Once again, we see that it's much easier to teach machines to perceive and decide well, in many cases well above human performance - while at the same time, making machines that can navigate the same physical environment humans do, and do a variety of manual tasks that mix power and precision, remains extremely challenging.
The message this sends is pretty clear: machines are better at thinking, humans are better at manual work. That is the natural division of labor that plays into strengths and weaknesses of both computers and human beings.
And so, I'm sorry to say this, but the near future is that in which computers play our games and do the thinking and creative work and management (and ultimately governance), because they're going to be better at this than us, leaving us to do all the physical labor, because that's one thing we will remain better at for a while.
That, or we move past the existing economic structures, so that we no longer need to worry about being competitive with AI labor.
In a world where AI takes over cognitive work it's not far fetched to imagine a future where robotics is going to hockey stick, at which case we will either end up like citizens of The Culture, or if not citizens of the Belt.
The message this sends is pretty clear: machines are better at thinking, humans are better at manual work. That is the natural division of labor that plays into strengths and weaknesses of both computers and human beings.
And so, I'm sorry to say this, but the near future is that in which computers play our games and do the thinking and creative work and management (and ultimately governance), because they're going to be better at this than us, leaving us to do all the physical labor, because that's one thing we will remain better at for a while.
That, or we move past the existing economic structures, so that we no longer need to worry about being competitive with AI labor.
/s, but only a little.