Summary of Will Gpt-4 Run Doom?, by Adrian De Wynter
Will GPT-4 Run DOOM?
by Adrian de Wynter
First submitted to arxiv on: 8 Mar 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This abstract presents a breakthrough in using Large Language Models (LLMs) for playing classic video games. Specifically, GPT-4 is shown to reason and plan its way through the 1993 first-person shooter Doom, manipulating game elements with only minimal instructions and a textual description generated by itself. The model can perform tasks like opening doors, fighting enemies, and navigating paths. Further improvements are possible using multi-model prompting strategies. Notably, GPT-4 requires no training, relying solely on its internal reasoning and observational capabilities. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary GPT-4 is a super smart computer program that can play video games! It’s really good at figuring things out and making plans. In this study, researchers showed that GPT-4 could play the classic game Doom just by reading descriptions of what was happening in the game. The model was able to open doors, fight monsters, and find its way around. This is a big deal because it means that computers can learn to do things without needing to be taught specifically how. The researchers think this could lead to all sorts of cool applications in the future. |
Keywords
» Artificial intelligence » Gpt » Prompting
