This treatment of the idea of complexity is clearly incorrect for the simplest possible reason… we have no idea what the Kolmogorov complexity is of these objects versus each other, since the lower bounds are exactly identical! (Said bounds are just, a hair above zero because we can be relatively sure that their existence is not absolutely required by the laws of the universe, but little more than that.) The upper bounds are different, but not in an illuminating manner.
Thus, we have to use other things to determine complexity, and the brain is clearly far more complex in the relevant ways than something like Microsoft Word™. Word processors of similar use can fit into a tiny fraction of the size of Microsoft Word without losing much in terms of features and usefulness, and may not be any simpler. So with the entire premise incorrect, it makes the rest of the post uninteresting. (Yes, I only skimmed the rest to see you didn’t address the issue.)
To illustrate the issue, people like me believe that software is mostly bloat (which is only complex in the other sense). The same program can take 1 MB or 10,000MB simply by changing compression scheme (especially if we are assuming the latter was done very badly, by people who have no idea what they are doing). More concretely take the example of a music video which might be 300 MB for 180 seconds after compression, but before compression might be 100GB (3 bytes per pixel for 3840 * 2160 pixels for 24 frames per second for 180 seconds / 1024^3 = 100.1129150390625 GB and the result could easily be higher since it could realistically be 4 times the pixels at 2.5 times the fps at 4⁄3 the bytes per pixel which would push it over a terabyte). Note that the compressed music video isn’t necessarily any simpler by Kolmogorov than the uncompressed version despite the latter being about 333 times the size, since we don’t actually know the simplest representation of the music video (and generic compression algorithms often find the lossily compressed version harder to compress and end up being much larger than the original).
This treatment of the idea of complexity is clearly incorrect for the simplest possible reason… we have no idea what the Kolmogorov complexity is of these objects versus each other, since the lower bounds are exactly identical! (Said bounds are just, a hair above zero because we can be relatively sure that their existence is not absolutely required by the laws of the universe, but little more than that.) The upper bounds are different, but not in an illuminating manner.
Thus, we have to use other things to determine complexity, and the brain is clearly far more complex in the relevant ways than something like Microsoft Word™. Word processors of similar use can fit into a tiny fraction of the size of Microsoft Word without losing much in terms of features and usefulness, and may not be any simpler. So with the entire premise incorrect, it makes the rest of the post uninteresting. (Yes, I only skimmed the rest to see you didn’t address the issue.)
To illustrate the issue, people like me believe that software is mostly bloat (which is only complex in the other sense). The same program can take 1 MB or 10,000MB simply by changing compression scheme (especially if we are assuming the latter was done very badly, by people who have no idea what they are doing). More concretely take the example of a music video which might be 300 MB for 180 seconds after compression, but before compression might be 100GB (3 bytes per pixel for 3840 * 2160 pixels for 24 frames per second for 180 seconds / 1024^3 = 100.1129150390625 GB and the result could easily be higher since it could realistically be 4 times the pixels at 2.5 times the fps at 4⁄3 the bytes per pixel which would push it over a terabyte). Note that the compressed music video isn’t necessarily any simpler by Kolmogorov than the uncompressed version despite the latter being about 333 times the size, since we don’t actually know the simplest representation of the music video (and generic compression algorithms often find the lossily compressed version harder to compress and end up being much larger than the original).