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That crush from work that is secretly a BBC size queen....♠️ 🍆📏 SIZE WINS 🍆📏 #sph #sizematters #bigdick #nsfwtwt #sex #sizequeen #hugecock #cuckold #smallpenis #exhibitionism #publicsex #cheating #hotwife #bbc #bnwo

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The BBC ran schools gender guidance as second story, with the Education Editor, Branwen Jeffreys, on national bulletin at Six. Quite something. Ending the Identity Hub’s gatekeeping of this issue was a very good move. It’s very assured but it needed a balancing quote from a concerned safeguarding group. The residual issue, which is actually a huge problem across the board, and not particular to the BBC, is that the guidance, like the Cass Review, and Pathways puberty blocker research, and almost all media coverage, is predicated on the existence of ‘true trans’. That is, the belief that some children really are born in the wrong body, or have an opposite sex brain. If you believe this [necessarily untrue] claim, then naturally you will assume a small number of children do need to be socially and medically transitioned, it’s just that we need to be careful about which ones. And that creates loopholes, which researchers who’ve followed it for years know will be exploited. For example - the ‘vast majority’ of children can’t transition at school without parents knowing - so that means some schools can help a child secretly transition. Boys can/should be banned from girls sport ‘when it’s safer’ - so some boys can be in a girls category. It’s as if the problem for the last 15 years is that too many children were wrongly thought to be in the wrong body, instead of a global failure to understand that no one is, at all. It looks like this has been settled on as a compromise position for now, for the sake of neutrality. But if we have to set that aside, this was assured and fair content.
2:24

The BBC ran schools gender guidance as second story, with the Education Editor, Branwen Jeffreys, on national bulletin at Six. Quite something. Ending the Identity Hub’s gatekeeping of this issue was a very good move. It’s very assured but it needed a balancing quote from a concerned safeguarding group. The residual issue, which is actually a huge problem across the board, and not particular to the BBC, is that the guidance, like the Cass Review, and Pathways puberty blocker research, and almost all media coverage, is predicated on the existence of ‘true trans’. That is, the belief that some children really are born in the wrong body, or have an opposite sex brain. If you believe this [necessarily untrue] claim, then naturally you will assume a small number of children do need to be socially and medically transitioned, it’s just that we need to be careful about which ones. And that creates loopholes, which researchers who’ve followed it for years know will be exploited. For example - the ‘vast majority’ of children can’t transition at school without parents knowing - so that means some schools can help a child secretly transition. Boys can/should be banned from girls sport ‘when it’s safer’ - so some boys can be in a girls category. It’s as if the problem for the last 15 years is that too many children were wrongly thought to be in the wrong body, instead of a global failure to understand that no one is, at all. It looks like this has been settled on as a compromise position for now, for the sake of neutrality. But if we have to set that aside, this was assured and fair content.

SEEN in Journalism

19,262 görüntüleme • 6 ay önce

CSS Tip! 💪 You can create these tab controls with CSS :has() + radio buttons ✨ .tabs:has(input:nth-of-type(3)) { --count: 3; } .tabs:has(:checked:nth-of-type(3)) { --active: 2; } .tabs::after { translate: calc(var(--active, 0) * 100%) 0; width: calc(100% / var(--count)); } Two CSS :has() tricks here combined with a rendering trick 🤙 The tab control is a container using display: grid. You can use :has() to count the number of tabs in the container: .tabs:has(input:nth-of-type(3)) { --count: 3; } .tabs:has(input:nth-of-type(4)) { --count: 4; } Using the cascade, the last valid :has() gives you the number of tabs 🫶 Once you know the number of tabs, you know how to size the indicator: .tabs::after { content: ""; position: absolute; height: 100%; width: calc(100% / var(--count)); } It's a pseudoelement that uses --count to determine its size 📏 The next :has() trick is determining which tab is active or :checked as it's an input [type=radio] .tabs:has(:checked:nth-of-type(2)) { --active: 1; } .tabs:has(:checked:nth-of-type(3)) { --active: 2; } You can use a zero-indexed translation here. If the second input is :checked, set --active: 1, then translate the pseudoelement on the tabs to that position 👉 .tabs::after { translate: calc(var(--active, 0) * 100%) 0; } The last rendering trick is using mix-blend-mode 👀 The tabs have a black background-color, the pseudoelement is white, and the label text is white. When you use mix-blend-mode: difference on the pseudoelement it will give this effect that the text transitions from white to black sliding across 😎 .tabs::after { color: hsl(0 0% 100%); mix-blend-mode: difference; } You can totally mix up the colors here though and go with a different effect. The mechanics of how you can use CSS :has() is the main point here 🙏 As always, any questions, suggestions, etc. let me know CodePen.IO link below! 👇 (There's even a Tailwind CSS play for this one too 👀)
0:48

CSS Tip! 💪 You can create these tab controls with CSS :has() + radio buttons ✨ .tabs:has(input:nth-of-type(3)) { --count: 3; } .tabs:has(:checked:nth-of-type(3)) { --active: 2; } .tabs::after { translate: calc(var(--active, 0) * 100%) 0; width: calc(100% / var(--count)); } Two CSS :has() tricks here combined with a rendering trick 🤙 The tab control is a container using display: grid. You can use :has() to count the number of tabs in the container: .tabs:has(input:nth-of-type(3)) { --count: 3; } .tabs:has(input:nth-of-type(4)) { --count: 4; } Using the cascade, the last valid :has() gives you the number of tabs 🫶 Once you know the number of tabs, you know how to size the indicator: .tabs::after { content: ""; position: absolute; height: 100%; width: calc(100% / var(--count)); } It's a pseudoelement that uses --count to determine its size 📏 The next :has() trick is determining which tab is active or :checked as it's an input [type=radio] .tabs:has(:checked:nth-of-type(2)) { --active: 1; } .tabs:has(:checked:nth-of-type(3)) { --active: 2; } You can use a zero-indexed translation here. If the second input is :checked, set --active: 1, then translate the pseudoelement on the tabs to that position 👉 .tabs::after { translate: calc(var(--active, 0) * 100%) 0; } The last rendering trick is using mix-blend-mode 👀 The tabs have a black background-color, the pseudoelement is white, and the label text is white. When you use mix-blend-mode: difference on the pseudoelement it will give this effect that the text transitions from white to black sliding across 😎 .tabs::after { color: hsl(0 0% 100%); mix-blend-mode: difference; } You can totally mix up the colors here though and go with a different effect. The mechanics of how you can use CSS :has() is the main point here 🙏 As always, any questions, suggestions, etc. let me know CodePen.IO link below! 👇 (There's even a Tailwind CSS play for this one too 👀)

jhey ʕ•ᴥ•ʔ

437,533 görüntüleme • 2 yıl önce

I mentioned that I’ve been working on something huge, and honestly, it’s proving to be too effective. This isn’t a delayed signal or a lagging indicator. It’s a time based pivot, occurring around specific periods throughout the week. The key point is that the signal appears before the move, not after, because it’s derived from time, not price. Over a 3 month sample size, it’s sitting at 10 wins out of 11 trades (90.91% win rate). Still some refining to do for multi-timeframe use, but overall... quite insane. Originally, I planned to include these LTF pivots as part of the package. However, after seeing it automated, I’ve decided to keep it to myself. In the right hands, it’s extremely powerful, and for now, it’s something I’m choosing to retain for personal use. That said, the indicators I’m releasing remain highly effective. They’re designed to support and enhance decision making rather than replace it, and they reward traders who understand market context and execution. Rather than issuing direct signals (as shown in this video), these tools will highlight key timing windows, with all execution decisions left entirely to the user, not the indicator. Yes, I will be creating videos to explain how the indicators work. That said, the other pivots in this section still offer substantial value. This one, though… stays with me. $BTC
3:07

I mentioned that I’ve been working on something huge, and honestly, it’s proving to be too effective. This isn’t a delayed signal or a lagging indicator. It’s a time based pivot, occurring around specific periods throughout the week. The key point is that the signal appears before the move, not after, because it’s derived from time, not price. Over a 3 month sample size, it’s sitting at 10 wins out of 11 trades (90.91% win rate). Still some refining to do for multi-timeframe use, but overall... quite insane. Originally, I planned to include these LTF pivots as part of the package. However, after seeing it automated, I’ve decided to keep it to myself. In the right hands, it’s extremely powerful, and for now, it’s something I’m choosing to retain for personal use. That said, the indicators I’m releasing remain highly effective. They’re designed to support and enhance decision making rather than replace it, and they reward traders who understand market context and execution. Rather than issuing direct signals (as shown in this video), these tools will highlight key timing windows, with all execution decisions left entirely to the user, not the indicator. Yes, I will be creating videos to explain how the indicators work. That said, the other pivots in this section still offer substantial value. This one, though… stays with me. $BTC

Killa

64,809 görüntüleme • 8 ay önce

🚨BREAKING: A cognitive scientist from MIT has mathematically proven that evolution guarantees we see zero percent of true reality, that most consciousness in the universe exists without a body, and that non-human intelligences with a wider window on reality than ours can reach in and manipulate it the way a programmer manipulates a video game. Donald Hoffman (Donald Hoffman) is a cognitive scientist at UC Irvine who has spent 40 years building a mathematical theory of the observer. His work was cited by John Wheeler in the "It From Bit" paper. He studied under Marvin Minsky at MIT, spent two decades secretly meeting with Francis Crick to study consciousness, and has nine specific mathematical conjectures on the table that would derive general relativity, quantum field theory and the Big Bang from a single framework. The top high-energy physicists in the world, Nima Arkani-Hamed and Nobel laureate David Gross, are already saying spacetime is doomed. Hoffman thinks he knows what replaces it. This interview is the first time he has publicly laid out what his mathematical model explains about alien life, embodiment and the structure of reality. It already derives time dilation and quantum wave functions directly from differences in observer window size. Physics has spent a century failing to solve the measurement problem because it has been looking in the wrong place. The observer has to come first, and no physicalist framework can get you there. A consciousness with a larger observer window has access to the underlying structure of our reality in ways we can't perceive or counter. A craft going Mach 40 instantaneously in our headset could be a leisurely maneuver in theirs. The implications for UAP and alien life are immense. Embodiment, being locked into a body with fingers and toes as your only interface with the world, is a probability zero anomaly in the full space of possible minds. He also says current large language models are dumber than cucumbers. His new framework, the recursive trace logic, is a completely different architecture, and some of the biggest names in frontier AI have already come to him about it. The framework has no ceiling, and the implication is a single unified consciousness exploring itself through an unbounded number of perspectives, each one capable of waking up. Death, in this framework, is just the closing of an icon on the desktop. Full conversation is live now.
1:44

🚨BREAKING: A cognitive scientist from MIT has mathematically proven that evolution guarantees we see zero percent of true reality, that most consciousness in the universe exists without a body, and that non-human intelligences with a wider window on reality than ours can reach in and manipulate it the way a programmer manipulates a video game. Donald Hoffman (Donald Hoffman) is a cognitive scientist at UC Irvine who has spent 40 years building a mathematical theory of the observer. His work was cited by John Wheeler in the "It From Bit" paper. He studied under Marvin Minsky at MIT, spent two decades secretly meeting with Francis Crick to study consciousness, and has nine specific mathematical conjectures on the table that would derive general relativity, quantum field theory and the Big Bang from a single framework. The top high-energy physicists in the world, Nima Arkani-Hamed and Nobel laureate David Gross, are already saying spacetime is doomed. Hoffman thinks he knows what replaces it. This interview is the first time he has publicly laid out what his mathematical model explains about alien life, embodiment and the structure of reality. It already derives time dilation and quantum wave functions directly from differences in observer window size. Physics has spent a century failing to solve the measurement problem because it has been looking in the wrong place. The observer has to come first, and no physicalist framework can get you there. A consciousness with a larger observer window has access to the underlying structure of our reality in ways we can't perceive or counter. A craft going Mach 40 instantaneously in our headset could be a leisurely maneuver in theirs. The implications for UAP and alien life are immense. Embodiment, being locked into a body with fingers and toes as your only interface with the world, is a probability zero anomaly in the full space of possible minds. He also says current large language models are dumber than cucumbers. His new framework, the recursive trace logic, is a completely different architecture, and some of the biggest names in frontier AI have already come to him about it. The framework has no ceiling, and the implication is a single unified consciousness exploring itself through an unbounded number of perspectives, each one capable of waking up. Death, in this framework, is just the closing of an icon on the desktop. Full conversation is live now.

