Large language models (LLMs) have excelled in coding but struggle significantly with playing video games, highlighting their limitations in spatial reasoning and adaptability to diverse tasks. This discrepancy underscores the challenge of creating general AI that can perform well across various domains without extensive domain-specific training. Developers should watch for advancements in LLMs addressing these specific skill gaps.
Read the full article at IEEE Spectrum
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