“Space and Time claims it can provide more data transparency to the AI world”

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– Scott Dykstra emphasizes the need for data and brands to be verifiable in the age of AI and internet manipulation
– Dykstra suggests using zero-knowledge proofs (ZK proofs) to verify data without revealing sensitive information
– Space and Time aims to be a verifiable computing layer for web3, indexing data from major blockchains and working to address verifiability concerns in AI data.

As AI technology becomes more prevalent and data manipulation on the internet becomes easier, Scott Dykstra, CTO and co-founder of Space and Time, emphasized the importance of ensuring data and brands are verifiable. He highlighted the case of the now-defunct crypto exchange FTX, which manipulated its books and misled investors.

Dykstra believes that the best solution to combat data manipulation is through verification of data and zero-knowledge proofs (ZK proofs), which allow information to be proven without revealing the original data. Space and Time aims to be a verifiable computing layer for web3 by indexing data from various blockchains and expanding into other industries.

One of Dykstra’s main concerns is the lack of verifiability in AI data. While teams are working on creating ZK proofs for machine learning models, the complexity of the process means that models could still be tampered with. Dykstra advocates for a decentralized and globally accessible database created through blockchain technology to ensure transparency and prevent censorship.

In a hypothetical scenario, Dykstra explained the need for community-owned databases rather than centralized entities like OpenAI to prevent manipulation and ensure availability. He believes that decentralized on-chain databases are crucial for preserving the integrity of data and preventing censorship. Dykstra’s insights were shared on TechCrunch’s Chain Reaction podcast, which features stories and tips from innovative entrepreneurs.

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