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👋What's up my TrendSetters! I took on the challenge to understand how to ACTUALLY analyse subnets on a deeper leve as a complete beginner. Today we are learning how to quickly asses subnet code, see what files are important, how to tweak our miner for it to answer the validators in a more efficient way which is ultimately going to make us earn more alpha tokens. We are looking ai Subnet 103 HappyAI which miners provide answers with ai to validator's questions acting as patients who need mental health. If you make it to the end and apply the nuggets I show you, you will be much better equipped to naviguate your bittensor mining journey! These are live raw examples unseen nowhere else! Enjoy! TIMESTAMPS 0:00 Intro 2:08 Setup 4:56 Where to Start 5:59 Testing 1st prompt! 7:43 Explaining sections (what is what) 12:42 Example of HappyAi Mining 14:17 Prompting for more clarifications 15:52 Installing requirements before test mining 18:40 Starting Worker & Miner & Debugging examples 21:48 I did it ! (1st test run ✅) 22:36 Optimizing the score 24:44 Outro & Minset to retain Cursor https://cursor.com/home?from=agents Subnets https://subnetalpha.ai/ Join our growing bittensor alpha community ! https://aibittensorasssitant.my.canva... #bittensor #ai #cursor #tao #subnet