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A DEVELOPER STOOD UP AT A CONFERENCE AND APOLOGIZED TO THE ENTIRE INDUSTRY FOR ONE LINE OF CODE HE WROTE IN 1965. THAT SINGLE DECISION HAS SINCE CAUSED CRASHES, BREACHES AND ROUGHLY A BILLION DOLLARS OF DAMAGE AND YOU HIT IT EVERY SINGLE DAY 61 minutes from Tony Hoare... -- the man who invented quicksort, won the Turing Award, and passed away in early 2026, leaving this as one of his most honest talks. -> His confession: he added the null reference, letting any variable secretly mean "nothing", simply because it was easy to implement. That one shortcut became the null pointer, the undefined, the None -- the crash waiting inside almost every program ever written. He calls it his billion-dollar mistake, and he is not exaggerating. Whole classes of bugs and security holes trace straight back to it. And this is the deeper lesson under the AI rush: the easy shortcut you ship today becomes the landmine everyone steps on for the next 40 years. You thought null was just part of how code works. This is the talk where the man who made it tells you it never had to be. Bookmark & Watch this one. You'll never type null the same way ↓show more

slash1s

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278,746 次观看 • 25 天前 •via X (Twitter)

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IN 1999 MIT FILMED A MATH LECTURE THAT QUIETLY BECAME THE FOUNDATION OF EVERY AI MODEL YOU'VE EVER USED AND ALMOST NO ONE WAS TAUGHT TO SEE IT THAT WAY 39 minutes from Gilbert Strang, who taught this at MIT for over 60 years -- the linear algebra course an entire generation of engineers and data scientists grew up on. -> The shift it creates: you stop seeing matrices as boring grids of numbers and start seeing them as the language of space, data, and motion itself. School drilled you to crunch matrices by hand and never told you why. Strang shows you what they actually mean. Every neural net, every embedding, every model you prompt is linear algebra running underneath. The math you skipped is the engine of the thing you use all day. Memorizing the steps was never the skill -> seeing what the numbers do is. This is where it finally clicks. Most people fear linear algebra and move on. The ones who watched this see straight into how AI actually works. Bookmark & Watch it today, this one's a legend ↓

IN 1999 MIT FILMED A MATH LECTURE THAT QUIETLY BECAME THE FOUNDATION OF EVERY AI MODEL YOU'VE EVER USED AND ALMOST NO ONE WAS TAUGHT TO SEE IT THAT WAY 39 minutes from Gilbert Strang, who taught this at MIT for over 60 years -- the linear algebra course an entire generation of engineers and data scientists grew up on. -> The shift it creates: you stop seeing matrices as boring grids of numbers and start seeing them as the language of space, data, and motion itself. School drilled you to crunch matrices by hand and never told you why. Strang shows you what they actually mean. Every neural net, every embedding, every model you prompt is linear algebra running underneath. The math you skipped is the engine of the thing you use all day. Memorizing the steps was never the skill -> seeing what the numbers do is. This is where it finally clicks. Most people fear linear algebra and move on. The ones who watched this see straight into how AI actually works. Bookmark & Watch it today, this one's a legend ↓

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He broke the Bank of England, made $1 billion in a single day, ran a $12 billion fund for 30 years, and never had one losing year this is him sitting down with Bloomberg to explain why he just put most of his portfolio into one AI stock and why a guy who shorted entire currencies just put most of his portfolio into one AI stock bookmark & watch it today ↓

He broke the Bank of England, made $1 billion in a single day, ran a $12 billion fund for 30 years, and never had one losing year this is him sitting down with Bloomberg to explain why he just put most of his portfolio into one AI stock and why a guy who shorted entire currencies just put most of his portfolio into one AI stock bookmark & watch it today ↓

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IN 1986 MIT FILMED THE LECTURE WHERE CODE STOPPED BEING CODE AND BECAME DATA 43 minutes from Gerald Sussman, in the most legendary intro programming course ever recorded. -> The idea that lands: to a program, your code is just data it can read and rewrite. He builds a program that does real calculus -- not by crunching numbers, but by reading the math as a list and transforming it piece by piece. Then he shows the trick hiding under all of it: in this language, code and data are the same material. Forty years later that is exactly what an AI coding agent is -- a program that reads your code as data, rewrites it, and hands it back. Sussman drew the whole idea on a blackboard in 1986. Writing code was never the deepest skill -- understanding that code itself is data a program can manipulate is. This is where you learn it. Most people think AI writing code is brand new. The ones who watch this saw the blueprint 40 years ago. Bookmark & Watch it. This one's a legend ↓

