Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

MATH HOFFA EX CO-HOST CHAMP is alleging some WILD things… MATH & REMY MA??? WHATTTT 😳 Oh nahhhh… 2026 might need a reset

POLO WORLD

14,142 subscribers

107,747 Aufrufe • vor 6 Monaten •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Math Hoffa Ex CO HOST Champ DOUBLES DOWN on his Alleged Remy Ma & Math story…Ohhhh nahhhh he GOING OFF 😳

Math Hoffa Ex CO HOST Champ DOUBLES DOWN on his Alleged Remy Ma & Math story…Ohhhh nahhhh he GOING OFF 😳

POLO WORLD

45,341 Aufrufe • vor 6 Monaten

EAZY TBC RESPONDS TO RUMORS ABOUT REMY MA ALLEGEDLY SLEEPING W/ MATH HOFFA & HINTS AT REMY MA LEAVING BATTLE RAP “B4 I STARTED TALKIN TO REMY I NEVER HEARD NO RUMORS ABOUT HER BUT 4 SOME REASON AFTER ME THERES RUMORS..ITS BECOMING DISRESPECTFUL..MATH ALREADY SAID ITS NOT TRUE”

EAZY TBC RESPONDS TO RUMORS ABOUT REMY MA ALLEGEDLY SLEEPING W/ MATH HOFFA & HINTS AT REMY MA LEAVING BATTLE RAP “B4 I STARTED TALKIN TO REMY I NEVER HEARD NO RUMORS ABOUT HER BUT 4 SOME REASON AFTER ME THERES RUMORS..ITS BECOMING DISRESPECTFUL..MATH ALREADY SAID ITS NOT TRUE”

KING DNA TOOTH 👑🦷

108,846 Aufrufe • vor 6 Monaten

MATH HOFFA SUBTLY HINTS AT TSU SURF BEING A SNITCH IN DELETED SCENE & SAYS “ITS NOT MY PLACE TO SAY IF HE A SNITCH OR NOT BECAUSE U DON’T KNOW WHAT TYPE OF ENTITLEMENTS HE HAS NOW..IF THE RAPPER IS GETTING OUT 1ST,THERES SOME ENTITLEMENT”

MATH HOFFA SUBTLY HINTS AT TSU SURF BEING A SNITCH IN DELETED SCENE & SAYS “ITS NOT MY PLACE TO SAY IF HE A SNITCH OR NOT BECAUSE U DON’T KNOW WHAT TYPE OF ENTITLEMENTS HE HAS NOW..IF THE RAPPER IS GETTING OUT 1ST,THERES SOME ENTITLEMENT”

KING DNA TOOTH 👑🦷

238,245 Aufrufe • vor 3 Monaten

Terence Tao: "Previously, you needed a PhD to contribute to math research. Now a high school student can." Dwarkesh asks the world's most famous mathematician: what's your advice for someone considering a career in math, especially in light of AI progress? Tao is honest about uncertainty: "We live in a time of change. A particularly unpredictable era. Things that we've taken for granted for centuries may not hold anymore. The way we do everything... not just mathematics... will change." He admits his preference: "In many ways, I would prefer a much more boring, quiet era where things are much the same as they were 10 or 20 years ago. But one just has to embrace this. There's going to be a lot of change. The things you study... some of them may become obsolete or revolutionized. But some things will be retained." On new opportunities: "Previously, you had to go through years and years of education and get a math PhD before you could contribute to the frontier of math research. But now it's quite possible at the high school level that you could get involved in a math project and actually make a real contribution... because of all these AI tools and Lean and everything else." His advice: "There will be a lot of non-traditional opportunities to learn. You need a very adaptable mindset. There'll be worth pursuing things just for curiosity and for playing around. Still go through traditional education and learn math and science the old-fashioned way for a while... credentials will still be important. But you should also be open to very, very different ways of doing science. Some of which don't exist yet." He concludes: "It's a scary time. But also very exciting."

Terence Tao: "Previously, you needed a PhD to contribute to math research. Now a high school student can." Dwarkesh asks the world's most famous mathematician: what's your advice for someone considering a career in math, especially in light of AI progress? Tao is honest about uncertainty: "We live in a time of change. A particularly unpredictable era. Things that we've taken for granted for centuries may not hold anymore. The way we do everything... not just mathematics... will change." He admits his preference: "In many ways, I would prefer a much more boring, quiet era where things are much the same as they were 10 or 20 years ago. But one just has to embrace this. There's going to be a lot of change. The things you study... some of them may become obsolete or revolutionized. But some things will be retained." On new opportunities: "Previously, you had to go through years and years of education and get a math PhD before you could contribute to the frontier of math research. But now it's quite possible at the high school level that you could get involved in a math project and actually make a real contribution... because of all these AI tools and Lean and everything else." His advice: "There will be a lot of non-traditional opportunities to learn. You need a very adaptable mindset. There'll be worth pursuing things just for curiosity and for playing around. Still go through traditional education and learn math and science the old-fashioned way for a while... credentials will still be important. But you should also be open to very, very different ways of doing science. Some of which don't exist yet." He concludes: "It's a scary time. But also very exciting."

