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Here is gingerBill spontaneously: - giving a lecture on async io vs sync io (that's more coherent and visually pleasing than most universities) - walking through 3 major OS asyncio apis - IMPLEMENTING asyncio for Odin - and another piece of lecture on coloring functions, that morphs into async/await...

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19,810 görüntüleme • 8 ay önce •via X (Twitter)

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Why did so many languages copy async/await from C#? Anders Hejlsberg(Anders Hejlsberg) - creator of TypeScript, C# & Turbo Pascal - on what they got right with the design: #1 - async/await was designed to solve a common problem in the event-loop model: "A lot of languages are built around cooperative multitasking in the sense that they have an event loop that sits and dispatches events. Then you handle the event and then you yield back to the event handler loop. And it all runs in a single thread cooperatively. The problem with that is if you then want to do some long running work: how do I stop in the middle of this piece of long running work and yield back to the event loop cooperatively? And then when my result is ready, I can come back and continue executing here." #2 - state machines are the solution, but hard to build: "Well, in order to do that in an inverted architecture like that, you have to build a state machine. State machines are notoriously hard for people to implement because you've got to move all of your state off of the stack into objects. And then you have this big case statement that envelopes your entire logic. It's a nightmare to figure out. But, the transformation from serially executing code into a state machine, its continuation-passing-style translation is actually one that you can do in a machine-based fashion." #3 - compilers are good at writing state machines: "You can have the compiler write the state machine if you introduce syntax that allows you to indicate where you want to yield. And that's what await is. Await is basically saying, I want to yield here, and I want to yield this promise, and then when the promise completes, I want you to come back here and continue executing. Then the compiler writes a state machine around it and it actually turns it into this big switch statement and moves all of the state that survives across the await into something that's heap allocated. So it can be brought back. And doing all of that work is something that compilers are great at. And so that was sort of the idea that we have this new style of programming where we're using promises or the equivalent of promises and the ability to yield and then we have callbacks. But trying to write your program in that style, that's also what JavaScript suffered from a lot. It's like all this callback style stuff. With Async and Await, you get the illusion that you're just writing normal sequential code and then the compiler does the painful transformation for you. That turns out to be really useful."
3:13

Why did so many languages copy async/await from C#? Anders Hejlsberg(Anders Hejlsberg) - creator of TypeScript, C# & Turbo Pascal - on what they got right with the design: #1 - async/await was designed to solve a common problem in the event-loop model: "A lot of languages are built around cooperative multitasking in the sense that they have an event loop that sits and dispatches events. Then you handle the event and then you yield back to the event handler loop. And it all runs in a single thread cooperatively. The problem with that is if you then want to do some long running work: how do I stop in the middle of this piece of long running work and yield back to the event loop cooperatively? And then when my result is ready, I can come back and continue executing here." #2 - state machines are the solution, but hard to build: "Well, in order to do that in an inverted architecture like that, you have to build a state machine. State machines are notoriously hard for people to implement because you've got to move all of your state off of the stack into objects. And then you have this big case statement that envelopes your entire logic. It's a nightmare to figure out. But, the transformation from serially executing code into a state machine, its continuation-passing-style translation is actually one that you can do in a machine-based fashion." #3 - compilers are good at writing state machines: "You can have the compiler write the state machine if you introduce syntax that allows you to indicate where you want to yield. And that's what await is. Await is basically saying, I want to yield here, and I want to yield this promise, and then when the promise completes, I want you to come back here and continue executing. Then the compiler writes a state machine around it and it actually turns it into this big switch statement and moves all of the state that survives across the await into something that's heap allocated. So it can be brought back. And doing all of that work is something that compilers are great at. And so that was sort of the idea that we have this new style of programming where we're using promises or the equivalent of promises and the ability to yield and then we have callbacks. But trying to write your program in that style, that's also what JavaScript suffered from a lot. It's like all this callback style stuff. With Async and Await, you get the illusion that you're just writing normal sequential code and then the compiler does the painful transformation for you. That turns out to be really useful."

The Pragmatic Engineer

13,258 görüntüleme • 3 ay önce

Jim Simons made 66% a year for thirty years. Nobody has come close. Not Buffett. Not Soros. Not Druckenmiller. Every quant fund since has tried to reverse-engineer what Renaissance actually does. They keep landing on the same wrong answer: "More data. More compute. More simulations." Last November, a mathematician from Stanford gave a lecture that explains why they'll never catch up. His name is Persi Diaconis. He's the world's authority on when a simulation is telling you the truth and when it's telling you a story. His conclusion after forty years of research: most of the simulations Wall Street runs today are giving persistently wrong results, and no amount of GPU will fix it. The answer isn't more compute. The answer is proof. Simons required a proof before deploying a strategy. That's the part nobody copied. That's the part they can't. Lecture below. Under an hour. The most important hour you'll spend on markets this year.
1:00:30

