If AI can automatically execute on-chain transactions, who should verify the data and calculations it relies on?
This is one reason I’m interested in Space and Time. AI, asset tokenization, and DeFi may seem like three separate directions, but they share a common need: the results of computations using data must be verifiable.
Space and Time’s Proof of SQL can generate cryptographic proofs for supported data queries and computations. After receiving the results, an application can verify that the computation was correctly performed on the data.
This brings to mind farming airdrops for new projects and participating in DeFi reward campaigns. Those who have tried airdrop farming are probably familiar with this: you interact with a project, but whether you ultimately receive a reward is mostly up to the project team. If the team could use Space and Time to verify everyone’s contributions, trading volume, and so on, and generate proofs that let everyone check whether their own data matches the results, people wouldn’t complain so much about “insider dealings,” and they would certainly have more trust in the project.
The same goes for AI. An agent analyzing protocol activity first needs to read historical data. For example, if it can verify query results for fee records over a certain period, it will have a clearer basis for further analysis.
So, as I understand it, Space and Time is adding data verification to AI, asset tokenization, and DeFi. It may not sound particularly glamorous, but it is solving a very practical, real-world problem.
$SXT is also directly related to this role within the network: it pays network verification fees and supports validator security through staking. To understand its function, we can start with how data is stored, queried, and verified.
@Space and Time #SXT
This is one reason I’m interested in Space and Time. AI, asset tokenization, and DeFi may seem like three separate directions, but they share a common need: the results of computations using data must be verifiable.
Space and Time’s Proof of SQL can generate cryptographic proofs for supported data queries and computations. After receiving the results, an application can verify that the computation was correctly performed on the data.
This brings to mind farming airdrops for new projects and participating in DeFi reward campaigns. Those who have tried airdrop farming are probably familiar with this: you interact with a project, but whether you ultimately receive a reward is mostly up to the project team. If the team could use Space and Time to verify everyone’s contributions, trading volume, and so on, and generate proofs that let everyone check whether their own data matches the results, people wouldn’t complain so much about “insider dealings,” and they would certainly have more trust in the project.
The same goes for AI. An agent analyzing protocol activity first needs to read historical data. For example, if it can verify query results for fee records over a certain period, it will have a clearer basis for further analysis.
So, as I understand it, Space and Time is adding data verification to AI, asset tokenization, and DeFi. It may not sound particularly glamorous, but it is solving a very practical, real-world problem.
$SXT is also directly related to this role within the network: it pays network verification fees and supports validator security through staking. To understand its function, we can start with how data is stored, queried, and verified.
@Space and Time #SXT