Despite what you might see in the movies, AI is simply a model of the human brain🧠, not a copy of it. That difference is important when we look to understand the possibilities (and limitations) of AI models like GPT3 and ChatGPT.
. "People on the engineering side don't care to try to reproduce anything in the brain," he says. "They just want to do something that's going to work."But as Christian noted, what works in artificial neural networks is remarkably similar to what works in biological neural networks.
O'Reilly likens the generic neural networks that preceded the transformers to the posterior cortex, which is involved in perception. When the transformers arrived, they added some functions similar to those of the hippocampus, which, he explains, is good at storing and retrieving detailed facts — for example, what you ate for breakfast or the route you take to get to work. But instead of having a separate hippocampus, the entire AI system is like one massive — pureed — hippocampus.
"The essence of consciousness is really that you have some sense of the state of your brain," he says, and getting that takes bidirectional connectivity. However, all existing models have only one-way conversations among AI neurons. O'Reilly is working on it, though. His research deals with just this kind of bidirectional connectivity.
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