OpenAI is taking a deeper dive into cryptocurrency safety with the launch of EVMbench, a brand new testing framework designed to measure how properly synthetic intelligence can perceive and doubtlessly safe good contracts on Ethereum and comparable blockchains.
Sensible contracts, self-executing code deployed on blockchains equivalent to Ethereum, energy decentralized exchanges, lending protocols, and a variety of on-chain monetary functions. These contracts usually can’t be modified as soon as deployed, making their vulnerabilities doubtlessly severe.
EVMbench is OpenAI’s try to see if fashionable AI techniques can play a task in stopping these issues. The benchmark was in-built collaboration with cryptocurrency funding agency Paradigm and leverages real-world good contract vulnerabilities beforehand found by audits and safety competitions.
The system measures efficiency throughout three key capabilities: figuring out safety bugs, exploiting these bugs in a managed atmosphere, and fixing weak code with out violating contracts.
OpenAI says its purpose is to determine clear requirements for evaluating AI techniques in blockchain safety, particularly as decentralized finance continues to safe billions of {dollars} in person funds. The stakes for good contracts are solely going to extend.
“Sensible contracts repeatedly safe greater than $100 billion in open supply crypto belongings. As AI brokers enhance their potential to learn, write, and execute code, it turns into more and more vital to measure that potential in economically significant environments and encourage using AI techniques defensively to audit and implement deployed contracts,” OpenAI mentioned in a weblog publish.
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