#sxt $SXT AI is getting smarter, but can we trust the data it uses?
As AI starts analyzing assets and DeFi handles more financial activity, more and more decisions depend on data. But if something goes wrong with the data calculations, how can we tell?
@SpaceandTime recently caught my attention because it aims to solve exactly this problem.
Its Proof of SQL technology provides verifiable proofs of computation for database queries. Put simply, after an application gets a result, it doesn’t have to simply trust that “the answer is right”—it can also check whether the calculations followed the rules.
This matters in several areas:
🤖 AI: An additional layer of verification for the data behind its analysis makes the basis for decisions more transparent.
🏠 Tokenized assets: Helps on-chain applications connect to relevant data and makes the data query process easier to verify.
🏦 DeFi: Lending, liquidations, and other use cases rely on extensive historical records. Verifiable queries can provide a more reliable basis for risk analysis.
Of course, verifiable computation doesn’t mean AI will always make the right judgment, nor does it mean token prices will necessarily rise. The value of the technology and market performance should still be considered separately.
Still, I think that as AI and on-chain finance develop, **making data verifiable and traceable** will become an increasingly noteworthy direction.
#SXT $SXT @SpaceandTime
As AI starts analyzing assets and DeFi handles more financial activity, more and more decisions depend on data. But if something goes wrong with the data calculations, how can we tell?
@SpaceandTime recently caught my attention because it aims to solve exactly this problem.
Its Proof of SQL technology provides verifiable proofs of computation for database queries. Put simply, after an application gets a result, it doesn’t have to simply trust that “the answer is right”—it can also check whether the calculations followed the rules.
This matters in several areas:
🤖 AI: An additional layer of verification for the data behind its analysis makes the basis for decisions more transparent.
🏠 Tokenized assets: Helps on-chain applications connect to relevant data and makes the data query process easier to verify.
🏦 DeFi: Lending, liquidations, and other use cases rely on extensive historical records. Verifiable queries can provide a more reliable basis for risk analysis.
Of course, verifiable computation doesn’t mean AI will always make the right judgment, nor does it mean token prices will necessarily rise. The value of the technology and market performance should still be considered separately.
Still, I think that as AI and on-chain finance develop, **making data verifiable and traceable** will become an increasingly noteworthy direction.
#SXT $SXT @SpaceandTime
