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Since I believe consciousness itself is made of EMF waves, generated by neural activity (rather than synaptic firings themselves, which I view merely as signal carriers like the I/O to/from brains), I'm glad to see it any time FFTs are used in any way in NNs or AI research.

I started to develop my own custom type of MLP (multilayer perceptron), that was going to use frequencies and phase angles (FFT) as the "model weights", but then I decided probably it would only outperform the standard MLP if the training data itself was periodic in nature, rather than with language tokens or even image data. Not sure if that's correct or not since Fourier Series shows us ANY arbitrary function can be simulated via a superposition of waves.

I still believe if we do achieve something amazing (i.e. competitive with SOTA AI models) with a wave-based NN, it won't create any 'true' qualia however, because simulating EMF waves in a computer is not the same as real EMF waves existing. I think even a 100% perfect simulation of a brain in a computer, for example, will always be a 'zombie' (no qualia). This is obvious if consciousness is indeed made of waves; but it's astounding how few NN-researchers seem to be so illiterate in the field of neuroscience that they don't realize how much evidence there is that consciousness is a wave phenomena.






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