This. The math of coincident errors is why we can get reliable AI, but it really is a matter of how the errors manifest and how they are detected.

I’ve written a bit about this and my approach is based on clean room and N-versions.

Reliable AI is an oxymoron and deeply misleading. Even if you can stack models the efficiency tanks. Also, just looking at the Wikipedia page (https://en.wikipedia.org/wiki/N-version_programming#:~:text=...), don't LLMs already have all these problems?

	▲	seanmcdirmid 2 hours ago \| parent [-]
		You aren’t thinking this through. You were just told that this wasn’t stacking but you keep insisting it is. N-versions is explicitly not stacking, and the same solutions that solve the Knight and Leveson issue for humans solves it for LLMs as well (they can be wrong about the same part of the specification, but will very unlikely be wrong about it in the same way, so you try to measure scalar rather than Boolean outcomes).