The folks at The Pudding are smart, so I assume this whole music taste project was done with their tongues firmly placed in their cheeks.
#How bad is your spotify pudding.cool how to
So when the fine folks at The Pudding figured out how to give chatbots record-store smugness, I thought “Finally, a AI use case I can understand!”. But I also realize that was part of the culture at the time. The thing was it was lazy and loaded with smug attitude. album btw, a more than fine recommendation. If I concluded this person was “basic” on this limited amount of situational information, then they would get an “Oh, I bet you’ll like the new Pearl Jam” response when they asked, “Got any recommendations?” That would have been the Vs. Here’s how it would work: I would make my one- to two-minute assessment of that a person’s music tastes based on what they asked me, what section of the store they were browsing, or the CDs they held in hand. It had more to do with my youthful bias and an unsettling exposure to the music-buying public that conditioned me to assume the worst in people after awhile. To be clear, the Disc Exchange wasn’t Other Music and there wasn’t a ton of attitude at the store. Like The Pudding’s Spotify project (and every 20-something hipster), I also started from the position that most people have awful taste. Quickly judging someone’s taste in music was something I often did in my head at the record store where I worked during college, The Disc Exchange (RIP). Our sophisticated AI judges your awful taste in music. Instead, I found there was a different concept at play: I was just thinking how bad Spotify had been lately at suggesting interesting playlists, so I eagerly clicked over, hoping to find out why the music service had lost a step in its personalized recommendations. If nothing else, you should sign up for their Winning the Internet newsletter, which is where I found the link to their How Bad Is Your Spotify? project. It’s one of the handful of sites I’ll type in by URL to visit (yep, like an old guy).
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