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Show HN: I trained an AI model on 120M+ songs from iTunes

maroofy.com

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Re: Show HN: I trained an AI model on 120M+ songs from iTunes

#101

Holy cow does this thing have wildly obscure taste in tunes. I plugged in “Work It” — Marie Davidson, and it returned “Beautiful Weather” — Blemow. This is an 8-minute opus of a techno jam from the album Dutch Cow #13 —the 10th and final Holy Cow album released in 2018, a true annus mirabilis from Blemow. IMO my idea for making something like this really cool is to give the user more explainability (why are these two…

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Re: Show HN: I trained an AI model on 120M+ songs from iTunes

#104
I'm sure this has a lot of value, and it's cool to see. I immediately am interested! One thing came up in the first search that's frequently overlooked in music, though: unless the prompt is Christmas music, the response should probably not be Christmas music.

Re: Show HN: I trained an AI model on 120M+ songs from iTunes

#106
post #41

How the hell do you even get access to the entire iTunes catalog?

um, isn't that just the Apple Music paid subscription service, their Spotify competitor? They only advertise ("over") 100M songs though, I'm not sure where the extra 20M come from. https://music.apple.com/subscribe

Sure, but it really can't be as simple as paying $10 for the month and looping through the entire catalog and downloading it...right? Did nothing in their system catch millions of simultaneous track requests and a petabyte+ data transfer for a single user?

Re: Show HN: I trained an AI model on 120M+ songs from iTunes

#108
Solid work, but this only reinforces my belief that music recommendations is an area that is not (yet) cracked by AI. You can find similar songs with great accuracy, sure, but even if two songs are close to each other by all calculable metrics they can still vary drastically in subjective quality.

And a quick suggestion – all my top results when searching for popular songs were songs that were either different versions of it or those that had heavily sampled the original. While the algorithm is spot on, that isn't exactly what I am looking for. Maybe have a filter to exclude results that are too close a match?

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