So, I thought it would be a neat proof of concept if GPT3 served as a bridge between something like a chess engine’s actions and verbal/semantic level explanations of its goals (so that the actions are interpretable by humans). e.g. bishop to g5; this develops a piece and pins the knight to the king, so you can add additional pressure to the pawn on d5 (or something like this).
In response, Reiichiro Nakano shared this paper: https://arxiv.org/pdf/1901.03729.pdf
which kinda shows it’s possible to have agent state/action representations in natural language for Frogger. There are probably glaring/obvious flaws with my OP, but this was what inspired those thoughts.
Apologies if this is really ridiculous—I’m maybe suggesting ML-related ideas prematurely & having fanciful thoughts. Will be studying ML diligently to help with that.
For the basic features, I got used to navigating everything within a hour. I’ll be on the lookout for improvements to Roam or other note-taking programs like this