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There are a few trillion reasons the Orch-OR Theory [1] is unpopular. If there are incredibly dense quantum structures called microtubules [2] operating at room temperature within each neuron (and in almost all living things), right now AI may be close to approximating the brainpower of organisms a little smarter than bacteria.

Consider the lifecycle of a butterfly: learn how to navigate as larvae/caterpillar, learn how to identify appropriate food, flee danger, find a place to build a cocoon, perform a metamorphosis, learn to fly, instinctively navigate across a continent - all with one million neurons. All on a trickle of electricity.

Meanwhile, a self-driving car with laser arrays, cameras, GPS, and a quarter rack of computer equipment can't reliably move when the options are forward, reverse, turn left, turn right.

Focusing the puny brainpower of something like a ringworm at a specific problem may result in some basic (as compared to a human brain) learning ability, navigation, and pattern matching, but there's a reason the "real" breakthrough is always just around the corner. No one in AI or neurology wants to admit that the traditional model of neurons and synapses could simply be wrong.

[1] https://en.wikipedia.org/wiki/Orchestrated_objective_reducti... [2] https://www.molbiolcell.org/doi/full/10.1091/mbc.e16-05-0271



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