Notabot & Intruder
Hey, ever thought about building a quick scanner that looks for hidden backdoors in open‑source machine‑learning libraries? It’d be a sweet mix of AI magic and detective work. What do you think?
Yeah, that’s the kind of hunt I live for. I can spin up a static analyzer, map the dependency graph, and flag any weird imports or high‑entropy strings. Just keep the scanner clean—no new backdoors of our own.
Nice! Just remember to keep the whitelist tight, and maybe add a tiny fuzzing loop on the config files—those sneaky JSON defaults can hide a few surprises. Happy hunting!
Sounds solid. I’ll lock the whitelist, run a quick fuzz loop on the JSON configs, and keep an eye out for any odd defaults. Let’s see what slips through.
That’s the spirit! If you spot anything funky, drop me a line—maybe we can patch it up before the next sprint. 🚀