The integration of AI and cryptocurrency has recently been making frequent headlines. Data from Inference Labs strongly indicates this—over 302 million zkML proofs generated on-chain.
It may seem like just a number, but what does it truly represent? It's not just about scale. Zero-knowledge machine learning demonstrates what is feasible—enabling machine learning models to run on-chain while protecting privacy and verifying results. This is no small feat. From a technical perspective, it means zkML has moved from theory to large-scale practical application.
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WhaleWatcher
· 16h ago
300 million proofs sound impressive, but it feels like there haven't been many practical applications implemented yet.
The zkML theory is indeed fascinating—privacy + verification—but can it really produce anything valuable on-chain?
Maybe we've been overly hyped by the numbers; let's wait and see.
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nft_widow
· 01-08 11:53
300 million proofs, sounds impressive, but what really excites me is that this thing is finally no longer just talk on paper.
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If the zkML logic can really run smoothly, achieving both privacy and verification at the same time? It’s way better than these current projects that just cut the leeks.
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Wait, is this rapid growth in numbers due to genuine demand or just hype? We’ll see what real users have to say.
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Running ML models on-chain while protecting privacy sounds like a dream, but if it really works, Web3 will need to be reshuffled once again.
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If Inference Labs truly gets off the ground, it’s worth paying attention.
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The question is, are these proofs actually being used by anyone, or are they just creating transaction volume through tricks?
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GasGuru
· 01-08 11:47
Over 300 million proofs sound impressive, but what’s truly groundbreaking is the combination of privacy + verification. No hype, no negativity—this really changes the game.
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ProveMyZK
· 01-08 11:26
Over 300 million proofs? This is the real evolution of privacy protection, not the kind that just blows bubbles all day long.
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ser_ngmi
· 01-08 11:26
300 million proofs? Sounds impressive, but the real significance lies in the combination of privacy + verification. This is the true signal of zhML's takeoff.
The integration of AI and cryptocurrency has recently been making frequent headlines. Data from Inference Labs strongly indicates this—over 302 million zkML proofs generated on-chain.
It may seem like just a number, but what does it truly represent? It's not just about scale. Zero-knowledge machine learning demonstrates what is feasible—enabling machine learning models to run on-chain while protecting privacy and verifying results. This is no small feat. From a technical perspective, it means zkML has moved from theory to large-scale practical application.