#sxt $SXT @SpaceandTime I've recently been looking at quite a few AI- and Web3-related projects, and noticed something interesting:
Everyone is talking about AI agents, RWA, and DeFi, but very few people are seriously discussing the data issues behind these applications.
If you think about it, all of these fields depend on data.
AI needs data for training and analysis, DeFi needs data to calculate funds and risks, and RWA needs data to prove the value and status of real-world assets.
So here's the question: if the data itself can't be verified, how can we trust the final results?
Space and Time is trying to solve this problem.
It aims to build verifiable data infrastructure that allows AI, tokenized assets, and DeFi applications to use trustworthy data.
Its Proof of SQL technology is worth mentioning here.
Traditional databases typically return results directly after a query. Proof of SQL goes a step further by providing cryptographic proofs for query results, allowing third parties to verify whether the computation was correct.
This means data is no longer simply read—it can also prove the reliability of computational results.
I'm particularly interested in its potential in real-world applications.
For example, in the future, AI agents may autonomously carry out on-chain tasks that require them to read and analyze large amounts of data; DeFi protocols may need to process complex on-chain metrics; and RWA projects may need to continuously verify asset-related information.
All of these use cases may need infrastructure like Space and Time.
I've always felt that for Web3 to truly mature, it can't rely solely on an increasing number of applications; the underlying technology also needs to keep improving.
From this perspective, what Space and Time is doing may not be especially flashy, but it addresses a very practical problem.
Rather than chasing short-term hype, I'd rather pay attention to projects with a clear technical direction and long-term use cases.
I'll continue to follow the development of its ecosystem.
@SpaceandTime
Everyone is talking about AI agents, RWA, and DeFi, but very few people are seriously discussing the data issues behind these applications.
If you think about it, all of these fields depend on data.
AI needs data for training and analysis, DeFi needs data to calculate funds and risks, and RWA needs data to prove the value and status of real-world assets.
So here's the question: if the data itself can't be verified, how can we trust the final results?
Space and Time is trying to solve this problem.
It aims to build verifiable data infrastructure that allows AI, tokenized assets, and DeFi applications to use trustworthy data.
Its Proof of SQL technology is worth mentioning here.
Traditional databases typically return results directly after a query. Proof of SQL goes a step further by providing cryptographic proofs for query results, allowing third parties to verify whether the computation was correct.
This means data is no longer simply read—it can also prove the reliability of computational results.
I'm particularly interested in its potential in real-world applications.
For example, in the future, AI agents may autonomously carry out on-chain tasks that require them to read and analyze large amounts of data; DeFi protocols may need to process complex on-chain metrics; and RWA projects may need to continuously verify asset-related information.
All of these use cases may need infrastructure like Space and Time.
I've always felt that for Web3 to truly mature, it can't rely solely on an increasing number of applications; the underlying technology also needs to keep improving.
From this perspective, what Space and Time is doing may not be especially flashy, but it addresses a very practical problem.
Rather than chasing short-term hype, I'd rather pay attention to projects with a clear technical direction and long-term use cases.
I'll continue to follow the development of its ecosystem.
@SpaceandTime