LLMs struggle to play video games, despite coding prowess, experts say

Despite rapid advancements in areas like coding, large language models (LLMs) demonstrate significant limitations when it comes to playing video games. While some models have achieved success in specific games, their performance is often slow, error-prone, and requires extensive custom support. Experts suggest that the structured, immediate feedback loop of coding contrasts sharply with the complex, often unstructured, and spatially demanding nature of video games, which LLMs struggle to process. AI

排序理由 This cluster discusses a research paper and expert opinion on the limitations of LLMs in a specific domain (video games), which falls under research.

在 IEEE Spectrum — AI 阅读 →

• AlphaZero
• Gemini 2.5 Pro
• General Video Game AI competition
• IEEE Spectrum
• Julian Togelius
• LLM
• Minecraft
• Modl.ai
• New York University
• Pokemon Blue

• 论文
• 其他

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