Jaynit

77,350 Aufrufe • vor 2 Monaten

Full episode of the first-ever Math Academy podcast with Jason Roberts: 0:00 - Introduction 4:00 - Applying the MA Way to X Growth 7:40 - Status of the ML Course and its Kick-Ass Coding Projects (Part 1) 25:50 - Jason's Near-Infinite List of Important Things 34:20 - The ML Course Has Been a Massive Undertaking 42:10 - Breadth-First Development 44:30 - Status of the ML Course and its Kick-Ass Coding Projects (Part 2) 50:15 - Why Math Academy Needs To Do a CS Course 56:45 - The Never-Ending Stream of Confusion 1:00:30 - The Story of Eurisko, the Most Advanced Math/CS Track in the USA 1:24:20 - Intuition Through Repetition: Machine Learning Edition 1:29:40 - The Importance of Spaced Review 1:43:30 - Upcoming Course Roadmap 1:47:40 - Spaced Repetition 2.0: Accounting For and Discouraging Reference Reliance 1:54:45 - Overhelping: A Pathology of the Over-Involved Parent/Tutor 1:59:21 - Yes, You Need to be Automatic on Math Facts (and Yes, Rapid-Fire Training is Coming) 2:04:55 - What Happens When Students Don't Know Their Math Facts 2:05:50 - The Horror of Attempting to Teach a Class When Students Have Multi-Year Deficits in Fundamental Skills 2:11:30 - Integrating Coding Into the Math Curriculum 2:18:00 - Combining Math and Coding is the Closest Thing to a Real-Life Superpower 2:18:55 - Creating a Full Math Degree and Getting Full College Credit 2:22:15 - The Power of Pre-Learning: The Greatest Educational Life Hack

Full episode of the first-ever Math Academy podcast with Jason Roberts: 0:00 - Introduction 4:00 - Applying the MA Way to X Growth 7:40 - Status of the ML Course and its Kick-Ass Coding Projects (Part 1) 25:50 - Jason's Near-Infinite List of Important Things 34:20 - The ML Course Has Been a Massive Undertaking 42:10 - Breadth-First Development 44:30 - Status of the ML Course and its Kick-Ass Coding Projects (Part 2) 50:15 - Why Math Academy Needs To Do a CS Course 56:45 - The Never-Ending Stream of Confusion 1:00:30 - The Story of Eurisko, the Most Advanced Math/CS Track in the USA 1:24:20 - Intuition Through Repetition: Machine Learning Edition 1:29:40 - The Importance of Spaced Review 1:43:30 - Upcoming Course Roadmap 1:47:40 - Spaced Repetition 2.0: Accounting For and Discouraging Reference Reliance 1:54:45 - Overhelping: A Pathology of the Over-Involved Parent/Tutor 1:59:21 - Yes, You Need to be Automatic on Math Facts (and Yes, Rapid-Fire Training is Coming) 2:04:55 - What Happens When Students Don't Know Their Math Facts 2:05:50 - The Horror of Attempting to Teach a Class When Students Have Multi-Year Deficits in Fundamental Skills 2:11:30 - Integrating Coding Into the Math Curriculum 2:18:00 - Combining Math and Coding is the Closest Thing to a Real-Life Superpower 2:18:55 - Creating a Full Math Degree and Getting Full College Credit 2:22:15 - The Power of Pre-Learning: The Greatest Educational Life Hack

Justin Skycak

65,690 Aufrufe • vor 8 Monaten

Oh My God this Sequel at Winding Oaks Flightline colts is nuts😱 This guys breeding is as insane as his Aura; dam is a Breeders Cup champ, hails from the same family as Shared Belief & has similar harmony to Crude Velocity below 🎶 Might need my man Zedan Racing Stables, Inc to clutch up again 🙏

Oh My God this Sequel at Winding Oaks Flightline colts is nuts😱 This guys breeding is as insane as his Aura; dam is a Breeders Cup champ, hails from the same family as Shared Belief & has similar harmony to Crude Velocity below 🎶 Might need my man Zedan Racing Stables, Inc to clutch up again 🙏

Save Horse Racing

56,216 Aufrufe • vor 2 Monaten

This Rogan x Gad Saad segment is low-key brilliant. Gad brings up John von Neumann — Hungarian Jewish polymath, mathematician, game theory pioneer. The big idea? Life is strategy. Not vibes. Game theory 101: Like the prisoner’s dilemma — every choice depends on what the other side might do. Confess or stay quiet. Cooperate or betray. Each move has consequences. Now scale that up… Cold War. Nukes. Two superpowers playing a giant, deadly chess match. That’s literally how we got mutually assured destruction — straight out of game theory. Some of the biggest decisions in history? Just math + strategy + human behavior colliding. Wild stuff.

This Rogan x Gad Saad segment is low-key brilliant. Gad brings up John von Neumann — Hungarian Jewish polymath, mathematician, game theory pioneer. The big idea? Life is strategy. Not vibes. Game theory 101: Like the prisoner’s dilemma — every choice depends on what the other side might do. Confess or stay quiet. Cooperate or betray. Each move has consequences. Now scale that up… Cold War. Nukes. Two superpowers playing a giant, deadly chess match. That’s literally how we got mutually assured destruction — straight out of game theory. Some of the biggest decisions in history? Just math + strategy + human behavior colliding. Wild stuff.

