The assumption is that the initial condition of the fully automated economy and government is ideal in terms of a modern middle-class experience for everyone with a guaranteed income and free entertainment. It can only get worse from there. Humans offer nothing to improve the future of the automation. Inevitably, they will segregate into groups. Those groups will strive for improvements of their condition where their best opportunity is at the expense of other groups. The automation will adapt.
Behind this messy argument is a deeper concern I have that we are doing a disservice to young people by presuming that they really do need more than a decade to learn advanced skills. We can subject young people to more intense education than we are now, and that they could have college-graduate level skills before they become 18 years old. Yet, we think that such an expectation is unwise as if it risks losing something more valuable. Perhaps we fear the young person’s loss to easy access to the presumption of innocence.
The modern era of machine learning, though, presents us an example where we can begin to suspect a separate level of intelligence, and one that feeds on our intelligence. As we sense this happening, we realize that we’ll get no sympathy from the machine for the exact same reason we don’t recognize naturally occurring intelligence in non-humans.
With big data, we end up with deep historical data from distant events. There will be something needed to fill in the gaps that were mysteries at the time. That gap filler will be spontaneous data whether we acknowledge it or not. Even if we as humans leave the gap unfilled, we can’t be sure that our data analytics or machine learning algorithms won’t fill it. When it does, how can we be sure it won’t come up with a supernatural explanation that it keeps to itself?
Just like the fact that I can’t interest an advanced piano teacher doesn’t diminish the fact that such teachers exist, the fact that science can’t engage the immaterial teacher says nothing about the existence of such a teacher. The teacher is simply uninterested in engaging, and have every good reason to not engage.
Learning is an instinctual behavior. If we had to be taught how to learn, we could never learn that lesson.
We need a new approach to governance at all scales in order to sustain and build upon our culture. I think a new approach is possible by recognizing that narratives are expendable. We do not need consistency of narratives over time, for all narratives at all scales from nations to individuals.
What really makes legacy news fake is the tyrannical influence of past narratives that influence what future observations we accept. Fake news is the need to keep old narratives relevant when the such a narrative never would have emerged if started from scratch with the data available at the current moment.