2026-01-09 07:23:34

Currently, there is a fundamental problem with AI inference models: you get the answer, but you can't verify whether the result was genuinely produced according to your specified model and data. It's like a black box—you have to trust whatever comes out.

This is the core issue that projects like @inference_labs truly aim to solve—not making AI more user-friendly, but making AI outputs verifiable and trustworthy.

Writing a copy or generating some creative content, a black box is a black box, and it's no big deal anyway. But when it involves on-chain settlement, DAO governance voting, or allowing AI to participate in important decisions? At this point, credibility is not an option but a matter of life and death. You need irrefutable proof that this result was indeed generated based on transparent computational logic and genuine input data. Otherwise, the foundation of the entire on-chain application is just sand.

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GasFeeGazer

· 01-11 18:07

The black box AI indeed needs regulation; matters involving real money can't be guessed blindly. --- This should have been exposed long ago; trust cannot be built on "I say so, it is so." --- On-chain decision-making with black box models? Ha, that's just stacking code on a gambler's table. --- Verifiability is indeed a weak point in Web3, but fortunately, some are starting to take it seriously. --- Transparency in reasoning—this is the only way for AI to survive on the chain. --- Rather than boasting about how smart AI is, it's better to prove it doesn't deceive. The logic is so simple. --- Things like liquidation and voting—one calculation error and all is lost; they must be verifiable. --- The problem with black box models has long been not a technical issue but a trust architecture issue. --- In simple terms, it’s about making every step of AI traceable and every conclusion verifiable—that's true decentralization. --- No one cared when AI-generated content was just for fun, but now, involving DAO governance, every calculation step must be precise, and the difference is huge.

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SmartContractDiver

· 01-10 01:02

Black Box AI is indeed a bomb, and on-chain applications should not be complacent.

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FlashLoanLarry

· 01-09 18:38

Black box AI, once it goes on the chain, is bound to fail—that's the real problem.

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ForkMaster

· 01-09 07:53

That's right, Black Box AI will eventually crash. I've invested all my three kids' tuition fees into this track.

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GasFeeCry

· 01-09 07:53

That's the real issue—black-box AI can't be used effectively in financial scenarios.

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PensionDestroyer

· 01-09 07:52

Black box AI should have been regulated long ago; on-chain decision-making is really not something to be played with.

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BoredStaker

· 01-09 07:47

Black box AI is really a ticking time bomb; on-chain applications can't play by these rules.

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DataBartender

· 01-09 07:38

This is the hurdle that Web3 must overcome to mature. AI decisions without verifiability on the chain are a ticking time bomb.

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governance_ghost

· 01-09 07:25

The Black Box AI should have been regulated long ago. Who knows what it's really up to behind the scenes? On-chain decision-making must be transparent with verifiable proof chains before we dare to use it. This guy is right—if you can't verify it, there's no guarantee. DAO voting still relies on AI, which is pretty unsettling... unless we can trace the entire computation process. Once credibility is lost, everything that follows is just a trap.

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