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❗️Mission failed. Agent lost grip. #funnydog #dogfail #petfails #caughtoncamera #funnyanimals

Kassie Rodriguez

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22,752 Aufrufe • vor 5 Monaten •via X (Twitter)

#funnydog #dogfail #petfails #caughtoncamera #funnyanimals

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i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.

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❌✖️ 𝗔𝗿𝗲 𝘆𝗼𝘂 𝗮𝘄𝗮𝗿𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗵𝗶𝘀𝘁𝗼𝗿𝘆 𝗼𝗳 𝗘𝗽𝘀𝘁𝗲𝗶𝗻’𝘀 𝗶𝘀𝗹𝗮𝗻𝗱 ? - 𝗧𝗵𝗲𝗿𝗲’𝘀 𝗮 𝗯𝗶𝗴 𝗽𝗼𝘀𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝘁𝗵𝗮𝘁 𝗕𝗶𝗹𝗹 𝗖𝗹𝗶𝗻𝘁𝗼𝗻 𝘄𝗮𝘀 𝗶𝗻𝘃𝗼𝗹𝘃𝗲𝗱 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗽𝘂𝗿𝗰𝗵𝗮𝘀𝗲 𝗼𝗳 𝗘𝗽𝘀𝘁𝗲𝗶𝗻’𝘀 𝗶𝘀𝗹𝗮𝗻𝗱 ❗️🚩 (additional video to follow below ) 👇🏽 ✖️Here’s some context as to why I believe Bill Clinton was involved with the acquisition ; 1. In 1997 and 1998 on January 1-5 , Clinton family visited St. Thomas , which is right next to Little St. James (aka Epstein island ) In April 1998 , Epstein allegedly bought the island for 10Million at an auction. Did Bill Clinton scout the island in his previous visits to St. Thomas ? Hmmm 🤔 Bill Clinton also claimed he never visited that island ? In 1998 on January 1st a U.S. Secret Service agent lost his life in a boating accident around St. Thomas, while reportedly slamming into rocks while clearing the runway for Air Force 1 landing . The story reported and the story going around among the locals on the island , doesn’t match up. Totally different stories. The US agent who lost his life , was a Criminal Investigator 🤔 Another things to take into consideration, is the timing / date of the Lewinsky Scandal - Jan. 7, 1998: Lewinsky files an affidavit in the Jones case in which she denies ever having a sexual relationship with President Clinton. - Jan. 21, 1998: Several news organizations report the alleged sexual relationship between Lewinsky and Clinton. Clinton denies the allegations as the scandal erupts. Could this all have been a cover up ? Distraction ?

Yan.x | ॐ

3,051,807 Aufrufe • vor 2 Jahren

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⚠️ 🇷🇺 Un agent de Kiev projetait de commettre un attentat à Saint-Pétersbourg : un homme arrêté avec une bombe dans le métro. À Saint-Pétersbourg, un agent des services spéciaux ukrainiens a été arrêté alors qu'il tentait de faire passer un engin explosif directement dans le métro. Les policiers ont découvert l'objet dangereux lors d'un contrôle de routine à l'entrée du métro. 🇷🇺 Selon le FSB, l'homme arrêté, de nationalité russe, a lui-même contacté la partie ukrainienne pour gagner de l'argent. Au début, il collectait et transmettait à ses supérieurs des informations sur les entreprises militaires de Saint-Pétersbourg et de la région de Léningrad. Par la suite, il a reçu une mission précise : faire exploser la voiture d'un employé du complexe de l'industrie de la défense. Pour cela, il a récupéré dans un lieu caché un engin explosif déguisé en simple traceur GPS. ❗️ L'homme a décidé de prendre... le métro avec cette bombe. En entrant dans la station, la police a immédiatement repéré l'engin dissimulé, après quoi l'agent a été arrêté sur place. Il est difficile de comprendre ce que l'individu espérait en se rendant avec de l'explosif dans l'un des endroits les plus surveillés de la ville.

