RT @NASA: After a successful launch, Crew-12 is en route to the @Space_Station, scheduled to arrive at about 3:15pm ET (2015 UTC) on Feb. 14.

Learn when and where to watch—with or without a Valentine: go.nasa.gov/4qz1Wig

Elon Musk

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Wow

These are wild statistics - Shaun Maguire

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RT @NASAAdmin: A great morning for human spaceflight.

Congratulations to the teams at NASA, SpaceX, and our international partners who worked tirelessly to launch Crew 12 safely on a journey to the International Space Station. If this is what is possible today, imagine what tomorrow will bring.

Elon Musk

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RT @BasilTheGreat: 🚨JOHN CLEESE SAYS BBC ARE "DISGRACEFUL" FOR IGNORING RAPE GANG INQUIRY

Couldn't agree with you more John

Defund the BBC 🚫

Elon Musk

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RT @SpaceX: Dragon has separated from Falcon 9’s second stage

Elon Musk

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RT @as400495: From @WSJ Editorial Board: "Such data would have shown the surge in what is alleged to be fake autism diagnoses and treatments in Minnesota that were billed by fly-by-night Medicaid providers."

Today the HHS DOGE team open sourced the largest Medicaid dataset in department history.

This dataset contains aggregated, provider-level claims data for a specific billing code over time.

For example, using this dataset, it would have been possible to easily detect the large-scale autism diagnosis fraud seen in Minnesota.

Download the data yourself:
opendata.hhs.gov - DOGE HHS

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Medicaid data has been open sourced, so the level of fraud is easy to identify. @DOGE is not a department, it’s a state of mind.

Today the HHS DOGE team open sourced the largest Medicaid dataset in department history.

This dataset contains aggregated, provider-level claims data for a specific billing code over time.

For example, using this dataset, it would have been possible to easily detect the large-scale autism diagnosis fraud seen in Minnesota.

Download the data yourself:
opendata.hhs.gov - DOGE HHS

Elon Musk

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RT @ProudofusUK: In 1707, two thousand sailors DROWNED.
Not because of a storm.

Because nobody could tell where they were at sea 🇬🇧

This was the longitude problem. The deadliest puzzle in science.

Parliament offered £20,000 to anyone who could solve it.

Nearly four million today.

Every great scientist in Europe tried. Newton. Halley. The finest minds alive.

All of them failed.

The man who solved it was a carpenter from Yorkshire.

His name was John Harrison.

No formal education. No university. No wealthy patron. He taught himself clockmaking.

Built timepieces out of wood.

His idea was “simple”. If you know the exact time at home and the exact time at sea, you can calculate exactly where you are.

The problem?

No clock could keep accurate time on a moving ship. Heat warps metal. Cold contracts it. The ocean never stops moving.

Harrison spent DECADES on it.

H1. Twenty years of work. Not good enough.

H2. Better. Still not enough.

H3. Seventeen years. Over 700 parts.

Still not enough.

Then he did something nobody expected. He stopped building clocks.

He built a watch.

H4. Thirteen centimetres across. The most important watch ever made.

They sent it across the Atlantic. Eighty-one days at sea.

When they arrived, it had lost five seconds.

Five seconds. In eighty-one days. The problem was solved.

But here's the uncomfortable part.

They didn't give him the prize.

The Board of Longitude was run by astronomers.

The very men who'd been trying to solve it their own way.

The Astronomer Royal was both judge and competitor.

They changed the rules. Demanded his designs. Refused to pay.

A working-class carpenter had beaten every astronomer in Europe. And the establishment couldn't accept it.

Harrison was nearly EIGHTY before he got justice.

He went directly to King George III.

The king tested the watch himself and told Harrison to petition Parliament with the king's full backing.

Parliament paid. Harrison died three years later.

After his death, every ship on earth carried a chronometer based on his design.

Every GPS satellite. Every ship's navigation. Every flight path. All of it traces back to a carpenter from Yorkshire who taught himself to build a watch.

His watches are still at the Royal Observatory in Greenwich. Still ticking.

Still perfect.

The establishment tried to bury him once.

We're not letting it happen again 👇 proudofus.co.uk/support

Be part of us.

