The reality is that large language models (LLMs) often struggle with basic physical concepts, leading to incorrect answers in straightforward scenarios like counting items on a plate.
Despite the hype surrounding AI advancements, practical capabilities of current LLMs like GPT-4o and Claude 3.5 Sonnet reveal limitations that challenge claims of achieving artificial general intelligence.
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