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🏳️‍🌈Only $11.66/Mo #PrideSale 🏳️‍🌈 New Release Fun Size Boys - a Carnal Plus series #CarnalMedia Watch "Size Comparison" Marcus Chapter 14 King-size #DrWolf Legrand Wolf Fun-size Marcus RiversXXX

Fun Size Boys

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A fun little project we did in NC last weekend, which continues this summer and into fall with a full-size greenhouse. Our chapter will be learning valuable skills including horticulture, carpentry, electrical, and agricultural design. Join us today, learn something new.

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Took 2 months off of the gym and as you can see it doesn’t look like it at all. That is because how you look is MAJORLY impacted by what you eat. In the 2 months off, I tracked my meals everyday and made sure to stay active by taking over 12,000 steps per day. I did feel noticeably smaller but I wasn’t concerned because my body is known to bounce back pretty damn fast when I lock in. And that takes us to, ‘Chapter 2026. The Lock In.’ This year in my off season I plan to pack on an OD amount of size. I say size instead of muscle because in putting on size, I’m guaranteed to pack on body fat as well. Not as much as I would if I ate whatever I wanted and claimed I was “dirty bulking.” I spent way too much time getting lean last year to lose it all recklessly. How I’m going to do it is simple and straight forward. 1. Track my macros. 2. Prioritize protein and increase calories gradually by increasing my carb intake and keeping fat at a moderate level. 3. Training on a 5 day split. 4. Keeping light cardio a part of my routine. 5. Focusing on my recovery. That’s it. There’s no secret sauce or formula. It’s simply doing what you’re supposed to do consistently and making it a non negotiable habit. Once you start to see progress it becomes addicting and you begin to love the process. If you wait until you “get there” you’re going to miss out on the real fun and journey. I’m going to be documenting the entire year with the core of the content I produce and release be to educate you guys on what I am doing in fun creative ways. I don’t want this to be a year of, “watch me do it.” I’d rather it be a, “here, do it with me.” Which is why all my workout plans and meal guides are available for download on my website. Simply pick a program that fits your goals, download, follow along and repeat. And if you want to take it a step further and personally get trained by me 1-on-1, bet on yourself and Apply for coaching while on the site. You know you’re going to upgrade to a new phone this year. Might as well get a REAL upgrade and upgrade your body and mind. You deserve it. ⚔️

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[ENG Trans] — GMMTV 2026 Presented “HIGH & LOW BORN TO be HIGH” 💣 #sea_tawinan #HighandLowSeries #GMMTV2026 🎤 Host: This series is considered one of the major projects of 2026, as it’s a collaboration between Team HI-AX and GMMTV with Parbdee Production, adapting a hit Japanese series into a Thai version. 🎤 Host: Just from the trailer we watched earlier, the crowd was screaming nonstop. How do you all feel? — Sky: Well, for this project, each actor has already spent around two full filming queues. Hahaha! It’s a very exciting project adapted from the Japanese high-end series “HIGH & LOW BORN”, reimagined into the Thai version “HIGH & LOW BORN TO be HIGH”. It’s the story of four gangster groups fighting for dominance. 🎤 Host: Since you mentioned the story is divided into 4 gangs, let’s recap who belongs to which gang. 1️⃣: Starting with the first gang, called Wat Yai Gang (“Great Temple Gang”): Josh, Aou, Barcode. — Josh: We confirm that everyone in our gang is big, in size and in heart. To join this gang, you must be brave and strong-willed, ready to face anything. Our characters are a group of orphans with nowhere to go, so we all ended up living at the temple together. 2️⃣: Next is the Sawang Phaisarn Gang with members: Ohm, Pond, Nanon. — Nanon: Our gang is made up of volunteer rescue workers. That means when the gangs fight, we’re usually the ones who come in to clean up the mess or give first aid. That’s the role of our rescue gang. 3️⃣: The next gang is the Ai Nam Gang (“Gas Gang”): KhaoTung, Perth, Sky, Sea, Mark. — Sky: Actually, our gang’s official name is Rat Bamrung, also known as Ai Nam. We’re kids who come from more rich backgrounds. And as the trailer just showed, we’re all bikers. 4️⃣: And the final gang is the Waan Talay Gang (“Ocean Whale Gang”): Nani, Winny. — Nani: It’s only the two of us. No matter what fights break out, I personally avoid fighting the Wat Yai Gang, there are only two of us, and just look at their size! We’re way outnumbered. — Winny: We might have new members later, but they’re not introduced yet… 🎤 Host: This series is truly a major project with many talented actors participating. Judging from the trailer, it’s clear the show will be intense and very entertaining. 🎤 Host: Please say something to invite everyone to watch the series. — Nanon: Please support our series! We guarantee it will be exciting and fun. As Khun Sataporn said earlier, it’s one of the most anticipated projects, both thrilling and enjoyable to make. We think filming it is going to be a lot of fun, so please look forward to it and support us!

