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akprasad | 2 years ago
By definition, we don't have data for events we haven't seen before. So instead I reason as well as I can:
Consider the set of all jobs a human being could do. Consider the set of all jobs an AI system could perform as well as a human being but more cheaply. Is the AI set growing, and if so, how quickly?
Prior technology is generally narrow and dumb: I cannot tell my cotton gin to go plant cotton for me, nor can I ask it to fix itself when it breaks. Therefore I take on a strategic role in using and managing my cotton gin. The promise of AI systems is that they can be general and intelligent. If they can run themselves, then why do I need a job telling them what to do?
tombert|2 years ago
"Computer" used to be a profession, where people would sit and do multiplication tables and arithmetic all day [1]. Then computing machines came along and put all those people out of work, but it also created entire new categories of jobs. We got software engineers, computer engineers, administrators, tons of sub-categories for all of those, and probably dozens more categories than I can think of.
I think that there's a very high likelihood with the current jobs that humans do better than computers, most will be replaced by cheaper AI labor. However, I don't see why we should assume that set of things that humans do better than computers is static.
[1] https://en.wikipedia.org/wiki/Computer_(occupation)
akprasad|2 years ago
This is not as nebulous of a set as it sounds because it has real human boundaries: there are limits to how fast we can learn, think, communicate, move, etc. and there are limits to how consistently we can perform because of fatigue, boredom, distraction, biological needs like food or sleep, etc. The future is uncertain, but I don't see why an AI system couldn't push past these boundaries.