Jesse Michels

1,665,426 görüntüleme • 2 ay önce

Meet Anushka Shetty: a yoga teacher who became a cinematic titan. > Born: November 7, 1981, in Mangaluru, into a traditional Bunt family. She grew up with a grounded sense of self, far from the glare of the flashbulbs. > Education: Mount Carmel College, Bengaluru from Bachelor of Computer Applications. Before stardom, she was a disciplined yoga instructor, mastering the art of balance and breath. > Age 21–23: Before the world knew her name, she was a disciplined yoga instructor, mastering the art of breath and stillness a foundation that would later give her a screen presence unlike any other. > Age 24: The "Accidental" Star. She entered the industry not to chase fame, but as a path that found her. Her debut Super wasn't a hit, but it planted the seed for a legend in the making. > Age 28: The Arundhati Explosion. She didn’t just act; she possessed the screen. A heroine-centric horror-fantasy that silenced every doubter and proved that a woman could carry an entire film on her own shoulders. > Age 29: The "Singam" Effect. She became the ultimate pan-Indian face, dominating Tamil and Telugu cinema simultaneously. She was the rare star who didn't need a "big hero" to stay relevant. > Age 34: The Global Titan. As Devasena in Baahubali, she became a face recognized across continents. She brought a royal ferocity that redefined the archetypal Indian woman on screen. > Age 35: The "Size Zero" Sacrifice. She put on 20 kilos for a role, shattering the industry’s vanity standards. She proved that for her, the craft would always outweigh the "glamorous" image. > Age 36: The Bhaagamathie Comeback. After shedding those same 20 kilos with grueling discipline, she delivered a performance so intense it kept the audience breathless. > Age 43: The "Rebel" of Grace. Amidst relentless, invasive rumors about her marriage and private life, she remains a fortress of silence. She chooses to speak only through her work, refusing to feed the gossip machine.Age 44: The New Frontier. Currently venturing into global cinema with Kathanar – The Wild Sorcerer, she continues to prove that she isn't just an actress she is an institution. > At 44, Anushka Shetty stands as the 'Queen of South Indian Cinema' not by title, but by the weight of her choices. She has navigated two decades of stardom without a single major controversy, choosing dignity over drama. She is the woman who showed us that you don't need to be loud to be powerful, and you don't need to be everywhere to be the Queen.
0:36

Meet Anushka Shetty: a yoga teacher who became a cinematic titan. > Born: November 7, 1981, in Mangaluru, into a traditional Bunt family. She grew up with a grounded sense of self, far from the glare of the flashbulbs. > Education: Mount Carmel College, Bengaluru from Bachelor of Computer Applications. Before stardom, she was a disciplined yoga instructor, mastering the art of balance and breath. > Age 21–23: Before the world knew her name, she was a disciplined yoga instructor, mastering the art of breath and stillness a foundation that would later give her a screen presence unlike any other. > Age 24: The "Accidental" Star. She entered the industry not to chase fame, but as a path that found her. Her debut Super wasn't a hit, but it planted the seed for a legend in the making. > Age 28: The Arundhati Explosion. She didn’t just act; she possessed the screen. A heroine-centric horror-fantasy that silenced every doubter and proved that a woman could carry an entire film on her own shoulders. > Age 29: The "Singam" Effect. She became the ultimate pan-Indian face, dominating Tamil and Telugu cinema simultaneously. She was the rare star who didn't need a "big hero" to stay relevant. > Age 34: The Global Titan. As Devasena in Baahubali, she became a face recognized across continents. She brought a royal ferocity that redefined the archetypal Indian woman on screen. > Age 35: The "Size Zero" Sacrifice. She put on 20 kilos for a role, shattering the industry’s vanity standards. She proved that for her, the craft would always outweigh the "glamorous" image. > Age 36: The Bhaagamathie Comeback. After shedding those same 20 kilos with grueling discipline, she delivered a performance so intense it kept the audience breathless. > Age 43: The "Rebel" of Grace. Amidst relentless, invasive rumors about her marriage and private life, she remains a fortress of silence. She chooses to speak only through her work, refusing to feed the gossip machine.Age 44: The New Frontier. Currently venturing into global cinema with Kathanar – The Wild Sorcerer, she continues to prove that she isn't just an actress she is an institution. > At 44, Anushka Shetty stands as the 'Queen of South Indian Cinema' not by title, but by the weight of her choices. She has navigated two decades of stardom without a single major controversy, choosing dignity over drama. She is the woman who showed us that you don't need to be loud to be powerful, and you don't need to be everywhere to be the Queen.

Vara Tweets 🪷

65,185 görüntüleme • 1 ay önce

2k to 93,200. Another day. Another step closer to 100k. Let me be very clear so nobody confuses this with luck. Accounts do not grow like this by accident. They grow when you stop gambling and start operating with rules. Every trade I take has a reason. Every entry has invalidation. Every loss is accepted before the trade is placed. This is where most people fail. They say they want growth but they trade emotionally. They size too big. They chase moves they missed. They let losers run because admitting they are wrong hurts their ego. The market punishes ego fast. The goal is not to be right. The goal is to be disciplined. I do not need to catch every move. I only need to catch the ones that fit my plan. Flat days are wins. Small green days are wins. Survival is a win. You cannot compound if you are constantly digging out of drawdowns. As the account grows the rules get tighter, not looser. Risk scales slower than confidence. Profits are protected. Trades are fewer but cleaner. This is how you go from small money to real money without blowing up. If you are trying to do this yourself understand something important. The edge is not a secret indicator. The edge is patience. The edge is saying no to bad setups. The edge is showing up every day with the same process whether you are up or down. 93,200 is not the finish line. It is proof of concept. 100k is close. The work stays the same. If you are serious about trading stop looking for shortcuts. Build rules. Respect risk. Let discipline compound.
2:49

2k to 93,200. Another day. Another step closer to 100k. Let me be very clear so nobody confuses this with luck. Accounts do not grow like this by accident. They grow when you stop gambling and start operating with rules. Every trade I take has a reason. Every entry has invalidation. Every loss is accepted before the trade is placed. This is where most people fail. They say they want growth but they trade emotionally. They size too big. They chase moves they missed. They let losers run because admitting they are wrong hurts their ego. The market punishes ego fast. The goal is not to be right. The goal is to be disciplined. I do not need to catch every move. I only need to catch the ones that fit my plan. Flat days are wins. Small green days are wins. Survival is a win. You cannot compound if you are constantly digging out of drawdowns. As the account grows the rules get tighter, not looser. Risk scales slower than confidence. Profits are protected. Trades are fewer but cleaner. This is how you go from small money to real money without blowing up. If you are trying to do this yourself understand something important. The edge is not a secret indicator. The edge is patience. The edge is saying no to bad setups. The edge is showing up every day with the same process whether you are up or down. 93,200 is not the finish line. It is proof of concept. 100k is close. The work stays the same. If you are serious about trading stop looking for shortcuts. Build rules. Respect risk. Let discipline compound.

CooperBaggs 💰🍞

27,566 görüntüleme • 7 ay önce

CSS Trick 🤙 You can create these tab bar controls by using :has() to count the number of tabs ⭐️ .tabs:has(input:nth-of-type(3)){--count: 3;} .tabs:has(:checked:nth-of-type(3)){--active: 200%;} .tabs::after{ translate:var(--active) 0;} Let's break it down in this ! 📼 Couple of CSS :has() tricks here combined with custom properties 😎 First things first, lay out the tabs using display: grid. This gives you a way to create equal-width tabs 🙏 .tabs { display: grid; grid-auto-flow: column; } Then you use :has() to count the number of tabs and store that in a custom property 🤓 .tabs:has(input:nth-of-type(3)) { --count: 3; } .tabs:has(input:nth-of-type(4)) { --count: 4; } Using the cascade, the last valid :has() gives you the number of tabs 🫶 Using the tab count, you can size the tab indicator. For the tab indicator, use the tabs pseudoelement: .tabs::after { content: ""; position: absolute; height: 100%; width: calc(100% / var(--count)); } See how you can use --count to determine its size 📏 Next, use :has() to determine which tab is active or :checked with input [type=radio] .tabs:has(:checked:nth-of-type(2)) { --active: 1; } .tabs:has(:checked:nth-of-type(3)) { --active: 2; } You can use a zero-indexed translation here. If the second input is :checked, set --active: 1, then translate the pseudoelement on the tabs to that position 👉 .tabs::after { translate: calc(var(--active, 0) * 100%) 0; } Or you could set active to the translation: .tabs:has(:checked:nth-of-type(2)) { --active: 100%; } Setting the custom property allows you to use the index elsewhere if you need it 🤙 The final piece is using mix-blend-mode 👀 The tabs have a black background-color, the pseudoelement is white, and the label text is white. When you use mix-blend-mode: difference on the pseudoelement it will give this effect that the text transitions from white to black sliding across 😎 .tabs::after { color: hsl(0 0% 100%); mix-blend-mode: difference; } You can totally mix up the colors here though and go with a different effect. The mechanics of how you can use CSS :has() is the main point here 🙏 As always, any questions, suggestions, etc. let me know CodePen.IO link below! 👇 (There's even a Tailwind CSS play for this one too 👀)
9:24

