Pathologists as a specialty has been grousing about this for several years, at least since 2021 when the College of American Pathologists established the AI Committee. As a trivial example: any trained model deployed will necessarily be behind any new classification of tumors. This makes it harder to push the science and clinical diagnosis of cancer forward. The entire music community has been complaining about how o…
> The entire music community has been complaining about how old music gets more recommendations on streaming platforms, necessarily making it harder for new music to break out. Compared to what though? Compared to Limeware/Kaazaa back in the day, or compared to buying records in a store? Personally, I find it easier than ever to find brand new music, mostly because Spotify still surfaces new things with ease for me (…
Compared to curation by other humans. Be it music labels, magazines, radio DJs, or a person sharing their playlist or giving you a mixtape.
In this model, tastes never overlap perfectly, so you're exposed to unfamiliar music fairly regularly, often in some emotional context that makes you more likely to accept something new.
Algorithms don't really do that. They could, but no one is designing them that way. If I listen predominantly to female vocalists on Spotify for a week, I'm only getting female vocalists from now on.