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Meanwhile O3 can not even count rocks in a picture. This is a commonly recurring theme -- ChatGPT does really well at few things considered hard by us but fails miserably at things even a child could do.

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It's almost as if this is a non-human intelligence, which presents different strengths and weaknesses than human intelligence.

Is that really so surprising, considering the tremendous differences in underlying hardware and training process?

Do you not think it is interesting though? If I had asked you three years back which one of counting rocks vs geoguesser would ChatGPT beat humans on would you have answered correctly?

I think one cause of this (and some other issues with LLM use) is that people see it exhibiting one human-level trait, its capability to use language at a human level, and assume that it then comes with other human-level capabilities such as our ability to reason.

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