CSS Trick 🤙 You can create these tab bar controls by using :has() to count the number of tabs ⭐️ .tabs:has(input:nth-of-type(3)){--count: 3;} .tabs:has(:checked:nth-of-type(3)){--active: 200%;} .tabs::after{ translate:var(--active) 0;} Let's break it down in this ! 📼 Couple of CSS :has() tricks here combined with custom properties 😎 First things first, lay out the tabs using display: grid. This gives you a way to create equal-width tabs 🙏 .tabs { display: grid; grid-auto-flow: column; } Then you use :has() to count the number of tabs and store that in a custom property 🤓 .tabs:has(input:nth-of-type(3)) { --count: 3; } .tabs:has(input:nth-of-type(4)) { --count: 4; } Using the cascade, the last valid :has() gives you the number of tabs 🫶 Using the tab count, you can size the tab indicator. For the tab indicator, use the tabs pseudoelement: .tabs::after { content: ""; position: absolute; height: 100%; width: calc(100% / var(--count)); } See how you can use --count to determine its size 📏 Next, use :has() to determine which tab is active or :checked with input [type=radio] .tabs:has(:checked:nth-of-type(2)) { --active: 1; } .tabs:has(:checked:nth-of-type(3)) { --active: 2; } You can use a zero-indexed translation here. If the second input is :checked, set --active: 1, then translate the pseudoelement on the tabs to that position 👉 .tabs::after { translate: calc(var(--active, 0) * 100%) 0; } Or you could set active to the translation: .tabs:has(:checked:nth-of-type(2)) { --active: 100%; } Setting the custom property allows you to use the index elsewhere if you need it 🤙 The final piece is using mix-blend-mode 👀 The tabs have a black background-color, the pseudoelement is white, and the label text is white. When you use mix-blend-mode: difference on the pseudoelement it will give this effect that the text transitions from white to black sliding across 😎 .tabs::after { color: hsl(0 0% 100%); mix-blend-mode: difference; } You can totally mix up the colors here though and go with a different effect. The mechanics of how you can use CSS :has() is the main point here 🙏 As always, any questions, suggestions, etc. let me know CodePen.IO link below! 👇 (There's even a Tailwind CSS play for this one too 👀)

jhey ʕ•ᴥ•ʔ

70,730 görüntüleme • 2 yıl önce

🚨🇺🇦 UKRAINE IS TURNING AI INTO THE UPPER HAND: DRONES, SNIPER TECH, AND ALGORITHMIC WARFARE In the rolling fields of eastern Ukraine, a soldier peers through the scope of a rifle pointed at a target 2 and a half miles away. At that distance, even the Earth’s curve starts to matter. In older wars, this kind of shot would have been impossible - mythical even. But when the trigger is pulled, the impossible happens: a bullet arcs through the air and finds its mark. A new world record. The secret wasn’t just the shooter’s steady hand. It was an alliance of man, machine, and math - AI-powered optics calculating wind, humidity, and drop, while a drone overhead fed real-time telemetry into the rifle’s brain. That single shot is the metaphor for Ukraine’s entire war. Russia has the size - tanks, jets, bodies to burn. Ukraine has the brains - algorithms, drones, precision. Ukraine’s Unmanned Systems Forces isn’t a sideshow. It’s a whole new branch of the military, running swarms of drones that hit tens of thousands of Russian targets every month. Some drones distract, others jam, and the killers dive last. AI makes this possible. Drones fly beyond line-of-sight, reroute around jammers, and finish missions even when cut off from human pilots. That’s how Ukrainian drones just lit up Russia’s Saratov oil refinery, slicing into Moscow’s fuel supply lines. Earlier this month, AI-guided strikes crippled Ryazan and Novokuibyshevsk refineries - knocking them offline for weeks and cutting Russia’s war machine at the knees. Behind the frontline is Brave1, Ukraine’s innovation engine. It takes battlefield requests - “make a drone that can dodge jammers” - and spits out prototypes in months, not years. Think Silicon Valley, but instead of apps, the product is software-guided kamikaze drones that can fly 600 km deep into Russia. Even NATO defense startups are plugging into this ecosystem, testing autonomous drones in Ukraine’s skies like it’s the world’s deadliest beta test. Every mission trains the algorithms, making the next strike smarter and sharper. Russia wanted a war of numbers. Ukraine made it a war of code. And in that fight, Moscow’s massive army looks like a dinosaur charging headfirst into a digital age. Sources: Reuters, BBC, Kyiv Independent, Politico
0:34

🚨🇺🇦 UKRAINE IS TURNING AI INTO THE UPPER HAND: DRONES, SNIPER TECH, AND ALGORITHMIC WARFARE In the rolling fields of eastern Ukraine, a soldier peers through the scope of a rifle pointed at a target 2 and a half miles away. At that distance, even the Earth’s curve starts to matter. In older wars, this kind of shot would have been impossible - mythical even. But when the trigger is pulled, the impossible happens: a bullet arcs through the air and finds its mark. A new world record. The secret wasn’t just the shooter’s steady hand. It was an alliance of man, machine, and math - AI-powered optics calculating wind, humidity, and drop, while a drone overhead fed real-time telemetry into the rifle’s brain. That single shot is the metaphor for Ukraine’s entire war. Russia has the size - tanks, jets, bodies to burn. Ukraine has the brains - algorithms, drones, precision. Ukraine’s Unmanned Systems Forces isn’t a sideshow. It’s a whole new branch of the military, running swarms of drones that hit tens of thousands of Russian targets every month. Some drones distract, others jam, and the killers dive last. AI makes this possible. Drones fly beyond line-of-sight, reroute around jammers, and finish missions even when cut off from human pilots. That’s how Ukrainian drones just lit up Russia’s Saratov oil refinery, slicing into Moscow’s fuel supply lines. Earlier this month, AI-guided strikes crippled Ryazan and Novokuibyshevsk refineries - knocking them offline for weeks and cutting Russia’s war machine at the knees. Behind the frontline is Brave1, Ukraine’s innovation engine. It takes battlefield requests - “make a drone that can dodge jammers” - and spits out prototypes in months, not years. Think Silicon Valley, but instead of apps, the product is software-guided kamikaze drones that can fly 600 km deep into Russia. Even NATO defense startups are plugging into this ecosystem, testing autonomous drones in Ukraine’s skies like it’s the world’s deadliest beta test. Every mission trains the algorithms, making the next strike smarter and sharper. Russia wanted a war of numbers. Ukraine made it a war of code. And in that fight, Moscow’s massive army looks like a dinosaur charging headfirst into a digital age. Sources: Reuters, BBC, Kyiv Independent, Politico

Mario Nawfal

167,140 görüntüleme • 1 yıl önce

Andy Burnham is the elected Mayor of Greater Manchester. In 2017, following the BBC documentary "The Betrayed Girls," he commissioned a series of non-statutory reviews to examine historic child sexual exploitation across his region. He rejected calls for a statutory public inquiry with legal powers to compel evidence and punish obstruction. Instead, he chose voluntary processes that took seven years to complete and relied entirely on the cooperation of the institutions under scrutiny. By the end, his own expert team had withdrawn, refusing to finish the work. The reviews found "no evidence" of cover-ups. Reassuring, on the surface, until you read the small print and learn that Burnham’s reviews were structurally forbidden from looking for cover ups. When, in January 2025, global attention finally forced Andy Burnham to acknowledge the need for compulsion, he still wanted a national inquiry 'limited' and anchored to the same powerless reviews he had already commissioned. This is the story of how Andy Burnham designed a response that could absorb public outrage while protecting institutional stability. Just as with the Pakistani Rape Gangs, this is a story that the legacy media are desperately trying to prevent from being made public. Watch the video, read the article in your inbox, and should you find truth in my words, you will understand why the King of the North smears me hiding behind a keyboard yet is too scared to face me in public. Yet again, to one of the most powerful politicians in the land, name the time and place Andy Burnham. Let the public decide whether I am the liar or you involved in the cover up of the gang rape of little White girls by bloc vote supplying Pakistani men. ________ I’m Raja Miah. For seven years, I led a small team that exposed how politicians protected the rape gangs. Before that, I spent over a decade safeguarding children and protecting communities from extremists. My work is free because the truth must circulate. But truth without numbers is easy to crush. The government does not fear facts. It fears scale. 🔴 Subscribe to the newsletter. It’s free. Every subscriber is a number they can’t erase. Every reader widens the circle they can’t control. 👉 Subscribe here: If you can afford it, please support for 75p a week (£3/month or £30/year). Not for perks. Not for access. But because numbers with backing become power. A few supporters can be ignored. Thousands cannot. This is how this campaign survive. This is how we see this through. This is how voices like ours stops being managed and starts being feared. 🔴 Prefer a one-off contribution? 👉 👉 No sponsors. No parties. No institutions to lean on. Just numbers. Growing fast enough that covering this up becomes impossible. We don’t need everyone. We need you. – Raja Miah MBE
37:35

Andy Burnham is the elected Mayor of Greater Manchester. In 2017, following the BBC documentary "The Betrayed Girls," he commissioned a series of non-statutory reviews to examine historic child sexual exploitation across his region. He rejected calls for a statutory public inquiry with legal powers to compel evidence and punish obstruction. Instead, he chose voluntary processes that took seven years to complete and relied entirely on the cooperation of the institutions under scrutiny. By the end, his own expert team had withdrawn, refusing to finish the work. The reviews found "no evidence" of cover-ups. Reassuring, on the surface, until you read the small print and learn that Burnham’s reviews were structurally forbidden from looking for cover ups. When, in January 2025, global attention finally forced Andy Burnham to acknowledge the need for compulsion, he still wanted a national inquiry 'limited' and anchored to the same powerless reviews he had already commissioned. This is the story of how Andy Burnham designed a response that could absorb public outrage while protecting institutional stability. Just as with the Pakistani Rape Gangs, this is a story that the legacy media are desperately trying to prevent from being made public. Watch the video, read the article in your inbox, and should you find truth in my words, you will understand why the King of the North smears me hiding behind a keyboard yet is too scared to face me in public. Yet again, to one of the most powerful politicians in the land, name the time and place Andy Burnham. Let the public decide whether I am the liar or you involved in the cover up of the gang rape of little White girls by bloc vote supplying Pakistani men. ________ I’m Raja Miah. For seven years, I led a small team that exposed how politicians protected the rape gangs. Before that, I spent over a decade safeguarding children and protecting communities from extremists. My work is free because the truth must circulate. But truth without numbers is easy to crush. The government does not fear facts. It fears scale. 🔴 Subscribe to the newsletter. It’s free. Every subscriber is a number they can’t erase. Every reader widens the circle they can’t control. 👉 Subscribe here: If you can afford it, please support for 75p a week (£3/month or £30/year). Not for perks. Not for access. But because numbers with backing become power. A few supporters can be ignored. Thousands cannot. This is how this campaign survive. This is how we see this through. This is how voices like ours stops being managed and starts being feared. 🔴 Prefer a one-off contribution? 👉 👉 No sponsors. No parties. No institutions to lean on. Just numbers. Growing fast enough that covering this up becomes impossible. We don’t need everyone. We need you. – Raja Miah MBE

Raja Miah

124,707 görüntüleme • 6 ay önce

"Xi Jinping is perfectly capable of taking China off the cliff. And he says he won't be bullied. He says he's not going to talk to us until we come begging... This is not going to be a good story for China, because remember, our economy is much bigger than theirs. Even with their inflated gross domestic product reports, their economy is less than two-thirds the size of ours. Last year, China ran an enormous merchandise trade surplus against us - $295.4 billion, which was 5.8% bigger than the merchandise trade surplus in 2023. They've got everything to lose. Now, they can retaliate, as they've done with the rare earth export ban. But they tried that against Japan in 2010. It didn't work. China collapsed in a couple months. They can tell Boeing: 'We're not accepting deliveries of planes,' but if President Trump prohibits Boeing from selling planes and replacement parts, there are going to be a lot of planes in China not flying. So, we have the power. The only way China wins this trade war is if it gets Trump to preemptively surrender. Now, Trump knows he holds the high cards, but the question is, and a lot of people say, 'Well, we're a democracy. We've got to give up.' I don't think so, because Trump actually believes in these tariffs. He knows how important it is. But that's China's only route out of this." - Gordon G. Chang
3:14

