alt Hacker NewsI'm not sure this actually means anything, though. Like, what information is being taken into account to reach their conclusions? How are they reaching their conclusions? Is someone messing with the input to make the models lean in a certain direction? Just knowing which ones said yes and which ones said no doesn't provide a whole lot of information.
> Like, what information is being taken into account to reach their conclusions? How are they reaching their conclusions? Is someone messing with the input to make the models lean in a certain direction?
I say this exact same thing every time I think about using an LLM.