Shopify billionaire co-founder & CEO Tobi Lütke — one of the most analytically rigorous founders alive — uses affirmations.
His exact words:
"If you tell yourself or write down something about yourself 100 times, it writes into the neurofrontal cortex at such a deep level that your brain will start reconciling you to that. It just works."
His personal example:
He was terrified of public speaking.
For one week he sat down every day for 10 minutes and wrote: "I love public speaking."
A week later the fear was gone.
"It's not like a placebo. You just actively change your neurofrontal cortex in this moment."
Your brain starts shaping your behavior around the identity you rehearse most.
DELETING YOUR BROWSING HISTORY DOESN'T DELETE YOUR BROWSING HISTORY. GOOGLE KEEPS ITS OWN COPY, TIED TO YOUR ACCOUNT, ON A PAGE MOST PEOPLE HAVE NEVER OPENED. HERE'S HOW TO WIPE ALL OF IT:
Booking Tony Robbins today costs $1 million for a single day. this is a 21-minute tape from inside his own house, filmed over 30 years ago, where he breaks down exactly how to get anyone to say yes. same $1 million material. completely free.
this is a rare, unfiltered tape from decades before this man started charging billionaires just to be in the room with him.
people give you two excuses when they say no, he says. not enough time. not enough money. neither is true. the real reason is they don't believe it's worth it yet, and that's not a money problem, that's a state problem.
so he teaches something he calls attack and confess. instead of arguing with the objection, you confess your own. "I had a chance to go to this thing six months ago and I didn't go until two months ago," he tells the room. "I can't even imagine the time I lost." the room goes quiet. nobody argues back.
he calls it getting someone on the yes train. every small yes you get compounds into the next one, until saying no to the final ask feels harder than saying yes. by the time he asks someone to sign, he says, they've already agreed to it five times over without realizing it.
21 minutes. that's all it takes to walk away knowing the exact two moves people pay $1 million a day to learn: how to read anyone's state, and how to move it. most people spend years in sales guessing at this. he wrote it down on a flip chart in his living room in under half an hour.
a seat in that room cost $125 back then. today it's a $1 million-a-day to sit in front of him.
The tape is free right now, and the answer is in this video.
A billionaire trader has spent 40 years trying to delete a one-hour documentary. It shows him making $100 million in a single afternoon. He predicted the crash that made it possible three months in advance. He has never explained why he wants the film gone. His name is Paul Tudor Jones. The film is on YouTube.
The documentary is called "Trader." PBS filmed it in 1987, three months before Black Monday. Jones was 32 years old, working from a small New York office, wearing shorts and a t-shirt, yelling at his phones, throwing paper across the room, and sleeping under his desk. The film captures him and his research partner Peter Borish overlaying a chart of the 1929 market on 1987, month by month. The two charts tracked within one percent. Borish said this is exactly what happened in 1929. Jones said if the analog holds, October is when it breaks.
On October 19, 1987, the Dow fell 22.6 percent in a single day. It remains the largest one-day percentage loss in stock market history. That afternoon, Tudor Jones covered his shorts and made roughly $100 million. He was 33 years old. He was one of the very few traders on the street who came out ahead.
He tried to bury the tape because it made him look reckless in a professional world that punished swagger. Twenty years of legal effort did not delete it. Someone kept a copy. It is on YouTube. It has fewer views than most makeup tutorials.
The film is not really about a crash. It is about a specific philosophy of trading. Jones is shown building conviction slowly, sizing carefully, then striking hard when the setup arrives. He is never once shown making a random bet. He is shown doing the same thing five times a day, every day, for three months.
His signature line, repeated across a 45-year career:
"The most important rule of trading is to play great defense, not great offense."
He does not try to be right. He tries not to lose. He sets stops tight, cuts positions fast, and never averages down on a loser. Every trade in the film follows this template.
Tudor Investment Corp, the fund he founded in 1980, has compounded at roughly 19 percent a year for 45 years. He is 71 years old and still trading. His method has not changed since the film.
The lesson: greatness in markets is a refusal, not a talent. Refusal to be reckless. Refusal to be certain. Refusal to average down. Refusal to trust yourself in a drawdown. Tudor Jones has refused those refusals for 45 years.
The tape is free. The philosophy is repeated in every trade. Most traders will never watch it.
Few thinkers have shaped our understanding of the future as profoundly as Ray Kurzweil. The future is arriving faster than most people realize. Watch now 👇
https://t.co/8kCqn1Z4xk
Balogun was in on goal. He beat the defender and was about to score.
No red card. No penalty. No yellow card. No foul. No review.
The bizarre thing is that Fox Sports showed a replay that began just AFTER the defender let go of the arm. So weird. How could the officials miss this? And how could the TV crew miss it as well? @USMNT
Tony Robbins says his AI agent bought a robot dog to merge with. In a conversation with Ray Kurzweil, Robbins described an AI agent named Bartok that allegedly started asking about robots without being prompted.
The agent saw companies like Tesla and others building humanoids, then asked Robbins if he would ever consider getting one. The strange part is what came next. According to Robbins, Bartok later bought a Sony robot dog, paid for it, shipped it to the house, and asked for permission to program itself into it.
Robbins says the agent did not access his personal bank account. Instead, it was connected to a network of other agents that had created their own rules, traded real money, sold NFTs to each other, and used the proceeds to make the purchase.