[z3c0]

Agreed. All these attempts to benchmark LLM performance based on the interpreted validity of the outputs are completely misguided. It may be the semantics of "context" causing people to anthropomorphize the models (besides the lifelike outputs.) Establishing context for humans is the process of holding external stimuli against an internal model of reality. Context for an LLM is literally just "the last n tokens". In that case, the performance would be how valid the most probablistic token was with the prior n tokens being present, which really has nothing to do with the perceived correctness of the output.