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SUMMARY: The video shows how beginners can profit from Bittensor mining by learning to optimize miners instead of relying on default setups that quickly fall behind competitors.
It demonstrates how to pull a subnet codebase, load it into Cursor, analyze validator scoring, and locally test miner responses using AI agents.
The demonstration also walks through debugging, modifying prompts, improving scores, and understanding scoring files, proving that non-technical users can become competitive miners with persistence and AI tools.
This sends a strong message, that success in Bittensor mining now depends on learning how subnets work under the hood and AI can be used to rapidly iterate and improve miner performance.
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