小龙先生
小龙先生|May 23, 2026 22:55
He originally intended to teach AI programming, but unexpectedly exposed a never-ending dollar printing machine that predicts the market! An ordinary Chinese developer casually recorded a 2-minute tutorial, with the camera facing his messy desktop - three monitors crowded together, wires tangled and piled up in the corners of the table, without exquisite scenery or professional lighting, just wanting to share the practical methods of building Claude Code proxy in a simple way. He didn't have high expectations in his heart, thinking that this type of technical tutorial has a niche audience, at most only a few hundred peers can brush it up, and after reading it, he can just like it and turn it over. But he never expected that this ordinary video would completely go viral, and what ignited the whole network was not the programming content he painstakingly talked about. Sharp eyed netizens discovered the mystery and paused the video precisely at 0:47, deliberately avoiding his face and staring fixedly at the second monitor on the right. On that screen, there is no densely packed code editor, no tutorial demonstration interface, only a real-time running Polymarket wallet interface with account ID: gabagool22. The cold numbers stung people's eyes: net profit of $868862, 28620 predicted transactions, account registered in October 2025. What's even more outrageous is that all trades only focus on the 15 minute short-term market of Bitcoin, flipping through the entire trading record without any losses, all are impressive profits. The comment section exploded instantly, and netizens across the internet transformed into digital detectives, opening up a crazy skinning mode. Someone adjusted the video speed to 0.25 times, captured the screen frame by frame, and pieced them together to restore the complete wallet transaction page frame by frame: the entry price was as low as 2-10 cents, but the redemption cost could easily reach thousands of dollars, with extremely low cost to leverage the operation of ultra-high profits, which can be called a textbook level precise harvest. His original intention was pure, just to teach ordinary people how to build AI agents and unlock practical skills for AI programming. However, he inadvertently exposed his fully automatic money printer hidden behind the computer screen to the world's cameras. This is not an accidental operation of a single computer, but a large-scale AI trading farm. Multiple devices run synchronously, scanning different 15 minute trading windows 24 hours a day without interruption. AI autonomously analyzes, orders, and takes profits without human intervention, like a perpetual motion machine, continuously loading US dollars into the wallet. Just 3 hours after the video was released, he realized something was wrong and quickly deleted the original video, but it was already too late. The original tutorial had very few views, only 200 times, but the wallet screenshot taken from the second monitor, with explosive revenue data, went viral across the internet, with views directly exceeding 400000. As of today, 707000 people are closely monitoring this Gabagool22 wallet, keeping an eye on the real-time updates of every transaction. Since then, he has not updated any videos, and social media platforms have completely gone silent, like evaporating from the human world. But no one knows his whereabouts, only that in the room filled with monitors, the screen is still on, the AI trading program is still running tirelessly, the numbers in the wallet are constantly jumping, and the secret AI trading farm is still printing money day and night. He was filled with joy and wanted to teach the world how to use AI, but the whole world witnessed the cruel truth that AI had already earned him a lot of money. This is not an unexpected rise in popularity of technical tutorials, but rather an ordinary person who, in the most casual way, uncovered a hidden corner of the wealth code in the AI era.
+5
Mentioned
Share To

Timeline

HotFlash

APP

X

Telegram

Facebook

Reddit

CopyLink

Hot Reads