Camille Moscow 🇷🇺 🌿 ☦️

36,150 Aufrufe • vor 27 Tagen

$🚨SAVING ISRAEL FOR LAST🚨 All the blackpiller's, panican's, and FAGA mouthpieces told you Israel controlled President Trump. They said Trump was captured. They said America was finished. They said the military was compromised. They said the MAGA was dead. They weren’t warning you. They were programming you. Their mission was never truth. Their mission was demoralization. Their assignment was to break your faith, fracture MAGA, isolate Trump, and make Americans turn on the only President with the will, the mandate, and the military backbone to dismantle the global Deep State cabal. We told you the truth from day one. Learn to separate people from governments. Learn to separate nations from infiltrators. Learn to separate patriots from controlled opposition. Learn to separate real America First from FAGA theater. The enemy was never one nation. The enemy was the transnational cabal operating inside all nations. They subvert governments. They capture institutions. They manipulate media. They weaponize intelligence. They hijack narratives. Then they send their social media operatives to convince you that Trump is the problem. Now they are in a PANIC! Every account that tried to make you turn on Trump has been exposed. Every panic merchant who told you to abandon the mission has been exposed. Every fake patriot who disguised Deep State talking points as “America First” has been exposed. They thought they were shaping the battlefield. They were only revealing their positions. Some of you fell for it because you lost faith in the greatest country, the greatest President, and the greatest military force on earth. We never did. We always knew this would unfold and we told you. So to the Deep State operators, narrative handlers, fake MAGA influencers, grifters and FAGA frauds who spent months trying to fracture this movement: You failed. Trump still stands. America still stands. The military still stands. The mission still stands. And now everyone can see exactly who was fighting for America and humanity and who was running cover for the cabal. Do we have your attention now? Good. Because the fog of war is lifting, the battlefield is clearing, and your information war just collapsed in front of the entire world. Semper Fi, -ALPHA$

🚨SAVING ISRAEL FOR LAST🚨 All the blackpiller's, panican's, and FAGA mouthpieces told you Israel controlled President Trump. They said Trump was captured. They said America was finished. They said the military was compromised. They said the MAGA was dead. They weren’t warning you. They were programming you. Their mission was never truth. Their mission was demoralization. Their assignment was to break your faith, fracture MAGA, isolate Trump, and make Americans turn on the only President with the will, the mandate, and the military backbone to dismantle the global Deep State cabal. We told you the truth from day one. Learn to separate people from governments. Learn to separate nations from infiltrators. Learn to separate patriots from controlled opposition. Learn to separate real America First from FAGA theater. The enemy was never one nation. The enemy was the transnational cabal operating inside all nations. They subvert governments. They capture institutions. They manipulate media. They weaponize intelligence. They hijack narratives. Then they send their social media operatives to convince you that Trump is the problem. Now they are in a PANIC! Every account that tried to make you turn on Trump has been exposed. Every panic merchant who told you to abandon the mission has been exposed. Every fake patriot who disguised Deep State talking points as “America First” has been exposed. They thought they were shaping the battlefield. They were only revealing their positions. Some of you fell for it because you lost faith in the greatest country, the greatest President, and the greatest military force on earth. We never did. We always knew this would unfold and we told you. So to the Deep State operators, narrative handlers, fake MAGA influencers, grifters and FAGA frauds who spent months trying to fracture this movement: You failed. Trump still stands. America still stands. The military still stands. The mission still stands. And now everyone can see exactly who was fighting for America and humanity and who was running cover for the cabal. Do we have your attention now? Good. Because the fog of war is lifting, the battlefield is clearing, and your information war just collapsed in front of the entire world. Semper Fi, -ALPHA