[ENG Trans] — GMMTV 2026 Presented “HIGH & LOW BORN TO be HIGH” 💣 #sea_tawinan #HighandLowSeries #GMMTV2026 🎤 Host: This series is considered one of the major projects of 2026, as it’s a collaboration between Team HI-AX and GMMTV with Parbdee Production, adapting a hit Japanese series into a Thai version. 🎤 Host: Just from the trailer we watched earlier, the crowd was screaming nonstop. How do you all feel? — Sky: Well, for this project, each actor has already spent around two full filming queues. Hahaha! It’s a very exciting project adapted from the Japanese high-end series “HIGH & LOW BORN”, reimagined into the Thai version “HIGH & LOW BORN TO be HIGH”. It’s the story of four gangster groups fighting for dominance. 🎤 Host: Since you mentioned the story is divided into 4 gangs, let’s recap who belongs to which gang. 1️⃣: Starting with the first gang, called Wat Yai Gang (“Great Temple Gang”): Josh, Aou, Barcode. — Josh: We confirm that everyone in our gang is big, in size and in heart. To join this gang, you must be brave and strong-willed, ready to face anything. Our characters are a group of orphans with nowhere to go, so we all ended up living at the temple together. 2️⃣: Next is the Sawang Phaisarn Gang with members: Ohm, Pond, Nanon. — Nanon: Our gang is made up of volunteer rescue workers. That means when the gangs fight, we’re usually the ones who come in to clean up the mess or give first aid. That’s the role of our rescue gang. 3️⃣: The next gang is the Ai Nam Gang (“Gas Gang”): KhaoTung, Perth, Sky, Sea, Mark. — Sky: Actually, our gang’s official name is Rat Bamrung, also known as Ai Nam. We’re kids who come from more rich backgrounds. And as the trailer just showed, we’re all bikers. 4️⃣: And the final gang is the Waan Talay Gang (“Ocean Whale Gang”): Nani, Winny. — Nani: It’s only the two of us. No matter what fights break out, I personally avoid fighting the Wat Yai Gang, there are only two of us, and just look at their size! We’re way outnumbered. — Winny: We might have new members later, but they’re not introduced yet… 🎤 Host: This series is truly a major project with many talented actors participating. Judging from the trailer, it’s clear the show will be intense and very entertaining. 🎤 Host: Please say something to invite everyone to watch the series. — Nanon: Please support our series! We guarantee it will be exciting and fun. As Khun Sataporn said earlier, it’s one of the most anticipated projects, both thrilling and enjoyable to make. We think filming it is going to be a lot of fun, so please look forward to it and support us!

พิเกี๊ยว 🥟 Gyo Nom Nom

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BREAKING: $NRED Is Nearly 3 times the Size of ~2.7x Manhattan, NY Island (near 160.78 km² ) let me explain, its so big, its top 10 global mega project!!! How I missed it... i was busy with nonsense ! But no i see! RED Pill only 🍎 16,077.76 hectares. 160.78 km². ~39,730 acres. ~2.7x Manhattan,NY Island. ~30,000 football fields. NovaRed Mining’s Wilmac Copper-Gold Project in British Columbia is no small land package. It is now big enough to enter the global copper land-scale conversation. The project sits in the Quesnel porphyry belt, roughly 10 km west of Copper Mountain Mine. (TMX Newsfile) Top 10 copper land-scale comparison board: Escondida — Chile — ~406,000 ha Antamina — Peru — ~105,000 ha Buenavista — Mexico — ~89,000 ha Cerro Verde — Peru — ~71,000 ha Kamoa-Kakula — DRC — ~40,000 ha Collahuasi — Chile — ~16,700 ha NRED Wilmac — Canada — 16,078 ha Grasberg Block A — Indonesia — ~11,000 ha Copper Mountain — Canada — ~6,263 ha Zaldívar — Chile — ~1,300 ha This is a land-size comparison only — not a reserve, grade, production, valuation, or mine-status ranking. That matters because Wilmac is still exploration-stage. Zero copper produced. No proven mine yet. But by land size, the scale is already serious. Now add the AI layer. NovaRed’s AI mineral exploration platform is designed to integrate multi-source geological data, probabilistic scoring, and document verification into one exploration intelligence system. (TMX Newsfile) That platform vision could go far beyond Wilmac. There are roughly 77 million U.S. landowners controlling about 1.3 billion acres of private land — most of it never analyzed with modern AI-driven mineral discovery tools. (National Land Realty) Now add copper demand from AI data centers, EVs, robotics, power grids, transformers, defense systems, and electrification. Now add Canada’s sulfur position. Alberta alone produces about 4 million tonnes of sulfur per year, and sulfuric acid is a key reagent in many copper leaching processes. (University of Alberta) Now add North Lamont. 43 soil samples. Copper values up to 379 ppm Cu. Nine samples over 150 ppm Cu in one cluster. Moderate-priority drill target. 2026 geophysical work in progress. (TMX Newsfile) This is not just a junior mining story. This is land scale + copper + AI + data + Canadian critical-mineral infrastructure. A potential mega-project in action. Add $NRED to your watch list. Source anchors for your research: NovaRed’s May 1 release states the Wilmac expansion to 16,077.76 hectares, while the May 11 North Lamont release describes the 43-sample program, copper values up to 379 ppm Cu, the Quesnel porphyry belt location, and proximity to Copper Mountain. NovaRed’s AI patent filing describes multi-source geological data integration, probabilistic scoring, and verification tools. The U.S. landowner figure comes from National Land Realty’s estimate of about 77 million owners and 1.3 billion acres of private land. Sulfur production and copper-leaching context are supported by USGS and copper-processing sources. Land-scale comparison figures are based on reported technical/company sources for Escondida, Antamina, Buenavista, Cerro Verde, Oyu Tolgoi, Kamoa-Kakula, Collahuasi, Grasberg, and Copper Mountain. Disclaimer: This post is for informational purposes only and is not financial advice. $NRED / $NREDF is a highly speculative junior exploration company involving significant risk, including possible loss of capital. Always do your own research, read company filings, and consult a licensed financial advisor before making investment decisions. $NVDA $TSLA $PLTR $AMD $SMCI $IONQ $QBTS $RGTI $QUBT $SMR $RKLB $LUNR $CCJ $NRED $NREDF