Jim Simons made 66% a year for thirty years. Nobody has come close. Not Buffett. Not Soros. Not Druckenmiller. Every quant fund since has tried to reverse-engineer what Renaissance actually does. They keep landing on the same wrong answer: "More data. More compute. More simulations." Last November, a mathematician from Stanford gave a lecture that explains why they'll never catch up. His name is Persi Diaconis. He's the world's authority on when a simulation is telling you the truth and when it's telling you a story. His conclusion after forty years of research: most of the simulations Wall Street runs today are giving persistently wrong results, and no amount of GPU will fix it. The answer isn't more compute. The answer is proof. Simons required a proof before deploying a strategy. That's the part nobody copied. That's the part they can't. Lecture below. Under an hour. The most important hour you'll spend on markets this year.

kairos

93,367 görüntüleme • 2 ay önce

What does a golden rope in a dying man's dream have to do with the person in your life you can no longer reach? In this lecture, Jordan Peterson sets out after three questions that turn out to be the same question, what is a man, what is a woman, and what is the highest thing a person can aim at, and pursues them through the strangest doorway imaginable: the despair of the most successful author who ever lived, who had everything a human being could want and still could not find a reason to stay alive. From Tolstoy's vision of something infinite suspended above the abyss, to a treacherous brother who remade himself into the founder of a nation, Peterson builds toward a practical answer with startling reach. And in the most moving moment of the night, his wife Tammy steps on stage to tell the true story of how she won back a sister she was losing, using nothing more than the one thing almost no one is willing to do. What begins as a lecture on identity ends as an instruction manual for getting back the people you thought were gone for good. This lecture was filmed in San Antonio, Texas, on December 12, 2024.
1:44:24

What does a golden rope in a dying man's dream have to do with the person in your life you can no longer reach? In this lecture, Jordan Peterson sets out after three questions that turn out to be the same question, what is a man, what is a woman, and what is the highest thing a person can aim at, and pursues them through the strangest doorway imaginable: the despair of the most successful author who ever lived, who had everything a human being could want and still could not find a reason to stay alive. From Tolstoy's vision of something infinite suspended above the abyss, to a treacherous brother who remade himself into the founder of a nation, Peterson builds toward a practical answer with startling reach. And in the most moving moment of the night, his wife Tammy steps on stage to tell the true story of how she won back a sister she was losing, using nothing more than the one thing almost no one is willing to do. What begins as a lecture on identity ends as an instruction manual for getting back the people you thought were gone for good. This lecture was filmed in San Antonio, Texas, on December 12, 2024.

Dr Jordan B Peterson

205,324 görüntüleme • 8 gün önce

Introducing, Team1 India What started as a group of 4 is now a network of 40 active contributors driving blockchain adoption and growth for Avalanche in India. • 100+ events across 30+ cities and 20+ universities • 4,000+ attendees • 3,500+ developer applications for our 7-city hackathon tour The mission is straightforward: We are building the network that ensures India remains one of the global leaders when it comes to blockchain and talent. Speculation is gone, replaced by a founder-friendly ecosystem where community, real-world products, and high-quality outcomes are the only metrics that matter. Team1 India is doubling down on our most ambitious builders, moving founders from conceptual projects into thriving, market-ready solutions. Mentorship through hands-on workshops for students and brighter spotlights on local talent ensure that Team1 India is cultivating a builder culture that onboards and nurtures talent. The journey continues, stronger and more focused than ever. Follow us here and join our community Telegram below to get more involved.
0:33

Introducing, Team1 India What started as a group of 4 is now a network of 40 active contributors driving blockchain adoption and growth for Avalanche in India. • 100+ events across 30+ cities and 20+ universities • 4,000+ attendees • 3,500+ developer applications for our 7-city hackathon tour The mission is straightforward: We are building the network that ensures India remains one of the global leaders when it comes to blockchain and talent. Speculation is gone, replaced by a founder-friendly ecosystem where community, real-world products, and high-quality outcomes are the only metrics that matter. Team1 India is doubling down on our most ambitious builders, moving founders from conceptual projects into thriving, market-ready solutions. Mentorship through hands-on workshops for students and brighter spotlights on local talent ensure that Team1 India is cultivating a builder culture that onboards and nurtures talent. The journey continues, stronger and more focused than ever. Follow us here and join our community Telegram below to get more involved.

Team1 India

41,247 görüntüleme • 6 ay önce

Gilbert Strang taught linear algebra at MIT for fifty years. His last lecture is on YouTube. It has fewer views than his worst lecture. Nobody told students it was the last one. He just walked in, said "the final class in linear algebra at MIT," and started reviewing old exams. Google built a $2,000,000,000,000 company on one concept from this course. He is 88 years old. He still answers emails. This is MIT 18.06. Linear Algebra. The most watched mathematics course in history. Then the Markov matrix. Strang writes a transition matrix on the board. Three states. People moving between them every step. After enough steps - the system locks into a steady state that never changes. That steady state is an eigenvector. Google's PageRank works the same way. Websites are states. Clicks are transitions. The importance of every page on the internet is one eigenvector of one enormous matrix. Then least squares. Three data points. No line passes through all three. So you find the line that minimizes total error. That is how every AI model on earth is trained - including the ones running inside Goldman Sachs trading desks. Then the projection. The closest point on a plane to a vector outside it. Strang draws it in 30 seconds. That same operation is how Netflix decides what to recommend to 280,000,000 subscribers. Watch the moment he gives back the final exam answer and asks students to work backwards to the question - the room solves it in silence faster than any other lecture all semester. A software engineer told me 18.06 was the course that got her from $90,000 to $200,000 in two years. Same company. Different title. Bookmark this and watch later - after this lecture every dataset you touch will feel like a geometry problem waiting to be solved. MIT 18.06 Lecture 34 | Linear Algebra Final Review | Gilbert Strang
43:06