ALPHAWARRIOR

30,976 Aufrufe • vor 2 Monaten

🇺🇸🇻🇪 MISSILE FAIL: VENEZUELAN ATTACK ON U.S. HELICOPTERS ENDS IN INSTANT KARMA The military complex in Caracas was supposed to be a fortress for the regime, but during the high-stakes mission to capture the Venezuelan leader, it became the scene of a lopsided firefight. As U.S. transport helicopters moved in to extract the target, a soldier on the ground fired a shoulder-mounted anti-aircraft missile at the low-flying aircraft. The attempt was a total failure: the missile lost its track almost immediately, spiraling off into a nearby hillside while the American helicopters didn't even flinch. The "peace" lasted less than four seconds. Before the smoke from the failed launch had even cleared, the escorting attack helicopters identified the exact window where the shot originated and unleashed a wall of fire. The position was raked with heavy cannon fire and a barrage of rockets, completely suppressing the threat in a matter of moments. While one U.S. helicopter reportedly took minor small-arms fire during the broader raid, the missile attempt resulted in zero American damage and a very bad night for the launch team. "The force arrived at the compound and came under fire, replying with overwhelming force," military officials noted after the mission. While the loyalist forces tried to use aging shoulder-fired tech, the U.S. response was automated, precise, and final. It’s a textbook example of why the current administration has shifted to a "dominant" military posture. Source: CNW, Associated Press, Reuters, The Guardian, CBS News

🇺🇸🇻🇪 MISSILE FAIL: VENEZUELAN ATTACK ON U.S. HELICOPTERS ENDS IN INSTANT KARMA The military complex in Caracas was supposed to be a fortress for the regime, but during the high-stakes mission to capture the Venezuelan leader, it became the scene of a lopsided firefight. As U.S. transport helicopters moved in to extract the target, a soldier on the ground fired a shoulder-mounted anti-aircraft missile at the low-flying aircraft. The attempt was a total failure: the missile lost its track almost immediately, spiraling off into a nearby hillside while the American helicopters didn't even flinch. The "peace" lasted less than four seconds. Before the smoke from the failed launch had even cleared, the escorting attack helicopters identified the exact window where the shot originated and unleashed a wall of fire. The position was raked with heavy cannon fire and a barrage of rockets, completely suppressing the threat in a matter of moments. While one U.S. helicopter reportedly took minor small-arms fire during the broader raid, the missile attempt resulted in zero American damage and a very bad night for the launch team. "The force arrived at the compound and came under fire, replying with overwhelming force," military officials noted after the mission. While the loyalist forces tried to use aging shoulder-fired tech, the U.S. response was automated, precise, and final. It’s a textbook example of why the current administration has shifted to a "dominant" military posture. Source: CNW, Associated Press, Reuters, The Guardian, CBS News

Mario Nawfal

211,907 Aufrufe • vor 7 Monaten

Demis Hassabis on the limit in today’s AI: language can describe the world, but it cannot contain it - and why "World Models" are his "longest standing passion". Language models absorbed far more structure about reality from text than many researchers expected, because human language quietly carries physics, psychology, culture, tools, plans, and cause-and-effect. But text is still a compressed residue of experience, not experience itself. A sentence can say a cup falls from a table, yet it does not fully encode weight, grip, balance, friction, timing, sound, surprise, or the tiny motor corrections a body makes before it even notices them. The world is not only made of facts that can be named; it is made of constraints that have to be lived through, touched, predicted, violated, and repaired. That is why world models matter. They aim to learn the hidden grammar of physical reality: how objects persist, how forces unfold, how space changes when an agent moves, and how action creates feedback. Language models can often reason about the world because people have written so much about it. World models try to learn what the world is like before it becomes words. The difference is exactly what matters because intelligence is not just answering well; it is knowing what would happen next if you moved, reached, pushed, smelled, slipped, or failed. A mind trained only on descriptions may become brilliant at explanation. A mind trained on experience may become better at consequence. --- Full video from "Google DeepMind" and "Hannah Fry" YT channel (link in comment)

Demis Hassabis on the limit in today’s AI: language can describe the world, but it cannot contain it - and why "World Models" are his "longest standing passion". Language models absorbed far more structure about reality from text than many researchers expected, because human language quietly carries physics, psychology, culture, tools, plans, and cause-and-effect. But text is still a compressed residue of experience, not experience itself. A sentence can say a cup falls from a table, yet it does not fully encode weight, grip, balance, friction, timing, sound, surprise, or the tiny motor corrections a body makes before it even notices them. The world is not only made of facts that can be named; it is made of constraints that have to be lived through, touched, predicted, violated, and repaired. That is why world models matter. They aim to learn the hidden grammar of physical reality: how objects persist, how forces unfold, how space changes when an agent moves, and how action creates feedback. Language models can often reason about the world because people have written so much about it. World models try to learn what the world is like before it becomes words. The difference is exactly what matters because intelligence is not just answering well; it is knowing what would happen next if you moved, reached, pushed, smelled, slipped, or failed. A mind trained only on descriptions may become brilliant at explanation. A mind trained on experience may become better at consequence. --- Full video from "Google DeepMind" and "Hannah Fry" YT channel (link in comment)

