‘…humans are constantly building and maintaining internal models of the world — or world models — of the people and objects around them, and how things work. For example, when you read a novel, you develop a kind of mental database for who each individual character is and what he or she represents. This might include characters’ occupations, their relationships to one another, what their motivations and goals are and so on. In a fantasy or science fiction novel, a world model might even include new physical laws.
‘Many of generative A.I.’s shortcomings can be traced back to failures to extract proper world models from their training data. This explains why the latest large language models, for example, are unable to fully grasp how chess works. As a result, they have a tendency to make illegal moves, no matter how many games they’ve been trained on. We don’t just need systems that mimic human language; we also need systems that understand the world so that they can reason about it in a deeper way.’
Read the full op-ed essay here: https://archive.is/FMo7v#selection-933.392-937.523
Gary Marcus, a founder of two A.I. companies and an author on the subject, says this in the NYT, about why it’s not so awesome.
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