There are constantly new tokens, DeFi projects, NFTs collections and DAOs being launched – but how can you make sense of everything going on in the crypto space? From the hype to the scams, TechCrunch senior crypto reporter Jacquelyn Melinek explores the impact of crypto on finance, art, web3, and society as a whole. Whether you’re a fan or a skeptic, every Thursday, Jacquelyn chats with a crypto expert, learning alongside you to break down the nuance behind the wild world of crypto. Chain Reaction is produced by Maggie Stamets with editing by Kell Keller.
Subscribe to the Chain Reaction newsletter to dive deeper: https://techcrunch.com/newsletters
Publisher
TechCrunch, Yashad Kulkarni, Maggie Stamets, Kell Keller, Jacquelyn Melinek
Space and Time wants to help LLMs and AI agents get on-chain (w/ Scott Dykstra)
For this week’s episode, Jacquelyn (https://twitter.com/jacqmelinek) 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
Chain Reaction comes out every Thursday at 12:00 p.m. ET, so be sure to subscribe to us on Apple Podcasts, (https://podcasts.apple.com/us/podcast/chain-reaction/id1616008890) Spotify (https://open.spotify.com/show/6dC9jw0YyPqnul5P3CECoN) or your favorite pod platform to keep up with the action.
21 Mar 2024TRANSCRIPT
Whoever rules the data rules the world (w/ Tegan Kline)
For this week’s episode, Jacquelyn (https://twitter.com/jacqmelinek) interviewed Tegan Kline, the CEO and co-founder of Edge & Node.
The company is focused on creating and supporting decentralized applications, or dApps, and protocols. It was also the initial team behind The Graph, an indexing and query protocol, or what some have referred to as the Google of Web3, which aims to organize open blockchain data and make open data a public good.
Tegan began her career in investment banking before shifting to work as an executive VP of a patent marketplace powered by blockchain and analyzed by AI. This kickstarted her career in web3, data and AI solutions. Before co-founding Edge & Node, Tegan worked as an international business development manager for Orchid, an a16z and Sequoia VC-backed VPN.
This episode is a part of Chain Reaction’s monthly series diving into different topics and themes in crypto. This month’s focused on blockchain and AI integrations.
Jacquelyn and Tegan talk about The Graph network, indexing data and its broader use case for the internet as well as its “New Era roadmap” that came out in November 2023.
They also discuss:
The Graph implementing AI solutions
What dApps will unlock in the long term for AI
Why AI doesn’t care about crypto
Taking a career jump into web3
Chain Reaction comes out every Thursday at 12:00 p.m. ET, so be sure to subscribe to us on Apple Podcasts, (https://podcasts.apple.com/us/podcast/chain-reaction/id1616008890) Spotify (https://open.spotify.com/show/6dC9jw0YyPqnul5P3CECoN) or your favorite pod platform to keep up with the action.
14 Mar 2024TRANSCRIPT
Blockchain tech is working to combat AI-based deepfakes (w/ Melody Hildebrandt and Mike Blank)
For this week’s episode, Jacquelyn (https://twitter.com/jacqmelinek) interviewed Melody Hildebrandt, CTO of Fox Corporation and Mike Blank, COO at Polygon Labs.
Why these two companies? Well, Polygon Labs, the layer-2 blockchain focused on scaling Ethereum, and Fox Corporation, the well-known media conglomerate, joined forces in January to tackle deepfakes as artificial intelligence becomes more prevalent.
Fox released Verify, an open source technical protocol for media companies to register content and grant usage rights to AI platforms, while also allowing consumers to verify content through Polygon’s tech.
This episode is a part of Chain Reaction’s monthly series diving into different topics and themes in crypto. This month we’re focusing on blockchain and AI integrations.
They discuss:
The Fox and Polygon partnership
Protecting content from misuse
What role blockchain technology can play with verifying news
How deepfakes can affect the U.S. 2024 election
(0:00) Introduction
(1:58) Safeguards against AI-created content
(3:33) Blockchain could protect content creators
(9:13) Improving AI trust and transparency
(12:42) Validating and protecting intellectual property
(16:03) Verifying content authenticity on the blockchain
(25:21) Combatting misinformation
(31:25) How blockchain could help larg companies verify their content
Chain Reaction comes out every Thursday at 12:00 p.m. ET, so be sure to subscribe to us on Apple Podcasts, (https://podcasts.apple.com/us/podcast/chain-reaction/id1616008890) Spotify (https://open.spotify.com/show/6dC9jw0YyPqnul5P3CECoN) or your favorite pod platform to keep up with the action.
Inside a recent episode
Whoever rules the data rules the world (w/ Tegan Kline)
Published 21 Mar 2024 · Transcript excerpt
[…] And so with Web 3, we're trying to realize that decentralized internet and kind of give power back to the users. So one analogy that people like to use is kind of what Google does for the Web, the Graph does for Web 3 and Blockchains and organizing that data and making it really easy to access. Right. […]
Pod Engine is an independent podcast discovery and analytics service and is not affiliated with or endorsed by this podcast. Artwork and show content belong to their owners. Full legal notice.
Explore this show Podcast research with Pod Engine