Babe, this weekend has been unpleasant, and I had no choice but to go out to clear my mind. I bought a roasted YAM, but the YAMs are all rolled up like this now, and they added mochi, fruit, and candied hawthorn. This one cost me 30 bucks. Did I get scammed?
However, I came across that @cysic_xyz and @NetworkNoya collaborated yesterday, and this collaboration mainly helps NOYA solve the problem of computing power not keeping up after zkML scaling. This way, NOYA's AI cross-chain liquidity management can run more smoothly.
Actually, NOYA originally wanted to create an AI assistant to help everyone manage their money in cross-chain DeFi. It can help find the most cost-effective returns while keeping the core data of the model hidden from others, which is why zkML technology was used.
But the larger the scale, the more difficult it becomes to prove that the results of the AI model are correct; it becomes more costly and slower, and when handling large volumes, it is also prone to getting stuck.
Cysic happens to be doing this, and they have specialized hardware acceleration technology. Whether it is custom chips or GPU solutions, they can specifically address the computational challenges of zk proofs.
Now that we have cooperated, NOYA no longer has to bear this heavy work alone; it can hand over the most resource-intensive proof process to the dedicated backend of Cysic to handle.
Previously, proving was expensive and time-consuming. Now the costs have come down, and the waiting time has also been shortened. It can handle a large number of cross-chain liquidity optimization tasks simultaneously.
Moreover, the most crucial point is that these improvements do not sacrifice privacy and decentralization; the confidentiality of the AI model remains intact, and the credibility of on-chain verification is not compromised.
In the future, if there are more reliable collaborations like this, the cross-chain services created by AI and DeFi will definitely become more and more useful, and the number of users will also increase. #cysic
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Babe, this weekend has been unpleasant, and I had no choice but to go out to clear my mind. I bought a roasted YAM, but the YAMs are all rolled up like this now, and they added mochi, fruit, and candied hawthorn. This one cost me 30 bucks. Did I get scammed?
However, I came across that @cysic_xyz and @NetworkNoya collaborated yesterday, and this collaboration mainly helps NOYA solve the problem of computing power not keeping up after zkML scaling. This way, NOYA's AI cross-chain liquidity management can run more smoothly.
Actually, NOYA originally wanted to create an AI assistant to help everyone manage their money in cross-chain DeFi. It can help find the most cost-effective returns while keeping the core data of the model hidden from others, which is why zkML technology was used.
But the larger the scale, the more difficult it becomes to prove that the results of the AI model are correct; it becomes more costly and slower, and when handling large volumes, it is also prone to getting stuck.
Cysic happens to be doing this, and they have specialized hardware acceleration technology. Whether it is custom chips or GPU solutions, they can specifically address the computational challenges of zk proofs.
Now that we have cooperated, NOYA no longer has to bear this heavy work alone; it can hand over the most resource-intensive proof process to the dedicated backend of Cysic to handle.
Previously, proving was expensive and time-consuming. Now the costs have come down, and the waiting time has also been shortened. It can handle a large number of cross-chain liquidity optimization tasks simultaneously.
Moreover, the most crucial point is that these improvements do not sacrifice privacy and decentralization; the confidentiality of the AI model remains intact, and the credibility of on-chain verification is not compromised.
In the future, if there are more reliable collaborations like this, the cross-chain services created by AI and DeFi will definitely become more and more useful, and the number of users will also increase.
#cysic