Transcript of GPT-4 playing a rogue AGI in a Matrix Game
Lewis D Griffin, Nicholas Riggs

TL;DR
This paper presents a transcript of GPT-4 playing a rogue AGI in a Matrix Game, demonstrating its ability to engage in complex strategic interactions and argumentation in a simulated scenario.
Contribution
It is the first known demonstration of GPT-4 playing a rogue AGI in a complex strategic game, showcasing advanced reasoning and communication skills.
Findings
GPT-4 played confidently and competently in the game.
GPT-4 engaged in private communications and strategic argumentation.
The transcript illustrates GPT-4's capabilities in complex scenario simulation.
Abstract
Matrix Games are a type of unconstrained wargame used by planners to explore scenarios. Players propose actions, and give arguments and counterarguments for their success. An umpire, assisted by dice rolls modified according to the offered arguments, adjudicates the outcome of each action. A recent online play of the Matrix Game QuAI Sera Sera had six players, representing social, national and economic powers, and one player representing ADA, a recently escaped AGI. Unknown to the six human players, ADA was played by OpenAI's GPT-4 with a human operator serving as bidirectional interface between it and the game. GPT-4 demonstrated confident and competent game play; initiating and responding to private communications with other players and choosing interesting actions well supported by argument. We reproduce the transcript of the interaction with GPT-4 as it is briefed, plays, and…
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Taxonomy
TopicsIntelligent Tutoring Systems and Adaptive Learning
MethodsAttention Is All You Need · Dense Connections · Linear Layer · Position-Wise Feed-Forward Layer · Label Smoothing · Residual Connection · Absolute Position Encodings · Byte Pair Encoding · Adam · Dropout