Crazy Videos

19,143 Aufrufe • vor 5 Monaten

🚨 WHY REALITY MIGHT BE A SIMULATION Roman said it sounds wild at first, but it really comes down to where tech already is. AI is getting close to human level. Digital worlds keep getting more realistic. Once it’s cheap to create intelligent beings inside them, you don’t run one simulation. You run billions, which makes it less likely you’re the original. He said it doesn’t even need full VR. Worlds filled with intelligent agents already count. And once intelligence scales, he said, it doesn’t need pictures or text to think. It can think in full worlds. That’s why simulation theory isn’t sci-fi, it’s just math and where technology is heading. Full interview with AI safety expert Dr. Roman Yampolskiy below

🚨 WHY REALITY MIGHT BE A SIMULATION Roman said it sounds wild at first, but it really comes down to where tech already is. AI is getting close to human level. Digital worlds keep getting more realistic. Once it’s cheap to create intelligent beings inside them, you don’t run one simulation. You run billions, which makes it less likely you’re the original. He said it doesn’t even need full VR. Worlds filled with intelligent agents already count. And once intelligence scales, he said, it doesn’t need pictures or text to think. It can think in full worlds. That’s why simulation theory isn’t sci-fi, it’s just math and where technology is heading. Full interview with AI safety expert Dr. Roman Yampolskiy below

Mario Nawfal

42,189 Aufrufe • vor 5 Monaten

🇮🇷🇺🇸 Past June, the economic and political math turns hard against Washington, and Iran is counting on it. Ex-JCPOA Negotiator Robert Malley says Iran knows that dragging this past June deepens the damage to both the U.S. economy and the Republican Party, and there is a camp in Tehran that believes surviving even another strike only proves their resilience again. He sketched four endings: a framework deal that reopens the strait, Trump declaring victory and walking away, another round of strikes to prove a point, or a grinding stalemate of no war and no peace that keeps claiming victims worldwide. On the strait itself, Robert says what he hears from the Iranians is that there is no return to the way things were. Some form of financial compensation is coming, whether through tolls, sanctions relief, or unfrozen assets. Robert Malley

🇮🇷🇺🇸 Past June, the economic and political math turns hard against Washington, and Iran is counting on it. Ex-JCPOA Negotiator Robert Malley says Iran knows that dragging this past June deepens the damage to both the U.S. economy and the Republican Party, and there is a camp in Tehran that believes surviving even another strike only proves their resilience again. He sketched four endings: a framework deal that reopens the strait, Trump declaring victory and walking away, another round of strikes to prove a point, or a grinding stalemate of no war and no peace that keeps claiming victims worldwide. On the strait itself, Robert says what he hears from the Iranians is that there is no return to the way things were. Some form of financial compensation is coming, whether through tolls, sanctions relief, or unfrozen assets. Robert Malley

Mario Nawfal

34,367 Aufrufe • vor 1 Monat

NEW: Former CNN host Don Lemon says he was s*xually harassed at work when a female employee touched his protruding nipples. The comment came during a two-hour podcast with Bill Maher. "I’ve been harassed by women and men at work." "There are some things that are really egregious, but not everything is Harvey Weinstein-level." Lemon says he was approached by a female co-worker who noticed his nipples. "Oh, it’s cold in here!" she said to Lemon as she "tweaked" them. Lemon shot back: "OK, you realize if I did that, they’d be walking me out the door right now?"

Sensitive content

NEW: Former CNN host Don Lemon says he was s*xually harassed at work when a female employee touched his protruding nipples. The comment came during a two-hour podcast with Bill Maher. "I’ve been harassed by women and men at work." "There are some things that are really egregious, but not everything is Harvey Weinstein-level." Lemon says he was approached by a female co-worker who noticed his nipples. "Oh, it’s cold in here!" she said to Lemon as she "tweaked" them. Lemon shot back: "OK, you realize if I did that, they’d be walking me out the door right now?"

Collin Rugg

230,675 Aufrufe • vor 1 Jahr

Some World Cup visitors come to America expecting chaos... and leave wondering why everyone waved at them from a pickup truck. They figure out pretty quick we're a friendly bunch, might argue about everything under the sun, but we'll still help you change a tire, recommend a good diner, and call you “buddy" like we've known you since Little League. Then there's driving. They ask, "What's the speed limit here?" We say, "Well... technically 55." But what we mean is, "Keep up with traffic or prepare for judgment." And distance? We don't measure that in miles. "Oh, it's about 10 miles away" means nothing. "It's about 15 minutes if you hit the lights right" now that's real American math. By the time they leave, they've learned three things: Americans are nicer than advertised Speed limits are more of a group activity And everything, absolutely everything, is measured in how long it takes to get there Welcome to the U.S.—where the people are warm, the coffee is bottomless, and "just down the road" could mean anything.

Some World Cup visitors come to America expecting chaos... and leave wondering why everyone waved at them from a pickup truck. They figure out pretty quick we're a friendly bunch, might argue about everything under the sun, but we'll still help you change a tire, recommend a good diner, and call you “buddy" like we've known you since Little League. Then there's driving. They ask, "What's the speed limit here?" We say, "Well... technically 55." But what we mean is, "Keep up with traffic or prepare for judgment." And distance? We don't measure that in miles. "Oh, it's about 10 miles away" means nothing. "It's about 15 minutes if you hit the lights right" now that's real American math. By the time they leave, they've learned three things: Americans are nicer than advertised Speed limits are more of a group activity And everything, absolutely everything, is measured in how long it takes to get there Welcome to the U.S.—where the people are warm, the coffee is bottomless, and "just down the road" could mean anything.

