I had collect some synopsis on $OPG There is a specific detail in hOw OpenGradient implements 0 Knowledge Machine Learning verification that m0st coverage of the project misses entirely.It sits inside the verification spectrum section and changes what cryptographic proof' actually means in practice
ZKML provides a mathematical proof that a specific model produced a specific output for a given input without revealing model weights Or input data to validators. full nodes verify the proof using purely cryptographic operations.no model reexecution required.the proof mathematically demonstrates correct execution.
the overhead figure is the part most coverage skips: 1000x To 10000x slower than standard execution.
not a minor performance cost.
a model that normally takes one second to run takes between sixteen minutes and 2.7 hours under ZKML verification.
This isnt a bug. its a fundamental tradeoff in current 0 knowledge proof systems. tHe mathematical certainty comes at the cost of computational time. OpenGradient acknowledges this directly in the whitepaper ZKML is currently recommended only for high stakes smaller ML models where cryptographic certainty justifies the overhead. DeFi risk models. financial decisions.....not general purpose inference.
the 1000-10000x overhead means ZKML cannot currently scale 2 large language models. the whitepaper notes this is a limitation of cUrrent ZK techNology that will improve as proof systems mature.but "will improve has no timeline attached to it in the seperate documEntation.
ZKML compilation efficiency improvements,which proof systems OpenGradient adopts as ZK technology matures
whether the overhead gap narrows enough to make LLM scale ZKML practical within a releivant timeframe
What the documentation doesnt clarify is whether the 1000-10000x overhead figure applies to the proof generation step 0nly or includes verification time on full nodes as well because those are seperate computational costs with different recieve implications. if you have $OPG ur trade or hold? and then sell????.