MIT Researchers Just Discovered an AI Mimicking the Brain on Its Own

This finding could open up a major window into how the brain performs at least some part of a higher-level cognitive function like language processing. GPT operates on a principle of predicting the next word in a sequence. That it matches so well with data gleaned from brain scans indicates that, whatever the brain is doing with language processing, prediction is a key component of that.

"What the natural language processing community is doing [...] is something like community evolution." The study’s third major finding, and one that most uniquely ties it to theories about cognition, is that the more brain-like an AI model is, the more it’s able to match human behavior, in this case, subjects’ individual reading times.

“I think this triangle [of insights] is super cool,” Martin says excitedly. “Now that we’ve learned lessons from vision and other areas, we were able to pull all of this together in one study. Models that are better at predicting the next word are better able to predict neural responses in human brains, and the models that better predict neural responses can better predict behavior in the form of self-paced reading times.

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