Harold Edgerton fired a bullet at 2,800 feet per second and photographed it slicing a playing card in half.
The strobe light he used lasted less than one millionth of a second.
He built it in 1931 because he couldn't see how electric motors moved at high speeds. The solution: a light so fast it made rotation look frozen.
For the bullet shot, sound triggered the strobe. The gun fired. The noise hit a microphone. The light flashed. All before the card finished splitting.
The image came out sharp. A bullet, stopped mid-air, mid-cut, in a sliver of time no human eye could ever catch.
He didn't stop at bullets. A firecracker exploding, slowed 1,200 times. A drop of milk hitting a plate, slowed 2,200 times, blooming into a crown.
Then he flipped the technique. Time-lapse cameras compressed 2 weeks of a rotting orange into seconds.
One method stretched a millionth of a second into a full picture. The other crushed 2 weeks into a blink.
Same idea, both directions: change the clock, and you see what was always there.
Six degrees of separation isn't a myth - it's a consequence of how small-world networks are built. Your LinkedIn network has the same clustering coefficient as a power grid, a neural connectome, and the citation graph that Google's PageRank was trained on.
Erdős–Rényi random graphs look nothing like real networks. Real ones have hubs - nodes with thousands of connections while most have three. The same scale-free structure that makes the internet resilient to random failures makes it catastrophically vulnerable to targeted attacks on hubs.
18 minutes. Bookmark & watch today. The graph theory behind every social network, every GNN, and every recommendation algorithm.
Synchronicity was a concept introduced to the world by Carl Jung and describes meaningful coincidences where events happen simultaneously and seem connected.
Have you ever had a synchronistic moment?
This is the electric plane Elon dreamed of!
Anders Forslund of Heart Aerospace joins @Jason to show off their electric plane, which used up just $5 worth of power for a full 20-minute trip.
Could this change short-haul flights? What locations would these flights best be used at?
Elon just confirmed how long every working human has left before the robots take over.
"AI will probably increase the global economy by 20 to 30%. That's my rough estimate. Meaning, on the order of 20 to 30 trillion per year."
So that's a second United States economy appearing out of thin air, EVERY single year. And Elon's whole point is that the machines produce it, not the people.
He even gave us the exact date for the digital half:
"AI will be able to do anything digital, anything that does not require the shaping of atoms by hand, by the end of next year."
By the end of next year...
And on software specifically:
"It's going to be impossible for a human to compete in writing software with AI."
So every coder, every analyst, every job that lives on a screen is on a 12 to 18 month timer, straight from the richest man alive.
But that's only the part that runs on electricity. And this is where it gets crazy...
"There will be at least a billion robots in 10 years, and each will produce at least five times the output of a human."
"The billion humanoid robots will be more productive than all humans combined."
A billion machines, out-working ALL 8 billion of us. And he put a deadline on it: 10 years.
And he even called that estimate small. So the version where robots out-produce the entire human race is the number he treats as safe. He said he'd bet serious money on it.
But how does a billion of anything get built that fast?
Robots building robots building robots.
It starts slow and then it goes vertical.
That’s how a few thousand becomes a billion.
Elon also explained his own formula for how useful a robot actually is. He said it's the quality of the AI software, times the quality of the AI chip, times the dexterity of the hands.
Software and chips are the exact things Elon and Nvidia have spent a decade making exponential.
The third one is the hand. And the hand is the thing robotics has been stuck on for 40 years.
A machine can crush the best human alive at chess and still can't pick a strange object off a messy table the way a toddler can. Grip, pressure, touch, knowing how hard to squeeze. That problem has barely moved while everything digital went vertical.
The thing he named as the hard part is the exact thing his whole 10 year number depends on. So it all comes down to one variable, and it's the slowest-moving one in the entire machine: The robot hand.
The brain is basically solved. The fingers have to catch up to it this decade, at planetary scale.
Now to be fair, this is also where the most money on Earth is pointed right now.
Tesla and a dozen others are throwing everything at exactly this problem.
Elon's software calls tend to land but his atoms calls tend to fail.
Because anything physical always takes longer than anything digital.
He's also made this exact robot call before with wildly different numbers, 10 billion of them by 2040 in one speech, five per human in another.
So here's the real question: Do you believe robot hands get solved inside 10 years?
Because that one bet is the core of Elon‘s prediction.
Everything else already came true.
Hunter S. Thompson refused to come to the studio.
The only way Conan could get him on the show was to meet him on a farm in upstate New York. To shoot guns. And drink hard liquor.
They set up a full bar in a field. A bartender in a tuxedo handed Hunter a shotgun he’d never fired. Then an M60. They blew apart stuffed animals and a Bill Buckner target while Conan tried to look like this was a normal interview.
Hunter howled. Conan looked like he might not make it home.
This is still the least talk-show interview ever done on a talk show.
Genius making Conan come to him, or just the most dangerous booking in late-night history?
Quantum mechanics can't explain how particles are created or destroyed - it only tracks how they evolve. Quantum field theory fixes this by saying every particle is just a ripple in a field that fills all of spacetime, including inside your body right now.
The same mathematical framework that describes beta decay and the Higgs boson is what quantum computers are trying to simulate - and classical GPUs can't do it because the fields are inherently quantum.
13 minutes. Bookmark & watch today. The most complete description of reality ever written.
Tony Robbins explains why most people never reach their potential and it has nothing to do with talent.
Robbins: “The Holy Grail between somebody taking action or not is one word: certainty.”
You can have enormous potential and still do almost nothing if you don’t believe your actions will produce the result you want.
Potential → belief → action → results.
Then the results reinforce the belief.
If you believe it won’t work, you take small action. Small action produces small results. Those results become “proof” that your original belief was correct.
Robbins: “You go, ‘See, I told you this was a waste of time. I told you this wouldn’t work.’”
Now the loop feeds itself.
Less belief. Less action. Worse results. Even less belief.
A self-fulfilling downward spiral.
But the same mechanism can run in reverse.
If you become certain that you will find a way, your perception of your own potential changes. That produces more action, which creates better results, which strengthens the belief.
Robbins: “If you get yourself in a state of certainty that this is going to work… then you have a lot more potential.”
This is why Robbins says certainty matters more than motivation.
Motivation can make you act once.
Certainty makes you keep acting when the evidence hasn’t arrived yet.
Roger Bannister is his example. For centuries, nobody had broken the four-minute mile. Then Bannister did it.
Within two years, 37 other people had also run a mile under four minutes.
The human potential hadn’t suddenly changed.
The belief about what was possible had.
That is the real danger of believing something is impossible.
You don’t just predict the outcome.
You change the amount of action you’re willing to take—and eventually produce the very result you expected.