G-PA

148,502 Aufrufe • vor 19 Tagen

🚨NEW: Peter Thiel with Joe Lonsdale on tariffs, trade policy, and China. "You need a very drastic reset with China. In theory, you need to reset with other people, but what we really need to get them to do is also reset things with China." Full episode drops next week! JOE: We've been talking about China on and off for over 20 years, and their imbalances. This week the President declared trade war on them, effectively, with 125% tariffs as of now; it'll probably change in the next few days. What do you think of the trade and tariff policy? What's gonna happen? Bond yields sold off more than I expected. The yields went higher than I expected so far. What's going on? PETER: I'm hesitant to comment since obviously it's a very, very fluid situation, but something like the sort of reset that they're talking about now seems where we're going, where you need a very drastic reset with China. In theory you need to reset with other people, but what we really need to get them to do is also reset things with China. I think the rough numbers are that about a quarter of the US trade deficit is bilaterally with China, but another quarter is indirectly with China. So China is sort of half the problem... And then China is the geopolitical rival. So there's a way in which people in Mercedes in Germany are selling cars to the US. We might want to have those pretty well paying jobs in the US and, and not in Germany. And there are all kinds of sort of mercantilist policies that at the margins Germany engages in. But, you know, it's probably not gonna repurpose the Mercedes factory to build tanks to invade the US or something like this. Whereas this sort of dual use problem is the problem with China. ...There are ways the economic relationship with China is fairly efficient.... if people are working for a dollar and a half an hour in a Foxconn factory, we don't really want to get those jobs in Wisconsin. But it is this geopolitical rivalry where... you have to somehow factor in that the economists never are able to factor in properly with China. I'm not sure I would call this the optimistic plan, but the reset in trade that seems desirable to me would be that we radically changed the relationship with China and we sort of induce a lot of other countries to radically change their relationship with China. And that's how we, you know, maybe that's how we build a stronger western alliance of the free world. JOE: Well there's going to be some interesting negotiations in the next few months. Did you think that we could bring, maybe using AI, some more advanced manufacturing here that was in China? Is that a real thing the next decade to do a bunch more here, thanks to our more efficiencies and productivity? PETER: There's probably always a decent amount of things like that. You have to always be extremely granular on how expensive the robots are, how expensive the equipment is, because in some sense, manufacturing has been getting steadily more automated for 250 years. And you've had the machines that make the machines. The machines that make the machines are getting sort of smarter and more complicated. And there are ways in which AI is a quantum leap. There's a way in which it's just, you know, a natural continuation of this, you know, two century long process. I think there are some parts that can be moved to the US with AI. Maybe also if you change some of the environmental rules and some of the other anti-industrial policies we have in the US. But then if parts of this are moved to other emerging market countries. Vietnam is a communist country. It has bad mercantilist policies, but it's not planning to take over the world. And so at the margins, if we can move things from China to Vietnam, that's a big win.

🚨NEW: Peter Thiel with Joe Lonsdale on tariffs, trade policy, and China. "You need a very drastic reset with China. In theory, you need to reset with other people, but what we really need to get them to do is also reset things with China." Full episode drops next week! JOE: We've been talking about China on and off for over 20 years, and their imbalances. This week the President declared trade war on them, effectively, with 125% tariffs as of now; it'll probably change in the next few days. What do you think of the trade and tariff policy? What's gonna happen? Bond yields sold off more than I expected. The yields went higher than I expected so far. What's going on? PETER: I'm hesitant to comment since obviously it's a very, very fluid situation, but something like the sort of reset that they're talking about now seems where we're going, where you need a very drastic reset with China. In theory you need to reset with other people, but what we really need to get them to do is also reset things with China. I think the rough numbers are that about a quarter of the US trade deficit is bilaterally with China, but another quarter is indirectly with China. So China is sort of half the problem... And then China is the geopolitical rival. So there's a way in which people in Mercedes in Germany are selling cars to the US. We might want to have those pretty well paying jobs in the US and, and not in Germany. And there are all kinds of sort of mercantilist policies that at the margins Germany engages in. But, you know, it's probably not gonna repurpose the Mercedes factory to build tanks to invade the US or something like this. Whereas this sort of dual use problem is the problem with China. ...There are ways the economic relationship with China is fairly efficient.... if people are working for a dollar and a half an hour in a Foxconn factory, we don't really want to get those jobs in Wisconsin. But it is this geopolitical rivalry where... you have to somehow factor in that the economists never are able to factor in properly with China. I'm not sure I would call this the optimistic plan, but the reset in trade that seems desirable to me would be that we radically changed the relationship with China and we sort of induce a lot of other countries to radically change their relationship with China. And that's how we, you know, maybe that's how we build a stronger western alliance of the free world. JOE: Well there's going to be some interesting negotiations in the next few months. Did you think that we could bring, maybe using AI, some more advanced manufacturing here that was in China? Is that a real thing the next decade to do a bunch more here, thanks to our more efficiencies and productivity? PETER: There's probably always a decent amount of things like that. You have to always be extremely granular on how expensive the robots are, how expensive the equipment is, because in some sense, manufacturing has been getting steadily more automated for 250 years. And you've had the machines that make the machines. The machines that make the machines are getting sort of smarter and more complicated. And there are ways in which AI is a quantum leap. There's a way in which it's just, you know, a natural continuation of this, you know, two century long process. I think there are some parts that can be moved to the US with AI. Maybe also if you change some of the environmental rules and some of the other anti-industrial policies we have in the US. But then if parts of this are moved to other emerging market countries. Vietnam is a communist country. It has bad mercantilist policies, but it's not planning to take over the world. And so at the margins, if we can move things from China to Vietnam, that's a big win.

