$GENIUS The Plaza creators’ task rewards were paid out. I remember it was around 300 people. Now there are still 43 knives! No matter how small the mosquito is, it’s still meat. I don’t dare to complain 😂!
$OPG The event still has 2 days left. Keep building until the very end! In the past, when I used ChatGPT to write a weekly report, I was always on tenterhooks, afraid it would make up data out of thin air. Now things are different—AI has started handling money too: automatic investing advisory, loan approval, and medical diagnosis suggestions. Are the results correct? I don’t know. Has someone tampered with it? I also don’t know. Anyway, I guess I’ll just trust.
If this stuff is really used in serious places, who would dare?
Those people at OpenGradient obviously thought about this problem too. They came up with an architecture called HACA. The core idea is very simple: split “doing the work” from “checking the accounts.” Inference nodes run the model, using GPUs and TEE. The full node doesn’t rerun the model; it only needs to compare the accounting using a TEE proof or a ZKML proof.
For example, before, it was like a whole class of 40 people each redoing the same question and then checking the answers together. Now it’s one person finishing it, and the teacher can directly look at the solving process to see if there are shenanigans—saving a lot of computing power.
So how do they confirm on-chain that nothing was faked? They rely on the CometBFT consensus engine. As long as more than two-thirds of the verification nodes give a thumbs-up, the result is effectively “welded in.” No need to wait for any 6 12 confirmations—once the AI’s output is recorded on-chain, it can be used right away.
Of course, nodes can’t just work for free, and they also can’t mess around. If you want to be a verification node, you must put up $OPG as collateral. If you keep proper records and get rewarded—fine. If you dare to cheat or report false numbers, the collateral is gone immediately. The more OPG you stake, the more say you have. The economics are calculated clearly—no need to trust anyone; you just trust the incentives.
In the end, if AI is really used to approve loans, help look at medical cases, and manage other people’s money, then the “verifiability” of the results is everything. With the @OpenGradient foundation, at least it makes me feel that—later, what AI says can be checked. #OPG
$OPG The event still has 2 days left. Keep building until the very end! In the past, when I used ChatGPT to write a weekly report, I was always on tenterhooks, afraid it would make up data out of thin air. Now things are different—AI has started handling money too: automatic investing advisory, loan approval, and medical diagnosis suggestions. Are the results correct? I don’t know. Has someone tampered with it? I also don’t know. Anyway, I guess I’ll just trust.
If this stuff is really used in serious places, who would dare?
Those people at OpenGradient obviously thought about this problem too. They came up with an architecture called HACA. The core idea is very simple: split “doing the work” from “checking the accounts.” Inference nodes run the model, using GPUs and TEE. The full node doesn’t rerun the model; it only needs to compare the accounting using a TEE proof or a ZKML proof.
For example, before, it was like a whole class of 40 people each redoing the same question and then checking the answers together. Now it’s one person finishing it, and the teacher can directly look at the solving process to see if there are shenanigans—saving a lot of computing power.
So how do they confirm on-chain that nothing was faked? They rely on the CometBFT consensus engine. As long as more than two-thirds of the verification nodes give a thumbs-up, the result is effectively “welded in.” No need to wait for any 6 12 confirmations—once the AI’s output is recorded on-chain, it can be used right away.
Of course, nodes can’t just work for free, and they also can’t mess around. If you want to be a verification node, you must put up $OPG as collateral. If you keep proper records and get rewarded—fine. If you dare to cheat or report false numbers, the collateral is gone immediately. The more OPG you stake, the more say you have. The economics are calculated clearly—no need to trust anyone; you just trust the incentives.
In the end, if AI is really used to approve loans, help look at medical cases, and manage other people’s money, then the “verifiability” of the results is everything. With the @OpenGradient foundation, at least it makes me feel that—later, what AI says can be checked. #OPG