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I'd argue that it's because (true/hard) AI represents, in many ways, the "final frontier" of scientific research. Not in a literal sense -- they'll always be so
by tonysdg 8y ago
I'd argue that it's because (true/hard) AI represents, in many ways, the "final frontier" of scientific research. Not in a literal sense -- they'll always be something else to study. But the notion of creating a thinking machine is, in many ways, the ultimate goal of studying nature and the world around us: to allow us to understand the processes and phenomenon at work well-enough to be able to capture/manipulate/recreate them at will.
This isn't new though -- "thinking machines" have captivated audiences for millenia. See the Antikythera mechanism [1], the Turk [2], and so on. The ability to replicate the capabilities of our own brains is intoxicating -- it finally signals that we, homo sapiens, understand our own minds well-enough to recreate their abilities at will.
[1] https://en.wikipedia.org/wiki/Antikythera_mechanism https://en.wikipedia.org/wiki/Antikythera_mechanism
[2] https://en.wikipedia.org/wiki/The_Turk https://en.wikipedia.org/wiki/The_Turk
- xamuel 8y ago>the "final frontier" of scientific research. Not in a literal sense Real AI would literally be the final frontier, because at that point, all the scientists could quit their jobs. The AI could replace them. But real AI is a lot different than what everyone is selling as AI these days, which is essentially a hyper-glorified generalization of linear regression.