Bankless Zero-Knowledge AI: The Frontier of Cryptography | Zuzalu #2
Jul 5, 2023
Join AI researcher Daniel Shorr from Modulus Labs and cryptographer Justin Drake from the Ethereum Foundation as they dive into the exciting intersection of zero-knowledge technology and artificial intelligence. They discuss how ZKML can enhance the integrity of AI outputs and the transformative potential of on-chain verification. With insights on decentralized applications and AI in gaming, they explore the risks of biased models and the promising future of reliable and secure AI systems, urging listeners to embrace this new frontier.
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ZKML Mitigates Rug Pulls
- Counterparty risk in AI extends beyond model swapping to output manipulation.
- ZKML ensures authenticity, mitigating risks like rug pulls.
Modulus Labs Origin Story
- Modulus Labs began as a joke, putting a non-performing AI on-chain to predict ETH prices.
- It unexpectedly gained donations but ultimately lost money, highlighting the need for performant models.
ZK Circuits and Trustless AI
- ZK circuits bring trustless verification to AI models.
- External users can leverage blockchain for timestamping and verification.