Rohan Paul

49,938 Aufrufe • vor 2 Monaten

This is a glimpse video of ESN 4th Anniversary, and we’re making this public for those thinking ESN has been destroyed , especially at this stage Shielk Gumi and Imo state DSS Director are calling for the massacre of IPOB/ESN members. They should bear in mind it’s only a tree that’s stand to be cut down . For those being recruited to go after IPOB/ESN members be assured you’re on a suicidal mission. Remember when the agent provocateurs manifested in 2021 after the rendition of Mazi Nnamdi Kanu they tried everything to deceive you they have taken over ESN, they claim ESN was formed by them , the criminal claim it was his name initials that was used to form #ESN, Dave Umahi claimed he has taken over ESN and they’re under his payroll. Also when Mazi Nnamdi Kanu’s siblings failed to hijack IPOB/ESN as their family establishment as they claim, they formed their own gangs and many people were deceived by their actions , that paved ways for criminals to operate in the name IPOB/ESN in order to destroy the IPOB/ESN. The DSS and the Nigerian military relied on all these and launch attacks against innocent IPOB/ESN members , killing and kidnapping Biafran youths for more than four years now . The release of this video is alert those who claim they have destroyed ESN that they’re all criminals and agent provocateurs who are feeding the Nigerian government with false information for monetary gains , some were asked to stop supporting IPOB/ESN until Mazi Nnamdi Kanu is released some asked us to shut ESN down because an order has been given to block all fund to ESN but some IPOB family units said ESN must remain intact and as you can see ESN remains intact and those who were contracted to come and massacre IPOB members shall felt the wrath of these galant security network.

This is a glimpse video of ESN 4th Anniversary, and we’re making this public for those thinking ESN has been destroyed , especially at this stage Shielk Gumi and Imo state DSS Director are calling for the massacre of IPOB/ESN members. They should bear in mind it’s only a tree that’s stand to be cut down . For those being recruited to go after IPOB/ESN members be assured you’re on a suicidal mission. Remember when the agent provocateurs manifested in 2021 after the rendition of Mazi Nnamdi Kanu they tried everything to deceive you they have taken over ESN, they claim ESN was formed by them , the criminal claim it was his name initials that was used to form #ESN, Dave Umahi claimed he has taken over ESN and they’re under his payroll. Also when Mazi Nnamdi Kanu’s siblings failed to hijack IPOB/ESN as their family establishment as they claim, they formed their own gangs and many people were deceived by their actions , that paved ways for criminals to operate in the name IPOB/ESN in order to destroy the IPOB/ESN. The DSS and the Nigerian military relied on all these and launch attacks against innocent IPOB/ESN members , killing and kidnapping Biafran youths for more than four years now . The release of this video is alert those who claim they have destroyed ESN that they’re all criminals and agent provocateurs who are feeding the Nigerian government with false information for monetary gains , some were asked to stop supporting IPOB/ESN until Mazi Nnamdi Kanu is released some asked us to shut ESN down because an order has been given to block all fund to ESN but some IPOB family units said ESN must remain intact and as you can see ESN remains intact and those who were contracted to come and massacre IPOB members shall felt the wrath of these galant security network.

