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yeah - so I think this is worth exploring. Given how many tokens you can jam in the prompt even w/ GPT3, I think could do some pretty complex game play, at least compared to what is typical in the lab e.g., I think could easily have it remember how 100 or so other agents behaved in some kind of public goods game.

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Reminds me of Facebook's CICERO model:

> Facebook's CICERO artificial intelligence has achieved “human-level performance” in the board game Diplomacy, which is notable for the fact that’s a game built on human interaction, not moves and manoeuvres, like, say, chess.

It was the same scenario - many agents, multiple rounds, complex dialogue based interactions.

That's actually a pretty cool analogy, even the decisionmaking is arguably quite close to how human decision making actually happens (which involves a lot more exchange of words than just transmitting coded information like "accept proposal to exchange X of good Y for Z monetary units"). Might be a bit tricky to get an AI to really "understand" those implications of their response, but it's cool as a thought experiment.

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