I exploited Copilot and burned $46,000 (it cost $40) — Summary & Key Points
TL;DR
The creator, holding over $1 million in Azure credits, is exploiting a loophole in GitHub Copilot's message-based billing to run expensive cryptographic puzzles, aiming to cost the company over $46,000 on a $40 plan. He argues this isn't a 'rug pull' but a necessary correction because the old model cannot handle the cost of agentic workflows and current compute shortages. The video details the specific technical methods used to maximize token consumption and explains the four different billing models for AI inference.
Key Quotes
"It's a rug pull. It's a rug pull. Please explain."
The argument
The Azure Stress Test
The creator spent thousands of dollars proving Azure was 21 times slower than OpenAI, forcing a fix from a high-level exec. Now he is applying that same energy to Copilot, using a free $40 plan to cost them over $550 in just 5% of his usage.
The Exploit Mechanics
He explains that Copilot's old message-based billing fails for agentic workflows. By running a 16-hour cryptography puzzle with 50 concurrent sessions and an unsolvable prompt, he generates requests costing $60+ per message, aiming to hit $46,000 on a $40 plan.
The 'Rug Pull' Defense
He argues the new token-based pricing is not a scam but a necessity due to GPU shortages. He claims Microsoft cannot afford to subsidize users who generate $40,000 of inference for $40, and the old billing model was a loophole that had to be closed.
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