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AI and pop music: Can simple probabilities outperform deep learning?


Haebichan Jung Haebichan Jung tells us that he built an original pop music-making machine “that could rival deep learning but with simpler solutions.” Deep learning “is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks.” (Jason Brownlee, Machine Learning Mastery)

Jung tells us that he went to considerable trouble to develop deep learning methods for generating machine pop music but in the end…

I made a simple probabilistic model that generates pop music…

Eric Holloway notes that this is an expected outcome based on the fact that computers cannot generate mutual information, where two variables are dependent on each other. Can simple probabilities outperform deep learning?” at Mind Matters Today More.

See also: Eric Holloway: ID as a bridge between Francis Bacon and Thomas Aquinas


Slaughterbots: How far is too far? And how will we know if we have crossed a line? A greater focus should be on restoring the foundations of our nation over building superweapons. And the key foundation is all human beings’ right to life.


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