American Optimist

316,973 Aufrufe • vor 1 Jahr

$Google just had its DeepSeek moment — and almost nobody's talking about it. Here's the story you need to know. 🧵 When DeepSeek dropped in early 2025, it didn't just impress people. It scared them. A model competing with the biggest AI players — at a fraction of the cost — through math, not hardware. Chip stocks tanked. The industry panicked. Then on March 24th, 2026, Google published a research paper called TurboQuant. Cloudflare's CEO immediately called it Google's DeepSeek moment. Memory chip stocks for Micron and Western Digital fell on the news. Why? Because TurboQuant compresses AI memory by 6x — through software alone. → No new chips needed → No retraining required → One server can now host more models than before The era of throwing hardware at AI problems is ending. The era of mathematical efficiency is here. ✅Save this post, you'll thank yourself when this reshapes every AI tool you use. 📌 Want the SOP? DM me.$

Google just had its DeepSeek moment — and almost nobody's talking about it. Here's the story you need to know. 🧵 When DeepSeek dropped in early 2025, it didn't just impress people. It scared them. A model competing with the biggest AI players — at a fraction of the cost — through math, not hardware. Chip stocks tanked. The industry panicked. Then on March 24th, 2026, Google published a research paper called TurboQuant. Cloudflare's CEO immediately called it Google's DeepSeek moment. Memory chip stocks for Micron and Western Digital fell on the news. Why? Because TurboQuant compresses AI memory by 6x — through software alone. → No new chips needed → No retraining required → One server can now host more models than before The era of throwing hardware at AI problems is ending. The era of mathematical efficiency is here. ✅Save this post, you'll thank yourself when this reshapes every AI tool you use. 📌 Want the SOP? DM me.

Julian Goldie SEO

12,731 Aufrufe • vor 3 Monaten

We can be tax neutral and eliminate 125 million people off the tax rolls. Anybody making $100,000 or less doesn't pay any taxes." Vinod Khosla (Vinod Khosla) on how AI could change the tax code forever: AI will favor capital over labor — so equalize the capital gains tax with ordinary income tax. The math works: 40% of capital gains tax is already paid by people making more than $10 million a year. "The single biggest danger to AI is not AI capability. The single biggest danger to AI adoption is politics." "There will be massive job dislocation. Will there be new kinds of jobs? Maybe, maybe not. I don't know. There's very few things AI won't be able to do today or in the next few years." "I do think we need to get the benefits of AI to people before we start disrupting people." The Hill & Valley Forum 2026 The Hill & Valley Forum

We can be tax neutral and eliminate 125 million people off the tax rolls. Anybody making $100,000 or less doesn't pay any taxes." Vinod Khosla (Vinod Khosla) on how AI could change the tax code forever: AI will favor capital over labor — so equalize the capital gains tax with ordinary income tax. The math works: 40% of capital gains tax is already paid by people making more than $10 million a year. "The single biggest danger to AI is not AI capability. The single biggest danger to AI adoption is politics." "There will be massive job dislocation. Will there be new kinds of jobs? Maybe, maybe not. I don't know. There's very few things AI won't be able to do today or in the next few years." "I do think we need to get the benefits of AI to people before we start disrupting people." The Hill & Valley Forum 2026 The Hill & Valley Forum

The Hill & Valley Forum

44,674 Aufrufe • vor 3 Monaten

Joe Lonsdale: The people in charge of the sociology department at Yale and the education school at Stanford are still god**mn socialists who hate business and are bad for our civilization. But they've learned not to say certain things... A lot of people say, 'Oh, I'm not hearing this stuff anymore. It must be gone.' It's not gone. It's going to come out again as soon as they win. ZUBY: interviews Joe Lonsdale for Real Talk with Zuby Zuby: I feel like there's a change that is happening over the last couple of years with the pendulum starting to swing back. Joe: It's happening in some areas and others. Zuby: How do you see it? Joe: A lot of this, again, is tied to Marxists and socialists who are actively plotting to take over institutions. That's what they've done for the last 60 years. There's the very famous march through the institutions... I thought it was a conspiracy theory when I first heard about it. But it's very clear they've done this very successfully. And you can think of it almost like a virus... In this case, I think the virus has learned to hide itself... A lot of the people who run all of these conquered institutions haven't changed. The people in charge of the sociology department at Yale and the people in charge of the education school at Stanford are still godd*mn socialists who hate businesses and who are bad for our civilization. But they've learned not to say certain things. They've learned not to very publicly and openly say, 'We shouldn't have advanced math anymore,' which is what the education department in general is doing. They're going around getting rid of advanced math for equity purposes... A lot of people say, 'Oh, I'm not hearing this stuff anymore. It must be gone.' It's not frickin gone. It's going to come out again as soon as they win, as soon as they feel like they're safe. But right now they're hiding. I think it's hiding everywhere.

