tolerances cascade through systems, how physical iteration costs months and millions per failure. No debugging. No patches. Just physics that doesn’t negotiate.
Boyle: “Training two generations of engineers.”
The product isn’t the cars. It’s the people. Look at who’s founding America’s critical hard-tech companies now. The common thread isn’t Stanford or MIT. It’s time on factory floors at SpaceX or Tesla.
They learned welding. They learned that “impossible” just means unsolved engineering, not violated physics. They learned failure in the physical domain where mistakes compound instead of reverting.
Elon didn’t build companies. He accidentally rebuilt industrial knowledge that had been decaying for thirty years while America’s best minds chased digital scale.
Boyle: “Work with their hands again.”
Three words that sound quaint but describe a civilizational inflection point.
Software dominated because it scaled infinitely at zero marginal cost. Physical manufacturing was slow, expensive, unfashionable. Building real things became what you did if you couldn’t code.
Elon made atoms matter again. Made manufacturing the hardest problem worth solving. Made physical engineering prestigious in ways it hadn’t been since humans walked on the moon.
The evidence is everywhere now. Technical talent that doesn’t default to “which app” but asks “which physical thing should exist that currently doesn’t.”
Ambition redirected from optimizing engagement metrics to building rockets. From scaling users to scaling factories. From virtual products to physical infrastructure.
That shift matters more than any vehicle or spacecraft Musk delivered. Products obsolesce. Redirecting an entire generation’s engineering ambition from digital to physical compounds across decades and rebuilds industrial capability at civilizational scale.
We stopped just coding the future. We started machining it, welding it, breaking it in reality until physics confirms it works. That transformation from virtual to tangible ambition is reconstructing American manufacturing one engineer at a time.
And those engineers are now training the next wave. The compounding has started. The School of Elon doesn’t need Elon anymore. It’s self-sustaining, spreading through an entire generation that learned building real things matters more than building virtual ones.
That’s not just a business achievement. That’s a civilization remembering how to make things that matter in the physical world again. And it might be the only thing that saves American technological leadership when the competition is just building faster because they never forgot.
Hands down, THE coolest fan-generated media I have ever seen, while at the same time, stunning evidence of just how powerful AI-assisted media tools can become, when unleashed by top-notch creative minds. Hats off to the entire team. Must-see! https://t.co/TfERudmvIL
This chart is misleading. According to Grok: "In reality, home prices did experience upward pressure in the postwar era, but this was offset by strong supply growth and rising incomes, keeping homes relatively affordable through the 1950s and 1960s.The perceived sharp rise in U.S. home prices around 1953, often visible in some long-term charts, is largely a data artifact stemming from a shift in how home price data was compiled and reported. Prior to 1953, many historical datasets (such as those used in composite indices like the Case-Shiller) relied on annual averages, which smoothed out fluctuations. Starting in January 1953, the data switched to monthly reporting, introducing more granularity and variability, especially when adjusted for inflation via the Consumer Price Index (CPI). This change can create the illusion of a sudden "jump" or increased volatility in the early 1950s, but it doesn't reflect a real economic cliff-edge https://t.co/aHu6PcrC73"
I'm trying to embrace Grok, but it has been a real struggle. Strings of wrong answers delivered with the highest bubbly confidence and assurances of accuracy, only to contradict or correct itself in the very next response. And in the process of trying to correct it, Grok throws a daily limit in your face. I wouldn't need all those questions if Grok returned trustworthy answers.
I understand it needs iteration to evolve. But when we burn through our daily quota trying to make Grok better, we shouldn't be penalized for providing the very help you are seeking. Grok should be smart enough to not count a response when that response is correcting a Grok answer. Huge miss. @elonmusk