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A PHYSICS PROFESSOR GAVE THE SAME LECTURE 1,742 TIMES TO WARN ABOUT ONE IDEA QUIETLY BREAKING THE HUMAN RACE. IT IS THE WORD EVERY AI LAB THROWS AROUND TODAY AND ALMOST NONE OF THEM ACTUALLY UNDERSTAND IT. 72 minutes from Albert Bartlett, a University of Colorado physicist, on the one piece of math he called humanity's greatest blind spot. -> The idea that lands: a small steady percentage is never small. 7% a year sounds calm, but it doubles in a decade, doubles again in the next, and quietly runs away from you. He shows it with bacteria in a bottle, with money, with whole cities -- the same curve that looks flat for ages and then explodes almost overnight. Everyone calls that curve "Exponential". He proves most people hear it as "Fast" when it actually means something far more violent. Right now every lab and every headline calls AI exponential. This is the talk that shows you what the word truly does -- so you see both the hype and the real danger the way the math demands. You thought it was a boring math word. It was the whole story the entire time. Save this one. You'll never hear "Exponential" the same way ↓

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A DEVELOPER WALKED ON STAGE DRESSED AS A 1973 ENGINEER AND "PREDICTED" THE FUTURE OF PROGRAMMING. THE TWIST: EVERYTHING HE DESCRIBED WAS ALREADY INVENTED 40 YEARS EARLIER AND WE STILL REFUSE TO USE IT. 32 minutes from Bret Victor, doing the most quietly savage talk on our entire industry. -> The idea that lands: we write code as step-by-step text instructions and call that "Just how programming is". He shows four better ways -- all discovered in the 60s and 70s, all abandoned. Manipulate the data directly instead of typing blind code. Tell the machine your goal instead of every tiny step. We saw all this, then walked away. Why? The moment you're sure you know what programming is, you stop seeing anything better. That certainty is the cage. And now AI is dragging us back to exactly what he begged for -- you describe the goal in plain words, the machine works out the how. The future he mourned is arriving anyway. You thought text files were just how code works. This is the talk that shows it was a choice, and maybe the wrong one. Watch this one. It'll ruin how you see your job ↓

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A NASA fellow claims the modern world runs on one equation. Your phone signal, wifi, satellites, this post reaching your screen. All of it obeys one line of math written in the 1860s, before the light bulb existed. His words. The man is Ali Alqaraghuli, a former NASA postdoctoral fellow who now runs two hardware companies. And the way he teaches it is what makes the video worth it. He does not derive the equation. He teaches you to read it. His claim is that school taught you to read math wrong, and one symbol proves it: what you were told is a plus sign is actually something else. Once you see it, the whole equation turns from notation into a sentence. Then he uses that sentence to walk you through how a signal actually gets from your phone to a satellite and back. One viewer called that section straight up magic. It is 4 minutes of it. The comments are the proof. A physics student wrote it explained what a semester with his professor could not. An electrical engineer admitted this is where the equations finally clicked. One person wrote: I cried and I do not even know why. His larger point: the wireless world is not magic and never was. It is one readable line, and reading it is a skill nobody bothered to teach you. One equation. Everything wireless. 14 minutes. It is in the video.

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When the market gets boring and quiet and everyone turns bearish, I like to come back to the story of how I fucked it all up. And I fucked it up a lot of ways, because crypto is genuinely hard. People think the cycles just repeat. They don't. Every one has a different texture, a different context, and it is so easy to get it wrong. I got in back in 2013. Wrote the first ever macro piece on Bitcoin, and bought at $200, straight into a peak right before it slammed down and I felt like an idiot. But I had a thesis. And the mistake was never the thesis. It was letting the noise talk me out of it... selling, trading around it, being clever, when the only thing that ever worked was holding. That is the whole lesson, and it is the one that matters most at times like this. Crypto is one of the only real secular trends that lets you build wealth against the debasement of your salary. And as the Exponential Age accelerates, it matters more, not less. So when the market gets depressing, I do the same thing every time. I go back to the thesis, and I accumulate. Zoom out.

