AI Safety for Smart Contracts Is AI Safety for the World

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Ari Juels is a faculty member at Cornell Tech in New York and co-director of the Initiative for CryptoCurrencies and Contracts (IC3). He is also chief scientist at Chainlink Labs.

Web3 and blockchain technology go far beyond Bitcoin and NFTs. As businesses become more aware of Web3’s possibilities, one feature will play an important role: smart contracts.

Laurence Moroney is an award-winning researcher, best-selling author and AI Advocate for Google. He teaches several popular AI courses with Harvard, Coursera and— lacks the natural language processing capabilities needed to interpret human communication. So it’s no surprise that most smart contracts follow rigid codified rules as used by technical or financial specialists.that provide an interface to the underlying intelligence, reasoning and language understanding of an LLM family.

Imagine that Alice sells NFT-based tickets for live concerts. She uses a smart contract powered by an LLM to handle business logistics and interpret instructions such as her cancellation policy: “Cancel at least 30 days in advance for full refund.” This works well at first. But suppose the underlying LLM is updated after being trained on new data — including a patchwork ofon event ticketing.

We believe that authentication of three kinds will be the key to safe use of LLMs in smart contracts.

 

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