#美国PPI年率6.5%，低于预期或缓解BTC压力
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路人1688luren
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#sxt $SXT @SpaceandTime #sxt $SXT @SpaceandTime
Space and Time Enterprise Launches:
In the AI Era, What’s Truly Scarce Isn’t Computing Power—it’s “Verifiability”
On November 9, Space and Time launched its enterprise-grade platform, Space and Time Enterprise. Its first partners include Maple Finance, Indomobil, Trenez, and The Data Foundation. This news carries far more weight in tech circles than its visibility on market-tracking apps might suggest.
I. The problem it solves
Companies want AI agents to handle business workflows, but they’re not willing to hand over their raw databases. SXT Enterprise’s approach is to keep the data on the company’s own servers and share only “the computation result + a cryptographic proof.” Auditors, counterparties, and AI applications can verify whether the result was calculated correctly without seeing the underlying records. Record.
II. Under the hood: Proof of SQL
This is SxT’s patented technology. It’s like attaching a “receipt” to every SQL query to prove that the query was executed correctly on a specified dataset. The technology is already integrated with Google Cloud BigQuery. The enterprise edition can run directly on ordinary servers; it requires no blockchain operation, dedicated GPU, or external proving service.
III. How it relates to SXT
SXT Enterprise is designed for private environments, while SXT Chain is for on-chain use, providing verifiable data for DeFi, tokenized assets, and stablecoins. When an enterprise application needs to connect to on-chain markets, the related workloads will be settled on the SXT network. In other words, the enterprise side handles integration, while the on-chain side handles settlement.
IV. Three easily overlooked caveats
1) Proof of SQL proves that a “computation is correct”; it does not prove that the “underlying data is true.” If the data was entered incorrectly, the proof will still pass.
2) The enterprise edition does not require the use of an on-chain network, so in the short term, the number of enterprise customers cannot be equated directly with demand for SXT.
3) Competition in this sector is intensifying. ZK proofs, oracles, and data availability layers are all moving toward “verifiable data.”
Space and Time Enterprise Launches:
In the AI Era, What’s Truly Scarce Isn’t Computing Power—it’s “Verifiability”
On November 9, Space and Time launched its enterprise-grade platform, Space and Time Enterprise. Its first partners include Maple Finance, Indomobil, Trenez, and The Data Foundation. This news carries far more weight in tech circles than its visibility on market-tracking apps might suggest.
I. The problem it solves
Companies want AI agents to handle business workflows, but they’re not willing to hand over their raw databases. SXT Enterprise’s approach is to keep the data on the company’s own servers and share only “the computation result + a cryptographic proof.” Auditors, counterparties, and AI applications can verify whether the result was calculated correctly without seeing the underlying records. Record.
II. Under the hood: Proof of SQL
This is SxT’s patented technology. It’s like attaching a “receipt” to every SQL query to prove that the query was executed correctly on a specified dataset. The technology is already integrated with Google Cloud BigQuery. The enterprise edition can run directly on ordinary servers; it requires no blockchain operation, dedicated GPU, or external proving service.
III. How it relates to SXT
SXT Enterprise is designed for private environments, while SXT Chain is for on-chain use, providing verifiable data for DeFi, tokenized assets, and stablecoins. When an enterprise application needs to connect to on-chain markets, the related workloads will be settled on the SXT network. In other words, the enterprise side handles integration, while the on-chain side handles settlement.
IV. Three easily overlooked caveats
1) Proof of SQL proves that a “computation is correct”; it does not prove that the “underlying data is true.” If the data was entered incorrectly, the proof will still pass.
2) The enterprise edition does not require the use of an on-chain network, so in the short term, the number of enterprise customers cannot be equated directly with demand for SXT.
3) Competition in this sector is intensifying. ZK proofs, oracles, and data availability layers are all moving toward “verifiable data.”