alt Hacker NewsThis. 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.
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?