Gilbert Strang taught linear algebra at MIT for fifty years. His last lecture is on YouTube. It has fewer views than his worst lecture. Nobody told students it was the last one. He just walked in, said "the final class in linear algebra at MIT," and started reviewing old exams. Google built a $2,000,000,000,000 company on one concept from this course. He is 88 years old. He still answers emails. This is MIT 18.06. Linear Algebra. The most watched mathematics course in history. Then the Markov matrix. Strang writes a transition matrix on the board. Three states. People moving between them every step. After enough steps - the system locks into a steady state that never changes. That steady state is an eigenvector. Google's PageRank works the same way. Websites are states. Clicks are transitions. The importance of every page on the internet is one eigenvector of one enormous matrix. Then least squares. Three data points. No line passes through all three. So you find the line that minimizes total error. That is how every AI model on earth is trained - including the ones running inside Goldman Sachs trading desks. Then the projection. The closest point on a plane to a vector outside it. Strang draws it in 30 seconds. That same operation is how Netflix decides what to recommend to 280,000,000 subscribers. Watch the moment he gives back the final exam answer and asks students to work backwards to the question - the room solves it in silence faster than any other lecture all semester. A software engineer told me 18.06 was the course that got her from $90,000 to $200,000 in two years. Same company. Different title. Bookmark this and watch later - after this lecture every dataset you touch will feel like a geometry problem waiting to be solved. MIT 18.06 Lecture 34 | Linear Algebra Final Review | Gilbert Strang

Zyphor

56,603 görüntüleme • 28 gün önce

Yesterday, I had the privilege of delivering the Annual Public Lecture at Osun State University, Osogbo on the invitation of the institution’s leadership. The lecture titled “Interrogating the Funding of Education: Global Versus Nigerian Perspectives.” A topic that could not have come at a better time as we try to fix our tertiary education system I underscored a central truth that though education in my opinion is a fundamental human right and not a privilege , it can also be very expensive. In Nigeria, where over 1.9 million young people apply to universities annually and more than 130 public universities operate across the federation, the old funding model is no longer sustainable. That is why, during my time as Speaker of the House of Representatives, I sponsored and led the passage of the Interest-free Students Loan (Access to Higher Education) Act 2023, a transformative piece of legislation aimed at ensuring that no capable Nigerian youth is denied a university education solely because they cannot afford fees. And in one of his earliest acts as President, President Bola Ahmed Tinubu a strong believer in education signed that bill into law, affirming the President’s commitment to access, equity, and opportunity to all Nigerians. Together, we laid the legislative and executive foundations for what has become a new era of inclusive tertiary education in Nigeria. In my address, I also encouraged our universities to take learn from global institutions that have successfully diversified their income through commercial ventures, research commercialization, and international student enrolment. Institutions like Harvard, Oxford, and MIT don’t just educate, they innovate, compete, and generate revenue through publishing, patents, and partnerships. Nigeria can do the same if we reimagine our public universities not as charitable institutions but as engines of development. But we must also confront the deep structural issues: unethical practices, lack of global competitiveness, outdated teaching methods, and poor infrastructure. Reforming higher education is not just about money it’s about standards, partnerships, and courage. Let us build universities that can compete globally, inspire students, and contribute economically. Let us through qualitative education erect ladders of opportunity for the younger generation.
2:02

Yesterday, I had the privilege of delivering the Annual Public Lecture at Osun State University, Osogbo on the invitation of the institution’s leadership. The lecture titled “Interrogating the Funding of Education: Global Versus Nigerian Perspectives.” A topic that could not have come at a better time as we try to fix our tertiary education system I underscored a central truth that though education in my opinion is a fundamental human right and not a privilege , it can also be very expensive. In Nigeria, where over 1.9 million young people apply to universities annually and more than 130 public universities operate across the federation, the old funding model is no longer sustainable. That is why, during my time as Speaker of the House of Representatives, I sponsored and led the passage of the Interest-free Students Loan (Access to Higher Education) Act 2023, a transformative piece of legislation aimed at ensuring that no capable Nigerian youth is denied a university education solely because they cannot afford fees. And in one of his earliest acts as President, President Bola Ahmed Tinubu a strong believer in education signed that bill into law, affirming the President’s commitment to access, equity, and opportunity to all Nigerians. Together, we laid the legislative and executive foundations for what has become a new era of inclusive tertiary education in Nigeria. In my address, I also encouraged our universities to take learn from global institutions that have successfully diversified their income through commercial ventures, research commercialization, and international student enrolment. Institutions like Harvard, Oxford, and MIT don’t just educate, they innovate, compete, and generate revenue through publishing, patents, and partnerships. Nigeria can do the same if we reimagine our public universities not as charitable institutions but as engines of development. But we must also confront the deep structural issues: unethical practices, lack of global competitiveness, outdated teaching methods, and poor infrastructure. Reforming higher education is not just about money it’s about standards, partnerships, and courage. Let us build universities that can compete globally, inspire students, and contribute economically. Let us through qualitative education erect ladders of opportunity for the younger generation.