Joe Lonsdale: The people in charge of the sociology department at Yale and the education school at Stanford are still god**mn socialists who hate business and are bad for our civilization. But they've learned not to say certain things... A lot of people say, 'Oh, I'm not hearing this stuff anymore. It must be gone.' It's not gone. It's going to come out again as soon as they win. ZUBY: interviews Joe Lonsdale for Real Talk with Zuby Zuby: I feel like there's a change that is happening over the last couple of years with the pendulum starting to swing back. Joe: It's happening in some areas and others. Zuby: How do you see it? Joe: A lot of this, again, is tied to Marxists and socialists who are actively plotting to take over institutions. That's what they've done for the last 60 years. There's the very famous march through the institutions... I thought it was a conspiracy theory when I first heard about it. But it's very clear they've done this very successfully. And you can think of it almost like a virus... In this case, I think the virus has learned to hide itself... A lot of the people who run all of these conquered institutions haven't changed. The people in charge of the sociology department at Yale and the people in charge of the education school at Stanford are still godd*mn socialists who hate businesses and who are bad for our civilization. But they've learned not to say certain things. They've learned not to very publicly and openly say, 'We shouldn't have advanced math anymore,' which is what the education department in general is doing. They're going around getting rid of advanced math for equity purposes... A lot of people say, 'Oh, I'm not hearing this stuff anymore. It must be gone.' It's not frickin gone. It's going to come out again as soon as they win, as soon as they feel like they're safe. But right now they're hiding. I think it's hiding everywhere.

American Optimist

86,820 Aufrufe • vor 18 Tagen

School Board: Minneapolis (Minneapolis Public Schools) When: June 2026 Topic: Deconstructing enrollment 🤡 I can't make this 💩up if I tried. Board member Lori Norvell challenges us to look at enrollment "in a different way" because we look at things "through the lens of what we know as very white centered, Eurocentric education." What's her suggestion? "I don't know what we might have." She just knows we need to do some deconstructing... "I would challenge us to deconstruct our ideas on that, deconstruct the things that we're comfortable with, and really think about what is best for our Native American students and their families." It's cool though, she hits all the right virtue signal words: - Eurocentric - white centered - deconstruct - harm - comfortable/space I just want all of you reading this to realize 19,774 people voted for Lori, and she holds a board position in a district with ~30k students. It's worth the time really internalizing how crazy that is...

School Board: Minneapolis (Minneapolis Public Schools) When: June 2026 Topic: Deconstructing enrollment 🤡 I can't make this 💩up if I tried. Board member Lori Norvell challenges us to look at enrollment "in a different way" because we look at things "through the lens of what we know as very white centered, Eurocentric education." What's her suggestion? "I don't know what we might have." She just knows we need to do some deconstructing... "I would challenge us to deconstruct our ideas on that, deconstruct the things that we're comfortable with, and really think about what is best for our Native American students and their families." It's cool though, she hits all the right virtue signal words: - Eurocentric - white centered - deconstruct - harm - comfortable/space I just want all of you reading this to realize 19,774 people voted for Lori, and she holds a board position in a district with ~30k students. It's worth the time really internalizing how crazy that is...

Mark Gilson 🌱

45,235 Aufrufe • vor 1 Monat

If you read "The Call of Cthulhu" carefully, and do some research, it's possible to work out the size of the creature encountered by the Emma's crew. The narrator says it's "Cthulhu" but we don't know this for sure. It might have "just" been a starspawn. I've done the math for you in the video below. Cutting to the chase, it turns out that Cthulhu is an exceedingly convenient size for tabletop roleplayers. He is, in fact, the same size with respect to humans that the average gamemaster is with respect to 28mm figures. You can scoop up your players' minis in your green flabby claw and say, "This is Cthulhu's size to you puny mortals. Roll for initiative." Cthulhu doesn't even need to regenerate to shrug off their tiny swords and arrows. A mighty wizard's lightning bolt is like a carpet spark. And if that size isn't enough for you, just take it for granted that the monster in the story wasn't Cthulhu, and the real deal is even bigger. Or you can assume Cthulhu has shrunk during the past 12,000 years (the last time he was out and about, causing the Pleistocene extinction) but will soon bulk larger.

If you read "The Call of Cthulhu" carefully, and do some research, it's possible to work out the size of the creature encountered by the Emma's crew. The narrator says it's "Cthulhu" but we don't know this for sure. It might have "just" been a starspawn. I've done the math for you in the video below. Cutting to the chase, it turns out that Cthulhu is an exceedingly convenient size for tabletop roleplayers. He is, in fact, the same size with respect to humans that the average gamemaster is with respect to 28mm figures. You can scoop up your players' minis in your green flabby claw and say, "This is Cthulhu's size to you puny mortals. Roll for initiative." Cthulhu doesn't even need to regenerate to shrug off their tiny swords and arrows. A mighty wizard's lightning bolt is like a carpet spark. And if that size isn't enough for you, just take it for granted that the monster in the story wasn't Cthulhu, and the real deal is even bigger. Or you can assume Cthulhu has shrunk during the past 12,000 years (the last time he was out and about, causing the Pleistocene extinction) but will soon bulk larger.

Sandy Petersen 🪔

21,388 Aufrufe • vor 7 Monaten

why can't hyperliquid go to $1000? as one of my main positions in crypto right now, i look at it and ask if i want to keep buying here at $40/if i want to sell any i love the product, the blockchain layer makes sense with traditional markets. it's 24/7. but for it reach $1000, let's do some math: currently, it is at a ~$10B market cap, ~$40B fdv. yes, i want us to look at what happens when all tokens are unlocked. that is 25x to ~$1 trillion dollars. for reference, bitcoin is $1–2T eth $400–600B solana peak = ~$300B those are pretty significant coins to "chase." i do think there is a chance, but a few specific things need to happen. 1. hyperliquid becomes THE trading venue > not top 5, not top 3, #1 > onchain binance 2. volume stays insane > whales trust it > traders stick and bring in new ones > liquidity thickens 3. narrative timing > ai + trading narrative > dex > cex shift > regulatory pressure on cex > ct pushing it as the winner 4. unlocks don't kill momentum this is probably what im paying attention to the most. price may get capped even though product is very strong. can demand + usage increase 4x as the supply increases 4x? (this is my main simple question) --------- so do i think hype can reach $1000? i do think there is a chance. but it'll need to be a perfect domino effect. however, hopefully this breakdown can help you determine what you think the future price of it could be. still need to think about it more personally.

