Don't be a jerk. A lot of people have had bad experiences with these systems from people basically saying exactly what you're saying. This "you should get your eyes checked" mentality is pervasive with the nerds who confidently say that their analysis is solid when it's... not. It's a big problem in communities that have non-conventional videogame puzzles for example. Someone will come in, announce some novel solution.... leading to a four hour fight about the efficacy of LLMs, only to find a mistake in their code the next day.. never to be seen again.

Mind you, I'm not saying that these systems aren't great at reverse engineering and whatnot. They're spectacularly good at that. But RE is a relatively constrained problem because everything is still right in front of you. For complicated problems where the signal is mixed between noise... less so.

Where's the rest of it?