All the evidence suggests that our own minds are also nothing more than probability engines.
This completely understates the gulf between what we call AI and how the human brain actually works. The difference is so severe that acting as if they’re quantitatively comparable is basically pseudoscience. You might as well start claiming that we’re not far off from building a Dyson sphere just because we invented solar panels.
Most “AI” these days are built using linear feed forward networks. The brain is constructed using nonlinear recurrent networks which are can do far more with less. Now you could theoretically create the same output from a linear feed forward network but it’s way less efficient and would require many more neurons to achieve such a result. Which is wild when you consider that there are orders of magnitude more synapses in just the regions of the brain associated with language than there are parameters used in even today’s most advanced “AI” models. Now consider that human synapses rely on over a hundred qualitatively different neurotransmitters and not just a single 16-bit number. It’s also not just the scale of the signal that transmits information in a human synapse but the pattern too. Would you be surprised to know that there are a whole variety of signaling patterns neurons use? Because that’s true too. I haven’t even gotten into the differences in complexity in terms of how neurons process the information they receive. As of now there is no “AI” system that comes anywhere close to replicating that kind of complexity. It’s absurd to suggest where dealing with qualitatively similar machines here.
Sure in the same way that a horse and a motorcycle operate on similar principles and serve the same function.
Where the straw man? You’ve missed my point entirely. LLMs and the human mind operate on categorically different principles. All the verbiage used to describe neural network models has little to do with how the brain actually works. That’s honestly wasn’t a problem until Tech companies started purposely misusing those terms and now far too many people seem to think “AI” is something it’s not.