The value of an RLM depends on whether it can be trained properly and whether an architecture can be built around it to make it perform very well.

“of it what is really exciting to me about what they did is i'm not entirely sure what their optimization objective was and how they trained it and i think like this is a thing for rlms that we've also been thinking about which is like okay like rlms are a very simple idea if i come out with this paper like anyone can use it now but what distinguishes the actual value of an rlm is whether or not you can”

“you can train it properly and whether or not maybe you can mold some architecture around this system to make it really really good and that's something that like i mean i'm actively working on i guess but i think for them like they figured out a way to train the system which is completely non-trivial like i i actually don't really know how they did it and i've seen some comparisons online of you know some people are claiming they used quinn or they post train on top of quinn but”