How does Space and Time enable SQL execution on both on-chain and off-chain data while cryptographically guaranteeing the results?

zkSync’s Deep-Dive series aims at shedding light on projects building on zkSync and to learn from the minds behind them.

Join us as we speak with Scott, Co-Founder and CTO at Space and Time (SxT). In a nutshell, SxT is the first decentralized data warehouse that supports verifiable SQL execution against both on-chain and off-chain data.

Tune in to learn about AI agents on-chain, the imminent launch of their ZK Chain on zkSync, SxT Studio, and much more. Enjoy!

Link to SxT’s Twitter page
👉🏻 https://twitter.com/SpaceandTimeDB

Link to SxT’s website
👉🏻 https://www.spaceandtime.io/

Link to zkSync’s Twitter page
👉🏻 https://twitter.com/zksync

Link to zkSync’s website
👉🏻 https://zksync.io/

Episode Breakdown

01:30 - What was your background prior to founding SxT and how did SxT come to be?

04:30 - How were you able to get SxT off the ground during Covid?

07:00 - Would you be able to provide a quick primer on blockchain indexing and elaborate on how it works, why it’s important, and characteristics of indexed data?

09:00 - Would you be able to elaborate on the thought-process that went into the design of SxT Studio?

12:00 - What kind of off-chain data are users uploading on SxT and what are some use cases that projects are leveraging SxT for?

14:30 - Why do you think that AI agents will appear on-chain first and what kind of agents do you foresee coming up?

17:00 - Given the probable prominence of AI agents operating on-chain, how will we be able to keep them in check?

21:00 - To what extent can AI models actually run on-chain?  Minting them might be a step forward on attribution, but how can we make running and using them on-chain happen?

26:00 - Assume a scenario where every piece of information has an onchain market value, how might those values positively or negatively impact the training quality of LLMs?

30:00 - Why did you decide to build on zkSync and, more specifically, to deploy your own ZK Chain?

32:00 - How will a web of ZK Chains built on zkSync look like in the future and what role will SxT play?

35:00 - Was the alignment of values a key factor in deciding to partner with the Matter Labs team?

38:00 - In terms of what next, what can users expect the SxT team to ship this year?

40:00 - What is your prediction for the next major development at the intersection of AI and blockchain?

41:30 - Is there a call to action that you’d like to leave the listeners with?