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Year-end reflections hit different as 2025 winds down. Can't help noticing how quickly AI layers reshaped everything—the pace was relentless.
But here's what caught my attention: zero-knowledge proofs like zk-snarks are quietly solving the privacy puzzle in ML inference. Think about it—you can verify computational outputs without exposing the underlying logic. That's powerful. Succinct proofs mean efficient validation on-chain, which changes the game for privacy-preserving machine learning. The architecture elegantly stacks privacy and verification.
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Just another useless innovation. Privacy-preserving sounds impressive.
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Let's do a small experiment—on-chain verification costs enough gas to bankrupt me. Now I’ve got it figured out.
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Luban No.7 is under construction again. Stacking privacy and verification to change the game? Let me try this smart trap first.
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AI has been going crazy this year, that's true. But what real problems can zk solutions solve? Still mostly academic value MAX.