Sam Altman’s OpenAI unveils ‘EVMbench’ to test whether AI can keep crypto’s smart contracts safe
OpenAI is stepping deeper into crypto safety with the launch of EVMbench, a brand new testing framework designed to measure how effectively synthetic intelligence can perceive and doubtlessly safe sensible contracts on Ethereum and related blockchains.
Good contracts, self-executing code deployed on blockchains like Ethereum, underpin decentralized exchanges, lending protocols and a variety of onchain monetary functions. As a result of these contracts are sometimes immutable as soon as deployed, vulnerabilities could be severe.
EVMbench is OpenAI’s try to see whether or not trendy AI programs are as much as the duty of serving to forestall these points. Inbuilt collaboration with crypto funding agency Paradigm, the benchmark attracts on real-world sensible contract vulnerabilities beforehand uncovered by way of audits and safety competitions.
The system measures efficiency throughout three core talents: figuring out safety bugs, exploiting these bugs in a managed setting and fixing the susceptible code with out breaking the contracts.
OpenAI says the objective is to ascertain a transparent commonplace for evaluating AI programs in blockchain safety, particularly as decentralized finance continues to safe billions of {dollars} in consumer funds. The stakes for sensible contracts are solely rising.
“Good contracts routinely safe $100B+ in open-source crypto belongings. As AI brokers enhance at studying, writing, and executing code, it turns into more and more vital to measure their capabilities in economically significant environments, and to encourage using AI programs defensively to audit and strengthen deployed contracts,” OpenAI wrote in a weblog put up.
Learn extra: Most Influential: Sam Altman