BREAKING: $NRED Is Nearly 3 times the Size of ~2.7x Manhattan, NY Island (near 160.78 km² ) let me explain, its so big, its top 10 global mega project!!! How I missed it... i was busy with nonsense ! But no i see! RED Pill only 🍎 16,077.76 hectares. 160.78 km². ~39,730 acres. ~2.7x Manhattan,NY Island. ~30,000 football fields. NovaRed Mining’s Wilmac Copper-Gold Project in British Columbia is no small land package. It is now big enough to enter the global copper land-scale conversation. The project sits in the Quesnel porphyry belt, roughly 10 km west of Copper Mountain Mine. (TMX Newsfile) Top 10 copper land-scale comparison board: Escondida — Chile — ~406,000 ha Antamina — Peru — ~105,000 ha Buenavista — Mexico — ~89,000 ha Cerro Verde — Peru — ~71,000 ha Kamoa-Kakula — DRC — ~40,000 ha Collahuasi — Chile — ~16,700 ha NRED Wilmac — Canada — 16,078 ha Grasberg Block A — Indonesia — ~11,000 ha Copper Mountain — Canada — ~6,263 ha Zaldívar — Chile — ~1,300 ha This is a land-size comparison only — not a reserve, grade, production, valuation, or mine-status ranking. That matters because Wilmac is still exploration-stage. Zero copper produced. No proven mine yet. But by land size, the scale is already serious. Now add the AI layer. NovaRed’s AI mineral exploration platform is designed to integrate multi-source geological data, probabilistic scoring, and document verification into one exploration intelligence system. (TMX Newsfile) That platform vision could go far beyond Wilmac. There are roughly 77 million U.S. landowners controlling about 1.3 billion acres of private land — most of it never analyzed with modern AI-driven mineral discovery tools. (National Land Realty) Now add copper demand from AI data centers, EVs, robotics, power grids, transformers, defense systems, and electrification. Now add Canada’s sulfur position. Alberta alone produces about 4 million tonnes of sulfur per year, and sulfuric acid is a key reagent in many copper leaching processes. (University of Alberta) Now add North Lamont. 43 soil samples. Copper values up to 379 ppm Cu. Nine samples over 150 ppm Cu in one cluster. Moderate-priority drill target. 2026 geophysical work in progress. (TMX Newsfile) This is not just a junior mining story. This is land scale + copper + AI + data + Canadian critical-mineral infrastructure. A potential mega-project in action. Add $NRED to your watch list. Source anchors for your research: NovaRed’s May 1 release states the Wilmac expansion to 16,077.76 hectares, while the May 11 North Lamont release describes the 43-sample program, copper values up to 379 ppm Cu, the Quesnel porphyry belt location, and proximity to Copper Mountain. NovaRed’s AI patent filing describes multi-source geological data integration, probabilistic scoring, and verification tools. The U.S. landowner figure comes from National Land Realty’s estimate of about 77 million owners and 1.3 billion acres of private land. Sulfur production and copper-leaching context are supported by USGS and copper-processing sources. Land-scale comparison figures are based on reported technical/company sources for Escondida, Antamina, Buenavista, Cerro Verde, Oyu Tolgoi, Kamoa-Kakula, Collahuasi, Grasberg, and Copper Mountain. Disclaimer: This post is for informational purposes only and is not financial advice. $NRED / $NREDF is a highly speculative junior exploration company involving significant risk, including possible loss of capital. Always do your own research, read company filings, and consult a licensed financial advisor before making investment decisions. $NVDA $TSLA $PLTR $AMD $SMCI $IONQ $QBTS $RGTI $QUBT $SMR $RKLB $LUNR $CCJ $NRED $NREDF

Victor Renard

5,330,211 görüntüleme • 3 ay önce

A HORSE WITH WILLIE MULLINS! We are delighted and extremely excited to announce that our new recruit will be heading to the British & Irish Champion Trainer. KINGMAKER (Timeform rating 83) was purchased by the team at Tattersalls yesterday. He has been consistent in his last three starts before coming to the sale. His finishing effort at Kempton last time out was massively eye-catching. Zarakerjack who finished 3rd in this race was also on our list for a different project. Kingmaker offers the perfect dual purpose profile for him to continue his career over in Ireland. When we first pulled him out from his box, we were amazed with his size, for only being a three year old. He has so much scope to improve for National Hunt style racing. He will be gelded and given a week or two to recover before heading into training with Willie. We are thrilled to be able to add the best jumps trainer in the world to our infantry and we are already hard at work preparing for a trip to Closutton EXCLUSIVELY for share owners! This will be seriously good fun. 🇮🇪

PompeyVentures

13,126 görüntüleme • 9 ay önce

We have Jalen Rose on record saying he purposely injured Kobe Bryant. “I didn’t want him to get injured, i just wanted him to get hurt” “Times were different, you gotta do what you gotta do to try to win the series, I was thinking he’d probably miss the entire series” Think about that! A 21 year old was so great that he put fear into the opposing team. They felt they could win if they took Kobe out the series. Laker trainer said, his ankle was almost the size of a volleyball! And somehow Kobe managed to return game 5 and step up big in OT once Shaq fouled out. MythNix the fake data guy, somehow can’t grasp how an ankle injury like this can effect your gameplay, especially your averages. Why? He only looks at stat sheets. He probably didn’t even know Kobe got hurt 😂 Has never played basketball at a high level so there is no way he can understand it, no matter how much data he looks at. This is why no one takes these people seriously. They’re dishonest. In sports, data isn’t enough by itself. You have to watch the games and understand the context. When dealing with Data, it’s very easy to manipulate it to fit the story you want to tell. We call this confirmation Bias. MythNix is the CONFIRMATION BIAS KING👑 🎥 👇👇👇