"Xi Jinping is perfectly capable of taking China off the cliff. And he says he won't be bullied. He says he's not going to talk to us until we come begging... This is not going to be a good story for China, because remember, our economy is much bigger than theirs. Even with their inflated gross domestic product reports, their economy is less than two-thirds the size of ours. Last year, China ran an enormous merchandise trade surplus against us - $295.4 billion, which was 5.8% bigger than the merchandise trade surplus in 2023. They've got everything to lose. Now, they can retaliate, as they've done with the rare earth export ban. But they tried that against Japan in 2010. It didn't work. China collapsed in a couple months. They can tell Boeing: 'We're not accepting deliveries of planes,' but if President Trump prohibits Boeing from selling planes and replacement parts, there are going to be a lot of planes in China not flying. So, we have the power. The only way China wins this trade war is if it gets Trump to preemptively surrender. Now, Trump knows he holds the high cards, but the question is, and a lot of people say, 'Well, we're a democracy. We've got to give up.' I don't think so, because Trump actually believes in these tariffs. He knows how important it is. But that's China's only route out of this." - Gordon G. Chang

Jan Jekielek

38,022 görüntüleme • 1 yıl önce

🚨 “Pellet Guns in #Islamabad: A Weapon of Oppression Turning Protesters into Living Corpses”🚨 The Islamabad police have used pellet guns on Pakistan Tehreek-e-Insaf (PTI) workers. For years, Indian security forces in occupied Kashmir have used pellet guns against protesters. ‼️What is a pellet gun? A pellet gun is a pump-action firearm that can use various types of cartridges ranging from size 5 to 12, with size 5 considered the most dangerous. These cartridges can cause extensive damage over a wide range. When fired, the cartridges burst in the air, releasing small iron pellets at high speed, which scatter in all directions. Each cartridge can contain up to 500 iron pellets. Originally designed for hunting, pellet guns are effective for targeting prey as the scattered pellets make it easier to hit the target. ‼️The Impact of Pellet Guns: •Victims struck by pellet guns can lose their eyesight completely. •Survivors often experience mental trauma, despair, and depression as their lives are irrevocably changed in an instant. •While pellet guns may not kill, they leave victims as “living corpses.” Example from Occupied Kashmir: Indian security forces in occupied Kashmir have extensively used pellet guns against protesters for years. According to a recent report in the Indian Journal of Ophthalmology, most victims of pellet gun injuries suffer from partial or complete blindness. #UndeclaredMartialLaw #PakistanUnderStateFascism Human Rights Watch Ryan Grim UN Watch Amnesty International Human Rights Commission of Pakistan UN Human Rights Council Kristalina Georgieva IMF IMFLive TRT World Now Al Jazeera English Becky Anderson Piers Morgan Mehdi Hasan Fareed Zakaria Human Rights Foundation (HRF) United Nations United NationsHumanRights Mélanie Joly Ilhan Omar Bernie Sanders RSF Greg Casar Congressman Brad Sherman Human Rights Council of Pakistan BBC News (World) CNN Sky News The Associated Press The Washington Post The New York Times
0:24

🚨 “Pellet Guns in #Islamabad: A Weapon of Oppression Turning Protesters into Living Corpses”🚨 The Islamabad police have used pellet guns on Pakistan Tehreek-e-Insaf (PTI) workers. For years, Indian security forces in occupied Kashmir have used pellet guns against protesters. ‼️What is a pellet gun? A pellet gun is a pump-action firearm that can use various types of cartridges ranging from size 5 to 12, with size 5 considered the most dangerous. These cartridges can cause extensive damage over a wide range. When fired, the cartridges burst in the air, releasing small iron pellets at high speed, which scatter in all directions. Each cartridge can contain up to 500 iron pellets. Originally designed for hunting, pellet guns are effective for targeting prey as the scattered pellets make it easier to hit the target. ‼️The Impact of Pellet Guns: •Victims struck by pellet guns can lose their eyesight completely. •Survivors often experience mental trauma, despair, and depression as their lives are irrevocably changed in an instant. •While pellet guns may not kill, they leave victims as “living corpses.” Example from Occupied Kashmir: Indian security forces in occupied Kashmir have extensively used pellet guns against protesters for years. According to a recent report in the Indian Journal of Ophthalmology, most victims of pellet gun injuries suffer from partial or complete blindness. #UndeclaredMartialLaw #PakistanUnderStateFascism Human Rights Watch Ryan Grim UN Watch Amnesty International Human Rights Commission of Pakistan UN Human Rights Council Kristalina Georgieva IMF IMFLive TRT World Now Al Jazeera English Becky Anderson Piers Morgan Mehdi Hasan Fareed Zakaria Human Rights Foundation (HRF) United Nations United NationsHumanRights Mélanie Joly Ilhan Omar Bernie Sanders RSF Greg Casar Congressman Brad Sherman Human Rights Council of Pakistan BBC News (World) CNN Sky News The Associated Press The Washington Post The New York Times

Qasim Khan Suri

66,051 görüntüleme • 1 yıl önce

Well done Anna Foster. 👏👏 BBC Radio 4’s Today programme just delivered a rare moment of actual accountability. Women and Equalities Minister Bridget Phillipson was doing the usual ministerial routine about the Simon Levy case: the seriousness, the horror, how she has “lost count” of the times she’s had to talk about another shocking failure, how she’s “had enough” of the endless “lessons need to be learned” script. Anna Foster refused the soft landing and delivered a blunt reality check: “You can’t come onto the programme and say to women: We are keeping you safe. We are doing everything we can to keep you safe. You’re unable to say that. Which must be a personal disappointment to you.” Phillipson was forced into a moment of honesty: in this case, women were left at risk, women were murdered and abused by a man who should never have been on the streets. There is “no getting away from that”. Exactly. You cannot spend years claiming your government is doing “everything” to protect women and girls, then admit in the same breath that a known, escalating sex offender was repeatedly bailed, poorly monitored, and free to rpe and kill. Simon Levy received a whole-life sentence this week for murdering two women and rping a third in 2025, all while on bail for prior sexual assaults. Police had flagged the danger. Courts still released him. Multiple failures across the Met, CPS and probation system. Yet the ministerial language remains the same soft script of regret and “we take this seriously”. Foster refused to let the platitudes stand. That is how these interviews should work. More of this, please.
0:45

Well done Anna Foster. 👏👏 BBC Radio 4’s Today programme just delivered a rare moment of actual accountability. Women and Equalities Minister Bridget Phillipson was doing the usual ministerial routine about the Simon Levy case: the seriousness, the horror, how she has “lost count” of the times she’s had to talk about another shocking failure, how she’s “had enough” of the endless “lessons need to be learned” script. Anna Foster refused the soft landing and delivered a blunt reality check: “You can’t come onto the programme and say to women: We are keeping you safe. We are doing everything we can to keep you safe. You’re unable to say that. Which must be a personal disappointment to you.” Phillipson was forced into a moment of honesty: in this case, women were left at risk, women were murdered and abused by a man who should never have been on the streets. There is “no getting away from that”. Exactly. You cannot spend years claiming your government is doing “everything” to protect women and girls, then admit in the same breath that a known, escalating sex offender was repeatedly bailed, poorly monitored, and free to rpe and kill. Simon Levy received a whole-life sentence this week for murdering two women and rping a third in 2025, all while on bail for prior sexual assaults. Police had flagged the danger. Courts still released him. Multiple failures across the Met, CPS and probation system. Yet the ministerial language remains the same soft script of regret and “we take this seriously”. Foster refused to let the platitudes stand. That is how these interviews should work. More of this, please.

J Stewart

70,963 görüntüleme • 4 gün önce

I Cracked Polymarket Using Claude Opus 4.6: The 96,000 Dollar Script For 5 Minute High Leverage Windows most traders are currently sitting at their desks fighting a losing battle against a digital wall because they do not realize the house always wins against human emotion. while the crowd is busy chasing the next meme coin or getting washed out in a single wick an automated agent just pulled nearly a hundred thousand dollars out of thin air using nothing but raw logic. i have seen people blow their life savings in these five minute windows because they treated a high leverage prediction market like a playground instead of a laboratory i am moon dev and i believe that code is the great equalizer because through losing money with liquidations and over trading i knew i had to automate my trading. in the past i spent hundreds of thousands on devs for apps thinking i would not be able to code myself which was a massive waste of my time and resources. with bots you must iterate to success so i decided to learn live on youtube and now we are here with fully automated systems trading for me instead of getting liquidated by the market the five minute markets on polymarket are essentially a high speed game of musical chairs where the person left standing is usually the one with the fastest script. leverage makes these markets extremely dangerous because it amplifies every mistake you make until your account is completely empty. the only way to survive this environment is to stop trading based on a gut feeling and start trading based on a stress tested mathematical edge the real breakthrough happened when i started using claude opus four point six to write the execution code for these specific five minute windows. having an ai agent that can analyze microstructure data means you can find trends that are completely invisible to the naked eye. it is essentially like having a team of twenty engineers working for you around the clock without the communication lag or the massive overhead costs some of our back tests show a sixty four percent win rate which sounds like a dream to anyone who has ever spent a night staring at a red screen. however the return on these tests varies wildly based on a few specific changes to the strategy parameters and histogram filters. i found that a return of forty one thousand dollars can jump to nearly double that just by adjusting how the bot handles the macd histogram threshold the trap that most people fall into is thinking that a good back test is a license to print money immediately without any further validation. this is a dangerous lie that leads to huge losses because the market in the past is not a perfect mirror of what is going to happen today. that is why i never launch a bot with full size until it has survived the incubation phase where it trades with ten dollars at a time incubation is the ultimate reality check for any trading strategy regardless of how good the numbers look on a computer screen. it is nerve wracking to watch a bot enter its first real trade even if the size is small because that is the moment theory meets reality. most of the bots that pass a back test will fail during the first forty eight hours of incubation and that is exactly why this step is non negotiable the data i use to build these systems covers over two hundred weeks of historical one minute candles to ensure the results are robust and not just luck. we are currently moving toward a machine learning approach where the system can adapt to changing market conditions without me having to intervene. this means the bot will eventually be able to recognize when a high leverage window is too risky and simply wait for a better entry the strategy itself relies heavily on macd variations which is a well known indicator but it is used here with a very specific and proprietary twist. by filtering for trades that hit a specific threshold we can ignore the random price noise that usually liquidates manual traders. we look for an edge of at least six percent which is enough to cover all platform fees and still leave a significant profit on the table i used to think that being a successful trader meant being a genius who could predict the future with a magical crystal ball. the truth is far more boring because success is just about researching an idea and testing it until the data proves it works in the past. then you just let the bot do the work while you go live your life instead of being a slave to the candle sticks and charts this world is changing fast and the people who learn to leverage ai to automate their thinking are going to be the ones who win the next decade. i am not asking you to trust a back test or a screenshot from a website because i want you to trust the process of testing it yourself. code allows you to take your life back from the screens and finally stop the cycle of over trading and emotional liquidations the difference between the traders who make it and the people who blow up is simply the willingness to iterate on their ideas daily. you might fail on your first ten bots but the eleventh one might be the script that changes your entire financial trajectory forever. it is about staying in the game long enough for the math to finally work in your favor and removing the human heart from the execution every day i am back testing and researching new ideas to see if they can survive the stress of real market data. i launch these live bots and let them run for seventy two hours to see if they can handle the pressure of the current market trend. while everyone else is coping and complaining about market volatility we are just adjusting our parameters and letting the ai find the next profitable window vibe coding with claude opus four point six has changed the speed at which i can deploy a new strategy from weeks down to just a few minutes. you can give the ai a general strategy idea and it builds the entire trading infrastructure for you while you focus on the logic. this speed is the ultimate advantage in a market that moves as fast as a five minute prediction window on the blockchain the future of trading is not found in a chat room or a paid signal group but in the code you write and the data you process. i believe that everyone has the ability to become an automated trader if they are willing to put in the work to learn the scripts. it is the only way to escape the trap of the nine to five and the anxiety of manual hand trading in a manipulated market i want you to understand that the ninety six thousand dollar returns i see are the result of hundreds of failed tests that never saw the light of day. you have to be willing to look at a failing bot and kill it without emotion so you can move on to the next research project. that is the quantitative mindset that separates the winners from the people who are just gambling with their savings if you are ready to stop being the liquidity for the big players then it is time to start building your own automated army of bots. for the cost of a few cups of coffee you can get access to the road map and the scripts that are driving these results. i am here every day showing you the process because i want to see more people use code to find their financial freedom and beat the house at its own game
11:04

