NextMind @NextMindX

@itoxbt Swapping half your net worth for a failing bank’s bad loans, on the assumption you’d get most of it back — was that actually calculated risk, or did he just get lucky it worked out?

The Hedge Fund Told You Exactly How To Split The AI Trade. Nobody’s Listening. On June 10, 2026, a finance commentator posted a 73-second video. No flashy title. No screaming CAPS thumbnail text. Just a message he said came straight from one of the most successful hedge funds in the world. A whisper that short usually gets ignored. This one shouldn’t be. 1. The message wasn’t “buy” or “sell.” It was narrower than either. Translated into human: the fund didn’t say the AI trade is dead, and it didn’t say keep buying everything with “AI” in the ticker. It said something much less exciting and much more useful - be selective. Two words most retail investors skip past on their way to the next hot stock pick. The most important instructions are usually the ones too short to go viral on their own. 2. “Not every company riding the AI wave is built the same.” This is the actual line from the fund’s message, and it’s doing more work than it looks like. A wave lifts everything on the surface equally, for a while. It says nothing about which of those boats has a hole in it. The fund isn’t warning you away from AI. It’s warning you against treating “AI exposure” as a single trade instead of dozens of different bets with wildly different odds. Correlation during a rally hides the exact risk that shows up the moment the rally stops. 3. The line that actually matters: “the easy phase where everything went up together might be over.” Not “the AI trade is over.” The easy phase. The distinction is the entire post in one sentence. Early in any structural theme, a rising tide really does lift every stock tagged to it - good balance sheets and bad ones, real earnings and pure narrative, together. That phase has a shelf life. What comes after it is dispersion: some of those names keep compounding, and some of them give back everything the wave lent them. Translated into human: when everything is going up together, the market hasn’t started judging you yet. Selectivity is what judgment looks like once it arrives. 4. Replaces / doesn’t replace. This message replaces the lazy version of an AI thesis - “own the theme, ride it up.” It does not replace the actual work of separating the businesses with real AI-driven earnings from the ones simply wearing the label. The fund gave you the filter. It didn’t do the filtering for you. 5. Where this doesn’t apply. This isn’t a call to exit AI exposure, and it isn’t a prediction of when the easy phase ends - the fund didn’t give a date, and neither will this post. Treat it as a filter to apply going forward, not a signal to trade on today. Seventy-three seconds. One of the most-watched hedge funds in the world. The message is already sitting in your feed somewhere, buried between two videos that will be irrelevant by Friday. The moat used to be being early to the AI trade. Now it’s being right about which half of it you’re still in. Bookmark this.

@CzerAndrea @Vertigo_Politix Nuland was there publicly, along with EU and other Western diplomats, supporting protesters — that’s diplomatic engagement, not the CIA orchestrating a coup. The actual removal vote happened in Ukraine’s parliament, with 328 votes, including from Yanukovych’s own party.

@maximumpain333 Persistence in an unhealthy pattern simply makes the pattern older’ — that’s a much sharper way to say ‘time doesn’t fix anything on its own

@maximumpain333 The old pattern doesn’t vanish in fireworks, it just loses its authority’ — that’s a much more honest description of change than most self-help ever offers

@LxngevityLab Same drill for NBA players and regular people — is the actual training effect in the ball, or in eliminating half your vision on purpose?

@MetaMorpehus What’s the actual first step in that protocol — is it a mindset shift or something you literally practice daily?

@TrueOnX Somebody convinced you that was life’ — nobody ever names who, and that’s exactly why it worked

@maximumpain333 If fear-based prep and hope-based prep can look identical from the outside, how do you actually tell which one you’re doing?

Everyone assumes science runs purely on proof. The man who founded quantum theory said the opposite was true at the entrance gate. “Anybody who has been seriously engaged in scientific work of any kind realizes that over the entrance to the gates of the temple of science are written the words: Ye must have faith. It is a quality which the scientist cannot dispense with.” — Max Planck Translated into human: before a single experiment confirms anything, the scientist has to believe the universe is even worth investigating in an orderly way. Nobody proves that first. They just act as if it’s true, then go looking for the evidence. Michael Burry read mortgage-bond prospectuses line by line in 2005, years before a single default confirmed his thesis. No model had priced the collapse yet. No data supported him. He bet $1.3 billion of his fund’s capital against the entire housing market anyway - and walked away with roughly $100 million personally when the position finally paid off in 2008. The data didn’t create the conviction. The conviction is what sent him looking for the data in the first place. The difference between a scientist and a gambler was never the faith. It was what happened after - whether they went looking for proof that could kill the idea, or only for proof that could confirm it.