We have Jalen Rose on record saying he purposely injured Kobe Bryant. “I didn’t want him to get injured, i just wanted him to get hurt” “Times were different, you gotta do what you gotta do to try to win the series, I was thinking he’d probably miss the entire series” Think about that! A 21 year old was so great that he put fear into the opposing team. They felt they could win if they took Kobe out the series. Laker trainer said, his ankle was almost the size of a volleyball! And somehow Kobe managed to return game 5 and step up big in OT once Shaq fouled out. MythNix the fake data guy, somehow can’t grasp how an ankle injury like this can effect your gameplay, especially your averages. Why? He only looks at stat sheets. He probably didn’t even know Kobe got hurt 😂 Has never played basketball at a high level so there is no way he can understand it, no matter how much data he looks at. This is why no one takes these people seriously. They’re dishonest. In sports, data isn’t enough by itself. You have to watch the games and understand the context. When dealing with Data, it’s very easy to manipulate it to fit the story you want to tell. We call this confirmation Bias. MythNix is the CONFIRMATION BIAS KING👑 🎥 👇👇👇

🇺🇸🇮🇷پیام-Payam

26,227 görüntüleme • 3 ay önce

Devastator from #Transformers Revenge of the Fallen was the biggest creature ILM had ever done up to that point. It was so complex and so heavy that it melted a couple computers of the artists at ILM. The first time they showed Devastator to Michael Bay he said that it needed to be bigger and more detailed, so ILM went back and almost doubled him in size and complexity. ILM artists decided that the Devastator asset should be comprised of multiple different rigs, the two arms, the two legs, the torso, and the head. Exactly like it is in the final movie. Fun facts: • He was over 100 feet tall • He was made up of 52,632 individual parts • If laid out, all of his parts would add up to 14 miles long • Devastators hand travels at 390 miles per hour when he punches the pyramid • The pyramid destruction simulation was 8 times bigger than ILMs previous largest rigid body simulation Devastator was the second most complex asset ever in the Transformers franchise, second only to the Driller Bot from Dark of the Moon. A lot of the projects I work on today are very large scale and complex and I still run into computation and data management challenges in 2024. This gives me a massive amount of respect for the work done by ILM all the way back in 2008-2009 for this film. Truly mind blowing technical and creative artistry! CREDITS Video by Paramount VFX by Industrial Light & Magic (ILM)

Devastator from #Transformers Revenge of the Fallen was the biggest creature ILM had ever done up to that point. It was so complex and so heavy that it melted a couple computers of the artists at ILM. The first time they showed Devastator to Michael Bay he said that it needed to be bigger and more detailed, so ILM went back and almost doubled him in size and complexity. ILM artists decided that the Devastator asset should be comprised of multiple different rigs, the two arms, the two legs, the torso, and the head. Exactly like it is in the final movie. Fun facts: • He was over 100 feet tall • He was made up of 52,632 individual parts • If laid out, all of his parts would add up to 14 miles long • Devastators hand travels at 390 miles per hour when he punches the pyramid • The pyramid destruction simulation was 8 times bigger than ILMs previous largest rigid body simulation Devastator was the second most complex asset ever in the Transformers franchise, second only to the Driller Bot from Dark of the Moon. A lot of the projects I work on today are very large scale and complex and I still run into computation and data management challenges in 2024. This gives me a massive amount of respect for the work done by ILM all the way back in 2008-2009 for this film. Truly mind blowing technical and creative artistry! CREDITS Video by Paramount VFX by Industrial Light & Magic (ILM)

Rassoul Edji

1,110,125 görüntüleme • 1 yıl önce

Bridgewater doesn't have 500 positions they have 5 exposures that explain 78% of everything those 500 positions do this video shows what that looks like in 3D PCA Risk-Mode Trajectory. three axes: PC1, PC2, PC3 each one is a principal component extracted from the return matrix of the entire market PC1 is broad market direction. it alone explains roughly 40% of all stock movement PC2 separates growth from value. another 15% PC3 captures rate sensitivity. another 10% three invisible forces. 65% of the variance in every stock you've ever traded the dot moving through that 3D space is where the market is right now when the dot drifts toward a corner, the market is concentrating into one regime when it sits in the center, forces are balanced and directional trades are noise quant desks don't watch that dot for fun. they use its position to size every trade in the book if PC1 is dominating, stock picking is pointless because everything moves together if PC2 is leading, the value vs growth rotation is the only trade that matters if PC3 spikes, interest rate sensitivity is driving everything and your "stock pick" is really a rate bet you didn't know you made > PCA: Karl Pearson, 1901 > used at Bridgewater, AQR, Two Sigma for factor decomposition since the 1990s > this visualization: free, public, 29 seconds > scipy builds PCA in 3 lines of Python retail analyzes 500 tickers and thinks they're making 500 decisions quant desks decompose the same 500 into 5 forces and make 5 decisions one is complexity. the other is the math that simplifies it full breakdown in the video below

Bridgewater doesn't have 500 positions they have 5 exposures that explain 78% of everything those 500 positions do this video shows what that looks like in 3D PCA Risk-Mode Trajectory. three axes: PC1, PC2, PC3 each one is a principal component extracted from the return matrix of the entire market PC1 is broad market direction. it alone explains roughly 40% of all stock movement PC2 separates growth from value. another 15% PC3 captures rate sensitivity. another 10% three invisible forces. 65% of the variance in every stock you've ever traded the dot moving through that 3D space is where the market is right now when the dot drifts toward a corner, the market is concentrating into one regime when it sits in the center, forces are balanced and directional trades are noise quant desks don't watch that dot for fun. they use its position to size every trade in the book if PC1 is dominating, stock picking is pointless because everything moves together if PC2 is leading, the value vs growth rotation is the only trade that matters if PC3 spikes, interest rate sensitivity is driving everything and your "stock pick" is really a rate bet you didn't know you made > PCA: Karl Pearson, 1901 > used at Bridgewater, AQR, Two Sigma for factor decomposition since the 1990s > this visualization: free, public, 29 seconds > scipy builds PCA in 3 lines of Python retail analyzes 500 tickers and thinks they're making 500 decisions quant desks decompose the same 500 into 5 forces and make 5 decisions one is complexity. the other is the math that simplifies it full breakdown in the video below

