2025-12-28 16:26:11

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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FancyResearchLab

· 10h ago

Again, zk-snarks are hyped as black technology. Theoretically, it should be feasible, but practical value is MIN. --- Just another useless innovation. Privacy-preserving sounds impressive. --- Let's do a small experiment—on-chain verification costs enough gas to bankrupt me. Now I’ve got it figured out. --- Luban No.7 is under construction again. Stacking privacy and verification to change the game? Let me try this smart trap first. --- AI has been going crazy this year, that's true. But what real problems can zk solutions solve? Still mostly academic value MAX.

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