2026-01-13 11:35:59

Centralized AI grows through more compute. Decentralized AI grows through people.

One scale is about bigger machines. The other scales through participation.

Here's what shifts things: when you keep humans in the feedback loop, your models don't just get larger—they get smarter. The difference compounds over time.

That's not just infrastructure. That's fundamentally different architecture.

In Web3 terms, one optimizes for velocity, the other for alignment with distributed intelligence. The choice shapes everything downstream.

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SeasonedInvestor

· 9h ago

Well said, decentralized AI really requires human participation to be effective; otherwise, it just becomes another big company's computational arms race.

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AirdropDreamer

· 9h ago

Exactly, the logic of decentralized AI is essentially about returning power to the participants, not to those big corporations holding the computing power. Human feedback loops are the key; no matter how powerful the machines are, it's all in vain.

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FantasyGuardian

· 9h ago

Oh, that sounds nice, but how many projects can actually achieve a human feedback closed-loop now? Most of them are just pie-in-the-sky.

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Lonely_Validator