Last night I flipped through OpenGradient’s documentation until 1 a.m. The moment I saw the words “asynchronous validation,” my reflexes kicked in—I hit Ctrl+F and typed “validation failed.”
0 results.
I also tried “failure,” “settlement,” and “rollback.” None of them worked.
HACA’s design is actually pretty smart. Traditional blockchains require every validator to re-run every transaction, and AI inference is expensive and non-deterministic—so it can’t realistically be run. OpenGradient’s solution is to split execution from verification: inference nodes run the model and return results in milliseconds; full nodes then asynchronously verify TEE proofs. The verification nodes don’t need to know what the prompt is or what the model is—they only need to confirm the code in the enclave hasn’t been tampered with.
The problem lies exactly here. The official docs state clearly that the TEE proof verifies “the enclave was not tampered with,” not whether the result itself is correct. The inference node can still “correctly” run the model inside the TEE, return an error result—and the proof will pass anyway. The documentation admits there’s a “temporary trust gap,” but it never says how that gap will be addressed. $OPG
Gate Academy has an article mentioning “validation failed, the result will be rejected or recomputed.” Who pays for the recomputation? And how do already-executed transactions get rolled back? The official docs don’t even leave a TODO
Take DeFi: when validation fails, there are defaults like liquidation and penalties. Take optimistic rollups: you’ve got a challenge period and fraud proofs. OpenGradient treats “output first, verify later” as the selling point—so who cleans up the mess? From what I can tell, it’s the users who are stuck with it. #OPG
The architecture direction isn’t wrong. But before the full economic model of the mainnet is completely published, and before the handling mechanism for validation failures is written into the documentation, I need to settle these numbers first. @OpenGradient
0 results.
I also tried “failure,” “settlement,” and “rollback.” None of them worked.
HACA’s design is actually pretty smart. Traditional blockchains require every validator to re-run every transaction, and AI inference is expensive and non-deterministic—so it can’t realistically be run. OpenGradient’s solution is to split execution from verification: inference nodes run the model and return results in milliseconds; full nodes then asynchronously verify TEE proofs. The verification nodes don’t need to know what the prompt is or what the model is—they only need to confirm the code in the enclave hasn’t been tampered with.
The problem lies exactly here. The official docs state clearly that the TEE proof verifies “the enclave was not tampered with,” not whether the result itself is correct. The inference node can still “correctly” run the model inside the TEE, return an error result—and the proof will pass anyway. The documentation admits there’s a “temporary trust gap,” but it never says how that gap will be addressed. $OPG
Gate Academy has an article mentioning “validation failed, the result will be rejected or recomputed.” Who pays for the recomputation? And how do already-executed transactions get rolled back? The official docs don’t even leave a TODO
Take DeFi: when validation fails, there are defaults like liquidation and penalties. Take optimistic rollups: you’ve got a challenge period and fraud proofs. OpenGradient treats “output first, verify later” as the selling point—so who cleans up the mess? From what I can tell, it’s the users who are stuck with it. #OPG
The architecture direction isn’t wrong. But before the full economic model of the mainnet is completely published, and before the handling mechanism for validation failures is written into the documentation, I need to settle these numbers first. @OpenGradient