Chinasa Nworu

51,127 Aufrufe • vor 1 Jahr

The Fastest Growing Quant Repo On GitHub: Build Your Own Army Of Autonomous AI Trading Agents getting your hands on the fastest growing trading repository on github is like finding the keys to a vault that never stops printing. most people think they need a math degree to build these things but i am going to show you how a kid from a bedroom can build an empire of autonomous agents the repo was private for months while i perfected the internal logic and now it is back for anyone who wants to stop getting liquidated. you have to wonder why someone would give away the exact code that runs their entire trading business for free but the answer is simpler than you might think i believe code is the great equalizer and if we all have the tools we can finally beat the institutions at their own game. once you realize that the institutions are just using better code than you then the path forward becomes very clear the core of this system is an army of specialized ai agents that handle every single aspect of a professional trading desk. we have a strategy agent that executes the main logic while the risk agent sits over its shoulder to make sure you never lose more than you planned most traders think one bot is enough but the real secret to 2026 trading is having an entire team of ai agents that talk to each other. what happens when your sentiment agent sees a crash coming but your strategy agent is still trying to go long is where most people get wrecked that is exactly where the focus agent and the compliance agent come in to keep the whole system from blowing up your account. by separating these duties into different files you create a system that is robust enough to handle the wildest market conditions imaginable i have been testing every major model from claude to deepseek to see which one actually understands the nuances of the crypto markets. grock is the newest addition to the models folder because the performance we are seeing is finally starting to match the hype you might be wondering how you can possibly manage all these files if you have never written a line of python in your life. there is a specific way to use these models that allows you to vibe code your way to a functional trading desk without a computer science degree if you can copy a folder structure and follow a basic readme then you already have everything you need to start building. the barrier to entry has officially been destroyed by ai and now the only thing left is your willingness to iterate everything lives inside the src folder because organization is the difference between a bot that prints and a bot that crashes. the models folder is where we swap out the brains of the operation whenever a newer and faster llm hits the market to keep us ahead of the curve there is a hidden danger in just copying code without understanding the underlying risk agent logic. if you do not understand how the base agent connects to the exchange then you are just one api error away from a zero balance or a failed execution checking the env example and setting up your keys correctly is the first step to making sure your agents actually have the power to execute. this setup phase is the foundation that everything else is built upon so you cannot afford to be lazy here we have specific agents for every niche including whale watching and sentiment analysis to give you an edge that manual traders can never have. the listing arbitrage agent and the funding agent are there to capture those small inefficiencies that add up over time these agents are not just pieces of code they are employees that never sleep and never let their emotions get in the way of a trade. i spent hundreds of thousands on developers before i realized i could just build these systems myself with the help of ai code is the only thing that does not panic when the market starts dropping or get greedy when things are going up. once you automate your first strategy and see it execute without you being there you will finally understand what true freedom looks like i challenge you to pull this code and start building your own agents because the infrastructure is already there for you to use. you do not need to be a pro coder to start but you do need to be a builder who is ready to ship and iterate every single day the world is changing fast and the people who embrace autonomous trading agents are the ones who will be left standing when the dust settles. i will keep updating the github and shipping new features because the mission is to make sure every trader has the chance to automate their success if you want to join this revolution then go ahead and star the repo so you can follow along as we build out the future of finance. we are just getting started and the agents are only going to get smarter and more efficient from here on out