I Cracked Polymarket Using Claude Opus 4.6: The 96,000 Dollar Script For 5 Minute High Leverage Windows most traders are currently sitting at their desks fighting a losing battle against a digital wall because they do not realize the house always wins against human emotion. while the crowd is busy chasing the next meme coin or getting washed out in a single wick an automated agent just pulled nearly a hundred thousand dollars out of thin air using nothing but raw logic. i have seen people blow their life savings in these five minute windows because they treated a high leverage prediction market like a playground instead of a laboratory i am moon dev and i believe that code is the great equalizer because through losing money with liquidations and over trading i knew i had to automate my trading. in the past i spent hundreds of thousands on devs for apps thinking i would not be able to code myself which was a massive waste of my time and resources. with bots you must iterate to success so i decided to learn live on youtube and now we are here with fully automated systems trading for me instead of getting liquidated by the market the five minute markets on polymarket are essentially a high speed game of musical chairs where the person left standing is usually the one with the fastest script. leverage makes these markets extremely dangerous because it amplifies every mistake you make until your account is completely empty. the only way to survive this environment is to stop trading based on a gut feeling and start trading based on a stress tested mathematical edge the real breakthrough happened when i started using claude opus four point six to write the execution code for these specific five minute windows. having an ai agent that can analyze microstructure data means you can find trends that are completely invisible to the naked eye. it is essentially like having a team of twenty engineers working for you around the clock without the communication lag or the massive overhead costs some of our back tests show a sixty four percent win rate which sounds like a dream to anyone who has ever spent a night staring at a red screen. however the return on these tests varies wildly based on a few specific changes to the strategy parameters and histogram filters. i found that a return of forty one thousand dollars can jump to nearly double that just by adjusting how the bot handles the macd histogram threshold the trap that most people fall into is thinking that a good back test is a license to print money immediately without any further validation. this is a dangerous lie that leads to huge losses because the market in the past is not a perfect mirror of what is going to happen today. that is why i never launch a bot with full size until it has survived the incubation phase where it trades with ten dollars at a time incubation is the ultimate reality check for any trading strategy regardless of how good the numbers look on a computer screen. it is nerve wracking to watch a bot enter its first real trade even if the size is small because that is the moment theory meets reality. most of the bots that pass a back test will fail during the first forty eight hours of incubation and that is exactly why this step is non negotiable the data i use to build these systems covers over two hundred weeks of historical one minute candles to ensure the results are robust and not just luck. we are currently moving toward a machine learning approach where the system can adapt to changing market conditions without me having to intervene. this means the bot will eventually be able to recognize when a high leverage window is too risky and simply wait for a better entry the strategy itself relies heavily on macd variations which is a well known indicator but it is used here with a very specific and proprietary twist. by filtering for trades that hit a specific threshold we can ignore the random price noise that usually liquidates manual traders. we look for an edge of at least six percent which is enough to cover all platform fees and still leave a significant profit on the table i used to think that being a successful trader meant being a genius who could predict the future with a magical crystal ball. the truth is far more boring because success is just about researching an idea and testing it until the data proves it works in the past. then you just let the bot do the work while you go live your life instead of being a slave to the candle sticks and charts this world is changing fast and the people who learn to leverage ai to automate their thinking are going to be the ones who win the next decade. i am not asking you to trust a back test or a screenshot from a website because i want you to trust the process of testing it yourself. code allows you to take your life back from the screens and finally stop the cycle of over trading and emotional liquidations the difference between the traders who make it and the people who blow up is simply the willingness to iterate on their ideas daily. you might fail on your first ten bots but the eleventh one might be the script that changes your entire financial trajectory forever. it is about staying in the game long enough for the math to finally work in your favor and removing the human heart from the execution every day i am back testing and researching new ideas to see if they can survive the stress of real market data. i launch these live bots and let them run for seventy two hours to see if they can handle the pressure of the current market trend. while everyone else is coping and complaining about market volatility we are just adjusting our parameters and letting the ai find the next profitable window vibe coding with claude opus four point six has changed the speed at which i can deploy a new strategy from weeks down to just a few minutes. you can give the ai a general strategy idea and it builds the entire trading infrastructure for you while you focus on the logic. this speed is the ultimate advantage in a market that moves as fast as a five minute prediction window on the blockchain the future of trading is not found in a chat room or a paid signal group but in the code you write and the data you process. i believe that everyone has the ability to become an automated trader if they are willing to put in the work to learn the scripts. it is the only way to escape the trap of the nine to five and the anxiety of manual hand trading in a manipulated market i want you to understand that the ninety six thousand dollar returns i see are the result of hundreds of failed tests that never saw the light of day. you have to be willing to look at a failing bot and kill it without emotion so you can move on to the next research project. that is the quantitative mindset that separates the winners from the people who are just gambling with their savings if you are ready to stop being the liquidity for the big players then it is time to start building your own automated army of bots. for the cost of a few cups of coffee you can get access to the road map and the scripts that are driving these results. i am here every day showing you the process because i want to see more people use code to find their financial freedom and beat the house at its own game

Moon Dev

10,921 görüntüleme • 5 ay önce

The Great Equalizer: How I Iterated Through 90+ Strategies to Automate My Financial Freedom ninety strategies sounds like a death wish but it is actually the only way to find your edge in a market designed to liquidate you. most traders are out here gambling with their rent money while the big players are using automated systems to harvest their liquidations. i know this because i spent hundreds of thousands of dollars on developers for apps thinking i could never code myself. i was getting wrecked by over trading and watching my accounts hit zero while i slept. code became the great equalizer for me because it removed the emotion that was killing my bankroll. i decided to learn to code live so i could iterate to success and now i have fully automated systems trading for me instead of getting liquidated by every wick. i just saw someone lose ten million dollars in a single month because they were trading by hand and got addicted to the screen. you have to understand that if you are not automating you are the exit liquidity for someone who is. the reality of advanced futures trading is not about finding one holy grail bot that prints money forever. it is about research and back testing until you find a strategy that has a statistical advantage. one of the most slept on concepts is variable risk scaling where you actually change your position size based on how volatile the market is. instead of just betting the same amount every time you increase your size when volatility is low and scale back when the market starts moving like crazy. this keeps you in the game during the draw downs that usually wipe people out. most people do the opposite and revenge trade with bigger size when they are losing which is the fastest way to the cemetery. i used to think i needed to be the smartest guy in the room to make this work but i realized i just needed to be the most disciplined with my risk parameters. there is a secret hidden in funding rates and basis trading that most retail traders never even look at. while everyone else is trying to guess if bitcoin is going to the moon or the floor you can actually make consistent money through funding rate arbitrage. you basically buy the asset in the spot market and simultaneously sell it in the futures market when the funding rate is high. you just sit there and collect the interest payments from the gamblers who are over leveraged on the other side. it is basically free money if you can manage the fees and keep your execution precise. i used to ignore these low yield plays because i wanted the big home runs but those home runs usually came with massive strikeouts. now i look for these carry trades as a way to keep the equity curve moving up and to the right while others are sweating over every price change. most traders fail because they use lagging indicators and expect them to predict the future with one hundred percent accuracy. the truth is that even the best trend following strategies like the golden cross or moving average crossovers only have about sixty five percent accuracy. you have to combine these with filters like the average directional index or relative strength index to make sure you are not just buying a fake breakout. a lot of people get chopped up in sideways markets because they do not have a trend strength filter to tell them to stay out of the trade. i learned to use multiple time frames to confirm my breakouts because if the one hour and the four hour charts are not saying the same thing then the trade is probably a trap. you have to be a searcher looking for those golden nuggets of alpha buried in mountains of data. i used to think that machine learning and genetic algorithms were just buzzwords that did not actually work for trading. then i realized that the 1990s tech trap is real and if you are still using basic indicators without any optimization you are decades behind. genetic algorithms are wild because they simulate natural selection to find the best parameters for your strategy through trial and error. you can actually build an environment where your bot learns from its own mistakes and optimizes its decision making process over time. i spent so much time thinking i was not smart enough to do this but once i started iterating live i found that the machines are much better at following rules than i ever was. code is the only way to compete with the high frequency firms that are looking for any tiny mispricing in the order book. slippage and bad execution will eat your profits faster than a bad trade ever could if you are not careful. most people just hit the market buy button and pay the spread and the fees without a second thought. you should be using smart order routing and limit orders to capture the bid ask spread instead of paying it to the market makers. i started using time weighted average price execution to spread my larger orders out over time so i did not move the market against myself. it is these tiny details in execution that separate the professional quants from the people who are just playing around. i had to learn this the hard way after losing a fortune on bad entries and exits that could have been avoided with a few lines of code. the ultimate goal of all of this is to build a compounding machine that grows your capital while you are living your life. you have to automate the reinvestment of your profits so that your position sizes grow as your account grows without you having to manually adjust anything. i like to use automated compounding algorithms that take a portion of my wins and put them back into the systems that are performing the best. this creates a snowball effect where your returns start to accelerate as the base capital increases. it took me years to realize that i did not need to be at the desk for eighteen hours a day to make life changing money. i just needed to build a system that was smarter and more disciplined than my own human brain. cross asset skew and volatility surface arbitrage are where the real quants play when the market gets efficient. you can look for mispricings between highly correlated assets like bitcoin and ethereum and trade the spread between them. when one asset gets overvalued relative to the other you short the leader and long the laggard until they revert back to the mean. this is a much safer way to trade because you are not betting on the direction of the market but rather the relationship between two assets. i spent a lot of money trying to guess the next big move before i realized that trading the relationship between assets was much more consistent. iteration is the only way to find these winks in the market that the average trader is completely blind to. it is a cold world in finance and most people are out here trying to step on your neck to get ahead. i believe that sharing this knowledge is important because code is the only thing that can give a regular person a fighting chance against the institutions. i started from zero and learned everything through failing and losing money until i finally figured out how to automate. now i spend my time building and testing instead of worrying about the next liquidation candle. you have to decide today if you want to keep being the exit liquidity or if you want to start building your own systems. the tools are all there and the data is accessible if you are willing to put in the work and stop negotiating with yourself. successful trading is not about being lucky it is about being prepared and having a system that can handle any market regime. whether the market is in a bull run or a total crash your bots should know exactly what to do based on the rules you have coded into them. i use risk weighted allocation to make sure that my capital is always moving toward the strategies with the highest sharp ratio and the lowest volatility. this keeps the portfolio stable even when the crypto market is going through its typical insane swings. i finally found peace in this game because i know that my automated systems are following the math while everyone else is following their feelings. code is the great equalizer and it is time for you to start using it to protect your future and build your empire there are over ninety strategies you can test and most of them will not work for your specific style but you only need one or two to change your life. i have built a fat list of ideas from research and i spend every day back testing and refining them to stay ahead of the curve. do not let the fear of coding stop you from taking control of your financial destiny because i am living proof that anyone can learn. i would rather spend my time iterating to success than getting liquidated by some random news event that i could not predict. the journey from losing hundreds of thousands to fully automated success was long but it was the best investment i ever made. keep your heart open and lead with love in this game and i promise the universe will start passing you those golden nuggets of alpha you have been searching for
2:40:29

