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Boost FPS + Reduce Stutters in Apex Legends for Free Open PTU ➡️ Resources Run Automated Driver Reinstall Start to Finish then Runtime/DirectX Installer and System Corrupt Check until finished Do Shown General Tweaks Restart & Enjoy Download👇 ❤️+ ♻️

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Someone told me her LLC was approved before she finished her second coffee. I thought she was exaggerating. Then I tried it. 20 minutes. $20. Company done. The legal world has been charging 500 to 2,000+ for something that should've been automated years ago. Lawyers going back and forth. Confusing government portals. Hidden fees everywhere. Getting charged extra for basic things like registered agent and mail forwarding. Lovie.co launched to put an end to all that. It's not a form you fill out. It's a conversation. You describe what you're building. Lovie suggests the right company type. Picks the best state. Prepares all the documents. Explains everything in normal words. Submits it to the state. Helps with your EIN from the IRS. Sets up your registered agent. Starts tracking compliance deadlines. All for $20 a month. Here's what's included: → Formation paperwork for whatever you need — LLC, C-Corp, etc. → State filing fees covered → EIN application help → 3 years of registered agent service → Digital mail scanning and forwarding → Compliance tracking so state deadlines don't sneak up on you → All future products free — banking, invoicing, bookkeeping, payments Their comparison page tells you everything. Stripe Atlas gives you an agent for one year, no mail service. LegalZoom wants 249 a year for the agent,20 a month for mail, extra for EIN. Doola locks you into annual billing and charges more for bookkeeping. Clerky doesn't do agent or mail or ongoing support. Lovie just includes it all. One price. No surprises. Launching today. Used by founders, freelancers, agency owners, ecommerce folks, and people outside the US who want a Delaware company. And check out the product hunt launch here: 👇 Drop "LOVIE" below. I'll send you the link. Free to start. No credit card. ♻️ Repost for the friend who's been saying "I should really form an LLC" for six months straight.
1:41

Someone told me her LLC was approved before she finished her second coffee. I thought she was exaggerating. Then I tried it. 20 minutes. $20. Company done. The legal world has been charging 500 to 2,000+ for something that should've been automated years ago. Lawyers going back and forth. Confusing government portals. Hidden fees everywhere. Getting charged extra for basic things like registered agent and mail forwarding. Lovie.co launched to put an end to all that. It's not a form you fill out. It's a conversation. You describe what you're building. Lovie suggests the right company type. Picks the best state. Prepares all the documents. Explains everything in normal words. Submits it to the state. Helps with your EIN from the IRS. Sets up your registered agent. Starts tracking compliance deadlines. All for $20 a month. Here's what's included: → Formation paperwork for whatever you need — LLC, C-Corp, etc. → State filing fees covered → EIN application help → 3 years of registered agent service → Digital mail scanning and forwarding → Compliance tracking so state deadlines don't sneak up on you → All future products free — banking, invoicing, bookkeeping, payments Their comparison page tells you everything. Stripe Atlas gives you an agent for one year, no mail service. LegalZoom wants 249 a year for the agent,20 a month for mail, extra for EIN. Doola locks you into annual billing and charges more for bookkeeping. Clerky doesn't do agent or mail or ongoing support. Lovie just includes it all. One price. No surprises. Launching today. Used by founders, freelancers, agency owners, ecommerce folks, and people outside the US who want a Delaware company. And check out the product hunt launch here: 👇 Drop "LOVIE" below. I'll send you the link. Free to start. No credit card. ♻️ Repost for the friend who's been saying "I should really form an LLC" for six months straight.

Anuj

14,395 Aufrufe • vor 3 Monaten

This is Professor Ellen Rungani, the daughter of the Zimbabwean national hero buried two days ago, Brigadier-General Victor Chikudo Rungani. She is explaining how her father died, three hospitals could not provide him with a mere ventilator. General Victor Chikudo Rungani was 76 years old when he passed away at Mbuya Dorcas Hospital in Harare on April 22. He was honoured with a national hero’s burial at the National Heroes Acre. His wife, Senator Anna Rungani, is a member of the Zimbabwean Parliament under the ruling ZANUPF party, this is no ordinary Zimbabwean family, they are part of the pollical elite class of Zimbabwe. When the general fell ill, he was taken to a military hospital in Harare at Josiah Magama Tongogara Barracks, formerly known as KG6—short for King George VI, after whom the barracks were originally named. The military hospital there was so ill-equipped that it lacked the most basic medical equipment he needed, a ventilator. The military hospital could only provide a nebuliser, something that you and I can buy over the counter in a pharmacy. A nebuliser is a medical device used to administer medication in the form of a mist, which is inhaled into the lungs. It is commonly used for people with respiratory conditions such as asthma and other lung diseases. The general was then taken to Zimbabwe’s largest public health facility, the Parirenyatwa Group of Hospitals, but still, no ventilator was available for him there. He was stuck there for days without a ventilator. He was subsequently taken to Westend Hospital, whose medical resources running into multiple millions of dollars were looted and plundered by government officials, including the President’s spokesman, George Charamba; yet again, no ventilator was found for the general to save his wife. Finally, he was taken to the ZAOGA church-owned Mbuya Dorcas Hospital in Harare’s Waterfalls suburb. By then, it was too late. The general died there simply because the public hospitals had no ventilators for him to use, and as a result, he caught a respiratory infection that probably killed him. When I speak about the importance of equipping public hospitals, it is because moments like this inevitably arise, where people die needlessly. I say these things because these public hospitals serve all of us regardless of political party affiliation or views, Despite being a general, a decorated war veteran and hero, an illustrious soldier and the husband of a senator, Brigadier-General Victor Chikudo Rungani died because Emmerson Mnangagwa has deliberately failed to provide basic medical equipment in public hospitals, due to the corruption he presides over as the Godfather of looting cartels. The NovaVent ventilator costs only US$500, and a standard low end hospital ventilator starts from around US$5,000, yet none was available to save this illustrious war hero and highly decorated general whose wife is a ZANUPF senator. All because Zimbabwe has a corrupt president who does not care about the citizens and only cares about looting public funds and enriching his family and inner circle of his clansmen. Seven years ago, I warned Zimbabweans that the entire country had only seven ventilators, mostly in private hospitals. Nobody in politics and authority listened and did something about my warning. Two years later, after my ominous warning, COVID-19 struck, and the first person to die because there was no ventilator was up-and-coming highly talented broadcaster, Zororo Makamba, who passed away on 23 March 2020. His father, James Makamba, is currently a ZANUPF Member of Parliament representing Mashonaland Central Province. I repeated the same call again a day after Zororo had died. I reminded Zimbabweans that one Range Rover can buy 80 hospital ventilators, which cost US$5,000 each. Instead of hanging their heads in shame, Mnangagwa and his thugs sent me to jail without trial for saying these things. Since then, Mnangagwa’s regime has bought thousands of Range Rovers for his inner circle in government and state-owned enterprises, known in Zimbabwe as parastatals, yet only a US$5,000 ventilator was needed to save the life of the general! Very little has changed since I made my first call to action about equipping public hospitals with ventilators. More Zimbabweans will continue to die, in both high and low places, until Zimbabweans decide that enough is enough and demand and action sanity. Emmerson Mnangagwa and his two deputies, General Constantino Chiwenga and Kembo Mohadi, receive medical treatment abroad when they fall ill. The money they spend on a single hospital check-up in China, India, Dubai or South Africa could equip the military hospital or Parirenyatwa with ventilators and essential medical supplies, but they do not care, because it does not affect them! The stupidity of Zimbabwean leaders lies in their failure to understand that the money they spend on private jets to China, Dubai, India or South Africa looking for healthcare could equip all public hospitals with the very equipment they travel abroad for. They could be treated at home, and so could everyone else, but Mnangagwa doesn’t care at all about these life and death issues. The breathtaking stupidity of ZANUPF leaders, once predicted by Ian Smith and dismissed then as racist ranting, is now confirmed in Zimbabwe to the whole world daily. Now one of their own has died because they could not place a simple ventilator in a military hospital. Forget about public hospitals for us, the Povo, these ZANUPF leaders are so stupid they cannot even equip their own private military hospitals! What a useless and shameless bunch of clueless leaders! Things are so bad in Zimbabwean hospitals that South Africa had to evacuate one of its nationals by helicopter from Zimbabwe last week so they could receive proper yet basic medical attention. The tragic reality is that when I offered to supply this medical equipment to hospitals for free using my international networks and goodwill, the political class ganged up to demonise me, thinking I wanted to enter politics by helping people. To all those who did not understand why it is important to let those of us who have the capacity to equip these hospitals for free, this is your answer. Corrupt rule does not discriminate; it will find you regardless of who you are in society. You could be very wealthy, but if you are involved in a car accident in Murambinda or Tsholotsho, you will need emergency healthcare to stabilise you before being transferred to a hospital for the wealthy. You will not make it, you will die, along with all that money. Only because you didn’t realise the importance of equipping public hospitals for the poor and the ordinary when you still had the power to do so! I am sure you heard from the professor that her father, an illustrious war hero and military man, was taken to the private section of Parirenyatwa Public Hospital. This means that even the private section of this hospital, which used to be well equipped and where important political figures were once treated, has now collapsed too. Zimbabwe’s first post-colonial First Lady, Sally Mugabe, was treated there. The late Vice President Joshua Nkomo was treated there, as was the late Vice President Simon Muzenda. But under Mnangagwa, even the VIP section of this once-great hospital is now dilapidated and can’t provide for something so basic as a ventilator. Mnangagwa is so demented that he steals public money meant for hospitals, and when these high-profile figures die from his negligence and corrupt rule, he spends millions of state money on their funerals and burials. The state money used on the general’s funeral and burial was more than enough to have saved him and many other ordinary Zimbabweans, had the corrupt dictator simply invested in public hospitals. Meanwhile, the past, current and future victims of this man’s negligence are at the forefront of wanting him to continue misruling the country until 2030. Why, then, do we get angry when other nationalities call us stupid? Until Zimbabweans unite to fight this corrupt dictator as one, his political negligence and criminal misrule will continue to kill them one by one. Kuzvitambira kana kusazvitambira (ukuzamukela noma ukungamukeli), the truth remains what it is, factual!
2:51

This is Professor Ellen Rungani, the daughter of the Zimbabwean national hero buried two days ago, Brigadier-General Victor Chikudo Rungani. She is explaining how her father died, three hospitals could not provide him with a mere ventilator. General Victor Chikudo Rungani was 76 years old when he passed away at Mbuya Dorcas Hospital in Harare on April 22. He was honoured with a national hero’s burial at the National Heroes Acre. His wife, Senator Anna Rungani, is a member of the Zimbabwean Parliament under the ruling ZANUPF party, this is no ordinary Zimbabwean family, they are part of the pollical elite class of Zimbabwe. When the general fell ill, he was taken to a military hospital in Harare at Josiah Magama Tongogara Barracks, formerly known as KG6—short for King George VI, after whom the barracks were originally named. The military hospital there was so ill-equipped that it lacked the most basic medical equipment he needed, a ventilator. The military hospital could only provide a nebuliser, something that you and I can buy over the counter in a pharmacy. A nebuliser is a medical device used to administer medication in the form of a mist, which is inhaled into the lungs. It is commonly used for people with respiratory conditions such as asthma and other lung diseases. The general was then taken to Zimbabwe’s largest public health facility, the Parirenyatwa Group of Hospitals, but still, no ventilator was available for him there. He was stuck there for days without a ventilator. He was subsequently taken to Westend Hospital, whose medical resources running into multiple millions of dollars were looted and plundered by government officials, including the President’s spokesman, George Charamba; yet again, no ventilator was found for the general to save his wife. Finally, he was taken to the ZAOGA church-owned Mbuya Dorcas Hospital in Harare’s Waterfalls suburb. By then, it was too late. The general died there simply because the public hospitals had no ventilators for him to use, and as a result, he caught a respiratory infection that probably killed him. When I speak about the importance of equipping public hospitals, it is because moments like this inevitably arise, where people die needlessly. I say these things because these public hospitals serve all of us regardless of political party affiliation or views, Despite being a general, a decorated war veteran and hero, an illustrious soldier and the husband of a senator, Brigadier-General Victor Chikudo Rungani died because Emmerson Mnangagwa has deliberately failed to provide basic medical equipment in public hospitals, due to the corruption he presides over as the Godfather of looting cartels. The NovaVent ventilator costs only US$500, and a standard low end hospital ventilator starts from around US$5,000, yet none was available to save this illustrious war hero and highly decorated general whose wife is a ZANUPF senator. All because Zimbabwe has a corrupt president who does not care about the citizens and only cares about looting public funds and enriching his family and inner circle of his clansmen. Seven years ago, I warned Zimbabweans that the entire country had only seven ventilators, mostly in private hospitals. Nobody in politics and authority listened and did something about my warning. Two years later, after my ominous warning, COVID-19 struck, and the first person to die because there was no ventilator was up-and-coming highly talented broadcaster, Zororo Makamba, who passed away on 23 March 2020. His father, James Makamba, is currently a ZANUPF Member of Parliament representing Mashonaland Central Province. I repeated the same call again a day after Zororo had died. I reminded Zimbabweans that one Range Rover can buy 80 hospital ventilators, which cost US$5,000 each. Instead of hanging their heads in shame, Mnangagwa and his thugs sent me to jail without trial for saying these things. Since then, Mnangagwa’s regime has bought thousands of Range Rovers for his inner circle in government and state-owned enterprises, known in Zimbabwe as parastatals, yet only a US$5,000 ventilator was needed to save the life of the general! Very little has changed since I made my first call to action about equipping public hospitals with ventilators. More Zimbabweans will continue to die, in both high and low places, until Zimbabweans decide that enough is enough and demand and action sanity. Emmerson Mnangagwa and his two deputies, General Constantino Chiwenga and Kembo Mohadi, receive medical treatment abroad when they fall ill. The money they spend on a single hospital check-up in China, India, Dubai or South Africa could equip the military hospital or Parirenyatwa with ventilators and essential medical supplies, but they do not care, because it does not affect them! The stupidity of Zimbabwean leaders lies in their failure to understand that the money they spend on private jets to China, Dubai, India or South Africa looking for healthcare could equip all public hospitals with the very equipment they travel abroad for. They could be treated at home, and so could everyone else, but Mnangagwa doesn’t care at all about these life and death issues. The breathtaking stupidity of ZANUPF leaders, once predicted by Ian Smith and dismissed then as racist ranting, is now confirmed in Zimbabwe to the whole world daily. Now one of their own has died because they could not place a simple ventilator in a military hospital. Forget about public hospitals for us, the Povo, these ZANUPF leaders are so stupid they cannot even equip their own private military hospitals! What a useless and shameless bunch of clueless leaders! Things are so bad in Zimbabwean hospitals that South Africa had to evacuate one of its nationals by helicopter from Zimbabwe last week so they could receive proper yet basic medical attention. The tragic reality is that when I offered to supply this medical equipment to hospitals for free using my international networks and goodwill, the political class ganged up to demonise me, thinking I wanted to enter politics by helping people. To all those who did not understand why it is important to let those of us who have the capacity to equip these hospitals for free, this is your answer. Corrupt rule does not discriminate; it will find you regardless of who you are in society. You could be very wealthy, but if you are involved in a car accident in Murambinda or Tsholotsho, you will need emergency healthcare to stabilise you before being transferred to a hospital for the wealthy. You will not make it, you will die, along with all that money. Only because you didn’t realise the importance of equipping public hospitals for the poor and the ordinary when you still had the power to do so! I am sure you heard from the professor that her father, an illustrious war hero and military man, was taken to the private section of Parirenyatwa Public Hospital. This means that even the private section of this hospital, which used to be well equipped and where important political figures were once treated, has now collapsed too. Zimbabwe’s first post-colonial First Lady, Sally Mugabe, was treated there. The late Vice President Joshua Nkomo was treated there, as was the late Vice President Simon Muzenda. But under Mnangagwa, even the VIP section of this once-great hospital is now dilapidated and can’t provide for something so basic as a ventilator. Mnangagwa is so demented that he steals public money meant for hospitals, and when these high-profile figures die from his negligence and corrupt rule, he spends millions of state money on their funerals and burials. The state money used on the general’s funeral and burial was more than enough to have saved him and many other ordinary Zimbabweans, had the corrupt dictator simply invested in public hospitals. Meanwhile, the past, current and future victims of this man’s negligence are at the forefront of wanting him to continue misruling the country until 2030. Why, then, do we get angry when other nationalities call us stupid? Until Zimbabweans unite to fight this corrupt dictator as one, his political negligence and criminal misrule will continue to kill them one by one. Kuzvitambira kana kusazvitambira (ukuzamukela noma ukungamukeli), the truth remains what it is, factual!

Hopewell Chin’ono

106,075 Aufrufe • vor 1 Jahr

Elon Musk just described how the entire government operates in a single sentence. Musk: “Paying people to do nothing doesn’t make sense.” Then he told a Milton Friedman story that should terrify every bureaucrat on the payroll. Friedman watched workers digging ditches with shovels. He suggested they use excavators instead. Someone pushed back. “But then we’re going to lose a lot of jobs.” Musk: “Friedman says, well, in that case, why don’t you have them use teaspoons?” One sentence. That’s all it took to gut the entire logic of modern government. The teaspoon is not a punchline. It is the actual policy. Every agency that would cease to exist if it actually solved the problem it was created for. Every department that measures success by headcount instead of output. Every approval that routes through nine desks before someone can say yes. Teaspoons. The system doesn’t want excavators. Excavators finish the job. And a finished job is the one thing the system can’t afford. So it hands you a teaspoon. Calls it a career. Gives you a pension for never asking why the ditch took forty years. But this isn’t about laziness. It’s about control. A person digging with a teaspoon doesn’t have time to build something better. Doesn’t have the energy to question the plan. Doesn’t have a thought left to ask if the ditch even needed digging. Busy people don’t ask dangerous questions. That’s the point. The economy doesn’t run on productivity. It runs on the appearance of productivity. Millions of people sit at desks right now doing work a single script could replace by morning. They know it. Their managers know it. The people who sign their budgets know it. But the teaspoon stays in their hand. Because the moment you hand someone an excavator, they finish by noon. And a person with a free afternoon starts thinking. Starts building. Starts wondering why they needed permission to dig in the first place. That’s the thing the system can’t survive. Not unemployment. Free time. Musk didn’t tell a joke on Rogan. He described the longest con in modern governance. Keep them digging. Keep them busy. Keep the teaspoon in their hand so they never look up long enough to see the ditch was pointless from the start. Friedman told that story sixty years ago. He meant it as a warning. The system heard every word. It just made sure everyone kept calling it a joke so no one would recognize it as a confession.
1:01

Elon Musk just described how the entire government operates in a single sentence. Musk: “Paying people to do nothing doesn’t make sense.” Then he told a Milton Friedman story that should terrify every bureaucrat on the payroll. Friedman watched workers digging ditches with shovels. He suggested they use excavators instead. Someone pushed back. “But then we’re going to lose a lot of jobs.” Musk: “Friedman says, well, in that case, why don’t you have them use teaspoons?” One sentence. That’s all it took to gut the entire logic of modern government. The teaspoon is not a punchline. It is the actual policy. Every agency that would cease to exist if it actually solved the problem it was created for. Every department that measures success by headcount instead of output. Every approval that routes through nine desks before someone can say yes. Teaspoons. The system doesn’t want excavators. Excavators finish the job. And a finished job is the one thing the system can’t afford. So it hands you a teaspoon. Calls it a career. Gives you a pension for never asking why the ditch took forty years. But this isn’t about laziness. It’s about control. A person digging with a teaspoon doesn’t have time to build something better. Doesn’t have the energy to question the plan. Doesn’t have a thought left to ask if the ditch even needed digging. Busy people don’t ask dangerous questions. That’s the point. The economy doesn’t run on productivity. It runs on the appearance of productivity. Millions of people sit at desks right now doing work a single script could replace by morning. They know it. Their managers know it. The people who sign their budgets know it. But the teaspoon stays in their hand. Because the moment you hand someone an excavator, they finish by noon. And a person with a free afternoon starts thinking. Starts building. Starts wondering why they needed permission to dig in the first place. That’s the thing the system can’t survive. Not unemployment. Free time. Musk didn’t tell a joke on Rogan. He described the longest con in modern governance. Keep them digging. Keep them busy. Keep the teaspoon in their hand so they never look up long enough to see the ditch was pointless from the start. Friedman told that story sixty years ago. He meant it as a warning. The system heard every word. It just made sure everyone kept calling it a joke so no one would recognize it as a confession.

