Summary
An LLM (GPT-4o) was successfully integrated with an 8-bit shoot-'em-up game, receiving "smart senses" as structured text summaries instead of raw visual or audio data. This novel approach enabled the LLM to maintain notes, develop sophisticated strategies across multiple games, and even discover an exploit in the game's built-in AI. This demonstrates a promising method for LLMs to interact with and learn from complex environments using high-level, structured information.
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