The Great Equalizer: How I Iterated Through 90+ Strategies to Automate My Financial Freedom ninety strategies sounds like a death wish but it is actually the only way to find your edge in a market designed to liquidate you. most traders are out here gambling with their rent money while the big players are using automated systems to harvest their liquidations. i know this because i spent hundreds of thousands of dollars on developers for apps thinking i could never code myself. i was getting wrecked by over trading and watching my accounts hit zero while i slept. code became the great equalizer for me because it removed the emotion that was killing my bankroll. i decided to learn to code live so i could iterate to success and now i have fully automated systems trading for me instead of getting liquidated by every wick. i just saw someone lose ten million dollars in a single month because they were trading by hand and got addicted to the screen. you have to understand that if you are not automating you are the exit liquidity for someone who is. the reality of advanced futures trading is not about finding one holy grail bot that prints money forever. it is about research and back testing until you find a strategy that has a statistical advantage. one of the most slept on concepts is variable risk scaling where you actually change your position size based on how volatile the market is. instead of just betting the same amount every time you increase your size when volatility is low and scale back when the market starts moving like crazy. this keeps you in the game during the draw downs that usually wipe people out. most people do the opposite and revenge trade with bigger size when they are losing which is the fastest way to the cemetery. i used to think i needed to be the smartest guy in the room to make this work but i realized i just needed to be the most disciplined with my risk parameters. there is a secret hidden in funding rates and basis trading that most retail traders never even look at. while everyone else is trying to guess if bitcoin is going to the moon or the floor you can actually make consistent money through funding rate arbitrage. you basically buy the asset in the spot market and simultaneously sell it in the futures market when the funding rate is high. you just sit there and collect the interest payments from the gamblers who are over leveraged on the other side. it is basically free money if you can manage the fees and keep your execution precise. i used to ignore these low yield plays because i wanted the big home runs but those home runs usually came with massive strikeouts. now i look for these carry trades as a way to keep the equity curve moving up and to the right while others are sweating over every price change. most traders fail because they use lagging indicators and expect them to predict the future with one hundred percent accuracy. the truth is that even the best trend following strategies like the golden cross or moving average crossovers only have about sixty five percent accuracy. you have to combine these with filters like the average directional index or relative strength index to make sure you are not just buying a fake breakout. a lot of people get chopped up in sideways markets because they do not have a trend strength filter to tell them to stay out of the trade. i learned to use multiple time frames to confirm my breakouts because if the one hour and the four hour charts are not saying the same thing then the trade is probably a trap. you have to be a searcher looking for those golden nuggets of alpha buried in mountains of data. i used to think that machine learning and genetic algorithms were just buzzwords that did not actually work for trading. then i realized that the 1990s tech trap is real and if you are still using basic indicators without any optimization you are decades behind. genetic algorithms are wild because they simulate natural selection to find the best parameters for your strategy through trial and error. you can actually build an environment where your bot learns from its own mistakes and optimizes its decision making process over time. i spent so much time thinking i was not smart enough to do this but once i started iterating live i found that the machines are much better at following rules than i ever was. code is the only way to compete with the high frequency firms that are looking for any tiny mispricing in the order book. slippage and bad execution will eat your profits faster than a bad trade ever could if you are not careful. most people just hit the market buy button and pay the spread and the fees without a second thought. you should be using smart order routing and limit orders to capture the bid ask spread instead of paying it to the market makers. i started using time weighted average price execution to spread my larger orders out over time so i did not move the market against myself. it is these tiny details in execution that separate the professional quants from the people who are just playing around. i had to learn this the hard way after losing a fortune on bad entries and exits that could have been avoided with a few lines of code. the ultimate goal of all of this is to build a compounding machine that grows your capital while you are living your life. you have to automate the reinvestment of your profits so that your position sizes grow as your account grows without you having to manually adjust anything. i like to use automated compounding algorithms that take a portion of my wins and put them back into the systems that are performing the best. this creates a snowball effect where your returns start to accelerate as the base capital increases. it took me years to realize that i did not need to be at the desk for eighteen hours a day to make life changing money. i just needed to build a system that was smarter and more disciplined than my own human brain. cross asset skew and volatility surface arbitrage are where the real quants play when the market gets efficient. you can look for mispricings between highly correlated assets like bitcoin and ethereum and trade the spread between them. when one asset gets overvalued relative to the other you short the leader and long the laggard until they revert back to the mean. this is a much safer way to trade because you are not betting on the direction of the market but rather the relationship between two assets. i spent a lot of money trying to guess the next big move before i realized that trading the relationship between assets was much more consistent. iteration is the only way to find these winks in the market that the average trader is completely blind to. it is a cold world in finance and most people are out here trying to step on your neck to get ahead. i believe that sharing this knowledge is important because code is the only thing that can give a regular person a fighting chance against the institutions. i started from zero and learned everything through failing and losing money until i finally figured out how to automate. now i spend my time building and testing instead of worrying about the next liquidation candle. you have to decide today if you want to keep being the exit liquidity or if you want to start building your own systems. the tools are all there and the data is accessible if you are willing to put in the work and stop negotiating with yourself. successful trading is not about being lucky it is about being prepared and having a system that can handle any market regime. whether the market is in a bull run or a total crash your bots should know exactly what to do based on the rules you have coded into them. i use risk weighted allocation to make sure that my capital is always moving toward the strategies with the highest sharp ratio and the lowest volatility. this keeps the portfolio stable even when the crypto market is going through its typical insane swings. i finally found peace in this game because i know that my automated systems are following the math while everyone else is following their feelings. code is the great equalizer and it is time for you to start using it to protect your future and build your empire there are over ninety strategies you can test and most of them will not work for your specific style but you only need one or two to change your life. i have built a fat list of ideas from research and i spend every day back testing and refining them to stay ahead of the curve. do not let the fear of coding stop you from taking control of your financial destiny because i am living proof that anyone can learn. i would rather spend my time iterating to success than getting liquidated by some random news event that i could not predict. the journey from losing hundreds of thousands to fully automated success was long but it was the best investment i ever made. keep your heart open and lead with love in this game and i promise the universe will start passing you those golden nuggets of alpha you have been searching for

Moon Dev

11,196 görüntüleme • 6 ay önce

SHE SAW A BABY DIE AND RAISED THE ALARM. NHS SAW HER AND RAISED A BARRISTER. I was recently contacted by Amanda Ford. A qualified nurse, midwife, and former Lead Inspector for the Department of Health. She reached out because she saw what I document here, institutions protecting themselves while the people they are supposed to serve pay the price. Her story deserves full attention and I am going to give it some. Amanda worked for the Healthcare Safety Investigation Branch, HSIB, in the South West from 2019 to 2020. Within her first month investigating Yeovil District Hospital she witnessed what she describes as appalling care. A baby death that should not have occurred. A woman put through labour who should not have been labouring and was lucky to survive. She raised her concerns. She flagged inadequate consultant oversight, locum staff who were not properly supervised, and a unit that was not prepared for emergencies. She also flagged something more systemic. Managers at Yeovil were too close to her own organisation, and her own organisation was not challenging them hard enough. Nobody acted. Amanda was vilified. She was bullied. She left HSIB and took them to an Employment Tribunal. She lost her constructive dismissal claim but won most of her grievances through HSIB's own internal process. An independent report concluded she should have been treated as a whistleblower and that a bullying culture existed within HSIB. NHS England then paid lawyers and a London barrister to fight her at a five day hearing while sitting on independent evidence that supported her position. She was offered a settlement on the morning of the hearing. She refused. She wanted the truth on record publicly. In May 2025, Yeovil District Hospital's maternity unit closed. The Care Quality Commission (Care Quality Commission) cited concerns over staffing, equipment and the failure to learn from serious incidents. The unit recorded seven serious untoward incidents in 2022 and another seven in 2023. An obstetrician described the combined figures as reasonably alarming for a unit of that size. Somerset NHS Foundation Trust acknowledged it had not always got its culture right. Yeovil is now one of 12 NHS Trusts under investigation by Baroness Valerie Amos. Amanda gave evidence to the Amos inquiry. She did not hold back. She told the BBC: if that was happening in Yeovil, where else was it happening in the country? That is the right question. HSIB went into maternity units across England time and again. It was renamed MNSI and moved under the umbrella of CQC. The name changed. The pattern did not. This is what happens to NHS whistleblowers. You do your job. You tell the truth. You hit a brick wall. Amanda Ford hit that wall years before the unit closed. She is still standing. The evidence she raised in 2019 is now a national scandal. More to follow. Source: BBCNews, 26 February 2026 Dr Minh Alexander Minh Alexander minhalexander.bsky.social
4:02