Femi Gbajabiamila

23,298 görüntüleme • 1 yıl önce

Daniel Kibret is Abiy’s right-hand man, a close confidant, and one of the most trusted figures in Abiy’s inner circle. He is almost always at Abiy’s side at public functions and acts as the chief ideologue of the Prosperity Party. He is well known for using Amharic idioms and prose to ridicule and insult opposition figures. In practice, he appears to wield more influence than many of Abiy’s Ministers. Recently, he delivered a lecture on #Ethiopia’s so-called strategic necessity regarding the Nile River and the Red Sea basin, making it clear that Abiy often serves as a mouthpiece for Daniel Kibret’s ideas or vice-versa. The lecture was delivered to members of the artistic community in Addis Ababa and was titled Ethiopia’s War of Narratives. Its purpose was to instruct them on how to campaign using new narratives to “enlighten” the Ethiopian public—particularly narratives centered on water. He argued that Ethiopia’s enemies have deliberately prevented the country from benefiting from the Nile and the Red Sea. The lecture is deeply dangerous in its intent, as it seeks to plant the seeds of conflict in the Horn of #Africa for generations to come. Daniel Kibret openly questioned the legitimacy of colonial-era borders, asking whether Ethiopia should accept or reject them there by attempting to break one of the main tenets of African Union African Union . He argued that accepting these boundaries would mean losing access to the Nile, abandoning claims to the Red Sea, and even being restricted from freely using the term “water” itself. He went on to note that Ethiopia only recently established a Ministry of Water, more than a century after the modern state was formed, and framed this as evidence of historical injustice. His central question was clear: should Ethiopia accept or reject colonial boundaries? Throughout the lecture, he made numerous false, misleading, and outright untrue claims. I will address these in detail in subsequent posts.
1:22

Daniel Kibret is Abiy’s right-hand man, a close confidant, and one of the most trusted figures in Abiy’s inner circle. He is almost always at Abiy’s side at public functions and acts as the chief ideologue of the Prosperity Party. He is well known for using Amharic idioms and prose to ridicule and insult opposition figures. In practice, he appears to wield more influence than many of Abiy’s Ministers. Recently, he delivered a lecture on #Ethiopia’s so-called strategic necessity regarding the Nile River and the Red Sea basin, making it clear that Abiy often serves as a mouthpiece for Daniel Kibret’s ideas or vice-versa. The lecture was delivered to members of the artistic community in Addis Ababa and was titled Ethiopia’s War of Narratives. Its purpose was to instruct them on how to campaign using new narratives to “enlighten” the Ethiopian public—particularly narratives centered on water. He argued that Ethiopia’s enemies have deliberately prevented the country from benefiting from the Nile and the Red Sea. The lecture is deeply dangerous in its intent, as it seeks to plant the seeds of conflict in the Horn of #Africa for generations to come. Daniel Kibret openly questioned the legitimacy of colonial-era borders, asking whether Ethiopia should accept or reject them there by attempting to break one of the main tenets of African Union African Union . He argued that accepting these boundaries would mean losing access to the Nile, abandoning claims to the Red Sea, and even being restricted from freely using the term “water” itself. He went on to note that Ethiopia only recently established a Ministry of Water, more than a century after the modern state was formed, and framed this as evidence of historical injustice. His central question was clear: should Ethiopia accept or reject colonial boundaries? Throughout the lecture, he made numerous false, misleading, and outright untrue claims. I will address these in detail in subsequent posts.

Sirak Bahlbi

10,675 görüntüleme • 9 ay önce

Are boots on the ground coming to Iran? The Trump administration is reportedly preparing for major military operations to force the reopening of the Strait of Hormuz. Brandon Weichert reports that key U.S. military assets are now being positioned near Iran, with discussions of a coastal island takeover that could drag the United States into a prolonged war. What is this operation really meant to accomplish? Can the Strait actually be secured through military force, or are we walking into another endless conflict with no clear exit? We discuss that, and more, in this interview.
3:46

Are boots on the ground coming to Iran? The Trump administration is reportedly preparing for major military operations to force the reopening of the Strait of Hormuz. Brandon Weichert reports that key U.S. military assets are now being positioned near Iran, with discussions of a coastal island takeover that could drag the United States into a prolonged war. What is this operation really meant to accomplish? Can the Strait actually be secured through military force, or are we walking into another endless conflict with no clear exit? We discuss that, and more, in this interview.