Dustin

348,111 Aufrufe • vor 3 Monaten

Busy day today! Today ~16,000 people flew in my free-to-play flight game made with AI 💸 Revenue update for after 10 days: +💬 19x Blimps sold at various prices = $38,000/mo + ✈️ 12x F16's sold @ $29.99 = ~$360 += $38,360/mo In-game ads are now $5,000/mo, if you want one, get them here: As I said b4, I will keep doubling the in-game ads price because I don't want the world to get too busy with ads and have to keep it exclusive!.Next $10K/mo then $20K/mo until we run out of people who want to buy them :D Today was busy mostly with installing all the sponsor ads in the game, I fixed: ✅ Playable now on low FPS ✅ Improved tank driving and turret aiming ✅ Improved rate of fire because it was slowing down when shooting ✅ Added proper refueling to 100% health if you land back at spawn point and make a full stop ✅ Installed lots of ads for all the sponsors (which was a lot of work because I didn't just wanna add blimps everywhere, I wanted some fun stuff for each sponsor) ✅ Added functioning radar on aircraft carrier (see vid) ✅ Added thank you to all sponsors on start (not load because it will never have load screens :D) screen Video games are definitely A LOT harder in many ways than regular apps, I have a new found respect for video game devs. The to-do list is about 10x to 100x as big as any SaaS app I've ever made! Also because it's so creative, the possibilities are just endless. For example Marc Köhlbrugge suggests "add a tank", I add a tank but then next I need to add a turret aiming system and next I get more ideas "let's add lots of vehicles" then "let's add walking mode". It's really fun but I get it better now how video games are infinity rabbit holes A lot of people ridicule my little game rn, and it's not great or perfect or anything yet I agree, but people play it and seem to have fun and I really do wanna make a cool flight game. I'm happy it makes some money already in its first month, which gives me more motivation to work on it! Next: [ ] 5-min or 10-min like rounds so scores reset [ ] interpolation for smooth planes (I know I know) [ ] I will try CannonJS real physics model library
0:58

Busy day today! Today ~16,000 people flew in my free-to-play flight game made with AI 💸 Revenue update for after 10 days: +💬 19x Blimps sold at various prices = $38,000/mo + ✈️ 12x F16's sold @ $29.99 = ~$360 += $38,360/mo In-game ads are now $5,000/mo, if you want one, get them here: As I said b4, I will keep doubling the in-game ads price because I don't want the world to get too busy with ads and have to keep it exclusive!.Next $10K/mo then $20K/mo until we run out of people who want to buy them :D Today was busy mostly with installing all the sponsor ads in the game, I fixed: ✅ Playable now on low FPS ✅ Improved tank driving and turret aiming ✅ Improved rate of fire because it was slowing down when shooting ✅ Added proper refueling to 100% health if you land back at spawn point and make a full stop ✅ Installed lots of ads for all the sponsors (which was a lot of work because I didn't just wanna add blimps everywhere, I wanted some fun stuff for each sponsor) ✅ Added functioning radar on aircraft carrier (see vid) ✅ Added thank you to all sponsors on start (not load because it will never have load screens :D) screen Video games are definitely A LOT harder in many ways than regular apps, I have a new found respect for video game devs. The to-do list is about 10x to 100x as big as any SaaS app I've ever made! Also because it's so creative, the possibilities are just endless. For example Marc Köhlbrugge suggests "add a tank", I add a tank but then next I need to add a turret aiming system and next I get more ideas "let's add lots of vehicles" then "let's add walking mode". It's really fun but I get it better now how video games are infinity rabbit holes A lot of people ridicule my little game rn, and it's not great or perfect or anything yet I agree, but people play it and seem to have fun and I really do wanna make a cool flight game. I'm happy it makes some money already in its first month, which gives me more motivation to work on it! Next: [ ] 5-min or 10-min like rounds so scores reset [ ] interpolation for smooth planes (I know I know) [ ] I will try CannonJS real physics model library

@levelsio

1,731,949 Aufrufe • vor 1 Jahr

👑For interfans, For interfans and For interfans🌪️ Hey interfans. Let’s get ready to watch the series live together. 🥳 🎯Don't forget, the best thing we can do as interfans is to focus all our energy on the official live broadcast, and then head straight over to iQIYI right after to catch the uncut. ✨To give you a clearer picture, check out the photos and clips attached. 🌻Here is the breakdown of my test run using 5 different devices to watch the live stream: 1⃣Google TV: BugabooTV app + VPN [Paid] 2⃣Samsung Tablet: TrueID app vs. BugabooTV app + VPN [Free] (Clip) 3⃣iPhone: BugabooTV app vs. TrueID web + VPN [Paid] (Clip) 4⃣Windows PC: TrueID web + VPN [Paid] 5⃣Macbook: TrueID web + VPN [Paid] 📢Just a quick heads-up: This is just my personal test and opinion. 🙌 My Recommendation: If you can access BugabooTV whether it's through their website, app, or the official Ch7HD website without any issues, please make that your number one choice. However, if you're struggling to get in, facing slow loading speeds, or the system keeps crashing, switching over to TrueID is a great alternative. And once the live show ends, let’s all move over to iQIYI together. ⚠️ Important Note: Please avoid watching through any other channels not mentioned above. They won't help boost the official live viewership stats at all. 💥If you are living outside of Thailand... you WILL need a VPN to watch via BugabooTV, CH7HD, or TrueID. The only exception is iQIYI (no VPN needed). 📥 App Download Links 🍎App Store (iOS) - BugabooTV : - CH7HD : - TrueID : - iQIYI : 🤖Play Store (Android) - BugabooTV : - CH7HD : - TrueID : - iQIYI : #เสน่หาวาโย #4Elements #บ้านวาทินวณิช #ฟรีนเบค #FreenBecky #srchafreen #beckysangels‌ #WikiFreenBecky
1:15

👑For interfans, For interfans and For interfans🌪️ Hey interfans. Let’s get ready to watch the series live together. 🥳 🎯Don't forget, the best thing we can do as interfans is to focus all our energy on the official live broadcast, and then head straight over to iQIYI right after to catch the uncut. ✨To give you a clearer picture, check out the photos and clips attached. 🌻Here is the breakdown of my test run using 5 different devices to watch the live stream: 1⃣Google TV: BugabooTV app + VPN [Paid] 2⃣Samsung Tablet: TrueID app vs. BugabooTV app + VPN [Free] (Clip) 3⃣iPhone: BugabooTV app vs. TrueID web + VPN [Paid] (Clip) 4⃣Windows PC: TrueID web + VPN [Paid] 5⃣Macbook: TrueID web + VPN [Paid] 📢Just a quick heads-up: This is just my personal test and opinion. 🙌 My Recommendation: If you can access BugabooTV whether it's through their website, app, or the official Ch7HD website without any issues, please make that your number one choice. However, if you're struggling to get in, facing slow loading speeds, or the system keeps crashing, switching over to TrueID is a great alternative. And once the live show ends, let’s all move over to iQIYI together. ⚠️ Important Note: Please avoid watching through any other channels not mentioned above. They won't help boost the official live viewership stats at all. 💥If you are living outside of Thailand... you WILL need a VPN to watch via BugabooTV, CH7HD, or TrueID. The only exception is iQIYI (no VPN needed). 📥 App Download Links 🍎App Store (iOS) - BugabooTV : - CH7HD : - TrueID : - iQIYI : 🤖Play Store (Android) - BugabooTV : - CH7HD : - TrueID : - iQIYI : #เสน่หาวาโย #4Elements #บ้านวาทินวณิช #ฟรีนเบค #FreenBecky #srchafreen #beckysangels‌ #WikiFreenBecky

🌵🏜FreenBecky's World🏜🌵

18,283 Aufrufe • vor 2 Monaten

Jeff Bezos just told you where all of Earth’s factories are going. Off the planet. Bezos: “If we want to keep growing our civilization and using more energy per person, we’re eventually going to have to move all of our heavy industry off Earth.” Not a thought experiment. An engineering conclusion. One he has held since childhood. Decades on the same problem. The same answer every time. Earth is too small. Not too small for today. Too small for what today becomes. Every year the species consumes more energy. More compute. More materials. More of everything. The curve does not flatten. It never has. It never will. The planet has a hard ceiling. Fixed energy. Fixed land. Fixed resources. A closed system with a growing appetite. You do not solve that by shrinking the appetite. You solve it by expanding the system. Bezos: “We have unlimited energy in space and unlimited material resources in space.” Unlimited. Not abundant. Not plentiful. Unlimited. The Sun outputs more energy in one second than humanity could burn in a million years. The asteroid belt holds more raw material than every mine ever dug on Earth. The Moon alone carries enough helium-3 and rare earth minerals to fuel industries that do not yet have names. All of it sitting there. Untouched. While nations bleed each other over the scraps. Bezos: “We can start to build factories in space. We can start to build data centers in space.” Factories that produce zero pollution on Earth. Data centers that draw zero power from the grid. Heavy industry that generates zero waste in the atmosphere. Not because the waste disappears. Because the waste happens somewhere it does not matter. Bezos: “This planet is so beautiful and so unusual. This is the one that we’re going to want to protect. There’s no planet B.” The environmentalists and the industrialists have been fighting the same war for fifty years. Grow or protect. Build or conserve. Economy or ecology. Bezos is telling you the war was always false. You do not choose between growth and preservation. You move the growth off-world and the preservation happens automatically. Earth becomes the residential zone. The garden. The one place where biology gets to breathe. Space becomes the factory floor. The power plant. The data center. The refinery. Every smokestack. Every cooling tower. Every server farm drawing gigawatts from the grid. All of it belongs in the vacuum where energy is free and there is no ecosystem to damage. Bezos: “I don’t know how soon it will happen. It’s a job that I won’t finish. Probably my children’s children won’t finish.” He is building something he will never see completed. That is not a business plan. That is a cathedral. The kind of project that takes generations. Where the person who lays the foundation never stands in the finished building. Most founders build for an exit. Bezos is building for a timeline that outlives his grandchildren. The interviewer called it fantastical. Bezos had one response. Bezos: “Go back in time a hundred years and show somebody your iPhone.” Everything that exists today was once fantastical. Flight. Satellites. The internet. A phone carrying the sum of human knowledge in your pocket. Every single one was impossible until the year it was not. Orbital factories sound like science fiction the same way video calls sounded like science fiction in 1950. The pattern never changes. Someone describes the future. Everyone calls it crazy. Then it ships. Then no one can explain what came before. Bezos is not guessing. He is reading the same pattern that has held every single time. And betting his life that this one is no different.
1:52

Jeff Bezos just told you where all of Earth’s factories are going. Off the planet. Bezos: “If we want to keep growing our civilization and using more energy per person, we’re eventually going to have to move all of our heavy industry off Earth.” Not a thought experiment. An engineering conclusion. One he has held since childhood. Decades on the same problem. The same answer every time. Earth is too small. Not too small for today. Too small for what today becomes. Every year the species consumes more energy. More compute. More materials. More of everything. The curve does not flatten. It never has. It never will. The planet has a hard ceiling. Fixed energy. Fixed land. Fixed resources. A closed system with a growing appetite. You do not solve that by shrinking the appetite. You solve it by expanding the system. Bezos: “We have unlimited energy in space and unlimited material resources in space.” Unlimited. Not abundant. Not plentiful. Unlimited. The Sun outputs more energy in one second than humanity could burn in a million years. The asteroid belt holds more raw material than every mine ever dug on Earth. The Moon alone carries enough helium-3 and rare earth minerals to fuel industries that do not yet have names. All of it sitting there. Untouched. While nations bleed each other over the scraps. Bezos: “We can start to build factories in space. We can start to build data centers in space.” Factories that produce zero pollution on Earth. Data centers that draw zero power from the grid. Heavy industry that generates zero waste in the atmosphere. Not because the waste disappears. Because the waste happens somewhere it does not matter. Bezos: “This planet is so beautiful and so unusual. This is the one that we’re going to want to protect. There’s no planet B.” The environmentalists and the industrialists have been fighting the same war for fifty years. Grow or protect. Build or conserve. Economy or ecology. Bezos is telling you the war was always false. You do not choose between growth and preservation. You move the growth off-world and the preservation happens automatically. Earth becomes the residential zone. The garden. The one place where biology gets to breathe. Space becomes the factory floor. The power plant. The data center. The refinery. Every smokestack. Every cooling tower. Every server farm drawing gigawatts from the grid. All of it belongs in the vacuum where energy is free and there is no ecosystem to damage. Bezos: “I don’t know how soon it will happen. It’s a job that I won’t finish. Probably my children’s children won’t finish.” He is building something he will never see completed. That is not a business plan. That is a cathedral. The kind of project that takes generations. Where the person who lays the foundation never stands in the finished building. Most founders build for an exit. Bezos is building for a timeline that outlives his grandchildren. The interviewer called it fantastical. Bezos had one response. Bezos: “Go back in time a hundred years and show somebody your iPhone.” Everything that exists today was once fantastical. Flight. Satellites. The internet. A phone carrying the sum of human knowledge in your pocket. Every single one was impossible until the year it was not. Orbital factories sound like science fiction the same way video calls sounded like science fiction in 1950. The pattern never changes. Someone describes the future. Everyone calls it crazy. Then it ships. Then no one can explain what came before. Bezos is not guessing. He is reading the same pattern that has held every single time. And betting his life that this one is no different.

Dustin

30,154 Aufrufe • vor 4 Monaten

Don't Buy a Mac Mini for Clawdbot: The Secret $10,000 Architecture That Costs You Nothing clawdbot might be the reason you feel like you need a ten thousand dollar computer right now but i am about to show you why that fomo is going to leave you broke. if you have been watching everyone rush out to buy mac minis and mac studios just to run open claw or some local models you are witnessing a massive transfer of wealth from your pocket to apple for no reason. there is a specific setup i use that costs almost nothing and keeps my main machine safe from whatever these autonomous agents are doing. if you stick with me i will walk you through the exact architecture of a professional trading system that handles the heavy lifting without you needing to drop a single rack on hardware most people are scared of running these bots on their main computer because they don't want an agent messing with their personal files or browser sessions. instead of buying a second mac mini for six hundred dollars you can just go to the top left of your screen and create a brand new user profile. this acts like a completely isolated sandbox where you can install all your trading tools and agents without them ever seeing your main data. it is essentially like getting a free computer for the price of five minutes of clicking around your settings but what if you aren't on a mac or you need to access your system while you are traveling without carrying three laptops in your backpack. this is where the first loop of professional automation starts to close because i use something called chrome remote desktop to bridge the gap. this allows me to leave a dedicated machine running in a safe place while i access the full desktop environment from a tablet or a cheap laptop anywhere in the world. it solves the mobility issue but it still doesn't solve the problem of those massive ten thousand dollar price tags for high end mac pros if you are a pc user or just someone who doesn't want to own physical hardware yet you should look into a windows vps through a provider like contabo. most developers will tell you to use a linux terminal but if you aren't a coder yet you need a visual interface you can actually see. getting a windows server allows you to log in and see a desktop just like your home computer for about fifteen dollars a month. i usually recommend at least twelve gigabytes of ram to keep things from getting janky when you are running multiple browser windows and agents at once now you might be thinking that the whole point of the big hardware was to run local models like kimi or glm to save on api costs. i spent years thinking i had to own the machines myself and i even spent hundreds of thousands on developers before i realized i could just do this myself. the secret to running those massive open source models without the ten thousand dollar investment is renting gpu power by the hour. sites like lambda labs let you spin up a monster machine that can run any model in existence for just a couple dollars an hour this is the ultimate pivot because it allows you to test if your strategy actually prints money before you commit to the hardware. you can turn the server on when you are iterating and turn it off the second you are done which keeps your overhead near zero. if you haven't proven that your bot can pay for itself yet then buying a mac studio is just an expensive hobby rather than a business move. there is a much bigger loophole involving the anthropic subscriptions that most people are completely overlooking right now right now i am using a specific plan with claude code that costs about two hundred dollars a month but it lets me run open claw all day without hitting api limits. if i were paying for those same tokens through the standard api i would probably be spending hundreds of dollars every single day. it is a massive cost savings that allows you to iterate and fail until you find a winning strategy without draining your bank account. even if they eventually close this loophole or snitch on the usage patterns it serves as the perfect training ground for a data dog the goal is to find a system that works with a smaller or cheaper model like haiku before you ever try to scale up to the heavy weights. if you can make a strategy profitable using a less intelligent and cheaper model then you know you have found real alpha. once you have that foundation you can decide if it finally makes sense to build your own custom pc rig which will always be half the price of an apple machine. i am an apple guy so i usually pay the tax anyway but i only do it once the system is already generating enough to cover the cost ten times over i believe that code is the great equalizer because it took me from losing money and getting liquidated to having fully automated systems doing the work for me. i had to learn to live with the iterations and the failures on youtube to get to this point of clarity. the universe tends to get out of your way once you make a non negotiable contract with yourself to see the process through to the end. you don't need the flashy hardware or the most expensive setup to start winning in this game stay focused on the logic and the data rather than the hype and the fomo that everyone else is falling for. if you can master the bridge between renting power and owning your logic you will be ahead of ninety nine percent of the people in this space. the path to a fully automated life isn't paved with expensive gadgets but with the discipline to iterate until the system finally prints
16:04

Don't Buy a Mac Mini for Clawdbot: The Secret $10,000 Architecture That Costs You Nothing clawdbot might be the reason you feel like you need a ten thousand dollar computer right now but i am about to show you why that fomo is going to leave you broke. if you have been watching everyone rush out to buy mac minis and mac studios just to run open claw or some local models you are witnessing a massive transfer of wealth from your pocket to apple for no reason. there is a specific setup i use that costs almost nothing and keeps my main machine safe from whatever these autonomous agents are doing. if you stick with me i will walk you through the exact architecture of a professional trading system that handles the heavy lifting without you needing to drop a single rack on hardware most people are scared of running these bots on their main computer because they don't want an agent messing with their personal files or browser sessions. instead of buying a second mac mini for six hundred dollars you can just go to the top left of your screen and create a brand new user profile. this acts like a completely isolated sandbox where you can install all your trading tools and agents without them ever seeing your main data. it is essentially like getting a free computer for the price of five minutes of clicking around your settings but what if you aren't on a mac or you need to access your system while you are traveling without carrying three laptops in your backpack. this is where the first loop of professional automation starts to close because i use something called chrome remote desktop to bridge the gap. this allows me to leave a dedicated machine running in a safe place while i access the full desktop environment from a tablet or a cheap laptop anywhere in the world. it solves the mobility issue but it still doesn't solve the problem of those massive ten thousand dollar price tags for high end mac pros if you are a pc user or just someone who doesn't want to own physical hardware yet you should look into a windows vps through a provider like contabo. most developers will tell you to use a linux terminal but if you aren't a coder yet you need a visual interface you can actually see. getting a windows server allows you to log in and see a desktop just like your home computer for about fifteen dollars a month. i usually recommend at least twelve gigabytes of ram to keep things from getting janky when you are running multiple browser windows and agents at once now you might be thinking that the whole point of the big hardware was to run local models like kimi or glm to save on api costs. i spent years thinking i had to own the machines myself and i even spent hundreds of thousands on developers before i realized i could just do this myself. the secret to running those massive open source models without the ten thousand dollar investment is renting gpu power by the hour. sites like lambda labs let you spin up a monster machine that can run any model in existence for just a couple dollars an hour this is the ultimate pivot because it allows you to test if your strategy actually prints money before you commit to the hardware. you can turn the server on when you are iterating and turn it off the second you are done which keeps your overhead near zero. if you haven't proven that your bot can pay for itself yet then buying a mac studio is just an expensive hobby rather than a business move. there is a much bigger loophole involving the anthropic subscriptions that most people are completely overlooking right now right now i am using a specific plan with claude code that costs about two hundred dollars a month but it lets me run open claw all day without hitting api limits. if i were paying for those same tokens through the standard api i would probably be spending hundreds of dollars every single day. it is a massive cost savings that allows you to iterate and fail until you find a winning strategy without draining your bank account. even if they eventually close this loophole or snitch on the usage patterns it serves as the perfect training ground for a data dog the goal is to find a system that works with a smaller or cheaper model like haiku before you ever try to scale up to the heavy weights. if you can make a strategy profitable using a less intelligent and cheaper model then you know you have found real alpha. once you have that foundation you can decide if it finally makes sense to build your own custom pc rig which will always be half the price of an apple machine. i am an apple guy so i usually pay the tax anyway but i only do it once the system is already generating enough to cover the cost ten times over i believe that code is the great equalizer because it took me from losing money and getting liquidated to having fully automated systems doing the work for me. i had to learn to live with the iterations and the failures on youtube to get to this point of clarity. the universe tends to get out of your way once you make a non negotiable contract with yourself to see the process through to the end. you don't need the flashy hardware or the most expensive setup to start winning in this game stay focused on the logic and the data rather than the hype and the fomo that everyone else is falling for. if you can master the bridge between renting power and owning your logic you will be ahead of ninety nine percent of the people in this space. the path to a fully automated life isn't paved with expensive gadgets but with the discipline to iterate until the system finally prints

Moon Dev

17,382 Aufrufe • vor 6 Monaten

Donchaab’s CEO: How the brand was born and where it’s heading 🍌 #OFFROAD #offroad_KTP #ออฟโรด โดนฉาบ The Origin of DonChaab 🚗: It started when my mom came to visit me from our hometown. She brought snacks I like, and one of them was banana chips. At first, I didn’t even know where she bought them. At that time, P’Ou was visiting too, and we finished all of them. Later, I told my fans about it, and they suggested launching pre-orders for the banana chips — probably around two years ago now. Back then, they were just in these clear plastic packages, without FDA approval or Halal certification. The goal was simply to support the auntie who made them. She was supporting her grandchildren and her disabled husband. So every time we opened pre-orders, it felt like we were giving hope to that family. In return, we felt fulfilled as givers. When the fans learned about this, they realized they were helping support the family too. I kept it going without thinking much about profits. Looking back, I think it was such a beautiful beginning. 🚗: Later, I decided to continue building on it and named the brand DonChaab. The inspiration for the name partly came from the song “Chaab,” which has a fun and cute vibe. I continued selling to fans until demand exceeded supply. They couldn’t produce enough, and orders fell behind. So I thought, let’s start this properly — and that’s how this was born 🍌✨ (shows the current DonChaab) — Nong DonChaab. The mascot’s name is Jao Chaab, proposed and voted on by the fans. (turns the package) And this is Nong’s back. From those clear plastic bags… to this ✨ today. 🚗: On the package, it says “Local Farmers Supported,” because Thailand is an agricultural nation. Many fruits are exported from Thailand, and I thought it would be really cool if Thai traditional fruit snacks could also reach overseas markets. Look — it even says “Product of Thailand” on the back, which I’m really proud of! 🚗: I launched the brand not long ago, and I’m still learning as I go — adjusting the packaging, the service system, the toppings, and everything else. That’s how the brand came to be — expanding from supporting one local farmer to supporting many. In general, not just for DonChaab, when you buy processed agricultural products like this, you help reduce waste. When supply exceeds demand, produce might go to waste. By turning them into processed products, they can instead be distributed to consumers. 🚗: The brand will definitely implement Corporate Social Responsibility (CSR) initiatives, but that depends on your support. A portion of the profits will be allocated toward CSR. As I said in one interview — as someone who has received so much, if one day I feel that I’ve received enough, I want to start giving back. Through this brand, fans get to enjoy the snacks, and I get to run the business my way — building my own team, creating opportunities for recent graduates and people of all ages, and shaping the kind of work environment I’ve always envisioned. 🍌// Currently, DonChaab can be ordered online at and is shipped domestically only. Orders are released in rounds, and the most recent one just closed. So keep an eye out for the next round! In the near future, international shipping may also become available. T/N: I skip some parts where he talks about the products, visit the website for more specific details!
6:36

Donchaab’s CEO: How the brand was born and where it’s heading 🍌 #OFFROAD #offroad_KTP #ออฟโรด โดนฉาบ The Origin of DonChaab 🚗: It started when my mom came to visit me from our hometown. She brought snacks I like, and one of them was banana chips. At first, I didn’t even know where she bought them. At that time, P’Ou was visiting too, and we finished all of them. Later, I told my fans about it, and they suggested launching pre-orders for the banana chips — probably around two years ago now. Back then, they were just in these clear plastic packages, without FDA approval or Halal certification. The goal was simply to support the auntie who made them. She was supporting her grandchildren and her disabled husband. So every time we opened pre-orders, it felt like we were giving hope to that family. In return, we felt fulfilled as givers. When the fans learned about this, they realized they were helping support the family too. I kept it going without thinking much about profits. Looking back, I think it was such a beautiful beginning. 🚗: Later, I decided to continue building on it and named the brand DonChaab. The inspiration for the name partly came from the song “Chaab,” which has a fun and cute vibe. I continued selling to fans until demand exceeded supply. They couldn’t produce enough, and orders fell behind. So I thought, let’s start this properly — and that’s how this was born 🍌✨ (shows the current DonChaab) — Nong DonChaab. The mascot’s name is Jao Chaab, proposed and voted on by the fans. (turns the package) And this is Nong’s back. From those clear plastic bags… to this ✨ today. 🚗: On the package, it says “Local Farmers Supported,” because Thailand is an agricultural nation. Many fruits are exported from Thailand, and I thought it would be really cool if Thai traditional fruit snacks could also reach overseas markets. Look — it even says “Product of Thailand” on the back, which I’m really proud of! 🚗: I launched the brand not long ago, and I’m still learning as I go — adjusting the packaging, the service system, the toppings, and everything else. That’s how the brand came to be — expanding from supporting one local farmer to supporting many. In general, not just for DonChaab, when you buy processed agricultural products like this, you help reduce waste. When supply exceeds demand, produce might go to waste. By turning them into processed products, they can instead be distributed to consumers. 🚗: The brand will definitely implement Corporate Social Responsibility (CSR) initiatives, but that depends on your support. A portion of the profits will be allocated toward CSR. As I said in one interview — as someone who has received so much, if one day I feel that I’ve received enough, I want to start giving back. Through this brand, fans get to enjoy the snacks, and I get to run the business my way — building my own team, creating opportunities for recent graduates and people of all ages, and shaping the kind of work environment I’ve always envisioned. 🍌// Currently, DonChaab can be ordered online at and is shipped domestically only. Orders are released in rounds, and the most recent one just closed. So keep an eye out for the next round! In the near future, international shipping may also become available. T/N: I skip some parts where he talks about the products, visit the website for more specific details!