When the market gets boring and quiet and everyone turns bearish, I like to come back to the story of how I fucked it all up. And I fucked it up a lot of ways, because crypto is genuinely hard. People think the cycles just repeat. They don't. Every one has a different texture, a different context, and it is so easy to get it wrong. I got in back in 2013. Wrote the first ever macro piece on Bitcoin, and bought at $200, straight into a peak right before it slammed down and I felt like an idiot. But I had a thesis. And the mistake was never the thesis. It was letting the noise talk me out of it... selling, trading around it, being clever, when the only thing that ever worked was holding. That is the whole lesson, and it is the one that matters most at times like this. Crypto is one of the only real secular trends that lets you build wealth against the debasement of your salary. And as the Exponential Age accelerates, it matters more, not less. So when the market gets depressing, I do the same thing every time. I go back to the thesis, and I accumulate. Zoom out.

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A DEVELOPER PROVED THAT MOST OF THE CLASSES YOU WRITE SHOULD NEVER HAVE BEEN CLASSES AT ALL 27 minutes from Jack Diederich, a Python core developer, on how much of your code is just a function wearing a costume. -> The moment it lands, the rule is brutal: if a class has two methods and one is __init__, you meant to write a function. Most people add structure to feel like real engineers. It just adds weight no one ever needed. Writing more code was never the skill -> writing less of it is. And when an AI agent happily generates ten classes for a job that needed three lines, the person who knows what to delete is the one who ships something clean. Anyone can add abstraction. Knowing when not to is the whole job. Bookmark it and Watch ↓

A DEVELOPER PROVED THAT MOST OF THE CLASSES YOU WRITE SHOULD NEVER HAVE BEEN CLASSES AT ALL 27 minutes from Jack Diederich, a Python core developer, on how much of your code is just a function wearing a costume. -> The moment it lands, the rule is brutal: if a class has two methods and one is init, you meant to write a function. Most people add structure to feel like real engineers. It just adds weight no one ever needed. Writing more code was never the skill -> writing less of it is. And when an AI agent happily generates ten classes for a job that needed three lines, the person who knows what to delete is the one who ships something clean. Anyone can add abstraction. Knowing when not to is the whole job. Bookmark it and Watch ↓

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One of the best pieces of UAP footage shows two orbs creating a crop circle in the late 1990s. This footage was never debunked. A local man claimed that he made it, and it reached national news, leading everyone to assume it was fake. The most ridiculous part is that they never showed how he created the footage, and the man looked like he had never touched a computer in his life, let alone created something like this in the 1990s. But the bar for people claiming that they have debunked it or created the footage is very low and almost never put to scrutiny.

One of the best pieces of UAP footage shows two orbs creating a crop circle in the late 1990s. This footage was never debunked. A local man claimed that he made it, and it reached national news, leading everyone to assume it was fake. The most ridiculous part is that they never showed how he created the footage, and the man looked like he had never touched a computer in his life, let alone created something like this in the 1990s. But the bar for people claiming that they have debunked it or created the footage is very low and almost never put to scrutiny.

Open Minded Approach

172,255 次观看 • 9 个月前

This man bought a lottery ticket on his way out of the grocery store, as he scratched it off he couldn’t believe his luck he just won $300. The ticket was a $30 ticket and he made all of his money back. He walked over to customer service who took the ticket and claimed he scanned it and put a post it on the ticket and put it in the drawer. He then tries to hand the man $5 as the prize and claims that’s what the ticket says he won. The man know you can’t win $5 on a $30 high prize ticket. He asks the man to scan it again and he refuses and claims $5 is what it shows. The man escalates it further and asks for a manager. The customer service rep finally scans it again and it showed $300 and the man finally gets his money he won. Do you really believe the ticket scanned as a $5 winner or was the customer service rep trying to finesse him out of his money?

This man bought a lottery ticket on his way out of the grocery store, as he scratched it off he couldn’t believe his luck he just won $300. The ticket was a $30 ticket and he made all of his money back. He walked over to customer service who took the ticket and claimed he scanned it and put a post it on the ticket and put it in the drawer. He then tries to hand the man $5 as the prize and claims that’s what the ticket says he won. The man know you can’t win $5 on a $30 high prize ticket. He asks the man to scan it again and he refuses and claims $5 is what it shows. The man escalates it further and asks for a manager. The customer service rep finally scans it again and it showed $300 and the man finally gets his money he won. Do you really believe the ticket scanned as a $5 winner or was the customer service rep trying to finesse him out of his money?