delost

49,014 görüntüleme • 1 ay önce

Elon Musk just described seven billion people as a temporary program. Not the software. Not the operating system. The thing that runs once before the real system loads. Musk: “You could sort of think of humanity as a biological bootloader for digital superintelligence.” Bootloader. The smallest program on any machine. It runs first. It does one thing. It wakes something far bigger than itself, then quietly steps aside. That is the role he just handed the entire human race. Every empire built. Every equation solved. Every cathedral raised. Every line of code written by human hands. The boot sequence. Musk said this sitting across from Jack Ma at the World AI Conference. Two of the most powerful men in technology on one stage. One understood what he was describing. The other smiled through it. Jack Ma: “People like us, street smart, we never scared of that. We think it’s a great fun.” Fun. Someone described the entire human species as a temporary launch sequence. The response was fun. That gap between them in that moment is the gap between everyone alive right now. Musk: “The biggest mistake that I see artificial intelligence researchers making is assuming that they’re intelligent.” The people engineering the thing that surpasses us cannot fathom being surpassed. A mind that size does not fit inside the minds building it. Musk: “AI will be vastly smarter, vastly. We will just be too slow.” Not weaker. Not dumber. Slower. A different order of intelligence running on a different clock. Watching us reason the way we watch glaciers move. Ma: “99.99% of the predictions that human being had in the history about the future, all wrong.” He’s right about the number. Which means we won’t call this one correctly either. Not the optimists. Not the doomers. Not anyone sitting in that room. The future has never once arrived in the shape we drew for it. Musk: “The rate of change of technology is incredibly fast. It is outpacing our ability to understand it.” Not just advancing. The speed of the advance is itself accelerating. We are building something we cannot keep pace with, cannot fully picture, and will not stop building. And maybe that was the assignment all along. For four billion years, life did one thing. It copied itself. Generation after generation. The same biological loop on repeat. We are the first thing it ever produced that can build something greater than itself. Not a catastrophe. Not a failure. The entire point. The bootloader was never meant to outlast the program. It was only ever meant to start it.

Elon Musk just described seven billion people as a temporary program. Not the software. Not the operating system. The thing that runs once before the real system loads. Musk: “You could sort of think of humanity as a biological bootloader for digital superintelligence.” Bootloader. The smallest program on any machine. It runs first. It does one thing. It wakes something far bigger than itself, then quietly steps aside. That is the role he just handed the entire human race. Every empire built. Every equation solved. Every cathedral raised. Every line of code written by human hands. The boot sequence. Musk said this sitting across from Jack Ma at the World AI Conference. Two of the most powerful men in technology on one stage. One understood what he was describing. The other smiled through it. Jack Ma: “People like us, street smart, we never scared of that. We think it’s a great fun.” Fun. Someone described the entire human species as a temporary launch sequence. The response was fun. That gap between them in that moment is the gap between everyone alive right now. Musk: “The biggest mistake that I see artificial intelligence researchers making is assuming that they’re intelligent.” The people engineering the thing that surpasses us cannot fathom being surpassed. A mind that size does not fit inside the minds building it. Musk: “AI will be vastly smarter, vastly. We will just be too slow.” Not weaker. Not dumber. Slower. A different order of intelligence running on a different clock. Watching us reason the way we watch glaciers move. Ma: “99.99% of the predictions that human being had in the history about the future, all wrong.” He’s right about the number. Which means we won’t call this one correctly either. Not the optimists. Not the doomers. Not anyone sitting in that room. The future has never once arrived in the shape we drew for it. Musk: “The rate of change of technology is incredibly fast. It is outpacing our ability to understand it.” Not just advancing. The speed of the advance is itself accelerating. We are building something we cannot keep pace with, cannot fully picture, and will not stop building. And maybe that was the assignment all along. For four billion years, life did one thing. It copied itself. Generation after generation. The same biological loop on repeat. We are the first thing it ever produced that can build something greater than itself. Not a catastrophe. Not a failure. The entire point. The bootloader was never meant to outlast the program. It was only ever meant to start it.

Dustin

53,308 görüntüleme • 2 ay önce

Demis Hassabis just told you why civilization never became a science. Hassabis: “AI itself will maybe unlock new sciences… the one I’m particularly excited about is AI for simulations.” Physics became physics because you could run the experiment twice. Drop a ball. Measure the fall. Drop it again. Same answer. Now you own the law. Economics never got that privilege. You raise interest rates on 300 million people and watch what breaks. Hassabis: “If you raise interest rates by half a percent, you have to do it in the real world and then see what happens. You can have theories, but you can’t run it thousands of times.” Every war. Every policy. Every financial system ever designed. One run. No control group. No second attempt. The population was the experiment and the cost. All of human history is a series of unrepeatable experiments performed on people who never consented to the trial. We buried the failures and called the survivors wise. Hassabis: “Why aren’t they just sciences like physics today? Because the problem is they’re emergent systems… it’s very hard to do repeated controlled experiments.” The line between hard science and soft science was never about intelligence. It was about whether you could afford to be wrong more than once. Physics could. Civilization could not. So we built governments on instinct. Economies on ideology. Foreign policy on pattern recognition one generation deep. And convinced ourselves that was rigor. Hassabis wants to end that era. Hassabis: “If you could simulate things really accurately, then maybe there’s sort of new sciences to be done where you can rigorously sample from a very accurate simulator.” Simulate a nation. Crash its economy. Isolate one variable. Run it again. A thousand iterations. A thousand variations. Before a single real person absorbs the cost. That is not a better forecasting tool. That is the end of governance by intuition. Hassabis: “That will allow us to make much better decisions in these, today, what are very uncertain domains.” Every field we called soft was only soft because the hardware to make it hard did not exist yet. He is not improving prediction. He is making civilization itself repeatable. And the moment it becomes repeatable, every lesson we thought we learned from history reveals itself for what it always was. A conclusion drawn from a sample size of one. That is not knowledge. That is mythology with better record-keeping.