Be proud of us. 🇬🇧

Elon Musk

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RT @cb_doge: BREAKING: Grokipedia traffic is surging worldwide. Website visits are now up 52.61% compared to last month.

Visits are rising sharply month over month, as per @Similarweb

Keep sharing Grokipedia links to defeat the Woke Wikipedia.

Elon Musk

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Starlink now at 10 million active users

Starlink is connecting more than 10M active customers with high-speed internet across 160 countries, territories and many other markets.

Thank you to all our customers around the world! 🛰️🌎❤️ → starlink.com/10M - Starlink

Elon Musk

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RT @niccruzpatane: While you were sleeping, SpaceX sent astronauts into space.

Elon Musk

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RT @AISafetyMemes: Read this whole paragraph, then imagine trying to explain to a normal person??

x.com/i/article/202228946816… - Dr. Alex Wissner-Gross

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RT @SpaceX: Falcon is the first orbital-class rocket capable of recovery and reuse. The first stage booster supporting this mission will complete the first landing at Landing Zone 40 at Cape Canaveral, our newest recovery site

Elon Musk

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Solar will utterly dominate future electricity production

Solar is now the dominant source of new U.S. power capacity and is on track to surpass coal in total installed capacity before the end of 2026.

70 GW of new solar capacity is scheduled to come online in 2026–2027 → a 49% increase in operating solar capacity from the end of 2025. - Katie Miller

Elon Musk

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Think in probabilities

Bayes’ theorem is probably the single most important thing any rational person can learn.

So many of our debates and disagreements that we shout about are because we don’t understand Bayes’ theorem or how human rationality often works.

Bayes’ theorem is named after the 18th-century Thomas Bayes, and essentially it’s a formula that asks: when you are presented with all of the evidence for something, how much should you believe it?

Bayes’ theorem teaches us that our beliefs are not fixed; they are probabilities. Our beliefs change as we weigh new evidence against our assumptions, or our priors. In other words, we all carry certain ideas about how the world works, and new evidence can challenge them.

For example, somebody might believe that smoking is safe, that stress causes mouth ulcers, or that human activity is unrelated to climate change. These are their priors, their starting points. They can be formed by our culture, our biases, or even incomplete information.

Now imagine a new study comes along that challenges one of your priors. A single study might not carry enough weight to overturn your existing beliefs. But as studies accumulate, eventually the scales may tip. At some point, your prior will become less and less plausible.

Bayes’ theorem argues that being rational is not about black and white. It’s not even about true or false. It’s about what is most reasonable based on the best available evidence. But for this to work, we need to be presented with as much high-quality data as possible. Without evidence—without belief-forming data—we are left only with our priors and biases. And those aren’t all that rational. - Math Files

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Join Rupert Lowe in Restore Britain, because he is the only one who will actually do it!

I am today launching Restore Britain as a national political party.

Join us.

restorebritain.org.uk/join_u… - Rupert Lowe MP

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RT @r0ck3t23: 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.

Elon Musk

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RT @cb_doge: Reid Hoffman is lying. He has not been cleared by the FBI and should be investigated.

- 1737 emails
- Confirmed visits to the Epstein Island
- Sent gifts to the island and “for the girls”
- Stayed at Epstein’s island, Epstein’s ranch in New Mexico and Epstein’s house in New York.
- Offered to help him with PR.
- Lying about his relationship with Epstein
- Maintained very close relationship with Epstein right up to the end.

• July 2015: Epstein texts Hoffman praising his diet progress. Hoffman replies he's making "slow progress" and is "planning to see him in August."

• April 2016: Dinner reservation at upscale Palo Alto sushi restaurant.

• April 29, 2016: Scheduled meeting at MIT.

• June 20, 2016: Skype call.

• June 25, 2016: "Phone date."

• July 24, 2016: In-person meeting in Bedford, NY.

• Sept 30, 2017: Hoffman emails Epstein after hurricane hits USVI: "You good?"

• March 24, 2018: One-on-one Skype call.

• March 16, 2019: Google notification suggests possible meeting that morning.

Elon Musk

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RT @chamath: x.com/i/article/202203119829…

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