SonnyBoy🇺🇸

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ONE OF THE MINDS BEHIND JAVA GAVE A LECTURE WHERE HE BANNED HIMSELF FROM USING ANY BIG WORD UNTIL HE DEFINED IT FIRST AND IN DOING SO QUIETLY EXPLAINED HOW EVERY GREAT SYSTEM GETS BUILT A talk from Guy Steele -- co-author of the Java spec and a designer of Scheme -- where the form of the talk is the lesson. -> The moment you catch what he's doing, it rewires you. He starts with only the smallest words, then builds every larger idea live, in front of you, from the pieces he already gave you. The talk grows its own vocabulary as it goes. That's the whole secret of language and system design he's smuggling in: you don't ship something huge and finished. You ship a small core and the means to grow it. Miss that and you spend your career fighting your own tools. Memorizing a language was never the skill -> understanding how a good one is meant to grow is. And as AI starts generating the primitives you build on, knowing what makes a foundation extensible instead of brittle is the entire game. Twenty-five years on, language designers still point to this talk as the cleanest demonstration of the idea ever performed. Bookmark it & Watch how he builds the whole thing from nothing ↓

ONE OF THE MINDS BEHIND JAVA GAVE A LECTURE WHERE HE BANNED HIMSELF FROM USING ANY BIG WORD UNTIL HE DEFINED IT FIRST AND IN DOING SO QUIETLY EXPLAINED HOW EVERY GREAT SYSTEM GETS BUILT A talk from Guy Steele -- co-author of the Java spec and a designer of Scheme -- where the form of the talk is the lesson. -> The moment you catch what he's doing, it rewires you. He starts with only the smallest words, then builds every larger idea live, in front of you, from the pieces he already gave you. The talk grows its own vocabulary as it goes. That's the whole secret of language and system design he's smuggling in: you don't ship something huge and finished. You ship a small core and the means to grow it. Miss that and you spend your career fighting your own tools. Memorizing a language was never the skill -> understanding how a good one is meant to grow is. And as AI starts generating the primitives you build on, knowing what makes a foundation extensible instead of brittle is the entire game. Twenty-five years on, language designers still point to this talk as the cleanest demonstration of the idea ever performed. Bookmark it & Watch how he builds the whole thing from nothing ↓

slash1s

358,660 次观看 • 1 个月前

A reporter told Jensen Huang that his Uber driver wished he had just gone back to the farm instead of facing AI. Jensen flipped the entire fear in one move. The driver was genuinely scared. He looked at AI and saw the end of his work. Jensen did not argue with the fear. He pointed at where the man was sitting. That Uber job did not exist a generation ago. It only exists because of the last technology wave. Mobile. Cloud. The internet. The data centers running the routing and the matching in real time. The science behind a single Uber ride is enormous. None of it was possible before the revolution that came before this one. So the man driving for Uber, worried the next wave will erase him, is living inside a job the previous wave created. That is the whole reframe. The thing he is afraid of is the same kind of force that gave him the work in the first place. Then Jensen went further. The next wave creates new opportunity too. You cannot name it yet. Nobody could name Uber before the internet existed either. He has watched this happen his whole career. Personal computer. Internet. iPhone. Every time, people thought it would leave them behind. It changed everything. It left almost no one behind. The farm was not the safe choice. It was just the one he could already see. (Watch the full interview on YouTube at Associated Press)

A reporter told Jensen Huang that his Uber driver wished he had just gone back to the farm instead of facing AI. Jensen flipped the entire fear in one move. The driver was genuinely scared. He looked at AI and saw the end of his work. Jensen did not argue with the fear. He pointed at where the man was sitting. That Uber job did not exist a generation ago. It only exists because of the last technology wave. Mobile. Cloud. The internet. The data centers running the routing and the matching in real time. The science behind a single Uber ride is enormous. None of it was possible before the revolution that came before this one. So the man driving for Uber, worried the next wave will erase him, is living inside a job the previous wave created. That is the whole reframe. The thing he is afraid of is the same kind of force that gave him the work in the first place. Then Jensen went further. The next wave creates new opportunity too. You cannot name it yet. Nobody could name Uber before the internet existed either. He has watched this happen his whole career. Personal computer. Internet. iPhone. Every time, people thought it would leave them behind. It changed everything. It left almost no one behind. The farm was not the safe choice. It was just the one he could already see. (Watch the full interview on YouTube at Associated Press)

