N-Grams are all you need! We beat SOTA transformer-based models at decompiler variable renaming and retyping while being simpler, >40x faster, and using only the CPU! w/ Edward Schwartz, @clegoues, @b_vasilescu Check it out: - -

guys I've solved bug discovery

@SuperFashi1 Benefits of spending all my money on domain names

RT @moarbugs: Back to basics: Concurrency testing in Java! Our new tool *Fray* correctly solves a 25+ year old problem for complex real-w…

completing a reCAPTCHA on behalf of Operator is something else...

RT @dicegangctf: 📷DiceCTF 2025 Quals starts in just under two weeks! We're also excited to announce the second DiceCTF Finals, which will b…

me when im ctfing

RT @hgarrereyn: what the fuck is an oh camel 😤

what the fuck is an oh camel 😤

Pretty neat! We can effectively prompt the LLM using code in a way that lets us extrapolate beyond the initial prompt in a programatic way. I've packaged this up in a small POC: TLDR: from omni import Omni o = Omni() o.execute(''' # anything here ''')

Been playing around with a fun pseudo-programming-by-example kind of LLM setup. Instead of having the LLM write our client code (copilot) or write core library code (PBE), what if we have it generate binding code that maps our client code onto existing libraries/frameworks?

the three-peat 🎲🎲🎲

you ever feel like somebody is watching? #BHMEA24

diagonalization arguments are the buffer overflows of mathematics