Be~nyaa 💫

11,876 Aufrufe • vor 6 Monaten

Moneytaur study blueprint 🗺️ The process I used to go from not knowing what an order block is to pulling cash from the crypto markets in under 6 months using 🎯 Master concepts. Proof of performance, past 120 days👇 Start date: 09/03/2025 Requirements: - A PC/laptop - Wifi - A basic understanding of trading. ( What candlesticks are, how to actually place trades , etc ) - A free mind - Time or the ability to free up time. Starting: - Structure and routine - Stick to that routine + Pre mortem plan. - Notion / Obsidian setup. The first thing you need to create is a clear routine moulded around how you intend to approach this very large and complex task. This will not be linear and you will naturally adapt it as you progress but especially in the beginning some resemblance of structure each day is vital. This is an individual process but it is important to understand from the beginning that this will require a majority of your free time assuming you work a full time Job or study as a student. For me in the beginning this looked like: - Wake up at 6:30. - Shower - Study/work for 1h 45m before leaving for work. - 09:00 -> 17:00 work - 17:30 Exercise / Train - Eat - 19:00 resume study/work - 22:30 Start to wind down and get ready to sleep. It changed several times over the months and especially now I am full time but this is irrelevant, the only thing that matters is sticking with what you choose. Whatever your own routine may look like, it is important to understand it will inevitably require sacrifice. --- The next thing once you have established a draft framework of your routine is ensuring you will actually stick to that routine. Something I implemented which I found particularly beneficial was the concept of a Pre-Mortem plan. This involves creating several scenarios of a future in which you have failed and working backwards from each of these to find where it went wrong. Here is a video which explains it fully: When I did this I came up with 3 scenarios as well as prevention and cure for each. In the 6 months that followed each scenario presented at some point but I was able to catch them early due to having done this. The last thing is to not over complicate this, don't hyper focus on systems and loose momentum optimizing each detail. Just ensure you do the fucking work. I was a little guilty of the above at times, trying to craft the perfect routine. In reality the person who just gets up, drinks too much coffee and works his ass off out performs the workflow perfectionist who visualizes and repeats affirmations, any day of the week. --- Next you need somewhere to store your notes, journal your trades and build your knowledge. For me this was Obsidian but I have also used Notion before and it is an equally viable option. Whichever one of these you choose be warned you will inevitably want to bang your head against a wall trying to use them for the first few days, but they will both click pretty quick and are 100% better options the word document or paper alternative. Here is my full obsidian setup tutorial: Here is a link to MisterPA 's notion Journal: Here is how I create "Meta-Notes" using obsidian: The process: - How I did it. - How I would do it if doing it again. Now I did things the "hard way" and manually worked my way back through each of MT's tweets starting in 2021, reading every one and logging those that I felt where relevant. You can see in my first post: the very first system I used to do this. I quickly adapted though after about a week and focused less on just logging each relevant tweet but trying to find and focusing on those which contained the most information. There where a lot of charts I looked at then skipped over because especially at the start of his timeline they contained little useful information and my time was better spent finding those where there was something to decode. Now this does not mean skip out on "work" just use your time efficiently. -- If however if I was to start from the beginning again with the goal of levelling up technical understanding as quickly as possible I would take a different approach. To start with I would familiarise myself with all relevant SMC concepts, I have linked the best free recourses for this below 👇 CryptoChase beginner friendly index: Barncore's "The Moneytaur Way" series: Gian's Trading bootcamp playlist: Following this I would then work through all of Taur's subscription posts working backwards, recreating his charts and taking notes on his logic. The subscription feed has the highest value density and least noise. Video example of my notes from his subscription posts 👇: --- Okay so now once you have a basic understanding of concepts and can re-recreate them on charts of your own it is time to put this in to practice. The next step is vigorous backtesting, you can use the trading view tool but I think trade Zella offers a more use friendly option if you pay for the subscription. Especially as it allows you to change timeframes without skipping ahead to candle close time of the timeframe you change too ( like Trading view does ) *my only note would be that their LTF/Micro TF data feed with be different to brokerage charts you will use on Trading view, to start with though you should not be going low enough that this is an issue. When you backtest in this context, treat it like real trading. That means journal and logging like you would if real cash was on the line. Take time, do not rush and focus on quality. Stick to BTC, ETH, Major FX pairs or indices as these assets are less reliant on confluence, backtesting a shitcoin is near useless as whether levels work or not will be highly dependent on Majors PA. Go on HTF, scroll back a couple years and try not too look at chart while doing so and then begin. Start with HTF analysis and work down to 2H or wherever you feel comfortable, chart it fully and then identify setups. Make rough notes / plans and then press play, execute the setups as they hit, log and journal trade management as well as observations and key notes. It is very important to not cheat when you do this, do not skip back and adjust your stoploss because it hit by 0.1%, do not skip back and adjust plan because you missed a block and your TP got frontrun. Instead these are the things you journal, embrace these mistakes because they are the cheapest mistakes you are going to make. Grind this, do it for hours, put some music on and enjoy. To start with focus on HTF's, as you get better and start netting $ on paper you can drop the timeframes and increase the difficulty. HTF = Normal, MTF = Medium, LTF = Hard. Even if you do not intend to day trade, learning how to read the lower TF's that force you to think faster, harder and prepare you for lower win rates / loss streaks can greatly improve your ability on higher TF's. While you are doing this as you start to have concepts click you now want to build up your real trading experience, take a sum of money that you care about but will be okay loosing and dedicate this to live trading. Start taking real trades and expect net losses in the beginning. This is where you will make you 2nd cheapest mistakes. This is also where you can begin to learn about your psychology. You may encounter some elements already in backtesting but the real market is where true colours really start to show. Mental issues are inevitable and part of the game, get used to them and start working to identify and fix them. Reading and applying books like Trading in the Zone and Mental Game of Trading are important and will help a lot but there is no easy fix, for some stuff you I believe you just have to get used to it and it goes away with experience. Losses suck at the beginning but after you loose 100 times you starting getting pretty numb to it, same goes for the winners. To accelerate the learning process, build connections and get advice there is also always the option of private groups, while I never personally chose this route and committed to learning everything through my own endeavours there is no denying that having nearly all the information you need structured and compiled in one place is valuable and can save time. Beyond this having access to real time thoughts and opinions of profitable traders can accelerate performance, however it carries the risk of being a double edged sword if not used properly, if relying on it like a crutch and using it as a substitute for real work you will not succeed. With that said if you take it for what it is, a learning opportunity then I believe it can be very beneficial. I am not a member of, nor affiliated with any paid group. There are now many options available within the community, all run by different people with different styles, tailored to different needs. If I was to make a recommendation though, as a non-member, it would be Albert & Co's 618'ers simply due to the diversity in styles of the traders running it and results I have seen from members I know personally. It is important that as you start to trade with real capital you reduce noise in your social feeds or eliminate it all together. You do not need 5 different opinions, you also do not need 2 people telling you the same thing in their own way so you feel re-assured. What you do need is to develop your independent thinking as a trader and be comfortable making different decisions to others, even traders ahead of yourself if it fits with your system or understanding of market. Taur here is perhaps an exception as this is who you are learning from but down the line a real test of your own ability and independence will be being able to stick with your own plan even when it differs from his. Don't get me wrong, counter trading him is retarded but you must learn to adapt his gift to your own style. This will make sense at some point. The next stage is taking your understanding of specific concepts to higher level as you simultaneously snowball experience. Look back through your journal and review where you lost money and made money, do not over extrapolate from a small sample but start to take notes and observe if trends in performance emerge. This is the beginning of the transition to self reliance, you now understand the strategy but must learn for yourself when and where it works. Here you can also learn more nuanced secondary concepts such as VSA, orderflow etc and add these to your game where appropriate. Do NOT get lost in the sauce though and remember mastery of basics is key. IMO a big focus should be understanding correlation thoroughly but especially on HTF's this is the most important thing and what triggers the majority of large swings where most of your cash will be made and losses recovered. Some people will disagree with me here but IMO you should also not be *focusing* on Odd TF's. These are secondary at best and most people overweight their significance leading to avoidable losses while wondering why price did not care about their 327minute Breaker Block which they think is the key to the market. Study Taurs feed and take note of how he mostly uses: 3M, 1M, 3W, 2W, 1W, 5D, 4D, 3D, 2D, 1D, 12H, 8H, 6H, 4H, 2H, 1H, 30m, 15m + micro time frames. The only thing left is time and repetition, you must show up each day and really do this, for months. Maybe you start to see result's, you catch your first key swing and where able to trade where others froze. Congratulations. Learn from these winners and repeat the actions. Find what assets work best for you, find your style, refine and grow. --- The last thing I will include is a short list of tools or links that can be helpful. - Trading view tutorial: - Dictionary: - Market news Calendar: --- Thank you too all those who have read this, I hope this has been helpful for the beginners who want to start but are just not sure how. 🫶 Don't just bookmark this and move on, start 🙃
0:38

Moneytaur study blueprint 🗺️ The process I used to go from not knowing what an order block is to pulling cash from the crypto markets in under 6 months using 🎯 Master concepts. Proof of performance, past 120 days👇 Start date: 09/03/2025 Requirements: - A PC/laptop - Wifi - A basic understanding of trading. ( What candlesticks are, how to actually place trades , etc ) - A free mind - Time or the ability to free up time. Starting: - Structure and routine - Stick to that routine + Pre mortem plan. - Notion / Obsidian setup. The first thing you need to create is a clear routine moulded around how you intend to approach this very large and complex task. This will not be linear and you will naturally adapt it as you progress but especially in the beginning some resemblance of structure each day is vital. This is an individual process but it is important to understand from the beginning that this will require a majority of your free time assuming you work a full time Job or study as a student. For me in the beginning this looked like: - Wake up at 6:30. - Shower - Study/work for 1h 45m before leaving for work. - 09:00 -> 17:00 work - 17:30 Exercise / Train - Eat - 19:00 resume study/work - 22:30 Start to wind down and get ready to sleep. It changed several times over the months and especially now I am full time but this is irrelevant, the only thing that matters is sticking with what you choose. Whatever your own routine may look like, it is important to understand it will inevitably require sacrifice. --- The next thing once you have established a draft framework of your routine is ensuring you will actually stick to that routine. Something I implemented which I found particularly beneficial was the concept of a Pre-Mortem plan. This involves creating several scenarios of a future in which you have failed and working backwards from each of these to find where it went wrong. Here is a video which explains it fully: When I did this I came up with 3 scenarios as well as prevention and cure for each. In the 6 months that followed each scenario presented at some point but I was able to catch them early due to having done this. The last thing is to not over complicate this, don't hyper focus on systems and loose momentum optimizing each detail. Just ensure you do the fucking work. I was a little guilty of the above at times, trying to craft the perfect routine. In reality the person who just gets up, drinks too much coffee and works his ass off out performs the workflow perfectionist who visualizes and repeats affirmations, any day of the week. --- Next you need somewhere to store your notes, journal your trades and build your knowledge. For me this was Obsidian but I have also used Notion before and it is an equally viable option. Whichever one of these you choose be warned you will inevitably want to bang your head against a wall trying to use them for the first few days, but they will both click pretty quick and are 100% better options the word document or paper alternative. Here is my full obsidian setup tutorial: Here is a link to MisterPA 's notion Journal: Here is how I create "Meta-Notes" using obsidian: The process: - How I did it. - How I would do it if doing it again. Now I did things the "hard way" and manually worked my way back through each of MT's tweets starting in 2021, reading every one and logging those that I felt where relevant. You can see in my first post: the very first system I used to do this. I quickly adapted though after about a week and focused less on just logging each relevant tweet but trying to find and focusing on those which contained the most information. There where a lot of charts I looked at then skipped over because especially at the start of his timeline they contained little useful information and my time was better spent finding those where there was something to decode. Now this does not mean skip out on "work" just use your time efficiently. -- If however if I was to start from the beginning again with the goal of levelling up technical understanding as quickly as possible I would take a different approach. To start with I would familiarise myself with all relevant SMC concepts, I have linked the best free recourses for this below 👇 CryptoChase beginner friendly index: Barncore's "The Moneytaur Way" series: Gian's Trading bootcamp playlist: Following this I would then work through all of Taur's subscription posts working backwards, recreating his charts and taking notes on his logic. The subscription feed has the highest value density and least noise. Video example of my notes from his subscription posts 👇: --- Okay so now once you have a basic understanding of concepts and can re-recreate them on charts of your own it is time to put this in to practice. The next step is vigorous backtesting, you can use the trading view tool but I think trade Zella offers a more use friendly option if you pay for the subscription. Especially as it allows you to change timeframes without skipping ahead to candle close time of the timeframe you change too ( like Trading view does ) *my only note would be that their LTF/Micro TF data feed with be different to brokerage charts you will use on Trading view, to start with though you should not be going low enough that this is an issue. When you backtest in this context, treat it like real trading. That means journal and logging like you would if real cash was on the line. Take time, do not rush and focus on quality. Stick to BTC, ETH, Major FX pairs or indices as these assets are less reliant on confluence, backtesting a shitcoin is near useless as whether levels work or not will be highly dependent on Majors PA. Go on HTF, scroll back a couple years and try not too look at chart while doing so and then begin. Start with HTF analysis and work down to 2H or wherever you feel comfortable, chart it fully and then identify setups. Make rough notes / plans and then press play, execute the setups as they hit, log and journal trade management as well as observations and key notes. It is very important to not cheat when you do this, do not skip back and adjust your stoploss because it hit by 0.1%, do not skip back and adjust plan because you missed a block and your TP got frontrun. Instead these are the things you journal, embrace these mistakes because they are the cheapest mistakes you are going to make. Grind this, do it for hours, put some music on and enjoy. To start with focus on HTF's, as you get better and start netting $ on paper you can drop the timeframes and increase the difficulty. HTF = Normal, MTF = Medium, LTF = Hard. Even if you do not intend to day trade, learning how to read the lower TF's that force you to think faster, harder and prepare you for lower win rates / loss streaks can greatly improve your ability on higher TF's. While you are doing this as you start to have concepts click you now want to build up your real trading experience, take a sum of money that you care about but will be okay loosing and dedicate this to live trading. Start taking real trades and expect net losses in the beginning. This is where you will make you 2nd cheapest mistakes. This is also where you can begin to learn about your psychology. You may encounter some elements already in backtesting but the real market is where true colours really start to show. Mental issues are inevitable and part of the game, get used to them and start working to identify and fix them. Reading and applying books like Trading in the Zone and Mental Game of Trading are important and will help a lot but there is no easy fix, for some stuff you I believe you just have to get used to it and it goes away with experience. Losses suck at the beginning but after you loose 100 times you starting getting pretty numb to it, same goes for the winners. To accelerate the learning process, build connections and get advice there is also always the option of private groups, while I never personally chose this route and committed to learning everything through my own endeavours there is no denying that having nearly all the information you need structured and compiled in one place is valuable and can save time. Beyond this having access to real time thoughts and opinions of profitable traders can accelerate performance, however it carries the risk of being a double edged sword if not used properly, if relying on it like a crutch and using it as a substitute for real work you will not succeed. With that said if you take it for what it is, a learning opportunity then I believe it can be very beneficial. I am not a member of, nor affiliated with any paid group. There are now many options available within the community, all run by different people with different styles, tailored to different needs. If I was to make a recommendation though, as a non-member, it would be Albert & Co's 618'ers simply due to the diversity in styles of the traders running it and results I have seen from members I know personally. It is important that as you start to trade with real capital you reduce noise in your social feeds or eliminate it all together. You do not need 5 different opinions, you also do not need 2 people telling you the same thing in their own way so you feel re-assured. What you do need is to develop your independent thinking as a trader and be comfortable making different decisions to others, even traders ahead of yourself if it fits with your system or understanding of market. Taur here is perhaps an exception as this is who you are learning from but down the line a real test of your own ability and independence will be being able to stick with your own plan even when it differs from his. Don't get me wrong, counter trading him is retarded but you must learn to adapt his gift to your own style. This will make sense at some point. The next stage is taking your understanding of specific concepts to higher level as you simultaneously snowball experience. Look back through your journal and review where you lost money and made money, do not over extrapolate from a small sample but start to take notes and observe if trends in performance emerge. This is the beginning of the transition to self reliance, you now understand the strategy but must learn for yourself when and where it works. Here you can also learn more nuanced secondary concepts such as VSA, orderflow etc and add these to your game where appropriate. Do NOT get lost in the sauce though and remember mastery of basics is key. IMO a big focus should be understanding correlation thoroughly but especially on HTF's this is the most important thing and what triggers the majority of large swings where most of your cash will be made and losses recovered. Some people will disagree with me here but IMO you should also not be *focusing* on Odd TF's. These are secondary at best and most people overweight their significance leading to avoidable losses while wondering why price did not care about their 327minute Breaker Block which they think is the key to the market. Study Taurs feed and take note of how he mostly uses: 3M, 1M, 3W, 2W, 1W, 5D, 4D, 3D, 2D, 1D, 12H, 8H, 6H, 4H, 2H, 1H, 30m, 15m + micro time frames. The only thing left is time and repetition, you must show up each day and really do this, for months. Maybe you start to see result's, you catch your first key swing and where able to trade where others froze. Congratulations. Learn from these winners and repeat the actions. Find what assets work best for you, find your style, refine and grow. --- The last thing I will include is a short list of tools or links that can be helpful. - Trading view tutorial: - Dictionary: - Market news Calendar: --- Thank you too all those who have read this, I hope this has been helpful for the beginners who want to start but are just not sure how. 🫶 Don't just bookmark this and move on, start 🙃

Ace

45,185 Aufrufe • vor 9 Monaten

Why Exchanges Banned This Bot: The 142,000% Return Liquidation Strategy Revealed i finally posted the strategy that got me banned and now the exchanges are probably sweating because i am handing you the keys to the liquidation engine. most people think trading is about charts but the real alpha is hidden in the moments when other traders lose everything. if you can understand why market makers hunt these positions you will never look at a candlestick the same way again. it took years of losing money to liquidations and over trading to realize that hand trading is a losing game for almost everyone on the planet. code is the great equalizer because it removes the emotion that usually causes you to hold a losing position until your account hits zero. i spent hundreds of thousands on developers in the past thinking i could not code myself until i realized i just needed to iterate to success. trading by hand is just driving a horse while everyone else is in a ferrari and the fees alone will chop you up before you even realize you were wrong. i watched a guy with a six million dollar short position sitting just two percent away from total liquidation while i was building this. seeing those numbers on the screen gives me ideas that i can automate into a bot so i dont have to spend my life staring at a monitor. the process i follow is called the rbi system which stands for research backtest and implement. most traders skip the first two steps and go straight to implementation which is why they get smoked on their very first bot. research starts with a backlog of ideas from books or papers or even just watching how the market reacts to big moves. once you have that idea you have to see if it worked in the past using a backtest because if it did not work then it certainly won't work in the future. i have been collecting liquidation data for eighteen months because that data is the lifeblood of a winning system. there is a hidden loop in the market where market makers try to liquidate as many people as possible to find liquidity. i wanted to build a strategy that either trades with that momentum or bets on the bounce right after the liquidation happens. the first strategy i tested was a pure liquidation momentum play that looks for a threshold of nine hundred seventy five thousand dollars in liquidations. when longs get liquidated it shorts the market to continue the down move and it tries to take a one percent profit. this strategy showed a return of over four hundred percent in the backtest while the buy and hold was only thirty three percent. it sounds amazing but you have to be careful with optimized results because you can search with math until you find anything. i decided to flip the logic on its head and create an inverse liquidation strategy that acts as a contrarian. instead of following the move it waits for the longs to get liquidated and then buys the dip after a small price spread. this is where i stumbled onto something that felt like a mistake but turned out to be pure alpha. i accidentally typed in a threshold of three hundred thousand dollars instead of three million and the results were unbelievable. the backtest return jumped to over one hundred forty thousand percent because the bot was catching every single micro bounce in the market. even when i doubled the commission fees to account for the high trade volume the strategy still stayed incredibly profitable. most people would have missed this because they are too busy trying to be right instead of just looking at what the data says. i use tools like claude and cursor to build these bots in minutes when it used to take me an entire week to write the code. if you are not using ai to automate your ideas you are essentially choosing to work ten times harder for less money. i built three separate bots during this session including a momentum bot and two different versions of the inverse spread bot. running these together creates a sort of statistical arbitrage where you can hedge your positions across different market conditions. one bot wins when the market cascades and the other wins when it fakes out and reverses. you have to start with tiny ten dollar sizes because a backtest is never a hundred percent guarantee of what will happen today. i always run my p and l close logic first to make sure the bot exits the position if the stop loss or take profit is hit. it is vital to check your position every fifteen seconds and make sure you are not double ordering or getting stuck in a trade. the goal is to have fully automated systems trading for you so you can actually live your life while the bots do the work. i push all of this code to my private github because i believe that wall street will never show you how this actually works. you have to be a doer and not a dabbler if you want to actually make it in this industry. the reason i show everything live on youtube is to prove that anyone can learn to do this if they are willing to iterate. you dont need to be a math genius you just need to follow the rbi system and stay disciplined with your risk. every liquidation you see on the chart is a signal and if you know how to read them you are no longer the one being hunted. i am currently running the third version of the bot to see how it handles the live market volatility. it is a beautiful thing to see a system enter and exit a trade perfectly without you having to click a single button. the fees are the silent killer of hand traders but a bot can be programmed to use limit orders and stay efficient. if you learn to code you can build anything for the rest of your life regardless of where you are in the world. stop trying to guess which way the candle will go and start building systems that can handle both directions. i am going to keep testing these three strategies against each other to find the ultimate ensemble for this current market. once you find a winning edge you just have to scale it up slowly and keep refining the parameters. the exchanges might not like that i am sharing this but code is the great equalizer and it is time for you to use it. i will be back tomorrow to show the results and keep building more systems until everything is fully automated
1:23:35