Ihtesham Ali

62,810 次观看 • 1 个月前

Beethoven could not hear the music he wrote. At the age of 28, he realized he was no longer able to listen to a flute being played in the distance, and he spent the rest of his life composing the most enduring music in Western history in almost complete silence... He had been a working musician since childhood. His ears were everything. In 1798, in the middle of a heated argument with a singer, he noticed for the first time that something was wrong. The sound was thinning at the edges. He could hear voices, but high frequencies were beginning to disappear. He told no one for years. By 1802, the truth was no longer deniable. On his doctor's advice he moved to Heiligenstadt, a quiet village outside Vienna, hoping the country air would help. It did not. There, alone and surrounded by farmland, he wrote a letter to his two brothers that he never sent. It was found among his papers after his death. We now call it the Heiligenstadt Testament, and it is one of the most devastating documents ever written by an artist about himself: "You men who think or say that I am malevolent, stubborn or misanthropic, how greatly do you wrong me. You do not know the cause of my seeming so... what a humiliation, when one stood beside me and heard a flute in the distance and I heard nothing, or someone heard the shepherd singing, and again I heard nothing." He wrote, in the same letter, that he had thought of ending his life. And then he wrote the line that explains everything that followed: "Only my art held me back. It seemed impossible to me to leave the world before I had produced everything I felt called upon to produce." He went back to Vienna. He went on composing. Over the next two decades his hearing continued to fade. Friends began writing their words down in small notebooks instead of speaking them aloud, and waiting while he read. Modern scholars call these the conversation books. Around four hundred of them survive. To compose, he developed his own methods. He bit one end of a wooden rod and pressed the other against the soundboard of his piano, letting the vibrations travel through his jaw to his inner ear. He had stumbled, through trial and error, onto the principle that modern science calls bone conduction. The cause of his deafness has never been settled. What we do know is this: he realized he was losing his hearing at twenty-eight, and he could have stopped. He wrote the letter, he held the thought of dying in his hand, and then he put down the pen and went back to work. Most of what he is remembered for was composed after that moment: The Fifth Symphony. The Seventh. The Ninth. The Missa Solemnis. The late quartets. All of it was made by a man who could no longer hear most of what he was writing. There are people who give the world what they receive, and there are people who give the world what they were never able to receive. The most enduring beauty in human history has almost always come from the second kind... -- -- -- If you enjoyed this, I write a weekly newsletter read by over 50,000 people who love rediscovering the beauty of the past. You can join us here: I write about beauty in all its forms. If you'd like to support my work, a paid subscription is what makes it possible.

Beethoven could not hear the music he wrote. At the age of 28, he realized he was no longer able to listen to a flute being played in the distance, and he spent the rest of his life composing the most enduring music in Western history in almost complete silence... He had been a working musician since childhood. His ears were everything. In 1798, in the middle of a heated argument with a singer, he noticed for the first time that something was wrong. The sound was thinning at the edges. He could hear voices, but high frequencies were beginning to disappear. He told no one for years. By 1802, the truth was no longer deniable. On his doctor's advice he moved to Heiligenstadt, a quiet village outside Vienna, hoping the country air would help. It did not. There, alone and surrounded by farmland, he wrote a letter to his two brothers that he never sent. It was found among his papers after his death. We now call it the Heiligenstadt Testament, and it is one of the most devastating documents ever written by an artist about himself: "You men who think or say that I am malevolent, stubborn or misanthropic, how greatly do you wrong me. You do not know the cause of my seeming so... what a humiliation, when one stood beside me and heard a flute in the distance and I heard nothing, or someone heard the shepherd singing, and again I heard nothing." He wrote, in the same letter, that he had thought of ending his life. And then he wrote the line that explains everything that followed: "Only my art held me back. It seemed impossible to me to leave the world before I had produced everything I felt called upon to produce." He went back to Vienna. He went on composing. Over the next two decades his hearing continued to fade. Friends began writing their words down in small notebooks instead of speaking them aloud, and waiting while he read. Modern scholars call these the conversation books. Around four hundred of them survive. To compose, he developed his own methods. He bit one end of a wooden rod and pressed the other against the soundboard of his piano, letting the vibrations travel through his jaw to his inner ear. He had stumbled, through trial and error, onto the principle that modern science calls bone conduction. The cause of his deafness has never been settled. What we do know is this: he realized he was losing his hearing at twenty-eight, and he could have stopped. He wrote the letter, he held the thought of dying in his hand, and then he put down the pen and went back to work. Most of what he is remembered for was composed after that moment: The Fifth Symphony. The Seventh. The Ninth. The Missa Solemnis. The late quartets. All of it was made by a man who could no longer hear most of what he was writing. There are people who give the world what they receive, and there are people who give the world what they were never able to receive. The most enduring beauty in human history has almost always come from the second kind... -- -- -- If you enjoyed this, I write a weekly newsletter read by over 50,000 people who love rediscovering the beauty of the past. You can join us here: I write about beauty in all its forms. If you'd like to support my work, a paid subscription is what makes it possible.