SHE SAW A BABY DIE AND RAISED THE ALARM. NHS SAW HER AND RAISED A BARRISTER. I was recently contacted by Amanda Ford. A qualified nurse, midwife, and former Lead Inspector for the Department of Health. She reached out because she saw what I document here, institutions protecting themselves while the people they are supposed to serve pay the price. Her story deserves full attention and I am going to give it some. Amanda worked for the Healthcare Safety Investigation Branch, HSIB, in the South West from 2019 to 2020. Within her first month investigating Yeovil District Hospital she witnessed what she describes as appalling care. A baby death that should not have occurred. A woman put through labour who should not have been labouring and was lucky to survive. She raised her concerns. She flagged inadequate consultant oversight, locum staff who were not properly supervised, and a unit that was not prepared for emergencies. She also flagged something more systemic. Managers at Yeovil were too close to her own organisation, and her own organisation was not challenging them hard enough. Nobody acted. Amanda was vilified. She was bullied. She left HSIB and took them to an Employment Tribunal. She lost her constructive dismissal claim but won most of her grievances through HSIB's own internal process. An independent report concluded she should have been treated as a whistleblower and that a bullying culture existed within HSIB. NHS England then paid lawyers and a London barrister to fight her at a five day hearing while sitting on independent evidence that supported her position. She was offered a settlement on the morning of the hearing. She refused. She wanted the truth on record publicly. In May 2025, Yeovil District Hospital's maternity unit closed. The Care Quality Commission (Care Quality Commission) cited concerns over staffing, equipment and the failure to learn from serious incidents. The unit recorded seven serious untoward incidents in 2022 and another seven in 2023. An obstetrician described the combined figures as reasonably alarming for a unit of that size. Somerset NHS Foundation Trust acknowledged it had not always got its culture right. Yeovil is now one of 12 NHS Trusts under investigation by Baroness Valerie Amos. Amanda gave evidence to the Amos inquiry. She did not hold back. She told the BBC: if that was happening in Yeovil, where else was it happening in the country? That is the right question. HSIB went into maternity units across England time and again. It was renamed MNSI and moved under the umbrella of CQC. The name changed. The pattern did not. This is what happens to NHS whistleblowers. You do your job. You tell the truth. You hit a brick wall. Amanda Ford hit that wall years before the unit closed. She is still standing. The evidence she raised in 2019 is now a national scandal. More to follow. Source: BBCNews, 26 February 2026 Dr Minh Alexander Minh Alexander minhalexander.bsky.social

Artur Nadolny

25,038 görüntüleme • 3 ay önce

Years ago, Restart leader Seyed Mohammad Hosseini revealed a secret plan for Iran that the world was not supposed to see. The globalists have been paying the price for it ever since No, not the BBC. Not the VOA. Not Fox News. Not RFE/RL. Not CNN Not the MEK. Not Reza Pahlavi. Every outlet & every fake Iranian opposition figure claiming to be the enemy of the Islamic Regime imposed a TOTAL BLACKOUT on this man. WHY? Because his truth threatened the ENTIRE operation of the globalists that they all work for. His revelation didn't just turn the board over. It blew the whole operation WIDE OPEN! Iran is not controlled by one group. Iran is controlled by a Globalist syndicate of intelligence operatives from dozens of countries that all sit at the SAME table. Britain, Germany, France, China and the Deep State CIA/Mossad. Every major power has its man sitting in Tehran, every single one of them owning a piece of this PLUNDER. But snakes in the same pit don’t bite one another & the decision of that room is ABSOLUTE LAW. Reza Pahlavi & Hassan Rouhani are two actors reading the same script for them. One says he is the problem, the other the solution. Their strings are drawn by the same hands. When the elites saw millions of Iranians rising up under the leadership of the Restart Leader, backed by President Trump to take back their country, they PANICKED!! They decided to do a “staged revolution,” taking the rage of the ignorant masses and pulling them into the street for a staged coup, and then using that to put in a new puppet and spinning the wheel again. The engineered uprisings fell, one after another. Seeing their total defeat impending these PURE DEVILS unleashed their unfiltered rage in the brutal slaughter of innocent people. If you haven't figured out who we are actually fighting in THE WAR WITH IRAN by now. Seyed Mohammad Hosseini has just revealed the actual size of this battlefield and the secret behind it, shatters everything you thought you knew about the war. Not only is President Trump taking on Iran, he is dismantling a global coalition of 24 COUNTRIES. Iran is the Globalist Communist Cabal's ACHILLES heel. They have spun their web of control through Tehran and they are not about to let go of it. Let America withdraw from NATO and see the alliance FALL APART… tear up billion dollar deals across the Persian Gulf… impose a total blockade on the Strait of Hormuz and suffer the crushing economic ruin… they would just as soon choose ALL OF THESE as ever surrender Iran. You know, this is not just another political chess piece to [Them]. When [They] will burn the world to save just one asset. You’re looking at the SPINAL CORD of their entire global operation, and President Trump is snapping it in half. This war is directly related to draining the SWAMP- the second the Iranian regime falls, domestic ARRESTS begin. That's why the New York Times, CNN and every fake news outlet would rather spin an Iranian surrender as an American defeat than tell you the truth about what President Trump is actually winning. If you still think this is a regional conflict WAKE UP! Leading the charge are the two men, President Trump & the Restart Leader. Watching from the shadows is President Putin. This is an alliance they can not answer for and it scares them to the bone!! Mr Pool
3:29

Years ago, Restart leader Seyed Mohammad Hosseini revealed a secret plan for Iran that the world was not supposed to see. The globalists have been paying the price for it ever since No, not the BBC. Not the VOA. Not Fox News. Not RFE/RL. Not CNN Not the MEK. Not Reza Pahlavi. Every outlet & every fake Iranian opposition figure claiming to be the enemy of the Islamic Regime imposed a TOTAL BLACKOUT on this man. WHY? Because his truth threatened the ENTIRE operation of the globalists that they all work for. His revelation didn't just turn the board over. It blew the whole operation WIDE OPEN! Iran is not controlled by one group. Iran is controlled by a Globalist syndicate of intelligence operatives from dozens of countries that all sit at the SAME table. Britain, Germany, France, China and the Deep State CIA/Mossad. Every major power has its man sitting in Tehran, every single one of them owning a piece of this PLUNDER. But snakes in the same pit don’t bite one another & the decision of that room is ABSOLUTE LAW. Reza Pahlavi & Hassan Rouhani are two actors reading the same script for them. One says he is the problem, the other the solution. Their strings are drawn by the same hands. When the elites saw millions of Iranians rising up under the leadership of the Restart Leader, backed by President Trump to take back their country, they PANICKED!! They decided to do a “staged revolution,” taking the rage of the ignorant masses and pulling them into the street for a staged coup, and then using that to put in a new puppet and spinning the wheel again. The engineered uprisings fell, one after another. Seeing their total defeat impending these PURE DEVILS unleashed their unfiltered rage in the brutal slaughter of innocent people. If you haven't figured out who we are actually fighting in THE WAR WITH IRAN by now. Seyed Mohammad Hosseini has just revealed the actual size of this battlefield and the secret behind it, shatters everything you thought you knew about the war. Not only is President Trump taking on Iran, he is dismantling a global coalition of 24 COUNTRIES. Iran is the Globalist Communist Cabal's ACHILLES heel. They have spun their web of control through Tehran and they are not about to let go of it. Let America withdraw from NATO and see the alliance FALL APART… tear up billion dollar deals across the Persian Gulf… impose a total blockade on the Strait of Hormuz and suffer the crushing economic ruin… they would just as soon choose ALL OF THESE as ever surrender Iran. You know, this is not just another political chess piece to [Them]. When [They] will burn the world to save just one asset. You’re looking at the SPINAL CORD of their entire global operation, and President Trump is snapping it in half. This war is directly related to draining the SWAMP- the second the Iranian regime falls, domestic ARRESTS begin. That's why the New York Times, CNN and every fake news outlet would rather spin an Iranian surrender as an American defeat than tell you the truth about what President Trump is actually winning. If you still think this is a regional conflict WAKE UP! Leading the charge are the two men, President Trump & the Restart Leader. Watching from the shadows is President Putin. This is an alliance they can not answer for and it scares them to the bone!! Mr Pool

Paul White Gold Eagle

24,257 görüntüleme • 1 ay önce

Make Something Wonderful is 250 pages of Steve Jobs in his own words, speaking directly to you. The book contains some of Steve's ideas that I've never found anywhere else. Notes from the book: 1. He didn't care about being right. He cared about being excellent. 2. His mind was never a captive of reality. 3. He said working with great people gives you access to wisdom that you can't buy for love or money. 4. He believed technology should be streamlined and practical, simple and sophisticated, and that it should be a tool for enhancing creativity as much as productivity. 5. He believed you should ambush your customers. Meet them where they are. 6. His ideas were not arguments, but intuitions. He had a true inner freedom and an epic sense of possibility. 7. He gave an extraordinary amount of thought to how best to use our fleeting time. 8. By the time he was thirty he was the public face of a Fortune 500 company. 9. At Apple’s first board meeting he put his bare feet on a conference room table. 10. He said you should think of your life as a rainbow arching across the horizon of this world. You appear, have a chance to blaze in the sky, then you disappear. 11. He possessed unbelievable rigor that he imposed first, and most strenuously, on himself. 12. He saw clearly (1) what was not there, (2) what could be there, (3) what had to be there. 13. He said early Apple employees were more like poets and painters than cold technologists. That the passion they put into their products were completely indistinguishable from other creative fields. He said their work was a form of love. 14. He had a verbal mastery that was obvious at a young age. He used simple, descriptive language, told stories, and repeated lines and ideas that were important. 15. He thought it was inevitable that computers would be the dominant medium of human communication. He said this in 1983. 16. He had a talent for spotting markets full of second-rate products. 17. He said you could tell how important a product was based on the amount of time people spent interacting with it. As a result he thought it was inevitable that more design talent would shift from the automobile (1 or 2 hours a day) to computers (6+ hours a day). He said this in the 80s. 18. He said that books kept him out of jail and that it’s a shame there are so many mediocre teachers. 19. Like many great entrepreneurs before him, Steve knew what he wanted to do, but didn't know how to do it yet. He said he wanted to make an insanely great computer that was the size of a book. What he described sounded a lot like an iPad. He said this in the 80s. 20. He believed that you should use your unique set of talents to make things that make the lives of other people better. Most people just take. He said "the ability to put something back into the pool of human experience is extremely neat." 21. He would tell his team “You work for Apple first and your boss second.” He felt strongly about that. 22. He was constantly placing the products he was making in a historical perspective, like comparing the Macintosh to the invention of the telephone. 23. He believed you needed to give yourself more time to make mistakes. He said his taste got more refined as he made mistakes. He said that making mistakes over a long period of time made his aesthetics better. 24. He said the key ingredient to making something great was time. 25. He said he wanted to spend his life building things. He could have retired to a beach in his 20s and thought that was disgusting. 26. He was interested in learning how to hone a company down to its essence. 27. You read this book and a thought jumps out at you: How many people are willing to go through a decade of failure without quitting? Steve had the capacity to take pain. 28. He believed it was better to focus on what you're actually passionate about, instead of what you think will make you the most money. He made the most money that way. 29. He listened to older, wiser entrepreneurs and let them shape and mold his thinking. 30. He wasn't afraid to fail, but had to coach himself to adopt that trait. He didn't want to fail, but he wasn't afraid of it. 31. He said don't let your differentiation evaporate. 32. He said if you let your differentiation evaporate the only solution is innovation. 33. He believed great ideas don't map onto corporate hierarchy. 34. He was incapable of thinking that his work and his life were different, separate things. 35. He said the most important things in life are not the goal-oriented, materialistic things. He said you should tap into the world’s magical, mystical, and artistic sides. 36. He paid attention to subtle insights. He was guided by intuition. 37. He didn't believe in the concept or a career, or think it was wise to follow well-worn paths laid out by others. 38. He said most people make the mistake of not thinking about death. He said: "For me it’s the opposite: to know my arc will fall, makes me want to blaze while I am in the sky." 39. He thought Walt Disney had a great idea: Edit before you make it. 40. He said no amount of technology can turn a bad story into a good story. 41. He believed storytellers were the most powerful people in the world. 42. He believed if you didn't have great people you were doomed. 43. He found great people by looking at great results and finding out who was responsible for them. 44. This is how he interviewed people: "In an interview I will purposely upset someone: I’ll criticize their prior work. I’ll do my homework, find out what they worked on and say, “God, that really turned out to be a bomb. That really turned out to be a bozo product. Why did you work on that?” The worst thing that someone can do in an interview is to agree with me and knuckle under. What I look for is for someone to come right back and say, “You’re dead wrong and here’s why.” 45. He believed the job of the leader was to make sure the work is as good as it should be, and to get people to stretch beyond their best. 46. He believed the job of the leader was to cajole, and beg, and plead, and threaten at times—to do whatever is necessary to get people to see things in a bigger and more profound way and to have them do better work than they thought they could do. 47. He believed the priorities of the leader were (1) recruit, (2) set an overall direction, and (3) inspire and cajole and persuade. 48. He believed a creative company should have a risk-taking, creative environment on the product side and a fiscally conservative environment on the business side. 49. He believed you have to choose what you put your love into really carefully. 50. He had a remarkably consistent set of values that he held dear: Life is short; don’t waste it. Tell the truth. Technology should enhance human creativity. Process matters. Beauty matters. Details matter. The world we know is a human creation—and we can push it forward. 51. He thought when deciding what to work on that you should ask yourself: "What do I give a shit about?" And then go do that. 52. He would never sell Apple. Not for all the money in the world. 53. He believed you should master the basics, simplify the product line, and focus on the gems. 54. He believed marketing was about values. That the world is noisy and you should focus on telling customers what you believe in and what you stand for. 55. He believed one way to invest in yourself is by exploring uncharted paths that are different from your past experiences. You know it's an uncharted path when you have no idea where it will lead. 56. He believed that people that think they’re following a safe path pay the highest price of all. They won't realize it for a decade or two — and by then it's too late. 57. He didn't believe in resting on laurels or sleeping on wins. Make something great. Then do it again. 58. He imagined what reality lacked and set out to remedy it. 59. He believed in straight forward, clear communication. If the work isn't good enough you have to tell them straight: "This isn't good enough. I know you can do better. You need to do better. Now go do better." 60. He remained driven by a mission to "put something back into the pool of human experience." 61. He believed in the basics: great product, great marketing, great distribution. 62. He believed you must keep up with innovations in distribution. 63. He believed brands take decades to build. 64. He would capture the evolution of his own thinking by emailing himself. 65. He viewed Apple has the world's premier bridge builder between normal people and the exploding world of high technology. 66. He wanted to demystify technology. 67. He believed excellence was a habit and we are what we repeatedly do. 68. He believed you should be curious about what came before you and you should spend time to learn about it. 69. He believed you simply could not mix messages when selling something new. A customer can barely handle one great new idea, let alone several. 70. He said it's a circus world and you'll never know what's around the next corner. 71. He believed in management by values. Which means (1) find people that want the same things you want and (2) figure out the best way to get those things along the way. 72. He believed in the mantra: Finding the right people is half the battle. 73. He said you can't plan to meet the people who will change your life. 74. He believed everything is temporary — there is no such thing as safety. 75. He believed that your life is a story and that you should remember that your life is a story and that you should always act like your life is a story. 76. He believed in rejecting dogma, which he defined as living with the results of other people's thinking. He said that dogma can be so loud that it can drown out your own inner voice and you should avoid this. 77. He believed a great place to start was by improving a product you hate. If you can make something you love, you can convince other people to love it too. 78. He said all glory is fleeting and you should just get back to making something wonderful. I'm really proud of the episode I made about this book. You'll learn a lot from Steve by listening to it. You can watch/listen to it in full here, or in your favorite podcast app.
2:01:22

