studies show a clear trend – output is up (more code, more commits, bigger diffs), but outcomes don’t reflect that trend. If anything, the average team is taking longer to ship worse software
studies show a clear trend – output is up (more code, more commits, bigger diffs), but outcomes don’t reflect that trend. If anything, the average team is taking longer to ship worse software
Reasonable, though it could be argued they are full of subjective experiences, just all mixed together.
But i expect it’s probably more about the coherence of the experience that provides the meaning in this context.
Coherence as in , one coherent explanation of a subjective experience by a person rather than a plausible sounding experience made up of many bits of experiences from a corpus of data.
Not exactly, i think there are two different things here from my side.
The first:
I think people might attribute person like qualities to an LLM, the “ghost in the machine” as was mentioned earlier.
I wasn’t trying to imply someone who knows what an AGI is supposed to be would use that knowledge to assign godlike attributes to an LLM (a “god in the machine”).
Though , as a concept that would also be a valid example of “belief in the absence of proof”.
I don’t expect most people to know the terminology or have even an idea of what’s happening behind the scenes.
The second:
The part i’m struggling with is why “faith” in something like ability for meaning to come from LLM generated text (god-like or person-like) is any less acceptable than “faith” derived from perceived meaning in seemingly random (based on the knowledge of the time) events, like thunderstorms or plagues.
They would both cover the idea of belief in something in the absence of proof, so how would someone decide one is less valid than the other.