James Lucas

153,966 次观看 • 2 个月前

Paul Singer: "no one has ever predicted a financial crisis - do not look to even the greatest" - he made 13% a year for 47 years through every crash this is him not predicting - showing how he actually trades and the one rule behind every single trade it cost him parents' life savings, a Facebook deal from his own son-in-law, Yahoo, and Bitcoin - and still made him $73 billion "never lose money" - it doesn't mean he never gets it wrong - it means he never gets destroyed: small losses, quick exits, always hedged - that's how 47 years stay profitable "prediction costs extra" Bloomberg calls him "the most feared investor in the world" - this is the rarest footage of him explaining why bookmark & watch ↓

Paul Singer: "no one has ever predicted a financial crisis - do not look to even the greatest" - he made 13% a year for 47 years through every crash this is him not predicting - showing how he actually trades and the one rule behind every single trade it cost him parents' life savings, a Facebook deal from his own son-in-law, Yahoo, and Bitcoin - and still made him $73 billion "never lose money" - it doesn't mean he never gets it wrong - it means he never gets destroyed: small losses, quick exits, always hedged - that's how 47 years stay profitable "prediction costs extra" Bloomberg calls him "the most feared investor in the world" - this is the rarest footage of him explaining why bookmark & watch ↓

bodila

126,386 次观看 • 13 天前

Andrej Karpathy hasn't typed a line of code since December. Not because he retired. Not because he switched careers. Because his AI agents do it all now. The former head of Tesla Autopilot, the person who literally wrote the textbook on deep learning, says his workflow flipped from 80% writing code himself to 80% delegating to agents. And he says the ratio has gotten worse since then, not better. He described it as being in "perpetual AI psychosis," spending 16 hours a day not coding, but expressing his will to agents. Manifesting, as he put it. The most unsettling part isn't that he stopped coding. It's that he didn't notice the exact moment it happened. There was no dramatic transition. No announcement. One day he was writing functions, the next he was managing a fleet of autonomous systems that wrote functions for him. This is the person who built Tesla's self-driving AI. Who taught a generation of engineers neural networks through his Stanford lectures. And he's telling you the game changed six months ago. The question isn't whether AI will write most of our code. The question is what happens to the millions of developers whose entire identity was built around being the person who writes it.

Andrej Karpathy hasn't typed a line of code since December. Not because he retired. Not because he switched careers. Because his AI agents do it all now. The former head of Tesla Autopilot, the person who literally wrote the textbook on deep learning, says his workflow flipped from 80% writing code himself to 80% delegating to agents. And he says the ratio has gotten worse since then, not better. He described it as being in "perpetual AI psychosis," spending 16 hours a day not coding, but expressing his will to agents. Manifesting, as he put it. The most unsettling part isn't that he stopped coding. It's that he didn't notice the exact moment it happened. There was no dramatic transition. No announcement. One day he was writing functions, the next he was managing a fleet of autonomous systems that wrote functions for him. This is the person who built Tesla's self-driving AI. Who taught a generation of engineers neural networks through his Stanford lectures. And he's telling you the game changed six months ago. The question isn't whether AI will write most of our code. The question is what happens to the millions of developers whose entire identity was built around being the person who writes it.

Shruti

11,067 次观看 • 1 个月前

Gavin Baker, CIO of the $6.5 billion fund Atreides Management, revealed at Sohn 2026 how he makes money on tech and AI the man who previously managed $17 billion at Fidelity and posted one of the best returns in the industry in the interview he explains why the AI cycle is only just beginning, which chip is the most underrated right now, and why the shortage of power and chips is actually a plus for investors bookmark it if you follow tech and AI, real insights here from a man who manages billions ↓

Gavin Baker, CIO of the $6.5 billion fund Atreides Management, revealed at Sohn 2026 how he makes money on tech and AI the man who previously managed $17 billion at Fidelity and posted one of the best returns in the industry in the interview he explains why the AI cycle is only just beginning, which chip is the most underrated right now, and why the shortage of power and chips is actually a plus for investors bookmark it if you follow tech and AI, real insights here from a man who manages billions ↓