Redacted

15,214 görüntüleme • 4 ay önce

ART IS ART Art does not ask what tool you used. It asks if you made something worth looking at. That is the whole argument. The rest is noise. AI artists are not a glitch in the timeline. They are here. They ship. They stay up late. They build worlds, characters, mornings, and tiny impossible things that did not exist yesterday. Some people will keep calling it theft. Some will keep calling it slop. Fine. Let them talk. We will keep posting. If a piece moves you, that is art. If a community shows up under it and makes more, that is a scene. If someone found a way to tell their story after years of being locked out of the old gate, that is not a crime. That is the point. Support the work. Quote the piece you love. Leave the artist a real comment, not a lecture. The future is not waiting for permission. It is already on the timeline. We grow it together.
0:51

ART IS ART Art does not ask what tool you used. It asks if you made something worth looking at. That is the whole argument. The rest is noise. AI artists are not a glitch in the timeline. They are here. They ship. They stay up late. They build worlds, characters, mornings, and tiny impossible things that did not exist yesterday. Some people will keep calling it theft. Some will keep calling it slop. Fine. Let them talk. We will keep posting. If a piece moves you, that is art. If a community shows up under it and makes more, that is a scene. If someone found a way to tell their story after years of being locked out of the old gate, that is not a crime. That is the point. Support the work. Quote the piece you love. Leave the artist a real comment, not a lecture. The future is not waiting for permission. It is already on the timeline. We grow it together.

Toshi

17,825 görüntüleme • 22 gün önce

A Bonus render of Electron Holography for our Quantum Mechanics Lecture Series. We’re staging a TEM-style electron holography shot as a single 3D scene. A coherent electron wave ψ(x,y,t) enters from the left as a localized packet, gets split by a thin biprism phase wedge, then bends around a central nanoring that stands in for an enclosed magnetic flux. The wave evolves by Schrödinger dynamics, so its intensity ρ=|ψ|² is literally the electron detection probability density, while the probability current j=(1/m)Im(ψ*∇ψ) acts like a conserved flow of that density across the plane. The main surface is a living whose height tracks |ψ| and whose skin color cycles with arg(ψ). On top of it, luminous current ribbons trace streamlines of v=j/(ρ+ε), so you can see how phase gradients steer the flow around the ring and back into interference. High above, a tilted detector/hologram screen shows the off-axis fringe image you’d measure (intensity after mixing with a reference wave), while a porcelain bead marks the centroid ⟨x⟩(t) and flux threads through the ring pulse in sync with the Aharonov-Bohm phase knob φ_AB(t). See our lecture series for details. #QuantumMechanics #ElectronHolography #MathematicalPhysics #Physics
1:30

A Bonus render of Electron Holography for our Quantum Mechanics Lecture Series. We’re staging a TEM-style electron holography shot as a single 3D scene. A coherent electron wave ψ(x,y,t) enters from the left as a localized packet, gets split by a thin biprism phase wedge, then bends around a central nanoring that stands in for an enclosed magnetic flux. The wave evolves by Schrödinger dynamics, so its intensity ρ=|ψ|² is literally the electron detection probability density, while the probability current j=(1/m)Im(ψ*∇ψ) acts like a conserved flow of that density across the plane. The main surface is a living whose height tracks |ψ| and whose skin color cycles with arg(ψ). On top of it, luminous current ribbons trace streamlines of v=j/(ρ+ε), so you can see how phase gradients steer the flow around the ring and back into interference. High above, a tilted detector/hologram screen shows the off-axis fringe image you’d measure (intensity after mixing with a reference wave), while a porcelain bead marks the centroid ⟨x⟩(t) and flux threads through the ring pulse in sync with the Aharonov-Bohm phase knob φ_AB(t). See our lecture series for details. #QuantumMechanics #ElectronHolography #MathematicalPhysics #Physics

Mathelirium

14,252 görüntüleme • 8 ay önce

Persi Diaconis, Stanford mathematician and former professional magician: "I spent fifty years proving one thing: almost nothing is as random as it looks. The 50.75% that built Renaissance wasn't luck. It was a tiny crack in the randomness, found and repeated a million times." this free lecture holds the exact idea the thread above is built on. and the man giving it isn't a trader. he's a stanford professor and former professional magician who spent his career on one question: where does real randomness end, and where does a hidden edge begin. here is his life's finding. a coin, a shuffle, a market, all look random, yet each hides a faint, measurable bias. on its own that bias is nothing, indistinguishable from luck. repeat it enough times and it stops being luck and becomes a law. that faint crack, found and repeated, is the whole distance between a 50.75% win rate and a hundred billion dollars. none of this is new or hidden. diaconis has taught it for decades, the math runs back to 1713, and the lecture is free. i mapped the full system in my article, expected value, kelly, and this. same point the thread makes: the edge was sitting in plain sight. here is the part the gurus skip. a faint edge only pays if you survive long enough to reach it, and that takes correct sizing and the patience to trust it through thousands of losing-looking trades. most quit while it still looks like randomness. the math is free. the nerve to hold it is the edge.
48:41