Why Exchanges Banned This Bot: The 142,000% Return Liquidation Strategy Revealed i finally posted the strategy that got me banned and now the exchanges are probably sweating because i am handing you the keys to the liquidation engine. most people think trading is about charts but the real alpha is hidden in the moments when other traders lose everything. if you can understand why market makers hunt these positions you will never look at a candlestick the same way again. it took years of losing money to liquidations and over trading to realize that hand trading is a losing game for almost everyone on the planet. code is the great equalizer because it removes the emotion that usually causes you to hold a losing position until your account hits zero. i spent hundreds of thousands on developers in the past thinking i could not code myself until i realized i just needed to iterate to success. trading by hand is just driving a horse while everyone else is in a ferrari and the fees alone will chop you up before you even realize you were wrong. i watched a guy with a six million dollar short position sitting just two percent away from total liquidation while i was building this. seeing those numbers on the screen gives me ideas that i can automate into a bot so i dont have to spend my life staring at a monitor. the process i follow is called the rbi system which stands for research backtest and implement. most traders skip the first two steps and go straight to implementation which is why they get smoked on their very first bot. research starts with a backlog of ideas from books or papers or even just watching how the market reacts to big moves. once you have that idea you have to see if it worked in the past using a backtest because if it did not work then it certainly won't work in the future. i have been collecting liquidation data for eighteen months because that data is the lifeblood of a winning system. there is a hidden loop in the market where market makers try to liquidate as many people as possible to find liquidity. i wanted to build a strategy that either trades with that momentum or bets on the bounce right after the liquidation happens. the first strategy i tested was a pure liquidation momentum play that looks for a threshold of nine hundred seventy five thousand dollars in liquidations. when longs get liquidated it shorts the market to continue the down move and it tries to take a one percent profit. this strategy showed a return of over four hundred percent in the backtest while the buy and hold was only thirty three percent. it sounds amazing but you have to be careful with optimized results because you can search with math until you find anything. i decided to flip the logic on its head and create an inverse liquidation strategy that acts as a contrarian. instead of following the move it waits for the longs to get liquidated and then buys the dip after a small price spread. this is where i stumbled onto something that felt like a mistake but turned out to be pure alpha. i accidentally typed in a threshold of three hundred thousand dollars instead of three million and the results were unbelievable. the backtest return jumped to over one hundred forty thousand percent because the bot was catching every single micro bounce in the market. even when i doubled the commission fees to account for the high trade volume the strategy still stayed incredibly profitable. most people would have missed this because they are too busy trying to be right instead of just looking at what the data says. i use tools like claude and cursor to build these bots in minutes when it used to take me an entire week to write the code. if you are not using ai to automate your ideas you are essentially choosing to work ten times harder for less money. i built three separate bots during this session including a momentum bot and two different versions of the inverse spread bot. running these together creates a sort of statistical arbitrage where you can hedge your positions across different market conditions. one bot wins when the market cascades and the other wins when it fakes out and reverses. you have to start with tiny ten dollar sizes because a backtest is never a hundred percent guarantee of what will happen today. i always run my p and l close logic first to make sure the bot exits the position if the stop loss or take profit is hit. it is vital to check your position every fifteen seconds and make sure you are not double ordering or getting stuck in a trade. the goal is to have fully automated systems trading for you so you can actually live your life while the bots do the work. i push all of this code to my private github because i believe that wall street will never show you how this actually works. you have to be a doer and not a dabbler if you want to actually make it in this industry. the reason i show everything live on youtube is to prove that anyone can learn to do this if they are willing to iterate. you dont need to be a math genius you just need to follow the rbi system and stay disciplined with your risk. every liquidation you see on the chart is a signal and if you know how to read them you are no longer the one being hunted. i am currently running the third version of the bot to see how it handles the live market volatility. it is a beautiful thing to see a system enter and exit a trade perfectly without you having to click a single button. the fees are the silent killer of hand traders but a bot can be programmed to use limit orders and stay efficient. if you learn to code you can build anything for the rest of your life regardless of where you are in the world. stop trying to guess which way the candle will go and start building systems that can handle both directions. i am going to keep testing these three strategies against each other to find the ultimate ensemble for this current market. once you find a winning edge you just have to scale it up slowly and keep refining the parameters. the exchanges might not like that i am sharing this but code is the great equalizer and it is time for you to use it. i will be back tomorrow to show the results and keep building more systems until everything is fully automated

Moon Dev

11,948 Aufrufe • vor 4 Monaten

I Spent $100k On Developers Before Learning This: Build Your AI Bot Today the blueprint to building your first ai trading bot without a degree or a single clue where to start is hidden in plain sight. most people think you need a stanford degree or some crazy math background to build these systems but i spent ten years in tech scared to code for that exact reason. i thought it was only for the geniuses and the nerds while i was just a guy who played video games and wanted his time back the reality is that code is the great equalizer because it doesn't care who you are or where you came from. i lost hundreds of thousands of dollars hiring developers who did shoddy work and i lost even more through liquidations and over trading because i was too emotional to follow my own rules. i knew i had to automate everything if i wanted to survive this game so i decided to learn live on youtube and iterate my way to success everyone is looking for the holy grail indicator that prints money while they sleep but they are looking in the wrong place. the real secret isn't a magical line on a chart but a process i call the rbi system which stands for research backtest and implement. most traders fail because they try to build a bot before they even know if their strategy worked in the past which is basically just gambling with extra steps you have to start with deep research into a strategy like supply and demand zones where you buy where the banks buy and sell where they sell. once you have a solid idea you must backtest it against years of data to see if it actually has an edge. if it doesn't work in the past it definitely won't work in the future but if it shows promise then you move to the implementation phase with small size there is a hidden cost to automation that can wipe out your profits before you even place a trade if you aren't careful. i found myself overusing api credits and running up a massive bill just to fetch wallet balances and token lists. if your bot is calling the exchange every five seconds just to see how much money you have you are essentially burning cash for no reason you can use ai tools like cursor to help you write the python code even if you are a total beginner. i still use ai to explain complex functions and identify where my code is being inefficient or chewing through credits. i had to refactor my entire dashboard and timer logic to only check balances every thirty minutes instead of every few seconds to save those precious credits the man who made thirty one billion dollars in the markets had one rule he never broke throughout his entire career. jim simons was the greatest algorithmic trader to ever live and he proved that systems will always beat human intuition over a long enough timeline. his secret wasn't some complex formula that no one else could understand but a commitment to a specific way of thinking simons always said you just have to make your systems better and better because that is what everyone else is trying to do. the game never really ends because the markets are always evolving and your edge will eventually decay if you don't iterate. this is why i build in public and show every step of the process because the iteration is where the actual money is made the reason you get liquidated isn't the market or the whales or some conspiracy against your small account. the real reason is the conversation you have with yourself at two in the morning when you are down on a trade and decide to move your stop loss. humans are built for survival not for trading and our emotions like fomo and fear will always sabotage our results when you automate your trading you are essentially signing a non negotiable contract with yourself that the bot will execute without question. if the plan says to sell fifty percent in an uptrend and ninety five percent in a downtrend the bot does it every single time. it doesn't feel the panic when a red candle drops or the greed when a green one spikes it just follows the code i used to spend all day staring at screens chasing bars up and down thinking that more screen time equaled more profit. i got into trading to get my time back but i ended up becoming a slave to the charts until i finally learned to code. now i have fully automated systems trading for me instead of getting liquidated because i removed the weakest link in the system which was me you don't need to spend ten years learning how to code before you can start building your own trading bots. if you spend three to six months getting the gist of python and using ai to bridge the gap you can start building immediately. start with a simple supply and demand bot that looks for major coin trends and only enters when the odds are heavily in your favor by checking the trend of bitcoin ethereum and solana simultaneously you can ensure you aren't fighting the overall market direction. i look for at least two out of those three to be trending before my bot is even allowed to look for an entry. this simple filter alone can save you from thousands of dollars in paper cuts during choppy sideways markets if you can't fly then run and if you can't run then walk but by all means you must keep moving toward automation. the process of taking an idea out of your brain and putting it into a system is the most secretive and valuable skill in the world. don't follow the pack and try to solve the same problems as everyone else but find your own edge and code it into existence the deal you make with yourself at the start of your journey is what determines if you will actually make it or not. i made a contract with myself to learn live and show everything because i believe that transparency is the only way to truly learn this craft. stick to your plan and iterate every single day because the systems you build today are the equalizers that will change your life tomorrow
50:50

I Spent $100k On Developers Before Learning This: Build Your AI Bot Today the blueprint to building your first ai trading bot without a degree or a single clue where to start is hidden in plain sight. most people think you need a stanford degree or some crazy math background to build these systems but i spent ten years in tech scared to code for that exact reason. i thought it was only for the geniuses and the nerds while i was just a guy who played video games and wanted his time back the reality is that code is the great equalizer because it doesn't care who you are or where you came from. i lost hundreds of thousands of dollars hiring developers who did shoddy work and i lost even more through liquidations and over trading because i was too emotional to follow my own rules. i knew i had to automate everything if i wanted to survive this game so i decided to learn live on youtube and iterate my way to success everyone is looking for the holy grail indicator that prints money while they sleep but they are looking in the wrong place. the real secret isn't a magical line on a chart but a process i call the rbi system which stands for research backtest and implement. most traders fail because they try to build a bot before they even know if their strategy worked in the past which is basically just gambling with extra steps you have to start with deep research into a strategy like supply and demand zones where you buy where the banks buy and sell where they sell. once you have a solid idea you must backtest it against years of data to see if it actually has an edge. if it doesn't work in the past it definitely won't work in the future but if it shows promise then you move to the implementation phase with small size there is a hidden cost to automation that can wipe out your profits before you even place a trade if you aren't careful. i found myself overusing api credits and running up a massive bill just to fetch wallet balances and token lists. if your bot is calling the exchange every five seconds just to see how much money you have you are essentially burning cash for no reason you can use ai tools like cursor to help you write the python code even if you are a total beginner. i still use ai to explain complex functions and identify where my code is being inefficient or chewing through credits. i had to refactor my entire dashboard and timer logic to only check balances every thirty minutes instead of every few seconds to save those precious credits the man who made thirty one billion dollars in the markets had one rule he never broke throughout his entire career. jim simons was the greatest algorithmic trader to ever live and he proved that systems will always beat human intuition over a long enough timeline. his secret wasn't some complex formula that no one else could understand but a commitment to a specific way of thinking simons always said you just have to make your systems better and better because that is what everyone else is trying to do. the game never really ends because the markets are always evolving and your edge will eventually decay if you don't iterate. this is why i build in public and show every step of the process because the iteration is where the actual money is made the reason you get liquidated isn't the market or the whales or some conspiracy against your small account. the real reason is the conversation you have with yourself at two in the morning when you are down on a trade and decide to move your stop loss. humans are built for survival not for trading and our emotions like fomo and fear will always sabotage our results when you automate your trading you are essentially signing a non negotiable contract with yourself that the bot will execute without question. if the plan says to sell fifty percent in an uptrend and ninety five percent in a downtrend the bot does it every single time. it doesn't feel the panic when a red candle drops or the greed when a green one spikes it just follows the code i used to spend all day staring at screens chasing bars up and down thinking that more screen time equaled more profit. i got into trading to get my time back but i ended up becoming a slave to the charts until i finally learned to code. now i have fully automated systems trading for me instead of getting liquidated because i removed the weakest link in the system which was me you don't need to spend ten years learning how to code before you can start building your own trading bots. if you spend three to six months getting the gist of python and using ai to bridge the gap you can start building immediately. start with a simple supply and demand bot that looks for major coin trends and only enters when the odds are heavily in your favor by checking the trend of bitcoin ethereum and solana simultaneously you can ensure you aren't fighting the overall market direction. i look for at least two out of those three to be trending before my bot is even allowed to look for an entry. this simple filter alone can save you from thousands of dollars in paper cuts during choppy sideways markets if you can't fly then run and if you can't run then walk but by all means you must keep moving toward automation. the process of taking an idea out of your brain and putting it into a system is the most secretive and valuable skill in the world. don't follow the pack and try to solve the same problems as everyone else but find your own edge and code it into existence the deal you make with yourself at the start of your journey is what determines if you will actually make it or not. i made a contract with myself to learn live and show everything because i believe that transparency is the only way to truly learn this craft. stick to your plan and iterate every single day because the systems you build today are the equalizers that will change your life tomorrow

Moon Dev

11,726 Aufrufe • vor 6 Monaten

Bitcoin hashrate dropped ~20% in just a few days. Because extreme winter weather across the US punished weak mining operations. Here’s what actually breaks miners during a polar vortex (and how operators prepare) 👇 HOW WINTER BREAKS MINERS Cold doesn’t usually kill miners while they’re running. It kills them when: • machines cool down too fast • airflow isn’t controlled • miners restart while still cold Most damage happens during restarts and boot-ups, not steady-state hashing. HOW OPERATORS PROTECT HASHRATE 1️⃣ Control temperature swings (not just temperature) Rapid changes are the enemy. • Insulate containers and buildings to slow heat loss • Limit cold air intake until miners are hashing and warming themselves • Keep container lids closed during startup • Use hot-air feedback to warm machines gradually Goal: warm up slowly, cool down slowly. 2️⃣ Don’t let airflow work against you Airflow that’s great in summer can kill you in winter. Watch out for: • External fans pushing freezing air inside • Chimney effects that pull heat out too fast • Wide-open intakes during startup Common fixes: • Slow or pause intake fans during warm-up • Disrupt chimney effects temporarily • Use finer dust filters to reduce cold airflow Once machines are stable, airflow can come back. 3️⃣ Be careful when rebooting hashing miners Reboots in freezing temperatures are where most costly mistakes happen. Safer approach: • Reboot during the warmest part of the day • Do it one rack at a time • Keep lower shelves running so rising heat protects upper ones Rushing reboots saves minutes now and costs days later. 4️⃣ Booting miners that were offline is different For curtailment, demand response, or long downtime: ⚠️ Do NOT boot if boards are below 0°C What to do instead: • Warm machines gradually • Monitor ambient temperature inside the facility • Physically check miners if possible Cold hardware doesn’t fail immediately. It fails later. 5️⃣ Use firmware to avoid cold-start mistakes With Braiins OS, operators rely on: • Pre-heat to bring chips closer to target temperature before hashing • Fan speed vs chip temperature to confirm miners are actually warming up If fans are low and chip temperature isn’t rising, stop and warm miners more. Booting too early is the fastest way to lose hardware. 6️⃣ Network outages can freeze miners fast When internet drops, miners stop hashing and cool down quickly. Two common safeguards: • Multiple pool fallback URLs • A drain pool as a last resort to keep miners hashing and warm Drain pools burn power, but they can prevent far more expensive cold restarts. ❄️ THE COLD TRUTH Winter punishes poor preparation and rushed decisions. We’ve been running 2+ GW of live hashpower on Braiins OS through harsh winters. The patterns repeat every year. For the full deep dive, read the complete Polar Vortex guide on our blog. Mining is hard. Braiins OS is built for this.
1:23

Bitcoin hashrate dropped ~20% in just a few days. Because extreme winter weather across the US punished weak mining operations. Here’s what actually breaks miners during a polar vortex (and how operators prepare) 👇 HOW WINTER BREAKS MINERS Cold doesn’t usually kill miners while they’re running. It kills them when: • machines cool down too fast • airflow isn’t controlled • miners restart while still cold Most damage happens during restarts and boot-ups, not steady-state hashing. HOW OPERATORS PROTECT HASHRATE 1️⃣ Control temperature swings (not just temperature) Rapid changes are the enemy. • Insulate containers and buildings to slow heat loss • Limit cold air intake until miners are hashing and warming themselves • Keep container lids closed during startup • Use hot-air feedback to warm machines gradually Goal: warm up slowly, cool down slowly. 2️⃣ Don’t let airflow work against you Airflow that’s great in summer can kill you in winter. Watch out for: • External fans pushing freezing air inside • Chimney effects that pull heat out too fast • Wide-open intakes during startup Common fixes: • Slow or pause intake fans during warm-up • Disrupt chimney effects temporarily • Use finer dust filters to reduce cold airflow Once machines are stable, airflow can come back. 3️⃣ Be careful when rebooting hashing miners Reboots in freezing temperatures are where most costly mistakes happen. Safer approach: • Reboot during the warmest part of the day • Do it one rack at a time • Keep lower shelves running so rising heat protects upper ones Rushing reboots saves minutes now and costs days later. 4️⃣ Booting miners that were offline is different For curtailment, demand response, or long downtime: ⚠️ Do NOT boot if boards are below 0°C What to do instead: • Warm machines gradually • Monitor ambient temperature inside the facility • Physically check miners if possible Cold hardware doesn’t fail immediately. It fails later. 5️⃣ Use firmware to avoid cold-start mistakes With Braiins OS, operators rely on: • Pre-heat to bring chips closer to target temperature before hashing • Fan speed vs chip temperature to confirm miners are actually warming up If fans are low and chip temperature isn’t rising, stop and warm miners more. Booting too early is the fastest way to lose hardware. 6️⃣ Network outages can freeze miners fast When internet drops, miners stop hashing and cool down quickly. Two common safeguards: • Multiple pool fallback URLs • A drain pool as a last resort to keep miners hashing and warm Drain pools burn power, but they can prevent far more expensive cold restarts. ❄️ THE COLD TRUTH Winter punishes poor preparation and rushed decisions. We’ve been running 2+ GW of live hashpower on Braiins OS through harsh winters. The patterns repeat every year. For the full deep dive, read the complete Polar Vortex guide on our blog. Mining is hard. Braiins OS is built for this.