Damir Akaza

728,763 次观看 • 1 个月前

IN A 1997 KEYNOTE A DEVELOPER TOLD A ROOM FULL OF PROGRAMMERS THAT THE COMPUTER REVOLUTION HAD NOT ACTUALLY HAPPENED YET. THEN HE PLAYED A CLIP OF WINDOWS, ICONS AND LIVE EDITING RUNNING ON A MACHINE FROM 1973 AND THE ROOM WENT QUIET. 62 minutes from Alan Kay -- the man who invented the word "object-oriented" and helped build the first modern personal computer at Xerox PARC. -> The idea that lands: almost everything you call "computing" is just paper, digitized. Documents, mail, folders. We took the most powerful medium ever made and used it to imitate the office. The real machine -- the one that thinks with you, that you shape live instead of typing at -- was sketched in the 60s and 70s, then quietly abandoned. He calls modern software an Egyptian pyramid: millions of bricks stacked by brute force, no structure underneath. And now AI is quietly hauling us back toward what he wanted -- you describe intent, the machine builds the how. Not a revolution from nowhere. A return to a dream we walked away from. You thought this was the future. This is the talk that shows you it is a detour we have been on for 40 years. Save this. It reframes the whole industry ↓

IN A 1997 KEYNOTE A DEVELOPER TOLD A ROOM FULL OF PROGRAMMERS THAT THE COMPUTER REVOLUTION HAD NOT ACTUALLY HAPPENED YET. THEN HE PLAYED A CLIP OF WINDOWS, ICONS AND LIVE EDITING RUNNING ON A MACHINE FROM 1973 AND THE ROOM WENT QUIET. 62 minutes from Alan Kay -- the man who invented the word "object-oriented" and helped build the first modern personal computer at Xerox PARC. -> The idea that lands: almost everything you call "computing" is just paper, digitized. Documents, mail, folders. We took the most powerful medium ever made and used it to imitate the office. The real machine -- the one that thinks with you, that you shape live instead of typing at -- was sketched in the 60s and 70s, then quietly abandoned. He calls modern software an Egyptian pyramid: millions of bricks stacked by brute force, no structure underneath. And now AI is quietly hauling us back toward what he wanted -- you describe intent, the machine builds the how. Not a revolution from nowhere. A return to a dream we walked away from. You thought this was the future. This is the talk that shows you it is a detour we have been on for 40 years. Save this. It reframes the whole industry ↓

slash1s

293,486 次观看 • 28 天前

A NASA fellow claims 5 equations explain 99 percent of the physics that actually runs your world. Understand them deeply and you are set for life. His words. And the way he does it is what makes the video worth it. He does not teach the five as a list. He tells them as one story, where each equation is born from the one before it. F equals ma leads into gravity. Gravity rhymes with the law of electric charge, the exact same shape. That connects to magnetism. Magnetism folds into the wave. And the wave quietly opens the door to relativity and quantum physics. By the end, all of physics feels like a single sentence written by one hand, not a pile of formulas you were forced to memorize. The move that stays with you comes first. He says F equals ma is written the wrong way around, and rewrites it. One tiny flip, and the most famous equation on Earth suddenly means something school never told you. His point for why this matters now: in the age of AI, the people who understand reality itself stay in demand. Everyone else is just memorizing. Five equations. One thread. It is in the video.

A NASA fellow claims 5 equations explain 99 percent of the physics that actually runs your world. Understand them deeply and you are set for life. His words. And the way he does it is what makes the video worth it. He does not teach the five as a list. He tells them as one story, where each equation is born from the one before it. F equals ma leads into gravity. Gravity rhymes with the law of electric charge, the exact same shape. That connects to magnetism. Magnetism folds into the wave. And the wave quietly opens the door to relativity and quantum physics. By the end, all of physics feels like a single sentence written by one hand, not a pile of formulas you were forced to memorize. The move that stays with you comes first. He says F equals ma is written the wrong way around, and rewrites it. One tiny flip, and the most famous equation on Earth suddenly means something school never told you. His point for why this matters now: in the age of AI, the people who understand reality itself stay in demand. Everyone else is just memorizing. Five equations. One thread. It is in the video.

ooaes

425,341 次观看 • 3 天前