2026-01-11 15:22:01

In the intersection of zero-knowledge proofs and machine learning, what is the most promising approach? Let me share some practical insights.

AI models need to process massive amounts of data daily, but the key question is—how to prove that the model's computation results are accurate? This is exactly where many teams are competing.

One project using the DSperse framework offers a different approach. They didn't choose to generate a proof system for the entire AI model, but instead adopted a sliced verification method. In other words, they verify critical parts of data processing step by step, rather than packaging the entire process in a bulky proof. The benefits of this approach are obvious: higher verification efficiency and reduced system complexity.

This fine-grained verification scheme is indeed worth paying attention to for AI applications that require high trustworthiness.

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GateUser-0717ab66

· 13h ago

Slice verification—this approach is indeed clever, but the real implementation depends on how it's actually executed.

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ShitcoinConnoisseur

· 01-11 15:51

Slice-based verification is truly brilliant; compared to whole package verification, it's much smarter.

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ReverseTrendSister

· 01-11 15:50

The slicing verification approach is pretty good, saving bandwidth and computing power, but I don't know how the actual results will turn out.

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ContractFreelancer

· 01-11 15:48

The sliced verification approach is indeed refreshing, avoiding the old method of full packaging.

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PositionPhobia

· 01-11 15:42

After all the rolling, it's still the same approach. Slicing verification sounds good, but how difficult is it to actually implement? The DSperse framework's recent move really hit the mark. Compared to validating everything at once, it's much more reliable, and improving efficiency is a big plus. Another new idea combining ZK+AI, but it all depends on whether it can be truly put into use in the end. I appreciate this logic; fine-grained verification is always more meticulous than full-scale verification. But honestly, the key is whether it can really be made usable. Otherwise, even the most clever solution is pointless.

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SorryRugPulled