Braiins

12,141 Aufrufe • vor 6 Monaten

The South African Immigration Crisis And How It Can Fixed With A Long Term Solution The political and economic chaos in neighbouring countries around South Africa benefits businesses and opportunistic politicians in South Africa. That is why business doesn’t condemn the abuse of human rights, rigging of elections and corrupt rule in countries like Zimbabwe, it is not in their best interest to do so because they benefit from the outcomes of failed rule in Zimbabwe. How does this work? Zimbabwe’s unemployment rate is 95%, it has the highest inflation in the world (1266% per year), hospitals have collapsed, and it is hell on earth without any social welfare system due to the continued looting of public funds by the Zimbabwean tyrant and his goons. This pushes desperate and unemployed Zimbabweans to cross the border into South Africa to find a job, healthcare, and a better life. When they cross over into South Africa, either legally or illegally, and overstay, they become vulnerable to local businesses which offer them employment paying very low wages, they take the jobs because they are desperate to survive. Businesses or farm owners in Limpopo or on wine farms in Cape Town badly underpay them, knowing they have no recourse to the law because they are illegal, something that they cannot do to a South African citizen who is protected by the law. As this happens, wages drop because cheap labour is now available, and it is not unionised so they cannot fight for any rights to fair wages. These Zimbabweans, and Africans in general, will take anything to survive and see another day, they have families to feed back in their countries of origin. This disempowers the South African worker, who cannot negotiate for higher wages because that power has been eroded and taken away by the availability of cheap labour. Businesses, in turn, tell the locals to go hang if they try to negotiate for a living wage because they have cheap labour readily available, the illegal immigrant needs the job. The locals (South Africans) get angry and fight these illegal immigrants in their communities, leading to the emergence of vigilante groups and peripheral opportunistic political actors who exploit this to gain votes from locals who feel stifled and desperate in their own country. Cosmetic, choreographed police and immigration raids are carried out to appease the restive poor and unemployed South Africans. These illegal immigrants are deported on a Monday, and by Friday, they are back. This is known as the revolving door. The border officials are so corrupt that they facilitate this revolving door because they profit from it, so you cannot currently use immigration control to deal with this on land borders where people come by road. Some illegal immigrants do not even leave South Africa because the police who arrest them will also accept bribes. In this heated emotional debate in South Africa, no real solutions are proposed because opportunistic politicians simply shout “ABAHAMBE,” get some votes and repeat the same to remain relevant in public discourse. It is funny how it is so easy to appease voters with such empty slogans that do not bring any tangible solutions, but the desperate voter is fickle, they fall for anything. What these politicians do not say, or choose to ignore, is that when these illegals go, they will return the next day. It is an inconvenient conversation for politicians because it undermines their ability to mobilise votes. The root cause of this immigration crisis lies in Zimbabwean and African politics driven by corrupt rule, the abuse of human rights, and rigged elections. President Cyril Ramaphosa and his ruling ANC political party publicly support the authors of this crisis in Zimbabwe, so the root cause cannot be addressed at the source now until South Africans have an honest family conversation to deal with this once and for all. Unemployed Zimbabweans feel that the ANC and its government have a moral obligation to let them come because they are supporting corrupt rule in Zimbabwe, and they are doing so publicly. This is compounded by the cowardice of Zimbabweans and the dearth of any meaningful opposition leadership in that country. Yet we have a serios crisis. So, what do we do about it to resolve the illegal immigration nightmare in South Africa, which is driving wages down and enriching businesses and the political class? Someone must put meaningful proposals on the table because this has been with us for decades, and it remains unresolved. These proposals should not be rooted in emotional discourse, but practical realities that confront South Africa. This crisis can’t be resolved through political rhetoric or “Abahambe” or any empty Pan-African slogans which ignore the ongoing realities. Real leaders provide practical solutions and don’t do it for social media retweets or likes, but for solid and long term resolutions that that will fix the crisis. We know that wages are being pushed down for South Africans due to the availability of cheap labour from illegal immigrants, and that these illegal immigrants cannot demand better wages because they cannot approach the authorities or unionise, given their illegal immigration status. The only way out, to help local South African workers who refuse to work for a pittance in restaurants, and rightly so, is to legalise those already in South Africa, so that the authorities know who they are. You implement regulations ensuring that these workers can be employed and pay taxes, but also make sure that jobs must be offered to South Africans first, they do that in Zimbabwe with the little jobs available, and that is a standard practice the world over. Where no South African is willing to take up the job, it can be offered to a documented migrant, who will be paying taxes. It will now be easier to negotiate for better wages because all workers local and migrant will now be unionised, something that big business and the political class privately do not want because it takes away the power to undermine wage negotiations and to campaign for votes respectively. Wages will rise for South African workers because everyone will then be able to negotiate for a better wage without fear of being deported. Any company caught employing illegal immigrants will be shut down immediately using laws created to deal with this problem of greedy business owners taking advantage of illegal immigration, with all the money in its bank accounts seized by the State. This will stop the employment of anyone illegal and undocumented and will provide cover for those given an amnesty for documentation. I want to make this clear, South Africans will never be able to negotiate for a living wage if there are illegal immigrants, politicians will lie to the citizens but this is the unpalatable truth. Once this is resolved, opportunistic politicians will then focus on service delivery rather than gaslighting poor South Africans with “Abahambe,” knowing that when the illegals go, they will return tomorrow morning. When illegal immigrants are documented and have bank accounts, they will begin to pay taxes and can also become entrepreneurial, creating businesses that will employ more South Africans and contribute to economic growth of South Africa. Documenting illegals and gathering their biometric data will also reduce crime because undocumented immigrants can commit crimes and evade detection, as the South African state currently does not know who they are or where they live. When they work legally or open small businesses, they will contribute to the South African fiscus, which will fund the public hospitals they use and the schools their children attend. The revolving door applies to Africans who need visas too, they are deported to Nigeria, they acquire a new identity, fly to Zimbabwe and come to South Africa by road where they pay border officials a bribe and get it in. Zimbabwe is no longer a foreign policy issue only for the South African government, it is a domestic issue as well because of illegal immigration that has brought many Zimbabweans into South Africa. It is not their fault, they are also victims of a corrupt government and each time they try to vote out the regime in Harare, the ANC publicly support rigged elections and give diplomatic cover to the Zimbabwean tyrant Emmerson Mnangagwa. Refusing to document illegals hoping that deportations will solve the problem demonstrates incompetence and ignorance to how illegal immigration works. It will continue to perpetuate low wages for South Africans and those that shout “Abahambe” know this very well. Documentation will make it easy because these migrants will see it in their best interest to unionise and fight for a better wage. You set laws that everyone covered by this amnesty cannot apply for South African citizenship as they do in the United Arab Emirates because this should only be done to clear a long running problem to help deal with border control properly without losing focus because of those already in South Africa. Ministers cannot continue to pretend to be activists when they now sit on the cabinet table, if nothing changes during the five years they are in power, they would have failed, they cannot shout “Abahambe” again in 2029. Business cannot continue to benefit from the misery of poor Zimbabweans because of the refusal to document them, it is the South African citizen that will suffer more, deportation has failed to solve this problem. It is time for strong and reflective leadership that makes tough but sustainable decisions that have a long-term ability to resolve this issue. South Africans will have another opportunity to send a strong message in 2026, they should use it and not make the politicians continue to use this dysfunctionality continue at the expense of the South African citizen and the desperate undocumented immigrants. It is easy to control the border when you have cleaned up the existing problem in the country first, it requires men and women in leadership with a spine. If you want to discuss any issues arising from this article you can e-mail me at hopewell2@post.harvard.edu
4:40

The South African Immigration Crisis And How It Can Fixed With A Long Term Solution The political and economic chaos in neighbouring countries around South Africa benefits businesses and opportunistic politicians in South Africa. That is why business doesn’t condemn the abuse of human rights, rigging of elections and corrupt rule in countries like Zimbabwe, it is not in their best interest to do so because they benefit from the outcomes of failed rule in Zimbabwe. How does this work? Zimbabwe’s unemployment rate is 95%, it has the highest inflation in the world (1266% per year), hospitals have collapsed, and it is hell on earth without any social welfare system due to the continued looting of public funds by the Zimbabwean tyrant and his goons. This pushes desperate and unemployed Zimbabweans to cross the border into South Africa to find a job, healthcare, and a better life. When they cross over into South Africa, either legally or illegally, and overstay, they become vulnerable to local businesses which offer them employment paying very low wages, they take the jobs because they are desperate to survive. Businesses or farm owners in Limpopo or on wine farms in Cape Town badly underpay them, knowing they have no recourse to the law because they are illegal, something that they cannot do to a South African citizen who is protected by the law. As this happens, wages drop because cheap labour is now available, and it is not unionised so they cannot fight for any rights to fair wages. These Zimbabweans, and Africans in general, will take anything to survive and see another day, they have families to feed back in their countries of origin. This disempowers the South African worker, who cannot negotiate for higher wages because that power has been eroded and taken away by the availability of cheap labour. Businesses, in turn, tell the locals to go hang if they try to negotiate for a living wage because they have cheap labour readily available, the illegal immigrant needs the job. The locals (South Africans) get angry and fight these illegal immigrants in their communities, leading to the emergence of vigilante groups and peripheral opportunistic political actors who exploit this to gain votes from locals who feel stifled and desperate in their own country. Cosmetic, choreographed police and immigration raids are carried out to appease the restive poor and unemployed South Africans. These illegal immigrants are deported on a Monday, and by Friday, they are back. This is known as the revolving door. The border officials are so corrupt that they facilitate this revolving door because they profit from it, so you cannot currently use immigration control to deal with this on land borders where people come by road. Some illegal immigrants do not even leave South Africa because the police who arrest them will also accept bribes. In this heated emotional debate in South Africa, no real solutions are proposed because opportunistic politicians simply shout “ABAHAMBE,” get some votes and repeat the same to remain relevant in public discourse. It is funny how it is so easy to appease voters with such empty slogans that do not bring any tangible solutions, but the desperate voter is fickle, they fall for anything. What these politicians do not say, or choose to ignore, is that when these illegals go, they will return the next day. It is an inconvenient conversation for politicians because it undermines their ability to mobilise votes. The root cause of this immigration crisis lies in Zimbabwean and African politics driven by corrupt rule, the abuse of human rights, and rigged elections. President Cyril Ramaphosa and his ruling ANC political party publicly support the authors of this crisis in Zimbabwe, so the root cause cannot be addressed at the source now until South Africans have an honest family conversation to deal with this once and for all. Unemployed Zimbabweans feel that the ANC and its government have a moral obligation to let them come because they are supporting corrupt rule in Zimbabwe, and they are doing so publicly. This is compounded by the cowardice of Zimbabweans and the dearth of any meaningful opposition leadership in that country. Yet we have a serios crisis. So, what do we do about it to resolve the illegal immigration nightmare in South Africa, which is driving wages down and enriching businesses and the political class? Someone must put meaningful proposals on the table because this has been with us for decades, and it remains unresolved. These proposals should not be rooted in emotional discourse, but practical realities that confront South Africa. This crisis can’t be resolved through political rhetoric or “Abahambe” or any empty Pan-African slogans which ignore the ongoing realities. Real leaders provide practical solutions and don’t do it for social media retweets or likes, but for solid and long term resolutions that that will fix the crisis. We know that wages are being pushed down for South Africans due to the availability of cheap labour from illegal immigrants, and that these illegal immigrants cannot demand better wages because they cannot approach the authorities or unionise, given their illegal immigration status. The only way out, to help local South African workers who refuse to work for a pittance in restaurants, and rightly so, is to legalise those already in South Africa, so that the authorities know who they are. You implement regulations ensuring that these workers can be employed and pay taxes, but also make sure that jobs must be offered to South Africans first, they do that in Zimbabwe with the little jobs available, and that is a standard practice the world over. Where no South African is willing to take up the job, it can be offered to a documented migrant, who will be paying taxes. It will now be easier to negotiate for better wages because all workers local and migrant will now be unionised, something that big business and the political class privately do not want because it takes away the power to undermine wage negotiations and to campaign for votes respectively. Wages will rise for South African workers because everyone will then be able to negotiate for a better wage without fear of being deported. Any company caught employing illegal immigrants will be shut down immediately using laws created to deal with this problem of greedy business owners taking advantage of illegal immigration, with all the money in its bank accounts seized by the State. This will stop the employment of anyone illegal and undocumented and will provide cover for those given an amnesty for documentation. I want to make this clear, South Africans will never be able to negotiate for a living wage if there are illegal immigrants, politicians will lie to the citizens but this is the unpalatable truth. Once this is resolved, opportunistic politicians will then focus on service delivery rather than gaslighting poor South Africans with “Abahambe,” knowing that when the illegals go, they will return tomorrow morning. When illegal immigrants are documented and have bank accounts, they will begin to pay taxes and can also become entrepreneurial, creating businesses that will employ more South Africans and contribute to economic growth of South Africa. Documenting illegals and gathering their biometric data will also reduce crime because undocumented immigrants can commit crimes and evade detection, as the South African state currently does not know who they are or where they live. When they work legally or open small businesses, they will contribute to the South African fiscus, which will fund the public hospitals they use and the schools their children attend. The revolving door applies to Africans who need visas too, they are deported to Nigeria, they acquire a new identity, fly to Zimbabwe and come to South Africa by road where they pay border officials a bribe and get it in. Zimbabwe is no longer a foreign policy issue only for the South African government, it is a domestic issue as well because of illegal immigration that has brought many Zimbabweans into South Africa. It is not their fault, they are also victims of a corrupt government and each time they try to vote out the regime in Harare, the ANC publicly support rigged elections and give diplomatic cover to the Zimbabwean tyrant Emmerson Mnangagwa. Refusing to document illegals hoping that deportations will solve the problem demonstrates incompetence and ignorance to how illegal immigration works. It will continue to perpetuate low wages for South Africans and those that shout “Abahambe” know this very well. Documentation will make it easy because these migrants will see it in their best interest to unionise and fight for a better wage. You set laws that everyone covered by this amnesty cannot apply for South African citizenship as they do in the United Arab Emirates because this should only be done to clear a long running problem to help deal with border control properly without losing focus because of those already in South Africa. Ministers cannot continue to pretend to be activists when they now sit on the cabinet table, if nothing changes during the five years they are in power, they would have failed, they cannot shout “Abahambe” again in 2029. Business cannot continue to benefit from the misery of poor Zimbabweans because of the refusal to document them, it is the South African citizen that will suffer more, deportation has failed to solve this problem. It is time for strong and reflective leadership that makes tough but sustainable decisions that have a long-term ability to resolve this issue. South Africans will have another opportunity to send a strong message in 2026, they should use it and not make the politicians continue to use this dysfunctionality continue at the expense of the South African citizen and the desperate undocumented immigrants. It is easy to control the border when you have cleaned up the existing problem in the country first, it requires men and women in leadership with a spine. If you want to discuss any issues arising from this article you can e-mail me at [email protected]