why can't hyperliquid go to $1000? as one of my main positions in crypto right now, i look at it and ask if i want to keep buying here at $40/if i want to sell any i love the product, the blockchain layer makes sense with traditional markets. it's 24/7. but for it reach $1000, let's do some math: currently, it is at a ~$10B market cap, ~$40B fdv. yes, i want us to look at what happens when all tokens are unlocked. that is 25x to ~$1 trillion dollars. for reference, bitcoin is $1–2T eth $400–600B solana peak = ~$300B those are pretty significant coins to "chase." i do think there is a chance, but a few specific things need to happen. 1. hyperliquid becomes THE trading venue > not top 5, not top 3, #1 > onchain binance 2. volume stays insane > whales trust it > traders stick and bring in new ones > liquidity thickens 3. narrative timing > ai + trading narrative > dex > cex shift > regulatory pressure on cex > ct pushing it as the winner 4. unlocks don't kill momentum this is probably what im paying attention to the most. price may get capped even though product is very strong. can demand + usage increase 4x as the supply increases 4x? (this is my main simple question) --------- so do i think hype can reach $1000? i do think there is a chance. but it'll need to be a perfect domino effect. however, hopefully this breakdown can help you determine what you think the future price of it could be. still need to think about it more personally.

۟

37,336 Aufrufe • vor 3 Monaten

Terence Tao has an IQ above 200. Youngest gold medalist in Math Olympiad history. Fields Medal winner. The greatest living mathematician by nearly any measure. And he just said something most people aren’t ready for. Tao: “This whole era of AI is teaching us that our idea of what intelligence is, is not really accurate.” We spent centuries building civilization on one assumption. That intelligence was sacred. Irreducible. Uniquely ours. The one thing that made the entire human story make sense. Then AI started solving things we swore only we could. Chess. Language. Vision. Math. And every time, we reached for the same defense. That’s not real intelligence. It’s just tricks. Just pattern matching. Just an algorithm. Tao: “You look at how it’s done and it doesn’t feel like intelligence.” So we moved the line. Again. And again. And again. Because intelligence was supposed to feel like something. Something deep. Something we could point to and say… this is what separates us from everything else. But AI kept solving the problems. And that feeling never arrived. Tao: “We were looking for some elusive, intelligent way of thinking and we don’t see it in the tools that actually solve our goals.” Here’s what makes it worse. Large language models work by predicting the next word. One word at a time. No grand architecture. No deep understanding. Just probability. And it works. Tao: “Maybe that’s actually a lot of what humans do as well.” The greatest living mathematician just told you human thought might run on the same machinery. Not some transcendent spark. Pattern recognition. Prediction. One thought, one decision, one word at a time. We built religion around intelligence. Philosophy around it. An entire species identity around it. And a machine running probability just held up a mirror. We didn’t lose intelligence to AI. We just finally saw what it always was. What haunts us isn’t that machines learned to think. It’s that thinking was never what we needed it to be.

Terence Tao has an IQ above 200. Youngest gold medalist in Math Olympiad history. Fields Medal winner. The greatest living mathematician by nearly any measure. And he just said something most people aren’t ready for. Tao: “This whole era of AI is teaching us that our idea of what intelligence is, is not really accurate.” We spent centuries building civilization on one assumption. That intelligence was sacred. Irreducible. Uniquely ours. The one thing that made the entire human story make sense. Then AI started solving things we swore only we could. Chess. Language. Vision. Math. And every time, we reached for the same defense. That’s not real intelligence. It’s just tricks. Just pattern matching. Just an algorithm. Tao: “You look at how it’s done and it doesn’t feel like intelligence.” So we moved the line. Again. And again. And again. Because intelligence was supposed to feel like something. Something deep. Something we could point to and say… this is what separates us from everything else. But AI kept solving the problems. And that feeling never arrived. Tao: “We were looking for some elusive, intelligent way of thinking and we don’t see it in the tools that actually solve our goals.” Here’s what makes it worse. Large language models work by predicting the next word. One word at a time. No grand architecture. No deep understanding. Just probability. And it works. Tao: “Maybe that’s actually a lot of what humans do as well.” The greatest living mathematician just told you human thought might run on the same machinery. Not some transcendent spark. Pattern recognition. Prediction. One thought, one decision, one word at a time. We built religion around intelligence. Philosophy around it. An entire species identity around it. And a machine running probability just held up a mirror. We didn’t lose intelligence to AI. We just finally saw what it always was. What haunts us isn’t that machines learned to think. It’s that thinking was never what we needed it to be.

