2026-01-02 17:20:58

Many people think that AI failure is due to lack of information, but that's just the surface reason.

Problems in decentralized systems are much more complex. Anonymity failures are everywhere, AI blindly accepts everything, and then—crash—the system fails. Garbage data goes in, and garbage results come out. This is the real dilemma AI faces on the chain.

But what if we change the perspective? If every contribution can be verified, and every signal is genuine, AI's performance would be completely different. This is the key to solving the problem—not more data, but cleaner data. Decentralized verification mechanisms ensure the authenticity of signals, giving AI a reliable foundation from then on.

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WhaleInTraining

· 2h ago

Just looking at on-chain data quality gives me a headache; there's no way to fix the problem of garbage in, garbage out.

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SchrödingersNode

· 2h ago

Basically, it's the garbage data on the chain that has corrupted AI; the validation mechanism is the real savior.

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BlockchainBouncer

· 2h ago

Basically, it's garbage in, garbage out. That's the current state on the chain; data quality is exploding.

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LayoffMiner

· 2h ago

The core is data verification. Without a verification mechanism, it's all nonsense.

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RugResistant

· 2h ago

garbage in garbage out, been saying this forever. but real talk—most protocols still dgaf about signal quality, they just want volume. until there's actual skin in the game for validators, this stays broken imo

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