U.S. Senator Warren: Jensen Huang’s resignation does not absolve him. Huang and NVIDIA still owe Congress an explanation.
Congress must pass AI regulation legislation. Huang’s departure was not a planned retreat; he was forced out. AI is destined to create the next giant. Space and Time Enterprise uses private data in AI and finance while avoiding the disclosure of sensitive records—it is an institutional-grade solution. #sxt @SpaceandTime
People are increasingly using AI and smart contracts to generate seemingly sophisticated financial decisions, risk scores, and asset allocations, but the recipients have almost no way to verify the data these decisions rely on. AI agents can read an on-chain report in seconds, and DeFi protocols can automatically execute a collateralized loan. But if the underlying data is tampered with or falsified at any point, all those polished downstream outputs are just window dressing.
AI and DeFi are expected to “trust” data, yet no one can prove that the data itself deserves to be trusted. Space and Time is trying to solve precisely this problem, but its approach merits close examination. Its core technology, Proof of SQL, claims to generate zero-knowledge proofs for SQL queries involving hundreds of thousands of rows in under a second, allowing smart contracts to verify the correctness of computational results without trusting database operators. It currently indexes seven blockchains, including Ethereum, Bitcoin, ZKsync, Polygon, Sui, and Avalanche. GPU-accelerated provers support this throughput.
DefiLlama reports that SXT Chain generated approximately $7,893 in protocol fees over the past 30 days, all from verifiable computation queries and transfer fees—not narrative-driven fake trading volume. The company has raised a total of $50 million, with Microsoft’s M12 leading its 2022 strategic round. Grayscale launched a single-asset SXT trust in June 2025, and Chainlink’s Confidential HTTP was integrated into Virtual Vaults, enabling institutional lenders to verify collateral without accessing borrowers’ raw holdings.
DYOR!
Congress must pass AI regulation legislation. Huang’s departure was not a planned retreat; he was forced out. AI is destined to create the next giant. Space and Time Enterprise uses private data in AI and finance while avoiding the disclosure of sensitive records—it is an institutional-grade solution. #sxt @SpaceandTime
People are increasingly using AI and smart contracts to generate seemingly sophisticated financial decisions, risk scores, and asset allocations, but the recipients have almost no way to verify the data these decisions rely on. AI agents can read an on-chain report in seconds, and DeFi protocols can automatically execute a collateralized loan. But if the underlying data is tampered with or falsified at any point, all those polished downstream outputs are just window dressing.
AI and DeFi are expected to “trust” data, yet no one can prove that the data itself deserves to be trusted. Space and Time is trying to solve precisely this problem, but its approach merits close examination. Its core technology, Proof of SQL, claims to generate zero-knowledge proofs for SQL queries involving hundreds of thousands of rows in under a second, allowing smart contracts to verify the correctness of computational results without trusting database operators. It currently indexes seven blockchains, including Ethereum, Bitcoin, ZKsync, Polygon, Sui, and Avalanche. GPU-accelerated provers support this throughput.
DefiLlama reports that SXT Chain generated approximately $7,893 in protocol fees over the past 30 days, all from verifiable computation queries and transfer fees—not narrative-driven fake trading volume. The company has raised a total of $50 million, with Microsoft’s M12 leading its 2022 strategic round. Grayscale launched a single-asset SXT trust in June 2025, and Chainlink’s Confidential HTTP was integrated into Virtual Vaults, enabling institutional lenders to verify collateral without accessing borrowers’ raw holdings.
DYOR!