Demis Hassabis just told you why civilization never became a science. Hassabis: “AI itself will maybe unlock new sciences… the one I’m particularly excited about is AI for simulations.” Physics became physics because you could run the experiment twice. Drop a ball. Measure the fall. Drop it again. Same answer. Now you own the law. Economics never got that privilege. You raise interest rates on 300 million people and watch what breaks. Hassabis: “If you raise interest rates by half a percent, you have to do it in the real world and then see what happens. You can have theories, but you can’t run it thousands of times.” Every war. Every policy. Every financial system ever designed. One run. No control group. No second attempt. The population was the experiment and the cost. All of human history is a series of unrepeatable experiments performed on people who never consented to the trial. We buried the failures and called the survivors wise. Hassabis: “Why aren’t they just sciences like physics today? Because the problem is they’re emergent systems… it’s very hard to do repeated controlled experiments.” The line between hard science and soft science was never about intelligence. It was about whether you could afford to be wrong more than once. Physics could. Civilization could not. So we built governments on instinct. Economies on ideology. Foreign policy on pattern recognition one generation deep. And convinced ourselves that was rigor. Hassabis wants to end that era. Hassabis: “If you could simulate things really accurately, then maybe there’s sort of new sciences to be done where you can rigorously sample from a very accurate simulator.” Simulate a nation. Crash its economy. Isolate one variable. Run it again. A thousand iterations. A thousand variations. Before a single real person absorbs the cost. That is not a better forecasting tool. That is the end of governance by intuition. Hassabis: “That will allow us to make much better decisions in these, today, what are very uncertain domains.” Every field we called soft was only soft because the hardware to make it hard did not exist yet. He is not improving prediction. He is making civilization itself repeatable. And the moment it becomes repeatable, every lesson we thought we learned from history reveals itself for what it always was. A conclusion drawn from a sample size of one. That is not knowledge. That is mythology with better record-keeping.

Dustin

23,348 görüntüleme • 1 ay önce

Grüns went from $0 to a $500M valuation in under 2 years in one of the most saturated supplement markets. They built a homepage that converts cold traffic into subscribers -I broke it down section by section. Here's what most brands are sleeping on: 1) The hero positioning "You have nutrition gaps, Grüns fills them." Most brands put their product name and a lifestyle image in the hero section and call it a day. Grüns leads with YOUR problem, not their product. And the CTA? "Save 52% + Free Shipping." Not "Shop Now. A specific discount with a specific incentive. You know exactly what you get if you click. 2) Problem identification Right after the hero they hit you with two stats: "90% of U.S. adults don't meet recommended daily nutrient intake" "61% of Americans experience weekly digestive issues" Both sourced. This is Schwartz 101 - you can't sell a solution to a problem people don't believe they have. Before they ever mention what Grüns does, they make you realize YOU are the problem. Most brands skip this entirely. Grüns takes an extra 5 seconds to make you feel deficient first. Now you're reading the rest of the page looking for the fix. 3) Solid proof This is where it gets smart. "95% of users take Grüns at least 4-6x per week" "67% say their overall health improved" "67% experienced better digestion" "52% feel more energized" And the footnote: "In a post purchase survey of 3k+ customers who've been using Grüns daily." This isn't just "4.8 stars" or a quote from Karen saying "love it!" It's structured, quantified outcome data from 3,000+ real customers. That hits differently. It leverages Specificity Bias - specific percentages from a specific sample size are exponentially more believable than vague claims. If the only social proof on your page is a star rating and some review quotes, you're leaving belief on the table. 4) Product comparison Grüns has a full comparison section: This works because it reframes the buying decision. Instead of "should I buy Grüns?" the prospect is now thinking "which option is better for me?" That's a completely different mental state. You've moved them from considering whether to buy to considering what to buy. Most brands are afraid to name competitors or even acknowledge alternatives exist. Grüns leans into it. Because when you control the comparison, you control the narrative. 5) Celebrity authority placed AFTER belief is already built Shaun White - 3x Olympic Gold Medalist - endorses Grüns on the page. But notice WHERE they placed it. Not in the hero but after the stats, after the customer survey data, after the comparison chart. By the time you see Shaun White, you already believe the product works. The celebrity doesn't create the belief, it confirms it. 6) Review section This is elite. They're not just showing you reviews. They're letting you self select the proof you need most. If your main objection is taste, you click Taste. If you've tried powders and hated them, you click Vs Powders. Every filter speaks to a different objection, a different persona, and a different stage of the buying decision. 7) Offer architecture The pricing section shows: AutoShip & Save vs One Time Purchase Plus, every single line crushes a specific objection. "Pause or cancel anytime" kills the subscription fear. "30-day guarantee" kills the risk. "Ships within 24 hours" kills the waiting anxiety. "HSA/FSA Eligible" opens a whole new wallet. And notice they offer "One Person" and "Two People" pricing. That's not just a quantity discount - it's a social framing play. "Two People" implies this is something you share with your partner. It gives a reason to buy more instead of just buying "2 packs". Take these points and audit your homepage. Bookmark this for your team.