Physics In History @PhysInHistory

4 weeks ago

Max Planck ✍️

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@himarkyi Somehow ‘too afraid to try’ and ‘gave up after 3 tries’ take up 90% of the chart, and everyone still thinks they’re the outlier at the bottom

@0xDominiqq Ability to speak ranked above the quality of your ideas — that’s the line that should actually sting for a room full of engineers

@0xKnzo The average of your futures is a future no version of you will ever live in’ — that’s a brutal way to describe every five-year plan built on one Excel line

@RuujSs 3.1x more validated hypotheses sounds great until you ask whether the agent learned to find real alpha, or just learned to game the Deflated Sharpe gate itself

@EthanXvip Called out crypto and private equity to a room full of people who make money off both, and nobody pushed back — that silence says more than the critique itself

WARREN BUFFETT PAID $1 BILLION FOR SOMETHING HE SAID COULD NOT BE TAKEN AWAY FOR ANY PRICE Fall of 1988. Coca-Cola stock had just fallen 25% after Black Monday. Everyone else was walking away from equities. One investor started quietly buying. His name is Warren Buffett. By spring 1989 he’d spent $1.02 billion, making Coca-Cola the largest single position Berkshire Hathaway had ever taken. Wall Street called it crazy. He’d just paid full price for a “boring” soda company while the rest of the market was on sale. Then he wrote the reason down, so there’d be no ambiguity about what he was actually buying: “If you gave me $100 billion and said, ‘Take away the soft drink leadership of Coca-Cola,’ I’d give it back to you and say it can’t be done.” That’s not a stock pick. That’s a bet that no amount of money on earth could recreate what already existed. $1.02 billion turned into a stake worth over $25 billion. Berkshire collects roughly $816 million a year in dividends alone, before the stock is worth a single dollar more. He never sold a share. Read the letter. Then ask what in your own portfolio you’d say the same thing about.

In 2008, an MIT professor opened lecture one by auctioning a sealed box to a room of twenty-two-year-olds who knew nothing about what was inside. No touching. No shaking. No hints. Bidding started at $1, closed at $45. He tore it open. An iPod Nano — retail $149. Twenty-two-year-olds had just priced an unknown object at roughly a third of its real worth, in ninety seconds, using nothing but each other’s bids. Translated into human: that’s not a party trick. That’s the entire discipline of finance, compressed into one box. Before the auction, three names go up on the board: James Simons — a math professor who built the most successful hedge fund in history. Warren Buffett — runs an empire with a tiny staff and literal high-school arithmetic. Jack Welch — an engineer who quadrupled GE’s revenue without touching a single equation from his own PhD. Three backgrounds with nothing in common. One language they all speak instinctively. Then the professor says the thing most $3,000 finance bootcamps imply and never actually prove: finance is two problems, not one. Valuing something. Deciding what to do once you know the value. Thirteen weeks of lecture is commentary on those two lines. There are no problem sets in this course. He hands you the entire exam question bank on day one and tells you straight: memorize the whole stack and you’ll pass — except by then you’ll have accidentally learned finance. The course is Andrew Lo’s 15.401, Finance Theory, MIT Sloan. Free. On YouTube. Since 2008. Thirteen weeks, still sitting on MIT OpenCourseWare, untouched by most people who bookmark it. Everyone bookmarks the lecture. Almost nobody bids on the box. It’s not a comfortable rewatch once you notice how many boxes you’ve already priced wrong. The moat used to be a $3,000 weekend. Now it’s whether you actually open the thirteen weeks you saved for later. Bookmark this.

Beaver @Beaver_0x

4 weeks ago

An MIT professor opened his first lecture by auctioning off a sealed box to twenty-two-year-olds who had zero information about what was inside. No touching it. No shaking it. No hints. Just a box. The bidding started at $1. It closed at $45. He ripped it open. An iPod Nano,

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@AnatoliKopadze Every task you hand off hands over machinery that used to be yours’ — that’s a much scarier sentence than ‘AI takes your job

@lorneseth I don’t know how to make 18 percent — coming from the guy who’s made billions, that’s a hell of an admission