Ethereum co-founder Vitalik Buterin's latest vision for the interface between Ethereum and artificial intelligence sees the 2 working together to enhance markets, financial security and human agency.
In a post on
Buterin pointed to 4 key areas where Ethereum and AI could intersect within the near future: enabling trustless and/or private interactions with AI, evolving Ethereum into an economic layer for AI-to-AI interactions, using AI to satisfy the “mountain man” ideal by verifying every thing on-chain, and improving market and governance efficiency.
Source: Vitalik Buterin
Buterin argued that latest tools and integrations are needed to make AI use truly private, without leaking data or exposing personal identities.
Since the emergence of AI chatbots, private data leaks through large language models (LLMs) have turn into an increasing problem area. Cointelegraph Magazine highlighted in an article last month that while ChatGPT can offer you legal advice, your chat logs may be used against you in court.
He cited the necessity for tools to support local use of LLMs on personal devices, using zero-knowledge proofs to make API calls anonymously, and improving cryptographic technology to confirm the work of AI, amongst other things.
Buterin also envisions AI becoming the user's intermediary on the blockchain, suggesting that AI agents could review and audit every transaction, interact with decentralized apps, and suggest transactions to users.
AI verification might be an enormous boon for crypto and other sectors as increasingly sophisticated fraudsters are on the rise. Address poisoning fraud, only one attack vector, has seen a pointy increase since December.
“Basically take the vision that cypherpunk radicals have at all times dreamed of (don't trust, check every thing), which wasn't feasible in point of fact because people won’t ever check all of the code themselves. Now we are able to finally realize that vision, with LLMs doing the hard part,” he said.
Additionally, Buterin believes AI bots can “interact economically” to handle all on-chain activities for users and make crypto rather more accessible.
He said bots might be used to recruit one another, handle API calls and supply security.
“Economies usually are not for the sake of economics, but to enable more decentralized authority,” he said.
Finally, Buterin believes that AI can improve on-chain governance and markets when LLMs are used to beat the boundaries of human attention and decision-making capability.
He said that while things like prediction markets and decentralized governance are “all nice in theory,” they’re ultimately hampered by “limitations on human attention and decision-making power.”
“LLMs remove this limitation and massively expand human judgment. Therefore, we are able to rethink all of those ideas,” he said.
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