Building Artificial Intelligence we can trust using ZK Proofs, with EZKL CEO Jason Morton

Lex chats with Jason Morton, CEO of EZKL - EZKL is a technology that helps people build around artificial intelligence using zero-knowledge proofs (ZK proofs) and the latest in technology. Jason explains that ZK proofs are a way to prove that a computation has been executed correctly without revealing any sensitive information. The proofs can be used to verify the execution of AI models, statistical models, and other computations on blockchain networks. EZKL provides a command line tool, a backend proving service, and a Python library for developers to use. The company's economic model involves licensing the components of the system and running backend services. In the future, EZKL aims to provide a more complete solution for interacting with the technology. The demand for verifiable AI and ZK proofs is expected to come from both Web2 and Web3 companies, as well as enterprise clients

 

MENTIONED IN THE CONVERSATION

 

EZKL's Website: https://bit.ly/4dx1wUb

Jason's Twitter: https://bit.ly/4boqumY

 

Topics: fintech, machine learning, ai, artificial intelligence, llm, zk-proofs, zero-knowledge proofs, blockchain, web3

 

Companies: EZKL, Ethereum, Bitcoin, DARPA

 

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👉 Twitter: https://twitter.com/LexSokolin

 

TIMESTAMPS

 

1’18: From Mathematics to Machine Learning: Tracing the Journey of an AI Researcher"

 

3’47: Putting Theory Into Practice: Navigating the Evolution of Neural Networks and Blockchain

 

7’18: Understanding Zero-Knowledge Proofs: The Evolution and Impact of Cryptographic Privacy

 

11’02: Digital Trust and Privacy: How Zero-Knowledge Proofs Enhance Security and Authentication Online

 

16’15: From Consensus to Cryptography: Exploring the Transformative Impact of Zero-Knowledge Proofs on Blockchain Technology

 

22’30: Revolutionizing AI with Blockchain: The Strategic Focus of EZKL on Verifiable and Secure Machine Learning

 

28’18: Connecting Worlds: Bridging Advanced AI and Blockchain Technology for Economic and Computational Efficiency

 

31’21: Strategic Transparency: Integrating Proofs in Smart Contracts for Trustworthy Investment Strategies

 

35’44: EZKL Defined: Navigating the Blend of Product, Library, and Framework in Blockchain Proofs

 

38’48: Blurring Lines: Will Web3 Innovations or Traditional Web2 Enterprises Drive the Future Demand for EZKL?

 

40’28: The channels used to connect with Jason & learn more about EZKL

Disclaimer here — this newsletter does not provide investment advice and represents solely the views and opinions of FINTECH BLUEPRINT LTD.

Contributors: Lex, Laurence, Matt, Farhad, Mike, Daniella

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