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The AI world needs more data transparency and web3 startup Space and Time says it can help | TechCrunch

Mar 29, 2024 - techcrunch.com
Scott Dykstra, CTO and co-founder of Space and Time, discussed the importance of data verification and the role of zero-knowledge proofs (ZK proofs) in ensuring data integrity on TechCrunch’s Chain Reaction podcast. He cited the example of the now-defunct crypto exchange FTX, which manipulated its books and misled investors, highlighting the need for verification in financial institutions and other industries. Dykstra believes ZK proofs, which confirm the truth of a statement without revealing the original data, can be used to verify and retrieve data whenever there's an incentive for manipulation.

Space and Time aims to be a verifiable computing layer for web3 by indexing data both off-chain and on-chain. The startup has indexed from major blockchains like Ethereum, Bitcoin, Polygon, Sui, Avalanche, Sei, and Aptos and is adding more chains to power the future of AI and blockchain technology. Dykstra expressed concern about the verifiability of AI data and emphasized the need for a decentralized, globally available database created through blockchains. He also stressed that such a database should be community-owned and operated, readily available, and uncensorable.

Key takeaways:

  • Scott Dykstra, CTO and co-founder of Space and Time, emphasizes the need for data and brand verification in the era of AI and internet manipulation.
  • Dykstra suggests the use of zero-knowledge proofs (ZK proofs) as a solution to data manipulation, which can verify information without revealing its origin.
  • Space and Time aims to be a verifiable computing layer for web3 by indexing data both off-chain and on-chain, and has already indexed from major blockchains like Ethereum, Bitcoin, Polygon, Sui, Avalanche, Sei and Aptos.
  • Dykstra expresses concern over the verifiability of AI data and suggests the need for a decentralized, globally available database that can be created through blockchains.
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