Make Something Wonderful is 250 pages of Steve Jobs in his own words, speaking directly to you. The book contains some of Steve's ideas that I've never found anywhere else. Notes from the book: 1. He didn't care about being right. He cared about being excellent. 2. His mind was never a captive of reality. 3. He said working with great people gives you access to wisdom that you can't buy for love or money. 4. He believed technology should be streamlined and practical, simple and sophisticated, and that it should be a tool for enhancing creativity as much as productivity. 5. He believed you should ambush your customers. Meet them where they are. 6. His ideas were not arguments, but intuitions. He had a true inner freedom and an epic sense of possibility. 7. He gave an extraordinary amount of thought to how best to use our fleeting time. 8. By the time he was thirty he was the public face of a Fortune 500 company. 9. At Apple’s first board meeting he put his bare feet on a conference room table. 10. He said you should think of your life as a rainbow arching across the horizon of this world. You appear, have a chance to blaze in the sky, then you disappear. 11. He possessed unbelievable rigor that he imposed first, and most strenuously, on himself. 12. He saw clearly (1) what was not there, (2) what could be there, (3) what had to be there. 13. He said early Apple employees were more like poets and painters than cold technologists. That the passion they put into their products were completely indistinguishable from other creative fields. He said their work was a form of love. 14. He had a verbal mastery that was obvious at a young age. He used simple, descriptive language, told stories, and repeated lines and ideas that were important. 15. He thought it was inevitable that computers would be the dominant medium of human communication. He said this in 1983. 16. He had a talent for spotting markets full of second-rate products. 17. He said you could tell how important a product was based on the amount of time people spent interacting with it. As a result he thought it was inevitable that more design talent would shift from the automobile (1 or 2 hours a day) to computers (6+ hours a day). He said this in the 80s. 18. He said that books kept him out of jail and that it’s a shame there are so many mediocre teachers. 19. Like many great entrepreneurs before him, Steve knew what he wanted to do, but didn't know how to do it yet. He said he wanted to make an insanely great computer that was the size of a book. What he described sounded a lot like an iPad. He said this in the 80s. 20. He believed that you should use your unique set of talents to make things that make the lives of other people better. Most people just take. He said "the ability to put something back into the pool of human experience is extremely neat." 21. He would tell his team “You work for Apple first and your boss second.” He felt strongly about that. 22. He was constantly placing the products he was making in a historical perspective, like comparing the Macintosh to the invention of the telephone. 23. He believed you needed to give yourself more time to make mistakes. He said his taste got more refined as he made mistakes. He said that making mistakes over a long period of time made his aesthetics better. 24. He said the key ingredient to making something great was time. 25. He said he wanted to spend his life building things. He could have retired to a beach in his 20s and thought that was disgusting. 26. He was interested in learning how to hone a company down to its essence. 27. You read this book and a thought jumps out at you: How many people are willing to go through a decade of failure without quitting? Steve had the capacity to take pain. 28. He believed it was better to focus on what you're actually passionate about, instead of what you think will make you the most money. He made the most money that way. 29. He listened to older, wiser entrepreneurs and let them shape and mold his thinking. 30. He wasn't afraid to fail, but had to coach himself to adopt that trait. He didn't want to fail, but he wasn't afraid of it. 31. He said don't let your differentiation evaporate. 32. He said if you let your differentiation evaporate the only solution is innovation. 33. He believed great ideas don't map onto corporate hierarchy. 34. He was incapable of thinking that his work and his life were different, separate things. 35. He said the most important things in life are not the goal-oriented, materialistic things. He said you should tap into the world’s magical, mystical, and artistic sides. 36. He paid attention to subtle insights. He was guided by intuition. 37. He didn't believe in the concept or a career, or think it was wise to follow well-worn paths laid out by others. 38. He said most people make the mistake of not thinking about death. He said: "For me it’s the opposite: to know my arc will fall, makes me want to blaze while I am in the sky." 39. He thought Walt Disney had a great idea: Edit before you make it. 40. He said no amount of technology can turn a bad story into a good story. 41. He believed storytellers were the most powerful people in the world. 42. He believed if you didn't have great people you were doomed. 43. He found great people by looking at great results and finding out who was responsible for them. 44. This is how he interviewed people: "In an interview I will purposely upset someone: I’ll criticize their prior work. I’ll do my homework, find out what they worked on and say, “God, that really turned out to be a bomb. That really turned out to be a bozo product. Why did you work on that?” The worst thing that someone can do in an interview is to agree with me and knuckle under. What I look for is for someone to come right back and say, “You’re dead wrong and here’s why.” 45. He believed the job of the leader was to make sure the work is as good as it should be, and to get people to stretch beyond their best. 46. He believed the job of the leader was to cajole, and beg, and plead, and threaten at times—to do whatever is necessary to get people to see things in a bigger and more profound way and to have them do better work than they thought they could do. 47. He believed the priorities of the leader were (1) recruit, (2) set an overall direction, and (3) inspire and cajole and persuade. 48. He believed a creative company should have a risk-taking, creative environment on the product side and a fiscally conservative environment on the business side. 49. He believed you have to choose what you put your love into really carefully. 50. He had a remarkably consistent set of values that he held dear: Life is short; don’t waste it. Tell the truth. Technology should enhance human creativity. Process matters. Beauty matters. Details matter. The world we know is a human creation—and we can push it forward. 51. He thought when deciding what to work on that you should ask yourself: "What do I give a shit about?" And then go do that. 52. He would never sell Apple. Not for all the money in the world. 53. He believed you should master the basics, simplify the product line, and focus on the gems. 54. He believed marketing was about values. That the world is noisy and you should focus on telling customers what you believe in and what you stand for. 55. He believed one way to invest in yourself is by exploring uncharted paths that are different from your past experiences. You know it's an uncharted path when you have no idea where it will lead. 56. He believed that people that think they’re following a safe path pay the highest price of all. They won't realize it for a decade or two — and by then it's too late. 57. He didn't believe in resting on laurels or sleeping on wins. Make something great. Then do it again. 58. He imagined what reality lacked and set out to remedy it. 59. He believed in straight forward, clear communication. If the work isn't good enough you have to tell them straight: "This isn't good enough. I know you can do better. You need to do better. Now go do better." 60. He remained driven by a mission to "put something back into the pool of human experience." 61. He believed in the basics: great product, great marketing, great distribution. 62. He believed you must keep up with innovations in distribution. 63. He believed brands take decades to build. 64. He would capture the evolution of his own thinking by emailing himself. 65. He viewed Apple has the world's premier bridge builder between normal people and the exploding world of high technology. 66. He wanted to demystify technology. 67. He believed excellence was a habit and we are what we repeatedly do. 68. He believed you should be curious about what came before you and you should spend time to learn about it. 69. He believed you simply could not mix messages when selling something new. A customer can barely handle one great new idea, let alone several. 70. He said it's a circus world and you'll never know what's around the next corner. 71. He believed in management by values. Which means (1) find people that want the same things you want and (2) figure out the best way to get those things along the way. 72. He believed in the mantra: Finding the right people is half the battle. 73. He said you can't plan to meet the people who will change your life. 74. He believed everything is temporary — there is no such thing as safety. 75. He believed that your life is a story and that you should remember that your life is a story and that you should always act like your life is a story. 76. He believed in rejecting dogma, which he defined as living with the results of other people's thinking. He said that dogma can be so loud that it can drown out your own inner voice and you should avoid this. 77. He believed a great place to start was by improving a product you hate. If you can make something you love, you can convince other people to love it too. 78. He said all glory is fleeting and you should just get back to making something wonderful. I'm really proud of the episode I made about this book. You'll learn a lot from Steve by listening to it. You can watch/listen to it in full here, or in your favorite podcast app.

David Senra

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