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zefram.eth
@boredGenius
Finally giving privacy to crypto users @FoglightPrivacy @cabaldotcooking
参加 July 2015
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Formal verification at the compiled bytecode level is insane work If Anthropic can do that, why not simply formally model popular languages/compilers which can then be used to much more easily prove code written in those languages?
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New on our Frontier Red Team blog: using Claude to formally verify software at large scale. Formal verification can prove that code is free of certain bugs, but historically it has only been feasible for small codebases (or required a lot of expert time). With AI models, however, this is beginning to change. In collaboration with @theoremlabs, we used Claude to prove security properties in over one hundred real-world open-source libraries over the span of a few weeks. Read our research in full here:
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