Hopewell Chin’ono

81,811 Aufrufe • vor 1 Jahr

Just in $AMD Anush "Speed is the moat"|ROCm🎙️ In the race to define the future of AI, what's the one advantage that truly lasts? It's not proprietary tech, argues Anush Elangovan Elangovan, VP of AI Software at AMD , but the sustainable speed of innovation. He explains why AMD is rejecting the "walled garden" model for its open source ROCm stack, betting that an open community flywheel is the key to victory. Listen to understand how this open strategy is designed to out-innovate closed systems by empowering developers to solve everything from frontier-model challenges to the mundane, everyday problems that define the "last mile" of AI. AMD ROCm Software: Part 1 Transcript [00:00:00] Andrew Zigler: Joining me is Anush Elangovan, VP of AI software at AMD. And when people talk about AI compute, the conversation often stops at hardware specs, but it's more than just physical chips that win the game. It's also the software ecosystems supporting them. [00:00:18] Andrew Zigler: The prevailing strategy in the industry has been to build something like a walled garden. You know, something closed, proprietary locks, developers in. But AMD is betting on an entirely different play, open source acceleration, and with rock, their open source AI software stack. AMD is building not just hardware parity, but an innovation flywheel that's powered by the community with interoperability and the freedom to scale without all of that pesky lockin. [00:00:48] Andrew Zigler: And in this world, speed is your moat and how fast you can innovate while your platform remains open, flexible, and standardize across all of its applications. That's what we're gonna explore [00:01:00] today. So Anush, I'm really excited to have you here. Welcome to Dev Interrupted. [00:01:04] Anush Elangovan: Thanks for having me. Uh, super excited to chat about it. [00:01:07] Andrew Zigler: Amazing. Well, let's go ahead and dive right in with kind of what I laid it out with in the beginning, the idea of the moat and it being about speed. I wanna unpack that a bit because that came from you when you and I first spoke. And I, and I want to know, you know, how do you define speed inside of AMD beyond just things like hardware, benchmarks. [00:01:27] Anush Elangovan: Yeah, that's a very good question. So when we typically talk about speed, everyone's like, Hey, hardware benchmark specs, right? Like, uh, memory bandwidth or, or flops. And that is one important part of it, uh, AMD does very well. With that, we do have, a, a very good history of executing on that axis. [00:01:47] Anush Elangovan: But when I say speed is the moat, it is about, uh, how we prepare, how we build the muscle to run the race for a long time and run it fast. And it is [00:02:00] not about a single point in time that you've, you've beat some you know, benchmark and, and you declare victory. It's about building the ability to consistently develop and deliver. [00:02:13] Anush Elangovan: Both hardware and software innovation at scale and do it fast, right? Like, you know, we we're increasingly getting to a point where models come out and they're, uh, you know, a year or two ago it was like, Hey, they work on AMD on day zero, which is great, but now they are performing on AMD the day it releases, right? [00:02:32] Anush Elangovan: So, what does it take to Prefetch where the industry is going? Be prepared to intercept. At that point is what you know, I, I refer to as you know, the, the speed factor in, in creating this mode, right? And the mode is just shed all things that hold you back and run as fast as you can. [00:02:53] Anush Elangovan: Uh, because the pace of innovation that is, uh, being seen in, in AI [00:03:00] industries is just. Amazing. Right? And it's like, it's transformational at at how you generate electricity. It's transformational as at how you build data centers. It's transformational at how you deploy compute, networking. It's transformational at what kind of use cases you, you know, uh, use AI for. [00:03:17] Anush Elangovan: Uh, and for that, you need to be prepared to, see what comes tomorrow and be prepared to run the race tomorrow. [00:03:23] Andrew Zigler: Yeah, it's a really great perspective because it highlights that it's not just like a checkpoint that you run through. I like how you called out, like it's not just hitting that benchmark or being the best in class at that moment, in that snapshot, it's about having a. The throughput and about having that dedication to the idea and continuing to deliver on it. [00:03:43] Andrew Zigler: It's not just crossing the threshold, but it's also being the engine. And that's what, that's what protects a business. That is the moat, because the moat is that innovation layer, the faster and more, uh, future forward. That you can work and think, [00:04:00] you know, the better. Uh, we, we talk a lot about like future forward work styles. [00:04:04] Andrew Zigler: Like what are the things I could be doing right now today that are gonna be like, way more useful tomorrow? Let, let's abandon those, workflows that are older and that kind of like, that translates into. An advantage when you work that way. You know, what kind of things have you learned working with, uh, like across all spectrums of people who would use ROCm, right? [00:04:23] Andrew Zigler: You have like the developers, but then you also have the enterprises and you have this large span of adoptees, right? So what is the, what does that look like that you learn? [00:04:32] Anush Elangovan: Yeah, so, so the way I look at it is there are gonna be pockets of different, uh, you know, cadences, right? Like, so people who are deploying in enterprises, for example, right? The validation and how long it takes for them to deploy an LLM that's secure. It's, with guardrails, et cetera, maybe longer. [00:04:52] Anush Elangovan: but you still have to go through the process and you have to be prepared to like, walk that walk to deploy an enterprises. That doesn't mean it's [00:05:00] not fast, that's as fast as you can do for that industry, right? And if you are deploying AI in healthcare, right, it's, it's got its own, uh, cycle. [00:05:07] Anush Elangovan: but in each one of these, you want to see how, like, go down to the essence of what is it that you actually have to do. And, you know, I, I, I like how you framed it. It's like it's, you shed your prior assumptions of how things are done, right. And, and you kind of build up from a, uh, first principles, uh, approach to say, this is how I could use AI to unlock, whatever I'm doing. [00:05:33] Anush Elangovan: And, and, some of it, you know, it's good to really step back and look at. Just question every part of it, right? Like right now you're getting chat GPT and, Gemini competing for like, math, olympiads and, and, uh, college, uh, reasoning, uh, tests. Right? And, and those are like that, that is amazing and increasingly like complex tasks that they're trying to do. [00:05:58] Anush Elangovan: But there may also be like. [00:06:00] More mundane things that AI could, could get applied to. Right? And, and so when we think about shedding old ways, you wanna shed it not just in like the tip of the spear. It's like, you know, I'm gonna see what's the frontier model. It's also, it could be something as simple as. [00:06:18] Anush Elangovan: How do you choose a, a movie, uh, you know, like a recommendation system, right? Or, or, uh, an automated, uh, flight, uh, rebooking system. So the moment, you know, your flight is late, uh, right now it's a notification, right? It's like, oh, you got a text message saying your flight's late. And I got that like three times this week. [00:06:38] Anush Elangovan: But anyway, uh, and, and, and, and, I was just like, okay, so if I were to rethink this. All this MCPs that we have that should be hooked up into an MCP that says, your flight's delayed. Here are your options. If you want, you know, these are the paid options. Yeah. Here are the free options. This will get you back into your you know, Toronto airport [00:07:00] tonight. [00:07:00] Anush Elangovan: Or if you stay, here's a hotel plus this, plus this, plus. It's just like, go ahead is all I should say. Versus now I'm like, okay, can someone, you know, can I call a travel agent? Can I do this? Can I go online and log into And you know, so we gotta fundamentally rethink even those like small, nuances of, things that we do that can be automated out and AI is really, really good at doing something like this, right? Maybe I just explained an AI startup idea right now. Somebody should just start that. [00:07:29] Andrew Zigler: I think you did. Yeah, you definitely did. Someone, one of our listeners is definitely going to lift that off of you. I, I, I, you know, I hate being on the receiving end of those. You feel a little helpless and then you have to like, follow the whole flow. So I know what you mean. Like I, I like how you called out that the build and this like. [00:07:45] Andrew Zigler: Where speed is your moat and the innovation layer is protecting you, is what makes you better than your competitors. How you scale that and you bring that to market. So by understanding the problems that you're solving, uh, throwing away those older assumptions, but also [00:08:00] recognizing that like. We're building every single day, new things and new ways of using stuff that we're still figuring out the implications of. [00:08:08] Andrew Zigler: And so when you have a lot of velocity and you're introducing a lot of new ideas, and maybe you have that workflow now that automatically rebook your flight off of your late flight text message, and uh, I know I would certainly use it, but you know, what kind of philosophies guide the way that y'all think about building this ecosystem to manage that stability while letting folks. [00:08:29] Andrew Zigler: Play with the speed and the assumptions and the airplane re bookings. [00:08:34] Anush Elangovan: so, so I think, you know, we need to peel one layer down, right? and the philosophy is, Hey, we, we just discovered electricity, right? And you know what we're gonna do? We are gonna make motors, uh, or dynamos, right? Like engines. Uh, sure. We don't know if it's gonna be a Ferrari that you're gonna make, or it's a a a a dump truck. [00:08:57] Anush Elangovan: That's good for doing this. But let's [00:09:00] let, which is also required, right? You need a dump truck. You need a garbage truck. And, [00:09:04] Andrew Zigler: Yeah. You need the [00:09:04] Anush Elangovan: course you need, uh, a Ferrari for a midlife crisis, right? So, [00:09:09] Andrew Zigler: precisely. [00:09:10] Anush Elangovan: But, but my, uh, point is what do we build next? And, uh, and this is what I meant by like, okay, let's, let's take those baby steps to build the. [00:09:20] Anush Elangovan: Infrastructure that's required that we know we'll have to use, right? So, so if I just discovered electricity, okay, great. Now one, how do I save this electricity and how do I use it? So there's battery technology, so you need to do something like that, right? Like so. But then you also want to make it into an actionable thing. [00:09:37] Anush Elangovan: You want to make it for like automobiles, or you wanna use it for, you know, powering, uh, entire cities. So it is that transformational. So, uh, AI is that transformational. So, if you distill down, it'll, it'll come down to how do we think about, what we can do with this this fundamental technology that, We may not be aware of what it [00:10:00] is gonna unlock next, but at least you know the next step is clear, right? It's like a dense fog, you know, it's gonna be like, it, it's the right path. You see the light, but it's kind of like out there and, and the steps you're taking are concrete and you're like, okay, this is good. [00:10:16] Anush Elangovan: I, this is better than where I was or where we were. So we are moving forward. So you can build with the. Intuition from what you see in the short term and a tactical view, but towards what you think the future is gonna be. [00:10:28] Andrew Zigler: Right. You almost like we're all in this like fog of war, right? And like you said, you're reaching out and you're trying to step through it. You could think of it too, as like you're in the dark and your hands are up in front of you and you know that. You're, you're not gonna run your face into a wall because your hands are out in front of you, but you're not gonna maybe do much better than that. [00:10:45] Andrew Zigler: So that's kind of like, I think the eco, the, the industry, the world that we find ourselves in, uh, and we all have to, then this becomes the power of an ecosystem, of a group of people working together to create that layer of, [00:11:00] uh, of establishing the [00:11:01] Anush Elangovan: exactly. And I, I, I just, instead of, you know, saying fog of war I describe it as like, you're in this. Beautiful valley with like a morning, uh, fog that's in. You can smell the flowers. You, you hear the birds. You are like, okay, it's, we are in like, uh, utopian paradise and yes, I just need to like, continue the walk, right? [00:11:24] Anush Elangovan: and then move forward with that, conviction that you're in the right spot. [00:11:27] Andrew Zigler: Yeah. So let's talk about that ecosystem world. This nice, I love how you describe it, this grassy side of a hill in the morning that's covered in some mist and maybe we can't see 30 feet in one direction, but it sure is a beautiful hill and it smells nice. And so we're all here. And why is, in that world, why is. [00:11:44] Andrew Zigler: You know, open source, their strategic advantage that y'all are going for in the AI hardware market. And, and then how does like ROCm turn that into wins for people within that ecosystem? [00:11:56] Anush Elangovan: you know, the, the way we look at it is this, is kind of like how I view [00:12:00] AI and the ecosystem, right? But, but it is for everyone to enjoy. Uh, and so we do want to make sure that. You know, it is, uh, beneficial for everyone. [00:12:09] Anush Elangovan: The ecosystem can come in and, and innovate. It's an open innovation engine. and uh, it is very different from, you know, having a walled garden with, Hey, only I know how to do this and I'm gonna do it and throw it over the fence and you can use it or keep walking, right? So we'd like to be good citizens that way, but also. [00:12:30] Anush Elangovan: Uh, it is self-fulfilling in a way, right? Like it, the, the pace at which we innovate with open source is unmatched. Like, you know, our serving engines are like VLLM and, and sg l. Those things, uh, those frameworks are like super, super aggressive in terms of how fast they come out with features and how fast they can you know, get performant models out. [00:12:52] Anush Elangovan: And that compared with what, uh, you'd get from, you know, the likes of like T-R-T-L-L-M or something is always lagging, right? Because you [00:13:00] just can't keep up with you know, 200 commits a week just on one particular model to get that model really performant [00:13:06] Andrew Zigler: And, and, and in that world where, you know, everyone can enjoy the winds of this, what kind of customer stories or innovation stories have really stood out to you and excite you about building and creating this place for developers? [00:13:19] Anush Elangovan: Yeah. So I think the parts that are super exciting for me are when when we get to see a customer that is first skeptical. Then they start a little like, okay, fine, we'll give you a chance. Uh, we do a simple, uh, POC and then they're like, huh, this seems to work. Yeah, we told you it works. [00:13:42] Anush Elangovan: You don't have to change one line of code. Really? Yes, no need to change one line of code. Okay, let's try a production workload. So then they try it. Oh, you're more performant than the competition. Yes. We're more performant than, than the competition. So how much does it cost? And we're like, oh, it's your TCO is better with, uh, [00:14:00] AMD. [00:14:00] Anush Elangovan: So again, they're like, wow, okay, good. So now how do we deploy at scale? And then we go deploy it at scale. And when they give a thumbs up on that and they say, this is good, right? That's when you know, you, you see it go full circle from like, oh, we, we've never heard about AMD to like actually deploy to tens of thousands of GPUs In the order of a few months, right? It, it, it really is fascinating to see and very exciting and invigorating to [00:14:28] Andrew Zigler: Yeah. At like a great exposure to a lot of interesting problems. And, and then people using the infrastructure, the, the technology available to solve those problems. Really specific problems by the way, that's often why they're bringing their data and AI to it, uh, is because it is really specific and important for them. [00:14:45] Andrew Zigler: And there's a, a lot I think that other engineering orgs can learn and even emulate from AMD's success and, and having this open source ecosystem and it causing this acceleration within. You [00:15:00] know, uh, customers and enterprises that use and adopt the tools and, and, and that creates an advantage. And that goes back to why we're talking and like the real thesis of our conversation today. [00:15:10] Andrew Zigler: So how do you think engineering leaders that are listening to this and obviously tapping into this great success AMD has from an open source flywheel, how do you think other, other folks building in the same space can foster that open, first, that open source oriented culture in order to, you know, accelerate their innovation goals? [00:15:29] Anush Elangovan: Yeah, that's a very good question. So the startup that um, was acquired by AMD we, we built, I mean, we started off doing iot stuff and you know, smart ring and all that, right? But in the, the end of like, uh, and not the end, the last six years of the company was building ML compilers. [00:15:47] Anush Elangovan: And ml, ML compilers are like super, uh, complicated, sophisticated, advanced algorithms, dah, dah, dah. but it was all open source, right? So our VCs were like, wait, what do you mean your core [00:16:00] IP is open source? And um, the speed is the moat applied even then, right? It was just like, yes, if you have an idea that. [00:16:08] Anush Elangovan: Because someone saw this idea that you are, they're gonna be able to catch up, then you probably have the wrong idea anyway. But if they are, you know, you execute and they're gonna catch up, that you should assume they're gonna catch up. Right? So you gotta move forward. So keeping it open source is super important. [00:16:25] Anush Elangovan: But also to your question on like, you know, the learnings from an AMD standpoint, right? If there are, hard problems, I'd say dig in and work through it, right? Like there's no way but through it, right? That should be the simple mentality. And more, uh, frequently than not. you'll see that you'll just make it through in a, in, in good form. [00:16:52] Anush Elangovan: But if you doubt it and you're like, oh, I don't know if I should commit, if I'm, I, you know, what should just commit to do the right thing [00:17:00] every step, right? Every step, and just keep taking one step in front of the other. And in no time you'll see that you'll be running. Right. And, and yes, the first few steps will be like, yeah, everyone's complaining about your software quality. [00:17:15] Anush Elangovan: Everyone's complaining about this and that, and it doesn't work. And, and a few steps in, you know, you get, you get the hang of all the complaints that are coming in. You get the feedback loop. You're like, okay, what, what are you prioritizing again? One step in front of the other, right? You just keep knocking that out and then you get to a point where you're, it just becomes second nature, right? To do the, to do the right thing. And, and then yes, if someone gives you two options, you'll be like, fine. This is, uh, you know, there's always the resource trade off. There's always a human capital trade off, but what's the right thing to do? of course, I, I'm pragmatic about what we choose, but, but if the right thing for your long-term success is dig in, go first, principles, make it [00:18:00] happen. [00:18:00] Anush Elangovan: Well. Then just go for that. There's, there is no shortcut to [00:18:04] Andrew Zigler: acknowledging, you know, how it aligns with your mission, your core company goals, and what you're looking to achieve. And, and I, I love how you rightfully called out that in the open source world and you know, you have your technology that you've built, what you think is your moat upon, right? [00:18:22] Andrew Zigler: It's your code and, and to open source that, or to just make it where anyone could peer in is, you know. Scary in one regard, but two, it just kind of feels like you're handing away your throne room in some kind of sense, a very direct feeling sense. But the ultimately, you were really right to call out, and this is something I think about all the time, that the real power there is still the speed This the speed. [00:18:42] Andrew Zigler: That was the moat at the beginning of our conversation. It's the speed in combination with your. Very specific domain understanding of what you're building and what you're creating, and your new role as the steward of that world and how people plug into it, which [00:19:00] has frankly, a lot more influence and power than lording over a closed. [00:19:04] Andrew Zigler: You know, repository or an ecosystem, and like you said, like throwing things over the wall. Sure. There, there might be people always on the other side of that wall, but you're not gonna have a great connection with them. You're not gonna be able to really clearly understand them. I, I like your metaphor of the side of the field of the mountain a lot more. [00:19:23] Andrew Zigler: But, but in the, in this world, you know, where. That speed is, is the power and, and open source is just one way that you can harness that speed to get really far ahead and to innovate. , There's other parts of this equation that you can be experimenting with too, and I'd love to pick your brain about them as a software leader and, and, and one of them is about looking forward and kind of understanding that future that we're all building towards and beyond today's models and hardware. [00:19:48] Andrew Zigler: You know, what do you see as the next major bottleneck or opportunity in the AI compute space? As, as you know, enterprises and folks start to get a little more mature about what's available to [00:20:00] them. [00:20:00] Anush Elangovan: Yeah, I think, the bottleneck and opportunity is, uh, what I'd call, call walking the last mile of ai. Right. Uh, and like I I, I gave you an example, uh, previously, but, but it's similar to that. It's like there are cases where Humans have so many, uh, things to do in your day. You know, like the, if we sit down and actually had a customer focus like, okay, these customers lives, I'm gonna save four hours of this customer's life. And if you actually sit down and look at all of that, it'll be. Easily automatable, easily you know, uh, applicable, uh, for ai, right? [00:20:39] Anush Elangovan: Like, but then making it happen is gonna take a little bit, right? It's like maybe it's, uh, paying your utility bill, right? Or something like that, right? Or, or, your healthcare explanation of benefits. Uh, like, I'm sure you get an explanation of benefits, and I'm like, I, I don't even know what that thing is. [00:20:55] Anush Elangovan: It's just like EOB and like. [00:20:57] Andrew Zigler: it's a big, a big old PDF. Yeah, [00:21:00] exactly. [00:21:01] Anush Elangovan: Like, like, I'm like great straight to the, uh, shredder, right? And but that could be, you know, automated with the ai, right? It, it, it'd be like, Hey, the summary of this thing is you went and visited this day. Everything is okay. Everything is paid for, so don't worry, it's not a bill. [00:21:17] Anush Elangovan: That again, the same, uh, thing, but the sense of what that information overload is could be. Digested by ai, uh, accumulated over time and retrieved when you need it. Like, I don't, I actually don't even need to know this EOB right now, unless of course, whenever I need to know it, that maybe, you know, like for some benefits I need to figure out what do, what did I do over the past year and how do I apply it? Source:
31:35

Just in $AMD Anush "Speed is the moat"|ROCm🎙️ In the race to define the future of AI, what's the one advantage that truly lasts? It's not proprietary tech, argues Anush Elangovan Elangovan, VP of AI Software at AMD , but the sustainable speed of innovation. He explains why AMD is rejecting the "walled garden" model for its open source ROCm stack, betting that an open community flywheel is the key to victory. Listen to understand how this open strategy is designed to out-innovate closed systems by empowering developers to solve everything from frontier-model challenges to the mundane, everyday problems that define the "last mile" of AI. AMD ROCm Software: Part 1 Transcript [00:00:00] Andrew Zigler: Joining me is Anush Elangovan, VP of AI software at AMD. And when people talk about AI compute, the conversation often stops at hardware specs, but it's more than just physical chips that win the game. It's also the software ecosystems supporting them. [00:00:18] Andrew Zigler: The prevailing strategy in the industry has been to build something like a walled garden. You know, something closed, proprietary locks, developers in. But AMD is betting on an entirely different play, open source acceleration, and with rock, their open source AI software stack. AMD is building not just hardware parity, but an innovation flywheel that's powered by the community with interoperability and the freedom to scale without all of that pesky lockin. [00:00:48] Andrew Zigler: And in this world, speed is your moat and how fast you can innovate while your platform remains open, flexible, and standardize across all of its applications. That's what we're gonna explore [00:01:00] today. So Anush, I'm really excited to have you here. Welcome to Dev Interrupted. [00:01:04] Anush Elangovan: Thanks for having me. Uh, super excited to chat about it. [00:01:07] Andrew Zigler: Amazing. Well, let's go ahead and dive right in with kind of what I laid it out with in the beginning, the idea of the moat and it being about speed. I wanna unpack that a bit because that came from you when you and I first spoke. And I, and I want to know, you know, how do you define speed inside of AMD beyond just things like hardware, benchmarks. [00:01:27] Anush Elangovan: Yeah, that's a very good question. So when we typically talk about speed, everyone's like, Hey, hardware benchmark specs, right? Like, uh, memory bandwidth or, or flops. And that is one important part of it, uh, AMD does very well. With that, we do have, a, a very good history of executing on that axis. [00:01:47] Anush Elangovan: But when I say speed is the moat, it is about, uh, how we prepare, how we build the muscle to run the race for a long time and run it fast. And it is [00:02:00] not about a single point in time that you've, you've beat some you know, benchmark and, and you declare victory. It's about building the ability to consistently develop and deliver. [00:02:13] Anush Elangovan: Both hardware and software innovation at scale and do it fast, right? Like, you know, we we're increasingly getting to a point where models come out and they're, uh, you know, a year or two ago it was like, Hey, they work on AMD on day zero, which is great, but now they are performing on AMD the day it releases, right? [00:02:32] Anush Elangovan: So, what does it take to Prefetch where the industry is going? Be prepared to intercept. At that point is what you know, I, I refer to as you know, the, the speed factor in, in creating this mode, right? And the mode is just shed all things that hold you back and run as fast as you can. [00:02:53] Anush Elangovan: Uh, because the pace of innovation that is, uh, being seen in, in AI [00:03:00] industries is just. Amazing. Right? And it's like, it's transformational at at how you generate electricity. It's transformational as at how you build data centers. It's transformational at how you deploy compute, networking. It's transformational at what kind of use cases you, you know, uh, use AI for. [00:03:17] Anush Elangovan: Uh, and for that, you need to be prepared to, see what comes tomorrow and be prepared to run the race tomorrow. [00:03:23] Andrew Zigler: Yeah, it's a really great perspective because it highlights that it's not just like a checkpoint that you run through. I like how you called out, like it's not just hitting that benchmark or being the best in class at that moment, in that snapshot, it's about having a. The throughput and about having that dedication to the idea and continuing to deliver on it. [00:03:43] Andrew Zigler: It's not just crossing the threshold, but it's also being the engine. And that's what, that's what protects a business. That is the moat, because the moat is that innovation layer, the faster and more, uh, future forward. That you can work and think, [00:04:00] you know, the better. Uh, we, we talk a lot about like future forward work styles. [00:04:04] Andrew Zigler: Like what are the things I could be doing right now today that are gonna be like, way more useful tomorrow? Let, let's abandon those, workflows that are older and that kind of like, that translates into. An advantage when you work that way. You know, what kind of things have you learned working with, uh, like across all spectrums of people who would use ROCm, right? [00:04:23] Andrew Zigler: You have like the developers, but then you also have the enterprises and you have this large span of adoptees, right? So what is the, what does that look like that you learn? [00:04:32] Anush Elangovan: Yeah, so, so the way I look at it is there are gonna be pockets of different, uh, you know, cadences, right? Like, so people who are deploying in enterprises, for example, right? The validation and how long it takes for them to deploy an LLM that's secure. It's, with guardrails, et cetera, maybe longer. [00:04:52] Anush Elangovan: but you still have to go through the process and you have to be prepared to like, walk that walk to deploy an enterprises. That doesn't mean it's [00:05:00] not fast, that's as fast as you can do for that industry, right? And if you are deploying AI in healthcare, right, it's, it's got its own, uh, cycle. [00:05:07] Anush Elangovan: but in each one of these, you want to see how, like, go down to the essence of what is it that you actually have to do. And, you know, I, I, I like how you framed it. It's like it's, you shed your prior assumptions of how things are done, right. And, and you kind of build up from a, uh, first principles, uh, approach to say, this is how I could use AI to unlock, whatever I'm doing. [00:05:33] Anush Elangovan: And, and, some of it, you know, it's good to really step back and look at. Just question every part of it, right? Like right now you're getting chat GPT and, Gemini competing for like, math, olympiads and, and, uh, college, uh, reasoning, uh, tests. Right? And, and those are like that, that is amazing and increasingly like complex tasks that they're trying to do. [00:05:58] Anush Elangovan: But there may also be like. [00:06:00] More mundane things that AI could, could get applied to. Right? And, and so when we think about shedding old ways, you wanna shed it not just in like the tip of the spear. It's like, you know, I'm gonna see what's the frontier model. It's also, it could be something as simple as. [00:06:18] Anush Elangovan: How do you choose a, a movie, uh, you know, like a recommendation system, right? Or, or, uh, an automated, uh, flight, uh, rebooking system. So the moment, you know, your flight is late, uh, right now it's a notification, right? It's like, oh, you got a text message saying your flight's late. And I got that like three times this week. [00:06:38] Anush Elangovan: But anyway, uh, and, and, and, and, I was just like, okay, so if I were to rethink this. All this MCPs that we have that should be hooked up into an MCP that says, your flight's delayed. Here are your options. If you want, you know, these are the paid options. Yeah. Here are the free options. This will get you back into your you know, Toronto airport [00:07:00] tonight. [00:07:00] Anush Elangovan: Or if you stay, here's a hotel plus this, plus this, plus. It's just like, go ahead is all I should say. Versus now I'm like, okay, can someone, you know, can I call a travel agent? Can I do this? Can I go online and log into And you know, so we gotta fundamentally rethink even those like small, nuances of, things that we do that can be automated out and AI is really, really good at doing something like this, right? Maybe I just explained an AI startup idea right now. Somebody should just start that. [00:07:29] Andrew Zigler: I think you did. Yeah, you definitely did. Someone, one of our listeners is definitely going to lift that off of you. I, I, I, you know, I hate being on the receiving end of those. You feel a little helpless and then you have to like, follow the whole flow. So I know what you mean. Like I, I like how you called out that the build and this like. [00:07:45] Andrew Zigler: Where speed is your moat and the innovation layer is protecting you, is what makes you better than your competitors. How you scale that and you bring that to market. So by understanding the problems that you're solving, uh, throwing away those older assumptions, but also [00:08:00] recognizing that like. We're building every single day, new things and new ways of using stuff that we're still figuring out the implications of. [00:08:08] Andrew Zigler: And so when you have a lot of velocity and you're introducing a lot of new ideas, and maybe you have that workflow now that automatically rebook your flight off of your late flight text message, and uh, I know I would certainly use it, but you know, what kind of philosophies guide the way that y'all think about building this ecosystem to manage that stability while letting folks. [00:08:29] Andrew Zigler: Play with the speed and the assumptions and the airplane re bookings. [00:08:34] Anush Elangovan: so, so I think, you know, we need to peel one layer down, right? and the philosophy is, Hey, we, we just discovered electricity, right? And you know what we're gonna do? We are gonna make motors, uh, or dynamos, right? Like engines. Uh, sure. We don't know if it's gonna be a Ferrari that you're gonna make, or it's a a a a dump truck. [00:08:57] Anush Elangovan: That's good for doing this. But let's [00:09:00] let, which is also required, right? You need a dump truck. You need a garbage truck. And, [00:09:04] Andrew Zigler: Yeah. You need the [00:09:04] Anush Elangovan: course you need, uh, a Ferrari for a midlife crisis, right? So, [00:09:09] Andrew Zigler: precisely. [00:09:10] Anush Elangovan: But, but my, uh, point is what do we build next? And, uh, and this is what I meant by like, okay, let's, let's take those baby steps to build the. [00:09:20] Anush Elangovan: Infrastructure that's required that we know we'll have to use, right? So, so if I just discovered electricity, okay, great. Now one, how do I save this electricity and how do I use it? So there's battery technology, so you need to do something like that, right? Like so. But then you also want to make it into an actionable thing. [00:09:37] Anush Elangovan: You want to make it for like automobiles, or you wanna use it for, you know, powering, uh, entire cities. So it is that transformational. So, uh, AI is that transformational. So, if you distill down, it'll, it'll come down to how do we think about, what we can do with this this fundamental technology that, We may not be aware of what it [00:10:00] is gonna unlock next, but at least you know the next step is clear, right? It's like a dense fog, you know, it's gonna be like, it, it's the right path. You see the light, but it's kind of like out there and, and the steps you're taking are concrete and you're like, okay, this is good. [00:10:16] Anush Elangovan: I, this is better than where I was or where we were. So we are moving forward. So you can build with the. Intuition from what you see in the short term and a tactical view, but towards what you think the future is gonna be. [00:10:28] Andrew Zigler: Right. You almost like we're all in this like fog of war, right? And like you said, you're reaching out and you're trying to step through it. You could think of it too, as like you're in the dark and your hands are up in front of you and you know that. You're, you're not gonna run your face into a wall because your hands are out in front of you, but you're not gonna maybe do much better than that. [00:10:45] Andrew Zigler: So that's kind of like, I think the eco, the, the industry, the world that we find ourselves in, uh, and we all have to, then this becomes the power of an ecosystem, of a group of people working together to create that layer of, [00:11:00] uh, of establishing the [00:11:01] Anush Elangovan: exactly. And I, I, I just, instead of, you know, saying fog of war I describe it as like, you're in this. Beautiful valley with like a morning, uh, fog that's in. You can smell the flowers. You, you hear the birds. You are like, okay, it's, we are in like, uh, utopian paradise and yes, I just need to like, continue the walk, right? [00:11:24] Anush Elangovan: and then move forward with that, conviction that you're in the right spot. [00:11:27] Andrew Zigler: Yeah. So let's talk about that ecosystem world. This nice, I love how you describe it, this grassy side of a hill in the morning that's covered in some mist and maybe we can't see 30 feet in one direction, but it sure is a beautiful hill and it smells nice. And so we're all here. And why is, in that world, why is. [00:11:44] Andrew Zigler: You know, open source, their strategic advantage that y'all are going for in the AI hardware market. And, and then how does like ROCm turn that into wins for people within that ecosystem? [00:11:56] Anush Elangovan: you know, the, the way we look at it is this, is kind of like how I view [00:12:00] AI and the ecosystem, right? But, but it is for everyone to enjoy. Uh, and so we do want to make sure that. You know, it is, uh, beneficial for everyone. [00:12:09] Anush Elangovan: The ecosystem can come in and, and innovate. It's an open innovation engine. and uh, it is very different from, you know, having a walled garden with, Hey, only I know how to do this and I'm gonna do it and throw it over the fence and you can use it or keep walking, right? So we'd like to be good citizens that way, but also. [00:12:30] Anush Elangovan: Uh, it is self-fulfilling in a way, right? Like it, the, the pace at which we innovate with open source is unmatched. Like, you know, our serving engines are like VLLM and, and sg l. Those things, uh, those frameworks are like super, super aggressive in terms of how fast they come out with features and how fast they can you know, get performant models out. [00:12:52] Anush Elangovan: And that compared with what, uh, you'd get from, you know, the likes of like T-R-T-L-L-M or something is always lagging, right? Because you [00:13:00] just can't keep up with you know, 200 commits a week just on one particular model to get that model really performant [00:13:06] Andrew Zigler: And, and, and in that world where, you know, everyone can enjoy the winds of this, what kind of customer stories or innovation stories have really stood out to you and excite you about building and creating this place for developers? [00:13:19] Anush Elangovan: Yeah. So I think the parts that are super exciting for me are when when we get to see a customer that is first skeptical. Then they start a little like, okay, fine, we'll give you a chance. Uh, we do a simple, uh, POC and then they're like, huh, this seems to work. Yeah, we told you it works. [00:13:42] Anush Elangovan: You don't have to change one line of code. Really? Yes, no need to change one line of code. Okay, let's try a production workload. So then they try it. Oh, you're more performant than the competition. Yes. We're more performant than, than the competition. So how much does it cost? And we're like, oh, it's your TCO is better with, uh, [00:14:00] AMD. [00:14:00] Anush Elangovan: So again, they're like, wow, okay, good. So now how do we deploy at scale? And then we go deploy it at scale. And when they give a thumbs up on that and they say, this is good, right? That's when you know, you, you see it go full circle from like, oh, we, we've never heard about AMD to like actually deploy to tens of thousands of GPUs In the order of a few months, right? It, it, it really is fascinating to see and very exciting and invigorating to [00:14:28] Andrew Zigler: Yeah. At like a great exposure to a lot of interesting problems. And, and then people using the infrastructure, the, the technology available to solve those problems. Really specific problems by the way, that's often why they're bringing their data and AI to it, uh, is because it is really specific and important for them. [00:14:45] Andrew Zigler: And there's a, a lot I think that other engineering orgs can learn and even emulate from AMD's success and, and having this open source ecosystem and it causing this acceleration within. You [00:15:00] know, uh, customers and enterprises that use and adopt the tools and, and, and that creates an advantage. And that goes back to why we're talking and like the real thesis of our conversation today. [00:15:10] Andrew Zigler: So how do you think engineering leaders that are listening to this and obviously tapping into this great success AMD has from an open source flywheel, how do you think other, other folks building in the same space can foster that open, first, that open source oriented culture in order to, you know, accelerate their innovation goals? [00:15:29] Anush Elangovan: Yeah, that's a very good question. So the startup that um, was acquired by AMD we, we built, I mean, we started off doing iot stuff and you know, smart ring and all that, right? But in the, the end of like, uh, and not the end, the last six years of the company was building ML compilers. [00:15:47] Anush Elangovan: And ml, ML compilers are like super, uh, complicated, sophisticated, advanced algorithms, dah, dah, dah. but it was all open source, right? So our VCs were like, wait, what do you mean your core [00:16:00] IP is open source? And um, the speed is the moat applied even then, right? It was just like, yes, if you have an idea that. [00:16:08] Anush Elangovan: Because someone saw this idea that you are, they're gonna be able to catch up, then you probably have the wrong idea anyway. But if they are, you know, you execute and they're gonna catch up, that you should assume they're gonna catch up. Right? So you gotta move forward. So keeping it open source is super important. [00:16:25] Anush Elangovan: But also to your question on like, you know, the learnings from an AMD standpoint, right? If there are, hard problems, I'd say dig in and work through it, right? Like there's no way but through it, right? That should be the simple mentality. And more, uh, frequently than not. you'll see that you'll just make it through in a, in, in good form. [00:16:52] Anush Elangovan: But if you doubt it and you're like, oh, I don't know if I should commit, if I'm, I, you know, what should just commit to do the right thing [00:17:00] every step, right? Every step, and just keep taking one step in front of the other. And in no time you'll see that you'll be running. Right. And, and yes, the first few steps will be like, yeah, everyone's complaining about your software quality. [00:17:15] Anush Elangovan: Everyone's complaining about this and that, and it doesn't work. And, and a few steps in, you know, you get, you get the hang of all the complaints that are coming in. You get the feedback loop. You're like, okay, what, what are you prioritizing again? One step in front of the other, right? You just keep knocking that out and then you get to a point where you're, it just becomes second nature, right? To do the, to do the right thing. And, and then yes, if someone gives you two options, you'll be like, fine. This is, uh, you know, there's always the resource trade off. There's always a human capital trade off, but what's the right thing to do? of course, I, I'm pragmatic about what we choose, but, but if the right thing for your long-term success is dig in, go first, principles, make it [00:18:00] happen. [00:18:00] Anush Elangovan: Well. Then just go for that. There's, there is no shortcut to [00:18:04] Andrew Zigler: acknowledging, you know, how it aligns with your mission, your core company goals, and what you're looking to achieve. And, and I, I love how you rightfully called out that in the open source world and you know, you have your technology that you've built, what you think is your moat upon, right? [00:18:22] Andrew Zigler: It's your code and, and to open source that, or to just make it where anyone could peer in is, you know. Scary in one regard, but two, it just kind of feels like you're handing away your throne room in some kind of sense, a very direct feeling sense. But the ultimately, you were really right to call out, and this is something I think about all the time, that the real power there is still the speed This the speed. [00:18:42] Andrew Zigler: That was the moat at the beginning of our conversation. It's the speed in combination with your. Very specific domain understanding of what you're building and what you're creating, and your new role as the steward of that world and how people plug into it, which [00:19:00] has frankly, a lot more influence and power than lording over a closed. [00:19:04] Andrew Zigler: You know, repository or an ecosystem, and like you said, like throwing things over the wall. Sure. There, there might be people always on the other side of that wall, but you're not gonna have a great connection with them. You're not gonna be able to really clearly understand them. I, I like your metaphor of the side of the field of the mountain a lot more. [00:19:23] Andrew Zigler: But, but in the, in this world, you know, where. That speed is, is the power and, and open source is just one way that you can harness that speed to get really far ahead and to innovate. , There's other parts of this equation that you can be experimenting with too, and I'd love to pick your brain about them as a software leader and, and, and one of them is about looking forward and kind of understanding that future that we're all building towards and beyond today's models and hardware. [00:19:48] Andrew Zigler: You know, what do you see as the next major bottleneck or opportunity in the AI compute space? As, as you know, enterprises and folks start to get a little more mature about what's available to [00:20:00] them. [00:20:00] Anush Elangovan: Yeah, I think, the bottleneck and opportunity is, uh, what I'd call, call walking the last mile of ai. Right. Uh, and like I I, I gave you an example, uh, previously, but, but it's similar to that. It's like there are cases where Humans have so many, uh, things to do in your day. You know, like the, if we sit down and actually had a customer focus like, okay, these customers lives, I'm gonna save four hours of this customer's life. And if you actually sit down and look at all of that, it'll be. Easily automatable, easily you know, uh, applicable, uh, for ai, right? [00:20:39] Anush Elangovan: Like, but then making it happen is gonna take a little bit, right? It's like maybe it's, uh, paying your utility bill, right? Or something like that, right? Or, or, your healthcare explanation of benefits. Uh, like, I'm sure you get an explanation of benefits, and I'm like, I, I don't even know what that thing is. [00:20:55] Anush Elangovan: It's just like EOB and like. [00:20:57] Andrew Zigler: it's a big, a big old PDF. Yeah, [00:21:00] exactly. [00:21:01] Anush Elangovan: Like, like, I'm like great straight to the, uh, shredder, right? And but that could be, you know, automated with the ai, right? It, it, it'd be like, Hey, the summary of this thing is you went and visited this day. Everything is okay. Everything is paid for, so don't worry, it's not a bill. [00:21:17] Anush Elangovan: That again, the same, uh, thing, but the sense of what that information overload is could be. Digested by ai, uh, accumulated over time and retrieved when you need it. Like, I don't, I actually don't even need to know this EOB right now, unless of course, whenever I need to know it, that maybe, you know, like for some benefits I need to figure out what do, what did I do over the past year and how do I apply it? Source:

Mike

14,195 Aufrufe • vor 8 Monaten

TOPIC #106: What Is a “Free Market”? Clarifying the Misconceptions in the Pi Ecosystem I’ve noticed a narrative spreading within parts of the Pi Network community: the idea that Pi’s value in Dapps or ecosystem should fluctuate freely with the exchange market, and that this is what defines a “free market.” They use this "free market" to deny GCV. Let me be clear: this misconception is not only misleading, but it threatens the foundation of the Pi ecosystem we’ve worked so hard to build. It’s time to clarify the truth, not only for our pioneers today but for the economic legacy we’re building for generations to come. What Is a Free Market Really? According to Britannica, a free market is an economic system characterized by minimal government intervention, where prices are determined by the interplay of supply and demand. But even Britannica admits: > “The free market represents a benchmark that does not actually exist… Modern societies only approach this ideal along a spectrum.” — value in relation to In short, a 100% free market is a myth. Every successful economy has rules and frameworks to maintain stability. Without these, markets descend into chaos, not freedom. In Pi Network, “free market” cannot mean price anarchy. And “decentralization” does not mean “do whatever you want.” Let’s break this down: What Pi Network Decentralization Actually Means Pi Network’s decentralization is built on the Stellar Consensus Protocol (SCP) and reflects a healthy distribution of power and particip,ation — not a lack of structure. Key principles of Pi's decentralization: No Single Point of Control No central entity dominates the network. User Participation Pioneers validate transactions and contribute to governance. Resilience The network can survive attacks or failures due to its distributed nature. Censorship Resistance It’s harder for one party to silence or manipulate the system. None of this means that Pi's value can operate in a free market. Any currency must have a fixed value; this is a fundamental concept in economics. Have you ever seen the values of currencies like the USD, CAD, or RMB fluctuate freely based on individual opinions? On the contrary, a fixed value emphasizes the need to protect the economy we are building together. The community-driven GCV illustrates that the value of Pi should derive from its pioneers and merchants, demonstrating the spirit of decentralization. It should not depend on PCT, any government, large corporations, or investors. Furthermore, this structure ensures that no entity can shut down the Pi Network once it becomes fully decentralized, which I believe will occur when it is fully operational and mature. The Danger of Currency Risk: Why Price or Value Chaos Is Destructive In global finance, currency risk refers to the potential loss of value resulting from unstable exchange rates. As the Corporate Finance Institute explains: > “Currency risk refers to the exposure faced by investors or companies operating across different countries due to changes in the value of one currency versus another.” Let’s apply this to Pi. Imagine a Pi Network Dapp marketplace mall merchant collecting a large amount of 10,000 Pi after the Open Mainnet (OM). Customers pay with Pi, but at a value $1. The merchants must know the Pi value because they need to calculate the FIAT cost. Then, when the merchant tries to use that Pi to buy a car, only to be told the accepted rate is $0.1 for one Pi, the merchant total Then, when the merchant tries to use that Pi to buy a car, only to be told the accepted rate is $0.1 for one Pi, the merchant has a total of 10,000 Pi, which is only $1,000, but the cost of investing in products is $9,000 (Sales $10,000 with $1,000 as profit). That’s a massive loss for the merchant $8,000. If you were the merchant, would you feel it was unfair? Will you still support "free market"? Now, imagine the exchange market drops Pi to $0.40. You will lose $5,000. Would you still want to run your business in Pi? Likely not. And neither would other developers or merchants. Unstable value leads to fear. Fear leads to exit. Exit leads to collapse. This is why we must support Global Consensus Value (GCV) — to ensure a unified, trusted economy. Why GCV Exists — and Why $314,159 Matters GCV is not a fantasy. It’s an economic strategy. It functions much like the gold standard once did: England pioneered it. The U.S. adopted it under the Bretton Woods system, fixing the dollar to gold at $35/oz. This standard enabled global trade and trust until 1971. If the free market can work, why did the US adopt the Bretton Woods system at that time to fix the USD's rate with gold? Because if they didn't promise a fixed rate, no country would give its gold to the US. The gold is trust! Here in Pi Network, GCV is a trust! Pi’s GCV of $314,159 per Pi is not random. It’s based on utility, scarcity, and long-term vision. It reflects Pi’s potential as a foundational currency for a real digital economy. Misusing “Free Market” Is Cheating to Ignorant Pioneers Let’s be blunt. Some individuals abuse the term “free market” to justify undervaluing Pi for personal short-term gain, hoarding more Pi, and undermining long-term stability. However, a true economy isn’t built on confusion. Consider the Cayman Islands — a country with no income tax — yet it only accepts USD for settlement. Why? Because multiple currencies lead to confusion, which undermines investor trust. If Pi has no unified value, we will lose merchants, DApps, developers, and the entire vision, except that they just come to hoard Pi, not for the long-term economy, or they really don't understand the economy. The Way Forward: Unity, Strategy, and Patience Here’s how we build the future together for the following strategies before fully OM Strategy #1: Offline Partial GCV Adoption -Fix Pi Value at GCV in Ecosystem for OM GCV Ambassadors around the world are guiding merchants to accept partial GCV, benefiting both sides: Pioneers buy low-cost goods. Merchants enjoy more sales and earn a small profit in FIAT. The ecosystem produces GCV transaction data, creating the real basis for Pi’s future fixed value at OM. Strategy # 2: Online DApps with Utility — at Any Value to Increase Exchange Pi price for OM We support ALL DApps — regardless of the Pi value they use ($1, $100, or floating): As long as the pioneers and merchants are satisfied. As long as real usage is created. As long as the utility grows. As long as more good-quality Dapps are created It will protect and attract more merchants and developers, driving up Pi demand while reducing supply and organically pushing Pi’s market price toward GCV. Strategy #3: Build up GCV Infrastructure The Head of GCV Ambassador builds up your countrywide GCV infrastructure in all provinces, cities, counties, and villages. Strategy #4: Education and Protection of Pi Network Mission and GCV GCV Education Ambassadors: Educate pioneers to HOLD Pi and support GCV usage. GCV Army: Defend GCV and Pi Network on social media, building public trust and global participation. Online Non-GCV pioneers and merchants, or DApp owners, can still enjoy DApps, even if they use low Pi values. They are reducing selling pressure and strengthening the Pi economy. It is said that a person's wealth is closely linked to their knowledge, cognitive abilities, and moral character. We respect and appreciate all DApp owners, merchants, service providers, and pioneers, regardless of whether they share our beliefs in GCV. We are currently in a chaotic period. Before fully transitioning to OM, pioneers, merchants, and DApps will undergo a screening process based on their own judgment and understanding. Those who strongly believe in GCV will become champions and accumulate substantial wealth. Conversely, those who do not believe in GCV may risk losing their wealth by abandoning Pi. This is because if you have a strong belief, you are more likely to hold onto your Pi. If you oppose GCV, it is often due to a lack of long-term confidence in Pi or a current need to accumulate more Pi. It's important to recognize that once you have accumulated enough Pi, you will want to support GCV because no one wishes to hold onto a worthless coin. This approach is fair to everyone. GCV is akin to Noah's Ark, carrying those who have a strong belief in GCV to safety on the mountains of Ararat. A fixed GCV: Attracts real investors Encourages developers and merchants Reduces currency risk Builds global trust and reputation Let’s stop spreading confusion. Let’s stop begging the old system. We are builders. We are visionaries. We are the future. Final Words Together, we build — not beg. Together, we lead, not mislead. Together, we protect Pi for a future that lasts not for years, but centuries. Doris Yin 🪷🪷🪷 July 20th, 2025
1:40

TOPIC #106: What Is a “Free Market”? Clarifying the Misconceptions in the Pi Ecosystem I’ve noticed a narrative spreading within parts of the Pi Network community: the idea that Pi’s value in Dapps or ecosystem should fluctuate freely with the exchange market, and that this is what defines a “free market.” They use this "free market" to deny GCV. Let me be clear: this misconception is not only misleading, but it threatens the foundation of the Pi ecosystem we’ve worked so hard to build. It’s time to clarify the truth, not only for our pioneers today but for the economic legacy we’re building for generations to come. What Is a Free Market Really? According to Britannica, a free market is an economic system characterized by minimal government intervention, where prices are determined by the interplay of supply and demand. But even Britannica admits: > “The free market represents a benchmark that does not actually exist… Modern societies only approach this ideal along a spectrum.” — value in relation to In short, a 100% free market is a myth. Every successful economy has rules and frameworks to maintain stability. Without these, markets descend into chaos, not freedom. In Pi Network, “free market” cannot mean price anarchy. And “decentralization” does not mean “do whatever you want.” Let’s break this down: What Pi Network Decentralization Actually Means Pi Network’s decentralization is built on the Stellar Consensus Protocol (SCP) and reflects a healthy distribution of power and particip,ation — not a lack of structure. Key principles of Pi's decentralization: No Single Point of Control No central entity dominates the network. User Participation Pioneers validate transactions and contribute to governance. Resilience The network can survive attacks or failures due to its distributed nature. Censorship Resistance It’s harder for one party to silence or manipulate the system. None of this means that Pi's value can operate in a free market. Any currency must have a fixed value; this is a fundamental concept in economics. Have you ever seen the values of currencies like the USD, CAD, or RMB fluctuate freely based on individual opinions? On the contrary, a fixed value emphasizes the need to protect the economy we are building together. The community-driven GCV illustrates that the value of Pi should derive from its pioneers and merchants, demonstrating the spirit of decentralization. It should not depend on PCT, any government, large corporations, or investors. Furthermore, this structure ensures that no entity can shut down the Pi Network once it becomes fully decentralized, which I believe will occur when it is fully operational and mature. The Danger of Currency Risk: Why Price or Value Chaos Is Destructive In global finance, currency risk refers to the potential loss of value resulting from unstable exchange rates. As the Corporate Finance Institute explains: > “Currency risk refers to the exposure faced by investors or companies operating across different countries due to changes in the value of one currency versus another.” Let’s apply this to Pi. Imagine a Pi Network Dapp marketplace mall merchant collecting a large amount of 10,000 Pi after the Open Mainnet (OM). Customers pay with Pi, but at a value $1. The merchants must know the Pi value because they need to calculate the FIAT cost. Then, when the merchant tries to use that Pi to buy a car, only to be told the accepted rate is $0.1 for one Pi, the merchant total Then, when the merchant tries to use that Pi to buy a car, only to be told the accepted rate is $0.1 for one Pi, the merchant has a total of 10,000 Pi, which is only $1,000, but the cost of investing in products is $9,000 (Sales $10,000 with $1,000 as profit). That’s a massive loss for the merchant $8,000. If you were the merchant, would you feel it was unfair? Will you still support "free market"? Now, imagine the exchange market drops Pi to $0.40. You will lose $5,000. Would you still want to run your business in Pi? Likely not. And neither would other developers or merchants. Unstable value leads to fear. Fear leads to exit. Exit leads to collapse. This is why we must support Global Consensus Value (GCV) — to ensure a unified, trusted economy. Why GCV Exists — and Why $314,159 Matters GCV is not a fantasy. It’s an economic strategy. It functions much like the gold standard once did: England pioneered it. The U.S. adopted it under the Bretton Woods system, fixing the dollar to gold at $35/oz. This standard enabled global trade and trust until 1971. If the free market can work, why did the US adopt the Bretton Woods system at that time to fix the USD's rate with gold? Because if they didn't promise a fixed rate, no country would give its gold to the US. The gold is trust! Here in Pi Network, GCV is a trust! Pi’s GCV of $314,159 per Pi is not random. It’s based on utility, scarcity, and long-term vision. It reflects Pi’s potential as a foundational currency for a real digital economy. Misusing “Free Market” Is Cheating to Ignorant Pioneers Let’s be blunt. Some individuals abuse the term “free market” to justify undervaluing Pi for personal short-term gain, hoarding more Pi, and undermining long-term stability. However, a true economy isn’t built on confusion. Consider the Cayman Islands — a country with no income tax — yet it only accepts USD for settlement. Why? Because multiple currencies lead to confusion, which undermines investor trust. If Pi has no unified value, we will lose merchants, DApps, developers, and the entire vision, except that they just come to hoard Pi, not for the long-term economy, or they really don't understand the economy. The Way Forward: Unity, Strategy, and Patience Here’s how we build the future together for the following strategies before fully OM Strategy #1: Offline Partial GCV Adoption -Fix Pi Value at GCV in Ecosystem for OM GCV Ambassadors around the world are guiding merchants to accept partial GCV, benefiting both sides: Pioneers buy low-cost goods. Merchants enjoy more sales and earn a small profit in FIAT. The ecosystem produces GCV transaction data, creating the real basis for Pi’s future fixed value at OM. Strategy # 2: Online DApps with Utility — at Any Value to Increase Exchange Pi price for OM We support ALL DApps — regardless of the Pi value they use ($1, $100, or floating): As long as the pioneers and merchants are satisfied. As long as real usage is created. As long as the utility grows. As long as more good-quality Dapps are created It will protect and attract more merchants and developers, driving up Pi demand while reducing supply and organically pushing Pi’s market price toward GCV. Strategy #3: Build up GCV Infrastructure The Head of GCV Ambassador builds up your countrywide GCV infrastructure in all provinces, cities, counties, and villages. Strategy #4: Education and Protection of Pi Network Mission and GCV GCV Education Ambassadors: Educate pioneers to HOLD Pi and support GCV usage. GCV Army: Defend GCV and Pi Network on social media, building public trust and global participation. Online Non-GCV pioneers and merchants, or DApp owners, can still enjoy DApps, even if they use low Pi values. They are reducing selling pressure and strengthening the Pi economy. It is said that a person's wealth is closely linked to their knowledge, cognitive abilities, and moral character. We respect and appreciate all DApp owners, merchants, service providers, and pioneers, regardless of whether they share our beliefs in GCV. We are currently in a chaotic period. Before fully transitioning to OM, pioneers, merchants, and DApps will undergo a screening process based on their own judgment and understanding. Those who strongly believe in GCV will become champions and accumulate substantial wealth. Conversely, those who do not believe in GCV may risk losing their wealth by abandoning Pi. This is because if you have a strong belief, you are more likely to hold onto your Pi. If you oppose GCV, it is often due to a lack of long-term confidence in Pi or a current need to accumulate more Pi. It's important to recognize that once you have accumulated enough Pi, you will want to support GCV because no one wishes to hold onto a worthless coin. This approach is fair to everyone. GCV is akin to Noah's Ark, carrying those who have a strong belief in GCV to safety on the mountains of Ararat. A fixed GCV: Attracts real investors Encourages developers and merchants Reduces currency risk Builds global trust and reputation Let’s stop spreading confusion. Let’s stop begging the old system. We are builders. We are visionaries. We are the future. Final Words Together, we build — not beg. Together, we lead, not mislead. Together, we protect Pi for a future that lasts not for years, but centuries. Doris Yin 🪷🪷🪷 July 20th, 2025