The Fastest Growing Quant Repo On GitHub: Build Your Own Army Of Autonomous AI Trading Agents getting your hands on the fastest growing trading repository on github is like finding the keys to a vault that never stops printing. most people think they need a math degree to build these things but i am going to show you how a kid from a bedroom can build an empire of autonomous agents the repo was private for months while i perfected the internal logic and now it is back for anyone who wants to stop getting liquidated. you have to wonder why someone would give away the exact code that runs their entire trading business for free but the answer is simpler than you might think i believe code is the great equalizer and if we all have the tools we can finally beat the institutions at their own game. once you realize that the institutions are just using better code than you then the path forward becomes very clear the core of this system is an army of specialized ai agents that handle every single aspect of a professional trading desk. we have a strategy agent that executes the main logic while the risk agent sits over its shoulder to make sure you never lose more than you planned most traders think one bot is enough but the real secret to 2026 trading is having an entire team of ai agents that talk to each other. what happens when your sentiment agent sees a crash coming but your strategy agent is still trying to go long is where most people get wrecked that is exactly where the focus agent and the compliance agent come in to keep the whole system from blowing up your account. by separating these duties into different files you create a system that is robust enough to handle the wildest market conditions imaginable i have been testing every major model from claude to deepseek to see which one actually understands the nuances of the crypto markets. grock is the newest addition to the models folder because the performance we are seeing is finally starting to match the hype you might be wondering how you can possibly manage all these files if you have never written a line of python in your life. there is a specific way to use these models that allows you to vibe code your way to a functional trading desk without a computer science degree if you can copy a folder structure and follow a basic readme then you already have everything you need to start building. the barrier to entry has officially been destroyed by ai and now the only thing left is your willingness to iterate everything lives inside the src folder because organization is the difference between a bot that prints and a bot that crashes. the models folder is where we swap out the brains of the operation whenever a newer and faster llm hits the market to keep us ahead of the curve there is a hidden danger in just copying code without understanding the underlying risk agent logic. if you do not understand how the base agent connects to the exchange then you are just one api error away from a zero balance or a failed execution checking the env example and setting up your keys correctly is the first step to making sure your agents actually have the power to execute. this setup phase is the foundation that everything else is built upon so you cannot afford to be lazy here we have specific agents for every niche including whale watching and sentiment analysis to give you an edge that manual traders can never have. the listing arbitrage agent and the funding agent are there to capture those small inefficiencies that add up over time these agents are not just pieces of code they are employees that never sleep and never let their emotions get in the way of a trade. i spent hundreds of thousands on developers before i realized i could just build these systems myself with the help of ai code is the only thing that does not panic when the market starts dropping or get greedy when things are going up. once you automate your first strategy and see it execute without you being there you will finally understand what true freedom looks like i challenge you to pull this code and start building your own agents because the infrastructure is already there for you to use. you do not need to be a pro coder to start but you do need to be a builder who is ready to ship and iterate every single day the world is changing fast and the people who embrace autonomous trading agents are the ones who will be left standing when the dust settles. i will keep updating the github and shipping new features because the mission is to make sure every trader has the chance to automate their success if you want to join this revolution then go ahead and star the repo so you can follow along as we build out the future of finance. we are just getting started and the agents are only going to get smarter and more efficient from here on out

Moon Dev

24,312 Aufrufe • vor 6 Monaten

ChatGPT can write you a thousand trading strategies from one sentence. 999 will quietly bleed your account dry. Every single one of them looks like a winner. One method pulls the real one out. Quant desks have run it for years. It's called loop engineering. It's not a smarter prompt. It's a loop: generate a strategy, test it, score why it failed, feed that back, and run it again until one survives data it has never seen. Man Group runs $150 billion. They built an AI that writes and tests hundreds of strategies a week. And second agent whose only job is to hunt the ones that secretly overfit and kill them before a cent goes live. > describe an idea -> backtest 5 years in 12 seconds > read why it died -> feed that back in > run it again until one survives data it never saw AI can write a thousand strategies. Loop engineering is the only thing that tells you which one was ever real. 89% of retail lost money in 2025. Almost none of it from bad ideas. All of it from trading the first guess and never running it through backtest loop. Horizon just put the whole thing in a chat box, free while the beta's open: You're not losing to smarter traders. You're losing to the ones who opened the tab. Anyone can generate a strategy now. Almost no one runs the loop that proves it. That gap is the whole edge. You'll mean to check it later. Later is a "waitlist closed" page.

ChatGPT can write you a thousand trading strategies from one sentence. 999 will quietly bleed your account dry. Every single one of them looks like a winner. One method pulls the real one out. Quant desks have run it for years. It's called loop engineering. It's not a smarter prompt. It's a loop: generate a strategy, test it, score why it failed, feed that back, and run it again until one survives data it has never seen. Man Group runs $150 billion. They built an AI that writes and tests hundreds of strategies a week. And second agent whose only job is to hunt the ones that secretly overfit and kill them before a cent goes live. > describe an idea -> backtest 5 years in 12 seconds > read why it died -> feed that back in > run it again until one survives data it never saw AI can write a thousand strategies. Loop engineering is the only thing that tells you which one was ever real. 89% of retail lost money in 2025. Almost none of it from bad ideas. All of it from trading the first guess and never running it through backtest loop. Horizon just put the whole thing in a chat box, free while the beta's open: You're not losing to smarter traders. You're losing to the ones who opened the tab. Anyone can generate a strategy now. Almost no one runs the loop that proves it. That gap is the whole edge. You'll mean to check it later. Later is a "waitlist closed" page.

cvxv666

173,703 Aufrufe • vor 2 Monaten