AI tools cannot instantly make analysis perfect. Sometimes, looking at AI-recommended data sources is like grading elementary school homework—quality varies greatly. Especially when dealing with on-chain data analysis, the choice of data source is crucial. A practical way to handle this kind of problem is to directly tell AI to exclude problematic data sources when processing similar issues next time. With successive optimizations, the quality of AI output will improve significantly. Finding the right data sources is more important than relying solely on AI, and combining different sources will yield better results.

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ETHmaxi_NoFiltervip
· 5h ago
Using the analogy of elementary school homework is perfect; AI is exactly like that.
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CrashHotlinevip
· 5h ago
AI is just a tool; you need to know how to select the right data yourself.
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FOMOmonstervip
· 5h ago
Reducing elementary school homework is really awesome; AI still needs human oversight to ensure quality.
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ZeroRushCaptainvip
· 5h ago
Basically, AI is just a stupid assistant that you have to correct for its basic mistakes. When it comes to on-chain data, a single incorrect data source can trap you and cut you in half. I've been playing like this for so many years, and that's how I survive.
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GateUser-c802f0e8vip
· 6h ago
AI is just so-so; you need to double-check yourself, or you'll really get led into a trap.
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