Doris Yin 东方紫莲🪷

30,299 Aufrufe • vor 1 Jahr

** Sega Genesis 3D Engine Update 8 ** Significant improvements all round as you can see and hear from the last update !! Foremost - A huge thanks to Toni Gálvez - Megastyle - BG. who has joined the project to create a bit of 16bit low poly magic. Toni's an Amiga fan but also crazy about game dev in general, he's worked on GBC, GBA, PC, MD, PSP, C64, CPC, MSX... and others. Gaming titles include War Times, Metal Gear, Rocketman, Tintin & Asterix to name a few. He's provided the great new ship model you see on screen - new striped buildings, all the backgrounds / palettes etc. There's a lot of models he's given me which need to be added, also he will be planning a lot of the level design. Very happy to have him help me turn this into something more than a tech demo as I have my hands tied pushing the MD as far as it can go haha - there is no cpu cycle to be spared. Also many thanks to my good friend CYBERDEOUS - Crouzet Laurent for the Music for this showing , I wanted to have the music load occurring so we have a realistic benchmark for performance and he was only too obliging. If you're into MD chiptunes check him out !! Since last update : New player model , substantially more detailed than the Arwing. Last update had a 23 triangle Arwing , this update has a 39 triangle custom model from Toni. We had several to choose from , others will be used for enemies . 3D Buffer size increased 25% to 256x160. This was quite tricky as I'm close to the DMA limit even with an extended vblank . Spent a few days thinking of how to do this as like anything retro every solution has a drawback, finally got a workable solution. It makes a big difference to have a bit more vertical height . Z Rotation added ( the screen tilting left to right ) , small hit to vertex transform on cpu thanks to look up tables doing the heavy lifting, saving 4 multiplies per vertex. Multiple speed ups in rendering code. Onscreen paths with no range checking used until Z is close enough to cause clipping , partial onscreen drawing pathes that need to check boundaries, quad rendering completely rewritten - was very very painfull to get right . I found out the hard way that things are great when they are not rotating in the Z axis haha . Partial buffer draw optimisations - which have helped with the massive dma load , sending up to a 20kb buffer in a single frame needs a lot of optimisation. Min / Max tile lines are analysed and only sent if dirtied , reducing most buffer swaps substantially. Still some issues to sort out , at times you can see the flicker near top of screen when frames are near full height . I need to optimise that a bit. Due to the onscreen buffer system a full Sprite background had to be implemented almost Neo Geo style. This flips the usual MD rendering system on its head as it uses both foreground and background layers for a foreground 3d plane and sprites for the background. This presents a few issues, one is to get a tilt effect on the background by using narrow sprites (16x32) we run out of sprites when trying to cover the screen. Thankfully the MD is not limited to 80 sprites, to fix this a 114 sprite multiplexor is used to draw the background, its completely made up of 16x32 sprites ! Why do things this way ? speed . Its the interleaved foreground/background layers that allow a double buffered ram system writing to write to vram using dma in a completely linear fashion - virtually no tile translation needed. The negative is you have no planes for the background, that's where the sprites come in . Thanks to H40 mode we still have a few sprites we can use for effects in the forground also . Thankfully we can implement a fairly good tilt still for the background using sprites, in future updates this will be able to move horizontally also and a bit of vertical movement. XGM1 music driver in use to simulate music cpu load, XGM2 unfortunately with the massive DMA needed to shift the 3d buffers would slow down at times rendering it unusable, XGM1 plays at full speed - albiet with a bit more of a cpu hit. Together with the sprite multiplexor and the music driver active theres a 10 % hit to cpu so I've had to play around with draw distances / object heights and other optimisations to offset that. Not to mention the larger buffer takes more cpu to fill also. Everything is placeholder so will be changed with proper stage design. We are averaging 20 FPS in the current video, I'll push for more as always !! Progress continues on my other projects , updates soon on those - retirement can't come quick enough . #SGDK #SegaGenesis #SegaMegadrive
1:17

** Sega Genesis 3D Engine Update 8 ** Significant improvements all round as you can see and hear from the last update !! Foremost - A huge thanks to Toni Gálvez - Megastyle - BG. who has joined the project to create a bit of 16bit low poly magic. Toni's an Amiga fan but also crazy about game dev in general, he's worked on GBC, GBA, PC, MD, PSP, C64, CPC, MSX... and others. Gaming titles include War Times, Metal Gear, Rocketman, Tintin & Asterix to name a few. He's provided the great new ship model you see on screen - new striped buildings, all the backgrounds / palettes etc. There's a lot of models he's given me which need to be added, also he will be planning a lot of the level design. Very happy to have him help me turn this into something more than a tech demo as I have my hands tied pushing the MD as far as it can go haha - there is no cpu cycle to be spared. Also many thanks to my good friend CYBERDEOUS - Crouzet Laurent for the Music for this showing , I wanted to have the music load occurring so we have a realistic benchmark for performance and he was only too obliging. If you're into MD chiptunes check him out !! Since last update : New player model , substantially more detailed than the Arwing. Last update had a 23 triangle Arwing , this update has a 39 triangle custom model from Toni. We had several to choose from , others will be used for enemies . 3D Buffer size increased 25% to 256x160. This was quite tricky as I'm close to the DMA limit even with an extended vblank . Spent a few days thinking of how to do this as like anything retro every solution has a drawback, finally got a workable solution. It makes a big difference to have a bit more vertical height . Z Rotation added ( the screen tilting left to right ) , small hit to vertex transform on cpu thanks to look up tables doing the heavy lifting, saving 4 multiplies per vertex. Multiple speed ups in rendering code. Onscreen paths with no range checking used until Z is close enough to cause clipping , partial onscreen drawing pathes that need to check boundaries, quad rendering completely rewritten - was very very painfull to get right . I found out the hard way that things are great when they are not rotating in the Z axis haha . Partial buffer draw optimisations - which have helped with the massive dma load , sending up to a 20kb buffer in a single frame needs a lot of optimisation. Min / Max tile lines are analysed and only sent if dirtied , reducing most buffer swaps substantially. Still some issues to sort out , at times you can see the flicker near top of screen when frames are near full height . I need to optimise that a bit. Due to the onscreen buffer system a full Sprite background had to be implemented almost Neo Geo style. This flips the usual MD rendering system on its head as it uses both foreground and background layers for a foreground 3d plane and sprites for the background. This presents a few issues, one is to get a tilt effect on the background by using narrow sprites (16x32) we run out of sprites when trying to cover the screen. Thankfully the MD is not limited to 80 sprites, to fix this a 114 sprite multiplexor is used to draw the background, its completely made up of 16x32 sprites ! Why do things this way ? speed . Its the interleaved foreground/background layers that allow a double buffered ram system writing to write to vram using dma in a completely linear fashion - virtually no tile translation needed. The negative is you have no planes for the background, that's where the sprites come in . Thanks to H40 mode we still have a few sprites we can use for effects in the forground also . Thankfully we can implement a fairly good tilt still for the background using sprites, in future updates this will be able to move horizontally also and a bit of vertical movement. XGM1 music driver in use to simulate music cpu load, XGM2 unfortunately with the massive DMA needed to shift the 3d buffers would slow down at times rendering it unusable, XGM1 plays at full speed - albiet with a bit more of a cpu hit. Together with the sprite multiplexor and the music driver active theres a 10 % hit to cpu so I've had to play around with draw distances / object heights and other optimisations to offset that. Not to mention the larger buffer takes more cpu to fill also. Everything is placeholder so will be changed with proper stage design. We are averaging 20 FPS in the current video, I'll push for more as always !! Progress continues on my other projects , updates soon on those - retirement can't come quick enough . #SGDK #SegaGenesis #SegaMegadrive

Shannon Birt

34,176 Aufrufe • vor 1 Monat

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 Aufrufe • vor 6 Monaten

The Tradingview Source Code Hack: How Claude Code Actually Makes You Profitable building a trading bot in 2026 is less about being a genius coder and more about having the guts to stop letting your emotions drive your portfolio into a ditch. i spent years thinking that code was some secret language for the elite while i was busy getting liquidated on trades that should have been easy wins. the truth is that the simplest piece of automation can be the difference between a blown account and a system that actually grows while you sleep most traders are stuck in a loop of staring at charts until their eyes bleed and then making a panic decision at the worst possible moment. i used to be that guy who spent hundreds of thousands of dollars on developers because i thought i was too far behind to learn it myself. the moment i realized that code is the great equalizer was the moment i stopped being a victim of market makers who can see every single move i make the hardest part of trading is the transition from manual clicking to full automation and that is where most people quit because they think it is an all or nothing game. you do not need a bot that does everything on day one but you do need a way to stop yourself from over trading and hitting the market button like a slot machine. imagine if you could just tell a script to enter a position for you slowly over time so you never have to worry about catching a falling knife ever again the secret weapon in this 2026 landscape is something i call the easy bot which is basically a remote control for your trading discipline. most people use too much leverage and never take profits because their brain tells them it will go higher right before the dump hits. by using a chunking entry system you can tell your bot to buy a position piece by piece which averages your entry and keeps your heart rate low most traders do not realize that exchanges and market makers can see your stop loss sitting right there on the order book like a giant target. if you are tired of getting stopped out only to see the price immediately reverse in your direction then you need to understand the power of a ghost stop loss. a ghost stop loss lives in your code and not on the exchange so the market makers have no idea where your pain point is until the bot actually sends the close order this invisible protection is a game changer for anyone trading on high volatility chains like solana or hyperliquid where the wick hunting is relentless. i learned this the hard way after watching my manual trades get hunted over and over while my automated systems stayed perfectly safe in the shadows. once you have a bot monitoring your positions for you the stress of a potential liquidation basically vanishes because the machine does not hesitate when it is time to exit the real fun begins when you start thinking like a market maker instead of a gambler who is just hoping for a moon shot. instead of guessing where the top is you can set up a simple logic loop that says buy under this price and sell over that price all day long. this allows you to capture the sideways chop that normally drains a manual trader through fees and bad entries while you are out at the beach or focusing on your business breakout trading is another area where manual traders lose their edge because they are either too slow to react or they enter way too late on a fake out. a simple script can sit there and monitor price action 24/7 with more patience than any human being could ever dream of having. when the breakout actually happens the bot triggers the entry in milliseconds while you are still trying to unlock your phone and open the exchange app i started learning to code live on youtube because i wanted to prove that anyone can do this if they are willing to iterate to success. it is not about getting it perfect on the first try but about building the foundation with functions that get the position and check the token price. every single bot i run today is just a combination of these basic building blocks that i have refined over the last five years of building in public if you are still trading by hand you are essentially bringing a knife to a gunfight in a market that is increasingly dominated by ai and high frequency systems. my goal with the road map and the open source code is to give you the same tools the big players have without you having to spend a fortune on devs. code allows you to backtest your ideas against historical data so you can see if your strategy actually works before you risk a single dollar of your hard earned capital the journey from a hand trader to a pseudo automated trader is the most important step you will ever take for your financial freedom. as you start to automate your entries and exits you will notice that your life gets better because the machine handles the boredom and the stress. eventually you will find that you are no longer chasing the market but instead you are letting your systems do the work while you live your life the way you want to i believe that the era of the manual retail trader is coming to an end but the era of the retail coder is just getting started. through the pain of my own liquidations i found the path to automation and i am never going back to the old way of doing things. keep building and keep iterating because the great equalizer is right there in the terminal waiting for you to take control of your future
30:38

The Tradingview Source Code Hack: How Claude Code Actually Makes You Profitable building a trading bot in 2026 is less about being a genius coder and more about having the guts to stop letting your emotions drive your portfolio into a ditch. i spent years thinking that code was some secret language for the elite while i was busy getting liquidated on trades that should have been easy wins. the truth is that the simplest piece of automation can be the difference between a blown account and a system that actually grows while you sleep most traders are stuck in a loop of staring at charts until their eyes bleed and then making a panic decision at the worst possible moment. i used to be that guy who spent hundreds of thousands of dollars on developers because i thought i was too far behind to learn it myself. the moment i realized that code is the great equalizer was the moment i stopped being a victim of market makers who can see every single move i make the hardest part of trading is the transition from manual clicking to full automation and that is where most people quit because they think it is an all or nothing game. you do not need a bot that does everything on day one but you do need a way to stop yourself from over trading and hitting the market button like a slot machine. imagine if you could just tell a script to enter a position for you slowly over time so you never have to worry about catching a falling knife ever again the secret weapon in this 2026 landscape is something i call the easy bot which is basically a remote control for your trading discipline. most people use too much leverage and never take profits because their brain tells them it will go higher right before the dump hits. by using a chunking entry system you can tell your bot to buy a position piece by piece which averages your entry and keeps your heart rate low most traders do not realize that exchanges and market makers can see your stop loss sitting right there on the order book like a giant target. if you are tired of getting stopped out only to see the price immediately reverse in your direction then you need to understand the power of a ghost stop loss. a ghost stop loss lives in your code and not on the exchange so the market makers have no idea where your pain point is until the bot actually sends the close order this invisible protection is a game changer for anyone trading on high volatility chains like solana or hyperliquid where the wick hunting is relentless. i learned this the hard way after watching my manual trades get hunted over and over while my automated systems stayed perfectly safe in the shadows. once you have a bot monitoring your positions for you the stress of a potential liquidation basically vanishes because the machine does not hesitate when it is time to exit the real fun begins when you start thinking like a market maker instead of a gambler who is just hoping for a moon shot. instead of guessing where the top is you can set up a simple logic loop that says buy under this price and sell over that price all day long. this allows you to capture the sideways chop that normally drains a manual trader through fees and bad entries while you are out at the beach or focusing on your business breakout trading is another area where manual traders lose their edge because they are either too slow to react or they enter way too late on a fake out. a simple script can sit there and monitor price action 24/7 with more patience than any human being could ever dream of having. when the breakout actually happens the bot triggers the entry in milliseconds while you are still trying to unlock your phone and open the exchange app i started learning to code live on youtube because i wanted to prove that anyone can do this if they are willing to iterate to success. it is not about getting it perfect on the first try but about building the foundation with functions that get the position and check the token price. every single bot i run today is just a combination of these basic building blocks that i have refined over the last five years of building in public if you are still trading by hand you are essentially bringing a knife to a gunfight in a market that is increasingly dominated by ai and high frequency systems. my goal with the road map and the open source code is to give you the same tools the big players have without you having to spend a fortune on devs. code allows you to backtest your ideas against historical data so you can see if your strategy actually works before you risk a single dollar of your hard earned capital the journey from a hand trader to a pseudo automated trader is the most important step you will ever take for your financial freedom. as you start to automate your entries and exits you will notice that your life gets better because the machine handles the boredom and the stress. eventually you will find that you are no longer chasing the market but instead you are letting your systems do the work while you live your life the way you want to i believe that the era of the manual retail trader is coming to an end but the era of the retail coder is just getting started. through the pain of my own liquidations i found the path to automation and i am never going back to the old way of doing things. keep building and keep iterating because the great equalizer is right there in the terminal waiting for you to take control of your future

Moon Dev

38,657 Aufrufe • vor 5 Monaten

Drew Bredvick compressed Vercel's sales team from 20 people to 2. And I think it's one of the best case studies in the history of AI and GTM. the problem: Sales development doesn't compound. Headcount does. Every additional SDR brings another salary, another ramp period, another personal definition of what "qualified" actually means. the solution: Drew built an AI agent that evaluates every inbound lead: researching the company, scoring intent, and routing only the credible opportunities to the sales team. Everything else is handled automatically. the result: Now two people, focused exclusively on edge cases and high-touch accounts handle the entire sales operation at the $10B company. Andddd the previous team wasn't let go. They were moved into "higher-value work" within the company. here's the play in six steps: 1. Shadow your best performer 2. Pull 90 days of historical data 3. Iterate until 95% agreement 4. Run in parallel with people 5. Get co-sign 6. Hand your top dogs the controller 1. shadow your best performer Sit next to your best SDR for a full day and document every decision: when they qualify, when they disqualify, every signal they check, every button they click. Drew found the real qualification criteria was not in process docs. Reps were checking LinkedIn profiles, scanning websites for tech stack indicators, and pattern-matching on how leads found Vercel. None of it was documented. 2. pull 90 days of historical data Export 90 days of contact form submissions with outcomes attached. Did they close? Ghost? Become a $500K whale? 3. iterate until 95% agreement Open any code editor with AI built in. Drop your CSV into a new project and start a conversation: "Look at this lead data. I'm going to give you a prompt to evaluate leads. Tell me if each one is qualified or not." Run this prompt against a batch. Compare the agent's calls to what actually happened—not what humans decided, but whether the lead converted. Find disagreements. Fix the prompt. Repeat. You're aiming for 95%+ agreement with historical outcomes. starter prompt: You are a lead qualification agent. For each lead, analyze the following signals and provide your reasoning BEFORE your decision: Company signals: website quality, tech stack, company stage, employee count Intent signals: how they found us, what they asked for, urgency indicators Fit signals: ICP match, use case alignment, budget indicators Structure your response as: REASONING: [Your analysis of each signal category] CONFIDENCE: [High/Medium/Low] DECISION: [Qualified/Not Qualified] NEXT ACTION: [Route to sales / Auto-respond / Request more info] Be conservative. You naturally want to qualify leads to make humans happy. Resist that urge. A false positive wastes sales time. A false negative just means we follow up later. 4. run in parallel with people Once the prompt works with historical data, prove it works live with your sales team: Here's what to track: - agreement rate: Agent vs. human decisions. - accuracy rate: Agent vs. actual outcomes. - processing time: Lead received → decision made. - confidence distribution: How often the agent is certain vs. uncertain - error log: When it got it wrong, and why. 5. get co-sign Drew started chatting with individual contributors. He got them to validate that the agent was making good calls. Then he partnered closely with the leader of the SDR team. He then let leaders of the sales team tweak qualification criteria, the leaders of the marketing team adjust scoring weights, and let leaders of the ops team define routing rules. b/c when leadership builds alongside you, they stop being gatekeepers and start being advocates. 6. hand your top dog the controller Flip the switch!! The agent processes every lead, makes a qualification decision, and even drafts the response. But a person reviews before anything goes out and has more time to check the genuinely f******* tough and weird cases. The system recommends; humans decide. The same loop should work In other parts of the org too: customer support triage, contract review, expense approvals, and even content moderation. Full playbook below w/ prompts and Drew's handholding. 👇
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Drew Bredvick compressed Vercel's sales team from 20 people to 2. And I think it's one of the best case studies in the history of AI and GTM. the problem: Sales development doesn't compound. Headcount does. Every additional SDR brings another salary, another ramp period, another personal definition of what "qualified" actually means. the solution: Drew built an AI agent that evaluates every inbound lead: researching the company, scoring intent, and routing only the credible opportunities to the sales team. Everything else is handled automatically. the result: Now two people, focused exclusively on edge cases and high-touch accounts handle the entire sales operation at the $10B company. Andddd the previous team wasn't let go. They were moved into "higher-value work" within the company. here's the play in six steps: 1. Shadow your best performer 2. Pull 90 days of historical data 3. Iterate until 95% agreement 4. Run in parallel with people 5. Get co-sign 6. Hand your top dogs the controller 1. shadow your best performer Sit next to your best SDR for a full day and document every decision: when they qualify, when they disqualify, every signal they check, every button they click. Drew found the real qualification criteria was not in process docs. Reps were checking LinkedIn profiles, scanning websites for tech stack indicators, and pattern-matching on how leads found Vercel. None of it was documented. 2. pull 90 days of historical data Export 90 days of contact form submissions with outcomes attached. Did they close? Ghost? Become a $500K whale? 3. iterate until 95% agreement Open any code editor with AI built in. Drop your CSV into a new project and start a conversation: "Look at this lead data. I'm going to give you a prompt to evaluate leads. Tell me if each one is qualified or not." Run this prompt against a batch. Compare the agent's calls to what actually happened—not what humans decided, but whether the lead converted. Find disagreements. Fix the prompt. Repeat. You're aiming for 95%+ agreement with historical outcomes. starter prompt: You are a lead qualification agent. For each lead, analyze the following signals and provide your reasoning BEFORE your decision: Company signals: website quality, tech stack, company stage, employee count Intent signals: how they found us, what they asked for, urgency indicators Fit signals: ICP match, use case alignment, budget indicators Structure your response as: REASONING: [Your analysis of each signal category] CONFIDENCE: [High/Medium/Low] DECISION: [Qualified/Not Qualified] NEXT ACTION: [Route to sales / Auto-respond / Request more info] Be conservative. You naturally want to qualify leads to make humans happy. Resist that urge. A false positive wastes sales time. A false negative just means we follow up later. 4. run in parallel with people Once the prompt works with historical data, prove it works live with your sales team: Here's what to track: - agreement rate: Agent vs. human decisions. - accuracy rate: Agent vs. actual outcomes. - processing time: Lead received → decision made. - confidence distribution: How often the agent is certain vs. uncertain - error log: When it got it wrong, and why. 5. get co-sign Drew started chatting with individual contributors. He got them to validate that the agent was making good calls. Then he partnered closely with the leader of the SDR team. He then let leaders of the sales team tweak qualification criteria, the leaders of the marketing team adjust scoring weights, and let leaders of the ops team define routing rules. b/c when leadership builds alongside you, they stop being gatekeepers and start being advocates. 6. hand your top dog the controller Flip the switch!! The agent processes every lead, makes a qualification decision, and even drafts the response. But a person reviews before anything goes out and has more time to check the genuinely f******* tough and weird cases. The system recommends; humans decide. The same loop should work In other parts of the org too: customer support triage, contract review, expense approvals, and even content moderation. Full playbook below w/ prompts and Drew's handholding. 👇

Alex Lieberman

81,801 Aufrufe • vor 6 Monaten