Awesome collection. The notion of songs as antennae that detect future trends makes a lot of sense. Metaphorically, song writers might act like radios that resonate with "stations" representing future (or other) trends. They recognize patterns of intuitive or experiential interest.
To predict the future, you need to know which songs should be listened to and which are distractions.
This is also a pattern recognition activity that people are good at; AI's still much less so. Humans are much better at pattern recognition (and emotion) than they are at applying logical rules. AI's based on deduction (so-called "expert systems") with programmed-in rules have little or no intrinsic pattern matching ability. AI's (or parts of them) using neural networks are good at finding patterns, but need tremendous amounts of ongoing training to learn and keep learning.
So I think it will be a while before AI's replace humans.
Awesome collection. The notion of songs as antennae that detect future trends makes a lot of sense. Metaphorically, song writers might act like radios that resonate with "stations" representing future (or other) trends. They recognize patterns of intuitive or experiential interest.
To predict the future, you need to know which songs should be listened to and which are distractions.
This is also a pattern recognition activity that people are good at; AI's still much less so. Humans are much better at pattern recognition (and emotion) than they are at applying logical rules. AI's based on deduction (so-called "expert systems") with programmed-in rules have little or no intrinsic pattern matching ability. AI's (or parts of them) using neural networks are good at finding patterns, but need tremendous amounts of ongoing training to learn and keep learning.
So I think it will be a while before AI's replace humans.
Cheers...
Thanks Rich. Sometimes worry it's not humans but AIs that become the stations. The back-from-the-dead Nirvana video is a signal worth exploring.