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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.
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.
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.
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.
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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.
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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.
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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.
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Haha, finally someone is telling the truth. The utopian idea of complete verification should be shattered. A practical approach is what truly matters.
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.