Exploring the Intersection of AI, Blockchains, and Future Applications

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The chapter delves into discussions about the interests in different blockchains, Web2 companies like Snowflake, advancements in defense tech, and concerns about verifying AI models in blockchain. It highlights future developments for AI and blockchains, focusing on product market fit areas like combatting deep fakes and ensuring content authenticity. The conversation also explores the collaborative work between Space and Time, OpenAI, Microsoft Azure, and blockchain data, discussing the potential impact of on-chain AI agents in various sectors.

For this week’s episode, Jacquelyn interviewed Scott Dykstra, CTO and co-founder of Space and Time.

Before diving into web3, Scott spent almost 8 years at the cloud analytics and data platform Teradata and throughout the years he held roles of senior architect, director of cloud solutions and worked his way up to VP of the firm’s global cloud.

As for Space and Time, the company aims to be a verifiable compute layer for web3 that scales zero-knowledge proofs, or ZK proofs, on a decentralized data warehouse. Zero-knowledge proofs are a cryptographic action used to prove something about a piece of data, without revealing the origin data itself.

Space and Time has indexed data both off-chain and on-chain from Ethereum, Bitcoin, Polygon, Sui, Avalanche, Sei and Aptos and is adding support for more chains to power the future of AI x blockchain.

This episode is wrapping up Chain Reaction’s monthly series diving into different topics and themes in crypto. This month’s focused on blockchain and AI integrations.

Jacquelyn and Scott discuss Space and Time’s origin story, how data warehouses work in Web2.0 vs web3 and the importance of data transparency.

They also dive into:

Blockchain and AI potential
Its OpenAI and blockchain data developments
Future use cases for data and on-chain AI
Advice throughout the bull and bear markets

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