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It’s also fairly easy to write clickbait that people with Dunning-Kreuger find attractive, apparently!
It's always easier to get clickbait attacking science than it is to tell people they're less complex than they think.
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The cogsci models of humans as von Neumann machines were all replaced in the late 80s when neural networks were understood.Īssertion shaky, source required showing full dogmatic shift in the 80s. The computing metaphor will never go away because it's not wrong. “The brain isn’t a von Neumann machine, Facebook neural networks aren’t von Neumann machines, ergo the brain is a computer like a Facebook neural network” has a logical fallacy in it big enough to drive a truck through.
The neural networks Facebook uses to draw boxes around faces aren't von Neumann machines either. It's not a von Neumann machine, **but that's not really relevant. To extend it further is the same as to say that my hand is a microwave because both it and the microwave can melt butter. “The brain can do computation” is a true statement. It sure is, unless you are the first person in neuroscience to have proof of this, in which case I’m sure your Nobel will be along shortly. The computing "metaphor" is not a metaphor. Unless you had a conversation with a neural network of iron today, in which case maybe head to the ER for a dose of clozapine. Sure bud, as long as you accept “self organization that leads to an ‘I’ which is capable of acting on its environment” along with several other properties that iron doesn’t have as properties that iron has. There are not "emergent" properties of carbon in a brain that are not "emergent" properties of iron in steel. You can call it metaphysics if you want, but until the phenomenon that it describes is better defined, it’s a useful basket term. No, it definitely has a definition, specifically when a system develops properties that none of its components have individually. It's just a paradigm shift in thinking about information processing, and one that started about 40 to 50 years ago (Check out McClelland and Rumelhart's work from the 1980's if you are interested). Now, this article is clickbait, so its trying to make this whole thing seem new or possibly magical in some way, but its not.
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I have little doubt that computers will achieve consciousness once we shift the artificial computing paradigm from serial to distributed and parallel like our brains and we are able to achieve a similar level of capacity in the networks. parallel distributed processing, or neural network models).
The irony is that where we once used a CPU model to think about human cognition, we now use models of human cognition to design new computing paradigms (i.e. Consciousness is likely a function of the vast capacity of such an interconnected system, and likely is not mysterious at all- we just lack the ability to comprehend the finite limits of such a vast system.
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The massive amount of neurons we have means that information is not stored as a series of individual bits as in a computer, but as a pattern of on/off activity across a large network of simple units.
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Computers largely can only do things they are programmed to do- brains know how to learn how to do things through a combination of inborn rules (genetics) and exposure to the environment. We've got lots of ways to encode information beyond a neuron being on/off, but that's the general idea. The brain is not a CPU- its a parallel distributed system with the neuron, a one bit information processor at its core. Even with multiple CPU cores, a computer processes information serially- it does one thing at a time, and we increase complexity by increasing instruction execution speed. Our brains processes information very differently from a PC. The brain, like a traditional computer, is an information processor. Did you read the article? That's not really what it's implying.
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