Dustin

562,582 Aufrufe • vor 2 Monaten

Next in who after the Ramanujan Series? If Ramanujan was the Source Code, Mudumbai Seshachalu Narasimhan (1932-2021) was the Compiler. He took the raw energy of Indian mathematical intuition & turned it into a formal, global language that even the top physicists in the world now use to explain reality. M.S. Narasimhan (known as MSN) was born into a rural family in Thandarai, Tamil Nadu. MSN was not a fan of the repeat what you are told school system. He was obsessed with extra problems at the end of textbooks that required original thinking. There was no high school in his village. To get an education, he famously traveled several KMs every day on a bullock cart. He ended up at Loyola College, Madras, under Father Racine. Racine realized early MSN was a fearless thinker who could handle the latest French mathematics. In the 1960s, mathematics was split into silos: people who studied shapes (Geometry) did not talk much to people who studied eqns (Algebra). Narasimhan was the man who found a wormhole connecting them & the career defining moment was the "Narasimhan-Seshadri Theorem" (1965). This is the Kohinoor of his career. Working with his lifelong friend C.S. Seshadri, he proved a result so deep it is still taught at every major uni today. They linked Unitary Representations (a complex way of describing symmetries in topology) to Stable Vector Bundles (a way of describing shapes in algebraic geometry). Yrs later, physicists realized this math was exactly what they needed to describe Gauge Theory & Quantum Chromodynamics (the study of how sub-atomic particles stick together). If we ever hear a mathematician talk about the Harder-Narasimhan Filtration, they are referring to a sorting machine MSN co-invented. In complex geometry, some bundles are stable (smooth) & some are unstable (jagged). Narasimhan & Günter Harder proved that every jagged bundle can be perfectly sliced into a unique sequence of smooth ones. This filtration is now used in Number Theory to solve problems that Ramanujan himself might have found fascinating. MSN was famously absent-mindedly brilliant, his wife, Sakuntala (a renowned singer), once recalled that for their honeymoon, MSN packed a suitcase full of Tamil literature & advanced math books. He spent the trip solving eqns be/w sightseeing! A former student recalls playing tennis when MSN walked up & asked, "You have learned a lot of good mathematics, but do you have any mathematical problems to work on?". They spent the next 10 days working day & night to prove a major result in differential geometry. His philosophy was: "Solve the big problem 1st, then worry about the details." MSN is 1 of the most decorated Indian scientists in history: King Faisal International Prize (2006): Often called the Arab Nobel, he won this jointly with Sir Simon Donaldson for his work linking math & physics. FRS & Padma Bhushan: He was elected a Fellow of the Royal Society (1989) & awarded the Padma Bhushan (1990). Chevalier de l'ordre National du Mérite: The French govt knighted him for his work in bridging the Indian & French schools of mathematics. He served as the 1st chair of the National Board for Higher Mathematics & headed the math division at the ICTP in Italy. He made sure that Indian students did not have to leave India to become world-class.

Next in who after the Ramanujan Series? If Ramanujan was the Source Code, Mudumbai Seshachalu Narasimhan (1932-2021) was the Compiler. He took the raw energy of Indian mathematical intuition & turned it into a formal, global language that even the top physicists in the world now use to explain reality. M.S. Narasimhan (known as MSN) was born into a rural family in Thandarai, Tamil Nadu. MSN was not a fan of the repeat what you are told school system. He was obsessed with extra problems at the end of textbooks that required original thinking. There was no high school in his village. To get an education, he famously traveled several KMs every day on a bullock cart. He ended up at Loyola College, Madras, under Father Racine. Racine realized early MSN was a fearless thinker who could handle the latest French mathematics. In the 1960s, mathematics was split into silos: people who studied shapes (Geometry) did not talk much to people who studied eqns (Algebra). Narasimhan was the man who found a wormhole connecting them & the career defining moment was the "Narasimhan-Seshadri Theorem" (1965). This is the Kohinoor of his career. Working with his lifelong friend C.S. Seshadri, he proved a result so deep it is still taught at every major uni today. They linked Unitary Representations (a complex way of describing symmetries in topology) to Stable Vector Bundles (a way of describing shapes in algebraic geometry). Yrs later, physicists realized this math was exactly what they needed to describe Gauge Theory & Quantum Chromodynamics (the study of how sub-atomic particles stick together). If we ever hear a mathematician talk about the Harder-Narasimhan Filtration, they are referring to a sorting machine MSN co-invented. In complex geometry, some bundles are stable (smooth) & some are unstable (jagged). Narasimhan & Günter Harder proved that every jagged bundle can be perfectly sliced into a unique sequence of smooth ones. This filtration is now used in Number Theory to solve problems that Ramanujan himself might have found fascinating. MSN was famously absent-mindedly brilliant, his wife, Sakuntala (a renowned singer), once recalled that for their honeymoon, MSN packed a suitcase full of Tamil literature & advanced math books. He spent the trip solving eqns be/w sightseeing! A former student recalls playing tennis when MSN walked up & asked, "You have learned a lot of good mathematics, but do you have any mathematical problems to work on?". They spent the next 10 days working day & night to prove a major result in differential geometry. His philosophy was: "Solve the big problem 1st, then worry about the details." MSN is 1 of the most decorated Indian scientists in history: King Faisal International Prize (2006): Often called the Arab Nobel, he won this jointly with Sir Simon Donaldson for his work linking math & physics. FRS & Padma Bhushan: He was elected a Fellow of the Royal Society (1989) & awarded the Padma Bhushan (1990). Chevalier de l'ordre National du Mérite: The French govt knighted him for his work in bridging the Indian & French schools of mathematics. He served as the 1st chair of the National Board for Higher Mathematics & headed the math division at the ICTP in Italy. He made sure that Indian students did not have to leave India to become world-class.

Parimal

13,502 Aufrufe • vor 3 Monaten