Psyche:  In a musical rut? Whatever your age or existing tastes, you can find surprise and enjoyment beyond the streaming algorithms. by James Hadfield…However, ‘new music’ doesn’t mean only ‘music that’s current’. It can also mean music that’s new to you. Our tastes evolve as we get older: you probably know someone who was once an ardent clubber or punk kid but now spends more time listening to 1970s Brazilian music or the gentle jazz of ECM Records releases. That’s perfectly normal. You may be surprised to discover that music you once dismissed, or even outright disliked, now makes perfect sense to you (in my case, both of the above). So ‘new’ doesn’t necessarily mean contemporary…Music taste is subjective. Everyone has their own preferences and pet hates, obsessions and blind spots. I wouldn’t assume that the music I love is going to tickle you in the same way. Your new favourite song may be hiding in plain sight on Spotify’s Global Top 50 playlist, though you’ll probably need to spread the net a bit wider. If you’re using a streaming service, try dipping into some of the curated playlists – which focus more on particular styles or moods – or generating a playlist from an artist, album or song that you already like. (One way to do this is to simply make a playlist with one or two of your favourite albums and then let the algorithm do its work: once it has finished playing songs from the albums, it will seek out similar songs by other artists with whom you may not be familiar.) Online radio stations can also be a great source of music. NPR’s New Music Friday podcasts, Norman Records’ weekly playlists and The Quietus Music of the Month features are good places to catch up on the latest releases. The latter recently introduced me to ABADIR, an Egyptian producer of transportive electronic music, and Emergence Collective, a British improvising ensemble steeped in the influence of minimalist composers such as Steve Reich…”

See also TechCrunch: “DeepMind and YouTube release Lyria, a gen-AI model for music, and Dream Track to build AI tunes