Do we have a AI with a theory of mind or just a AI that answers the questions in the test correctly?
Now whether or not there is a difference between those two things is more of a philosophical debate. But assuming there is a difference, I would argue it’s the latter. It has likely seen many similar examples during training (the prompts are in the article you linked, it’s not unlikely to have similar texts in a web-scraped training set) and even if not, it’s not that difficult to extrapolate those answers from the many texts it must’ve read where a character was surprised at an item missing that that character didn’t see being stolen.
You can make an educated guess if you would understand the intricacies of the programming. In this case, it’s most likely blurting out words and phrases that statistically most adequately fit the (perhaps somewhat leading) questions.
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Do we have a AI with a theory of mind or just a AI that answers the questions in the test correctly?
Now whether or not there is a difference between those two things is more of a philosophical debate. But assuming there is a difference, I would argue it’s the latter. It has likely seen many similar examples during training (the prompts are in the article you linked, it’s not unlikely to have similar texts in a web-scraped training set) and even if not, it’s not that difficult to extrapolate those answers from the many texts it must’ve read where a character was surprised at an item missing that that character didn’t see being stolen.
Good point. How will we be able to tell the difference?
You can make an educated guess if you would understand the intricacies of the programming. In this case, it’s most likely blurting out words and phrases that statistically most adequately fit the (perhaps somewhat leading) questions.