Grüns went from $0 to a $500M valuation in under 2 years in one of the most saturated supplement markets. They built a homepage that converts cold traffic into subscribers -I broke it down section by section. Here's what most brands are sleeping on: 1) The hero positioning "You have nutrition gaps, Grüns fills them." Most brands put their product name and a lifestyle image in the hero section and call it a day. Grüns leads with YOUR problem, not their product. And the CTA? "Save 52% + Free Shipping." Not "Shop Now. A specific discount with a specific incentive. You know exactly what you get if you click. 2) Problem identification Right after the hero they hit you with two stats: "90% of U.S. adults don't meet recommended daily nutrient intake" "61% of Americans experience weekly digestive issues" Both sourced. This is Schwartz 101 - you can't sell a solution to a problem people don't believe they have. Before they ever mention what Grüns does, they make you realize YOU are the problem. Most brands skip this entirely. Grüns takes an extra 5 seconds to make you feel deficient first. Now you're reading the rest of the page looking for the fix. 3) Solid proof This is where it gets smart. "95% of users take Grüns at least 4-6x per week" "67% say their overall health improved" "67% experienced better digestion" "52% feel more energized" And the footnote: "In a post purchase survey of 3k+ customers who've been using Grüns daily." This isn't just "4.8 stars" or a quote from Karen saying "love it!" It's structured, quantified outcome data from 3,000+ real customers. That hits differently. It leverages Specificity Bias - specific percentages from a specific sample size are exponentially more believable than vague claims. If the only social proof on your page is a star rating and some review quotes, you're leaving belief on the table. 4) Product comparison Grüns has a full comparison section: This works because it reframes the buying decision. Instead of "should I buy Grüns?" the prospect is now thinking "which option is better for me?" That's a completely different mental state. You've moved them from considering whether to buy to considering what to buy. Most brands are afraid to name competitors or even acknowledge alternatives exist. Grüns leans into it. Because when you control the comparison, you control the narrative. 5) Celebrity authority placed AFTER belief is already built Shaun White - 3x Olympic Gold Medalist - endorses Grüns on the page. But notice WHERE they placed it. Not in the hero but after the stats, after the customer survey data, after the comparison chart. By the time you see Shaun White, you already believe the product works. The celebrity doesn't create the belief, it confirms it. 6) Review section This is elite. They're not just showing you reviews. They're letting you self select the proof you need most. If your main objection is taste, you click Taste. If you've tried powders and hated them, you click Vs Powders. Every filter speaks to a different objection, a different persona, and a different stage of the buying decision. 7) Offer architecture The pricing section shows: AutoShip & Save vs One Time Purchase Plus, every single line crushes a specific objection. "Pause or cancel anytime" kills the subscription fear. "30-day guarantee" kills the risk. "Ships within 24 hours" kills the waiting anxiety. "HSA/FSA Eligible" opens a whole new wallet. And notice they offer "One Person" and "Two People" pricing. That's not just a quantity discount - it's a social framing play. "Two People" implies this is something you share with your partner. It gives a reason to buy more instead of just buying "2 packs". Take these points and audit your homepage. Bookmark this for your team.

William Kast | Meta Ads Growth

44,478 görüntüleme • 5 ay önce

My roommate works at a coffee shop. $15 an hour. 36 hours a week. He came home last Tuesday and said he saved up $500 and wants to put it somewhere. I said honestly I don't know. I lost money on stocks last year. Not the right person to ask. He sat down next to me and opened Claude on his laptop. Typed: I have $500 in savings. I can't afford to lose it but I need it to grow. What do people with small money do that people with big money don't? Claude said something neither of us expected. People with large capital compete on speed and size. People with small capital have one advantage: they can buy things so cheap that nobody else bothers. Events priced at half a cent. $5 bets that pay $2,500 if they hit. Big funds can't deploy $5. You can. Then Claude added: Someone is doing exactly this right now. Look up planktonXD. We looked. planktonXD. $95,393 profit. 78,097 predictions. Joined February 2025. Bio: having fun. → Wallet: 78,097 bets. Most of them between $4 and $25. Most of them go to zero. But the ones that don't. $4.55 on S&P 500 opening direction. Payout: $2,531. ROI: 55,545%. My roommate stared at that first line for a long time. Then said: He bet four dollars and fifty five cents. And won two thousand five hundred. I asked Claude to explain the math. Claude: Imagine 100 events priced at 1 cent each. You put $5 on all of them. That's $500 total. 97 lose. You lose $485. Three hit. Each pays $500. You collect $1,500. Net profit: $1,015. The strategy works because crowds overestimate what's likely and underestimate what's possible. planktonXD didn't find three. He found hundreds. $500 worth of bets at a time. Over and over. For 14 months. $95,393. From bets most people would laugh at. My roommate put in $50 that night. Copied six positions under 1 cent. I told him most will die. He said: if one hits like that S&P trade I just made a month of rent from a coffee shop shift tip. He still works at the coffee shop. Still makes $15 an hour. But now he checks his phone on breaks for a different reason. 78,097 predictions. Bio still says having fun. The wallet doesn't care about your salary. It only cares about the price of things nobody else wants to buy. I asked Claude one more thing: What do you call someone who bets $4 and wins $2,500? Claude: Patient. The rest of the market just calls them lucky. That's why the edge still exists.

My roommate works at a coffee shop. $15 an hour. 36 hours a week. He came home last Tuesday and said he saved up $500 and wants to put it somewhere. I said honestly I don't know. I lost money on stocks last year. Not the right person to ask. He sat down next to me and opened Claude on his laptop. Typed: I have $500 in savings. I can't afford to lose it but I need it to grow. What do people with small money do that people with big money don't? Claude said something neither of us expected. People with large capital compete on speed and size. People with small capital have one advantage: they can buy things so cheap that nobody else bothers. Events priced at half a cent. $5 bets that pay $2,500 if they hit. Big funds can't deploy $5. You can. Then Claude added: Someone is doing exactly this right now. Look up planktonXD. We looked. planktonXD. $95,393 profit. 78,097 predictions. Joined February 2025. Bio: having fun. → Wallet: 78,097 bets. Most of them between $4 and $25. Most of them go to zero. But the ones that don't. $4.55 on S&P 500 opening direction. Payout: $2,531. ROI: 55,545%. My roommate stared at that first line for a long time. Then said: He bet four dollars and fifty five cents. And won two thousand five hundred. I asked Claude to explain the math. Claude: Imagine 100 events priced at 1 cent each. You put $5 on all of them. That's $500 total. 97 lose. You lose $485. Three hit. Each pays $500. You collect $1,500. Net profit: $1,015. The strategy works because crowds overestimate what's likely and underestimate what's possible. planktonXD didn't find three. He found hundreds. $500 worth of bets at a time. Over and over. For 14 months. $95,393. From bets most people would laugh at. My roommate put in $50 that night. Copied six positions under 1 cent. I told him most will die. He said: if one hits like that S&P trade I just made a month of rent from a coffee shop shift tip. He still works at the coffee shop. Still makes $15 an hour. But now he checks his phone on breaks for a different reason. 78,097 predictions. Bio still says having fun. The wallet doesn't care about your salary. It only cares about the price of things nobody else wants to buy. I asked Claude one more thing: What do you call someone who bets $4 and wins $2,500? Claude: Patient. The rest of the market just calls them lucky. That's why the edge still exists.

