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OK, save them before they go completely and utterly loopy.
It makes sense that IP streaming services use machine learning algorithms in oorder to make models that can tailor a listener's particular music tastes and preferences.
I have made the point before on this site that services such as Spotify may well have access to listeners' preferences, listeners' demographics, artist, genre and country-of-origin. Such streaming services may well be an immediate source of data for analysis unlike terrestrial FTA broadcast receivers.
Such machine learning ('ML') algorithms must be open to sources of all genres. Algorithms must not have any assumption that a person listens to a particular genre. The 'ML' model must be open to all musical genres and open to new entrants in the musical marketplace.
The new entrants may well appear as a suggestive a la the style of a McDonald's suggestive serve of the type "do you want fries with that?" but instead "would you like to preview Bruno Mars and Anderson Paak? Here is a 30 second preview..."
I would also expect that the ML algorithm would also suggest "Puccini: Gianni Schicchi - "O mio babbino caro" sung by Yvonne Kenny accompanied by the MSO.
The listeners' preferences may well provide a more accurate knowledge of listeners' preferences rather than the dictates of radio station management and inaccurate surveys.
I forgot to sign off,
Thank you,
Anthony of exciting and creative Belfield