Persi Diaconis, Stanford mathematician and former professional magician: "I spent fifty years proving one thing: almost nothing is as random as it looks. The 50.75% that built Renaissance wasn't luck. It was a tiny crack in the randomness, found and repeated a million times." this free lecture holds the exact idea the thread above is built on. and the man giving it isn't a trader. he's a stanford professor and former professional magician who spent his career on one question: where does real randomness end, and where does a hidden edge begin. here is his life's finding. a coin, a shuffle, a market, all look random, yet each hides a faint, measurable bias. on its own that bias is nothing, indistinguishable from luck. repeat it enough times and it stops being luck and becomes a law. that faint crack, found and repeated, is the whole distance between a 50.75% win rate and a hundred billion dollars. none of this is new or hidden. diaconis has taught it for decades, the math runs back to 1713, and the lecture is free. i mapped the full system in my article, expected value, kelly, and this. same point the thread makes: the edge was sitting in plain sight. here is the part the gurus skip. a faint edge only pays if you survive long enough to reach it, and that takes correct sizing and the patience to trust it through thousands of losing-looking trades. most quit while it still looks like randomness. the math is free. the nerve to hold it is the edge.

Rossst.03

231,449 görüntüleme • 2 ay önce

#BREAKING: President Trump today said regime change in #Iran "would be the best thing that could happen. For 47 years, they've been talking and talking and talking. In the meantime, we've lost a lot of lives while they talk. Legs blown off, arms blown off, faces blown off. We've been going on for a long time so let's see what happens." President Trump understands the dynamics here more than most people realize. He has no patience for the Islamic Republic's stalling. And this is a historic statement, following other historic statements, for an American president to make. It's gone further than his predecessors, who just used to express support for the Iranian people to exercise their rights.
0:31

#BREAKING: President Trump today said regime change in #Iran "would be the best thing that could happen. For 47 years, they've been talking and talking and talking. In the meantime, we've lost a lot of lives while they talk. Legs blown off, arms blown off, faces blown off. We've been going on for a long time so let's see what happens." President Trump understands the dynamics here more than most people realize. He has no patience for the Islamic Republic's stalling. And this is a historic statement, following other historic statements, for an American president to make. It's gone further than his predecessors, who just used to express support for the Iranian people to exercise their rights.

Jason Brodsky

495,535 görüntüleme • 7 ay önce

In an era when “calling the police” on kids simply playing can divide a community, escalate a situation, or even put lives at risk, here is to those who find another way. Who turn conflict into connection. A complaint into community. A tense moment into an opportunity for joy. And here is to Shaq. I had the honor of working with him on many projects in Newark. What always stood out to me wasn’t his celebrity or even his larger-than-life presence. It was his humanity. For someone who commands so much attention, he has a remarkable gift for giving it to others. For making people, especially young people, feel special, worthy, capable, and seen. There is grace in that. A noise complaint brought the police. The police brought Shaq. And what could have become a moment of division became basketball, laughter, connection, and community. May we find more ways to turn conflict into connection. May we see more of this. May we be more of this. op: @theactsofhumanity
0:54

In an era when “calling the police” on kids simply playing can divide a community, escalate a situation, or even put lives at risk, here is to those who find another way. Who turn conflict into connection. A complaint into community. A tense moment into an opportunity for joy. And here is to Shaq. I had the honor of working with him on many projects in Newark. What always stood out to me wasn’t his celebrity or even his larger-than-life presence. It was his humanity. For someone who commands so much attention, he has a remarkable gift for giving it to others. For making people, especially young people, feel special, worthy, capable, and seen. There is grace in that. A noise complaint brought the police. The police brought Shaq. And what could have become a moment of division became basketball, laughter, connection, and community. May we find more ways to turn conflict into connection. May we see more of this. May we be more of this. op: @theactsofhumanity

Cory Booker

49,324 görüntüleme • 22 gün önce

🚨 WOW! JD Vance reveals the US became a net importer of our OWN FOOD under Joe Biden -- for the first time EVER "We got more of our food from OUTSIDE the United States of America than we did from our OWN FARMERS." Thankfully, Trump fixed it: "What Donald J. Trump did when he came into office is he said, we are done with that. We are growing American food on American farms for American families." That's a MAJOR national issue. Giving control over our food supply to foreign nations is LUDICROUS. And if we just allow all of our farms to shutter, it's not like we can flip a switch and reopen them all. Thank God President Trump got elected in 2024.
0:52

🚨 WOW! JD Vance reveals the US became a net importer of our OWN FOOD under Joe Biden -- for the first time EVER "We got more of our food from OUTSIDE the United States of America than we did from our OWN FARMERS." Thankfully, Trump fixed it: "What Donald J. Trump did when he came into office is he said, we are done with that. We are growing American food on American farms for American families." That's a MAJOR national issue. Giving control over our food supply to foreign nations is LUDICROUS. And if we just allow all of our farms to shutter, it's not like we can flip a switch and reopen them all. Thank God President Trump got elected in 2024.