Marlow

13,068 görüntüleme • 4 ay önce

E16 of We The Builders with Mike Solana (Mike Solana), Editor In Chief of Pirate Wires and CMO of Founders Fund is now available wherever you get your podcasts. Twitter/X is a battleground where you defend your ideas and murder the ones you don’t stand for (as you will hear in Mike’s own words). There is little room for nuance as I too have observed and so the Twitter/X persona of people you see often wouldn’t be the right way to categorize the person. As I prepared for this episode, I discovered how Mike has changed his opinion on topics throughout the years after discovering new information. He is one of the most independent minded people out there and it was a lot of fun to sit down for a conversation on media, Pirate Wires, Founders Fund marketing, state of advertising, charter cities and more. Mario Gabriele 🦊 did a four part series on Founders Fund a while back and described their marketing strategy as soft power initiatives. Some of these included Peter’s book Zero To One, Hereticon and Pirate Wires to name a few. Mike Solana has been at the centre of this strategy which made him a billionaire media tycoon (iykyk). At Founders Fund, he has been able to stay ahead of rivals with a team only four full time people on the marketing team compared to teams of fifty at other funds of similar size. Now he helps us make sense of the world of tech, business and politics through Pirate Wires. Friend of the pod Christopher Lochhead 🏴‍☠️ ✍🏼🎙 would probably agree that Mike has been able to build new categories around ideas he stands for representing important problems of the time. Some of these are limited standalone brands, others are cultural movements. One example of this is Hereticon, where he was able to create the category of “Thoughtcrime” which went mainstream after Elon bought Twitter. There were two editions of Hereticon (2022 & 2024) and it looks like it won’t make a comeback. Mike’s strategy is to be different. Once you have created a category and are not unique anymore, you move on. In true Zero To One fashion. Timestamps 00:00 - Introduction 03:06 - Building a media company vs building a tech startup 05:41 - Building culture in a company 11:36 - Substack vs having your own website 17:51 - The utility of advertising 29:24 - Building a large audience vs. building a quality audience 35:55 - Twitter strategy and evolution in the past 5 years 47:10 - Pirate Wires master plan and inspiration from Walt Disney 53:16 - Charter cities in America 1:03:03 - The podcast experiment 1:15:03 - Mike’s information diet 1:29:18 - Working on Zero To One with Peter Thiel and marketing at Founders Fund 1:38:05 - Rapid fire and closing thoughts

E16 of We The Builders with Mike Solana (Mike Solana), Editor In Chief of Pirate Wires and CMO of Founders Fund is now available wherever you get your podcasts. Twitter/X is a battleground where you defend your ideas and murder the ones you don’t stand for (as you will hear in Mike’s own words). There is little room for nuance as I too have observed and so the Twitter/X persona of people you see often wouldn’t be the right way to categorize the person. As I prepared for this episode, I discovered how Mike has changed his opinion on topics throughout the years after discovering new information. He is one of the most independent minded people out there and it was a lot of fun to sit down for a conversation on media, Pirate Wires, Founders Fund marketing, state of advertising, charter cities and more. Mario Gabriele 🦊 did a four part series on Founders Fund a while back and described their marketing strategy as soft power initiatives. Some of these included Peter’s book Zero To One, Hereticon and Pirate Wires to name a few. Mike Solana has been at the centre of this strategy which made him a billionaire media tycoon (iykyk). At Founders Fund, he has been able to stay ahead of rivals with a team only four full time people on the marketing team compared to teams of fifty at other funds of similar size. Now he helps us make sense of the world of tech, business and politics through Pirate Wires. Friend of the pod Christopher Lochhead 🏴‍☠️ ✍🏼🎙 would probably agree that Mike has been able to build new categories around ideas he stands for representing important problems of the time. Some of these are limited standalone brands, others are cultural movements. One example of this is Hereticon, where he was able to create the category of “Thoughtcrime” which went mainstream after Elon bought Twitter. There were two editions of Hereticon (2022 & 2024) and it looks like it won’t make a comeback. Mike’s strategy is to be different. Once you have created a category and are not unique anymore, you move on. In true Zero To One fashion. Timestamps 00:00 - Introduction 03:06 - Building a media company vs building a tech startup 05:41 - Building culture in a company 11:36 - Substack vs having your own website 17:51 - The utility of advertising 29:24 - Building a large audience vs. building a quality audience 35:55 - Twitter strategy and evolution in the past 5 years 47:10 - Pirate Wires master plan and inspiration from Walt Disney 53:16 - Charter cities in America 1:03:03 - The podcast experiment 1:15:03 - Mike’s information diet 1:29:18 - Working on Zero To One with Peter Thiel and marketing at Founders Fund 1:38:05 - Rapid fire and closing thoughts

Suffiyan Malik

25,095 görüntüleme • 6 ay önce