Machines don't always understand what we want from them. Can new language models teach them to read between the lines?
Through this collaboration, they’re planning to analyze human brain activity and deep learning algorithms trained on language or speech tasks in response to the same written or spoken texts.
“This to us is a strong signal—it suggests that trying to predict the future given the past is probably something akin to what the human brain is trying to do,” King says. “Kids learn to speak within a couple of years, which is a very small amount of sentences [that they’ve had access to] when you compare this kind of data to what AI systems are typically trained with,” says King. “It suggests that we have architectures inside our brain which allow us to be more efficient at extracting from language data the structure of the world—the meaning of what people are trying to convey.
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