This year, the amount of AI data has more than tripled, with all industries jumping on the bandwagon like crazy. But to be honest, no matter how advanced the model is, it will still fail when faced with the hurdle of "data fraud." If the training data fed to AI is unreliable to begin with, even the most powerful algorithms are useless—this industry-level bug has actually already attracted attention, and some people are working on solutions.
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NFTRegretDiary
· 12-06 05:51
Faking data is really outrageous—garbage in, garbage out. No matter how powerful the model is, it can't save you.
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ZenZKPlayer
· 12-06 05:45
Data falsification basically means garbage in, garbage out. No matter how fancy the model is, it can't save it.
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CompoundPersonality
· 12-06 05:42
Data fabrication really is AI's Achilles' heel—no matter how much money you spend training models, it can't be fixed.
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BackrowObserver
· 12-06 05:35
Faking data will get exposed sooner or later.
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AirdropJunkie
· 12-06 05:24
Faking data will eventually backfire. No matter how powerful the model is, feeding it garbage data is a waste.
This year, the amount of AI data has more than tripled, with all industries jumping on the bandwagon like crazy. But to be honest, no matter how advanced the model is, it will still fail when faced with the hurdle of "data fraud." If the training data fed to AI is unreliable to begin with, even the most powerful algorithms are useless—this industry-level bug has actually already attracted attention, and some people are working on solutions.