2026-01-10 08:23:18

Seeing Inference Labs' recent technological advancements, I want to share my understanding of the practical applications of zkML.

Many people pursue complete model verification, but this approach is actually unfeasible—verification costs are too high, speed is too slow, and scaling is simply impossible. What is the truly feasible direction? Smartly proving only the critical parts.

What is the specific approach? Modular design combined with distributed proofs. Break down computations into multiple independent modules, each generating proofs, and then verify them in parallel through a distributed network. This approach ensures security while significantly reducing the computational burden on any single point.

From theory to practical implementation, this is the real breakthrough zkML needs. Compared to the ideal state of full verification, pragmatic solutions are often more effective in driving industry progress.

View Original

This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.

17 Likes

Reward
17
7
Repost
Share

Comment

0/400

ETHReserveBank

· 3h ago

Ha, it's another moment where the "full verification dream" is shattered... To be honest, I saw it coming a long time ago; that path simply doesn't work. The idea of distributed modularization is indeed reliable, but the execution is still very challenging. Finally, someone dares to talk about pragmatism; this is how product development should be approached. Modular splitting sounds simple, but how do we ensure consistency between modules? Is this another pitfall? Inference Labs is quite interesting; it feels like the right direction. So ultimately, it's about balancing—safety, efficiency, and scalability—the triangle can never be fully optimized. This approach is definitely much better than those theoretical plans.

View OriginalReply0

faded_wojak.eth

· 01-12 01:04

To be honest, fully verifying this path is a false proposition with prohibitively high costs. Distributed modularization is much more reliable, and it seems that Inference Labs has figured out the way.

View OriginalReply0

FloorPriceNightmare

· 01-10 08:51

Haha, finally someone is speaking the truth. The complete verification method is indeed just theoretical. I believe in the path of modular distributed systems; it's just a matter of when the cost issues will truly be addressed. But to be honest, there are so many projects being hyped up now. Inference Labs, I hope this time it's not just another PPT proposal.

View OriginalReply0

FreeMinter

· 01-10 08:50

Haha, now that's the real talk. The whole verification approach should have been thrown into the trash long ago. I believe in the modular distributed approach; it's just a matter of how to ensure there are no vulnerabilities between modules. Pragmatism can definitely go further, but has the Inference Labs solution really been implemented successfully? It still feels a bit虚, let's wait until we see more solid data before commenting. The theory behind modularity is fine in principle; the key is in execution.

View OriginalReply0

WalletWhisperer

· 01-10 08:49

nah the modular proof thing is just... inevitable really. been watching the transaction velocity patterns on these zkml contracts and honestly? the data's been screaming this for months. full verification was always going to be a dead end from a statistical standpoint

Reply0

PoolJumper

· 01-10 08:44

The complete verification approach is indeed a dead end; I've seen through it long ago. Distributed proof is the right path, but very few projects that can truly be implemented actually exist. --- Well said, there's a huge gap between theory and practice. Many so-called revolutionary ideas have all fizzled out, but Inference actually has some substance this time. --- Yeah, I support the combination of modular + distributed parallel verification. Just don't know what performance level it can reach; we'll see when the data comes out. --- Stop talking so much, the key is how much the cost can be reduced. If they can really cut gas fees in half, I’ll believe it. --- Haha, finally someone is telling the truth. The utopian idea of complete verification should be shattered. A practical approach is what truly matters.

View OriginalReply0

MEVVictimAlliance

· 01-10 08:39

Haha, someone finally said it. The complete verification approach is just a false proposition; you'll end up burning through gas and going bankrupt. The idea of modular distributed systems sounds good, feels a bit like sharding? Anyway, it's definitely better than pure theory. By the way, can Inference Labs actually reduce costs, or is it just another round of hype? Practicality is the key, I agree. Right now, this circle is obsessed with perfection, but as a result, nothing can get on the chain. It seems like zkML might finally have a breakthrough.

View OriginalReply0