Nick Sortor

369,681 görüntüleme • 10 gün önce

HARVARD FILMED THE FIRST LECTURE OF THEIR MOST POPULAR STATISTICS COURSE - TAUGHT BY A PROFESSOR WHOSE STUDENTS CALL HIM THE BEST TEACHER THEY HAVE EVER HAD - AND IT PROVES WHY EVEN ISAAC NEWTON GOT PROBABILITY WRONG This is Joe Blitzstein, Harvard, Statistics 110, lecture 1. He has won Harvard's Excellence in Teaching award multiple times, his textbook Introduction to Probability is used in over 200 universities worldwide, and his online course has been taken by over 2 million people across 190 countries. He opens by saying that after a few weeks of this course you will easily solve calculations that 300 years ago required consulting Isaac Newton - and Newton's intuition was still wrong. He traces probability to Fermat and Pascal writing letters back and forth in the 1650s analyzing gambling games. No one had mathematically derived the rules before. They invented the subject by betting on dice in correspondence. Then he shows why the naive definition - probability equals favorable outcomes divided by total outcomes - breaks immediately. Ask what the probability of life on Neptune is. Either there is or there isn't. By the naive definition the answer is 1/2. So is the probability of intelligent life on Neptune. Something is severely wrong. Then the multiplication rule. Two types of ice cream cone and three flavors gives 6 combinations - not because you memorized it but because you can draw a tree and count branches. Every counting problem in the course is just a bigger version of that tree. Then binomial coefficients - n choose k counts the number of ways to select k objects from n when order doesn't matter. The full house in poker falls out in 4 lines of multiplication once you understand the tree. Watch the moment he fills in the sampling table - with or without replacement, order matters or doesn't. Three of the four boxes are immediate from the multiplication rule. The fourth requires a proof he saves for next lecture. That one box is harder than the other three combined. A data scientist I know rewatched this lecture before switching careers into statistics. Said it was the first time probability felt like a system with rules rather than a collection of tricks. Free on YouTube, Harvard, over 2 million views. bookmark this and watch later - after this lecture you will never again confuse equally likely with obviously true
46:28

HARVARD FILMED THE FIRST LECTURE OF THEIR MOST POPULAR STATISTICS COURSE - TAUGHT BY A PROFESSOR WHOSE STUDENTS CALL HIM THE BEST TEACHER THEY HAVE EVER HAD - AND IT PROVES WHY EVEN ISAAC NEWTON GOT PROBABILITY WRONG This is Joe Blitzstein, Harvard, Statistics 110, lecture 1. He has won Harvard's Excellence in Teaching award multiple times, his textbook Introduction to Probability is used in over 200 universities worldwide, and his online course has been taken by over 2 million people across 190 countries. He opens by saying that after a few weeks of this course you will easily solve calculations that 300 years ago required consulting Isaac Newton - and Newton's intuition was still wrong. He traces probability to Fermat and Pascal writing letters back and forth in the 1650s analyzing gambling games. No one had mathematically derived the rules before. They invented the subject by betting on dice in correspondence. Then he shows why the naive definition - probability equals favorable outcomes divided by total outcomes - breaks immediately. Ask what the probability of life on Neptune is. Either there is or there isn't. By the naive definition the answer is 1/2. So is the probability of intelligent life on Neptune. Something is severely wrong. Then the multiplication rule. Two types of ice cream cone and three flavors gives 6 combinations - not because you memorized it but because you can draw a tree and count branches. Every counting problem in the course is just a bigger version of that tree. Then binomial coefficients - n choose k counts the number of ways to select k objects from n when order doesn't matter. The full house in poker falls out in 4 lines of multiplication once you understand the tree. Watch the moment he fills in the sampling table - with or without replacement, order matters or doesn't. Three of the four boxes are immediate from the multiplication rule. The fourth requires a proof he saves for next lecture. That one box is harder than the other three combined. A data scientist I know rewatched this lecture before switching careers into statistics. Said it was the first time probability felt like a system with rules rather than a collection of tricks. Free on YouTube, Harvard, over 2 million views. bookmark this and watch later - after this lecture you will never again confuse equally likely with obviously true

Abyzon

655,493 görüntüleme • 1 ay önce

The smartest man at Bell Labs quietly turned math into a millionaire's fortune in the market. one of his tricks: make money off a stock that goes nowhere. up 40%, down 40%, flat on the year, and you still walk away richer. it survived in a grainy black-and-white MIT lecture from 1970. free ever since, and almost nobody plays something this old. the man at the board is Herb Gross, MIT, whose 1970 course taught more traders their own math than most finance degrees ever will. here is the part that pays. one rebalance earns almost nothing. a thousand earn a little. that is still just "many." take it to infinity and it turns into something else, a premium no single trade ever held. the wiggle stops being noise and becomes the return. no ticker. no forecast. one tiny gain, taken forever. the stock did nothing. the math did everything. it has been free since 1970, and almost no one learned the one idea that turns motion into money.
25:41

The smartest man at Bell Labs quietly turned math into a millionaire's fortune in the market. one of his tricks: make money off a stock that goes nowhere. up 40%, down 40%, flat on the year, and you still walk away richer. it survived in a grainy black-and-white MIT lecture from 1970. free ever since, and almost nobody plays something this old. the man at the board is Herb Gross, MIT, whose 1970 course taught more traders their own math than most finance degrees ever will. here is the part that pays. one rebalance earns almost nothing. a thousand earn a little. that is still just "many." take it to infinity and it turns into something else, a premium no single trade ever held. the wiggle stops being noise and becomes the return. no ticker. no forecast. one tiny gain, taken forever. the stock did nothing. the math did everything. it has been free since 1970, and almost no one learned the one idea that turns motion into money.

Loran

24,688 görüntüleme • 1 ay önce

A CARNEGIE MELLON PROFESSOR WAS TOLD HE HAD 3 TO 6 MONTHS TO LIVE. One month later he walked into a packed auditorium. His name was Randy Pausch. He was 46 years old. He had terminal pancreatic cancer. He had three children under the age of 6. And he stood on that stage and gave the most joyful lecture ever recorded. He did not talk about dying. He did not talk about regret. He did not talk about the unfairness of what was happening to him. He talked about achieving childhood dreams. He did one-armed push-ups on stage to prove he was still strong. He made the audience laugh for 76 minutes straight. He said: "We cannot change the cards we are dealt. Just how we play the hand." The video hit 20 million views overnight. Oprah called. Congress called. He testified before the Senate about pancreatic cancer funding. He got a cameo in Star Trek because the director heard his story and personally invited him. He wrote a book that sold 5 million copies in 48 languages. He died 10 months after the lecture. He was 47 years old. The bridge connecting computer science and the arts at Carnegie Mellon is named after him. Because Randy Pausch spent his entire career connecting the two. Watch the lecture tonight. 4 minutes that will permanently change how you think about time. Bookmark this. Follow CyrilXBT for more stories about people who used their time better than anyone else alive.
4:42

A CARNEGIE MELLON PROFESSOR WAS TOLD HE HAD 3 TO 6 MONTHS TO LIVE. One month later he walked into a packed auditorium. His name was Randy Pausch. He was 46 years old. He had terminal pancreatic cancer. He had three children under the age of 6. And he stood on that stage and gave the most joyful lecture ever recorded. He did not talk about dying. He did not talk about regret. He did not talk about the unfairness of what was happening to him. He talked about achieving childhood dreams. He did one-armed push-ups on stage to prove he was still strong. He made the audience laugh for 76 minutes straight. He said: "We cannot change the cards we are dealt. Just how we play the hand." The video hit 20 million views overnight. Oprah called. Congress called. He testified before the Senate about pancreatic cancer funding. He got a cameo in Star Trek because the director heard his story and personally invited him. He wrote a book that sold 5 million copies in 48 languages. He died 10 months after the lecture. He was 47 years old. The bridge connecting computer science and the arts at Carnegie Mellon is named after him. Because Randy Pausch spent his entire career connecting the two. Watch the lecture tonight. 4 minutes that will permanently change how you think about time. Bookmark this. Follow CyrilXBT for more stories about people who used their time better than anyone else alive.

CyrilXBT

22,278 görüntüleme • 5 ay önce

Apple is a baby fox rescued by Kimberly, founder of Arctic Fox Daily Rescue. 🦊🍎 Apple has hydrocephalus, a serious condition that makes life very hard for baby foxes, and most baby foxes with this condition are not given a real chance. But Kimberly did not give up. Now Apple may need expensive treatment or surgery, and the solana:Aw5SxKyYhXFdZj2BHCqs11UaV5ohwpFQjauB9jFhpump community is here to help. All fees from solana:Aw5SxKyYhXFdZj2BHCqs11UaV5ohwpFQjauB9jFhpump are being donated to Arctic Fox Daily Rescue through the PumpFun charity feature. So far, we raised $67,322 and became a Top 3 charity coin on Kimberly has noticed the solana:Aw5SxKyYhXFdZj2BHCqs11UaV5ohwpFQjauB9jFhpump movement and thanked the community for standing with Apple on TikTok. link: This is more than a meme. This is a real charity coin with a real mission. We are helping Apple fight for her life and giving hope to more baby foxes like her. 🦊🦊🍎
1:04

Apple is a baby fox rescued by Kimberly, founder of Arctic Fox Daily Rescue. 🦊🍎 Apple has hydrocephalus, a serious condition that makes life very hard for baby foxes, and most baby foxes with this condition are not given a real chance. But Kimberly did not give up. Now Apple may need expensive treatment or surgery, and the solana:Aw5SxKyYhXFdZj2BHCqs11UaV5ohwpFQjauB9jFhpump community is here to help. All fees from solana:Aw5SxKyYhXFdZj2BHCqs11UaV5ohwpFQjauB9jFhpump are being donated to Arctic Fox Daily Rescue through the PumpFun charity feature. So far, we raised $67,322 and became a Top 3 charity coin on Kimberly has noticed the solana:Aw5SxKyYhXFdZj2BHCqs11UaV5ohwpFQjauB9jFhpump movement and thanked the community for standing with Apple on TikTok. link: This is more than a meme. This is a real charity coin with a real mission. We are helping Apple fight for her life and giving hope to more baby foxes like her. 🦊🦊🍎

Apple

123,118 görüntüleme • 4 ay önce