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This is like asking a chef to make new food based on what you like to eat. You will never discover anything really new, your experience will be narrowcasted. A

by wyck 11y ago

This is like asking a chef to make new food based on what you like to eat. You will never discover anything really new, your experience will be narrowcasted. Avoid this and let dj's, friends, musicians, people, and just surfing around the internet help you find new music. Whenever I hear someone excited about automated music discovery a little voice goes off in my head going ..."ohh no".

rhizome 11y ago
There's very little difference between finding good stuff in automated discovery and finding it because a DJ chose it.
- isolate 11y ago
  Robots have a hard time recommending unpopular items because they lack the context to differentiate between and good and bad. They'd have to be able to listen to music and make cross-referencing judgments about quality. Are the musicians playing well? Are the lyrics any good? Is the style original? Is the recording good? Is it cheesy? Does it try to imitate another song? Is it a good cover? Does it work in spite of a lot of negative indicators? Is it a nice complement to the songs before and after? etc. But if you want to find hits in a genre + time period that you don't know very well, recommendation engines are pretty good, and you don't need to have DJs for that.
- wyck 11y ago
  That's ridiculous and will be ridiculous until robots can replace humans. For example, do you think someone like DJ shadow who has spent tens of thousands of hours digging in empty, old, dusty basements finding and curating music over a lifetime has the same insight as a dicovery algorithm? It's not even close to a comparison, the algorithms are lame compared to actual experience and expertise. I spent 10+ years in the music business as a "buyer" and was later part of a successful music start-up, I can tell you with a resounding "fuck that" to auto discovery unless you like water downed with a side of boring.
  - rhizome 11y ago
    No, I don't think DJ Shadow can be automated, but live DJing is a music discovery channel for only a scant minority of fans. These fans are sometimes called "trainspotters." Radio DJs, on the other hand, have any number of forces affecting their song choices (to the degree the role exists at all anymore), and all in all they're just as much a black box as an algorithm. Sure, we all had radio shows we liked for some time, but those DJs changed and we found something else (notwithstanding people who have been listening to "Renee and Crazy Pete in the morning" for 20 years). Even with all of this, I suspect there's a discrete economic or mathematical reason that profit-oriented discovery engines regress to a mean and will always be trying to recommend the latest AdeleBieberNational. They may not, right away, but a few clicks deep in the sidebar and you find LL Cool J or Foo Fighters popping up.

by wyck 11y ago

rhizome 11y ago

There's very little difference between finding good stuff in automated discovery and finding it because a DJ chose it.

isolate 11y ago
Robots have a hard time recommending unpopular items because they lack the context to differentiate between and good and bad. They'd have to be able to listen to music and make cross-referencing judgments about quality. Are the musicians playing well? Are the lyrics any good? Is the style original? Is the recording good? Is it cheesy? Does it try to imitate another song? Is it a good cover? Does it work in spite of a lot of negative indicators? Is it a nice complement to the songs before and after? etc. But if you want to find hits in a genre + time period that you don't know very well, recommendation engines are pretty good, and you don't need to have DJs for that.
wyck 11y ago
That's ridiculous and will be ridiculous until robots can replace humans. For example, do you think someone like DJ shadow who has spent tens of thousands of hours digging in empty, old, dusty basements finding and curating music over a lifetime has the same insight as a dicovery algorithm? It's not even close to a comparison, the algorithms are lame compared to actual experience and expertise. I spent 10+ years in the music business as a "buyer" and was later part of a successful music start-up, I can tell you with a resounding "fuck that" to auto discovery unless you like water downed with a side of boring.
- rhizome 11y ago
  No, I don't think DJ Shadow can be automated, but live DJing is a music discovery channel for only a scant minority of fans. These fans are sometimes called "trainspotters." Radio DJs, on the other hand, have any number of forces affecting their song choices (to the degree the role exists at all anymore), and all in all they're just as much a black box as an algorithm. Sure, we all had radio shows we liked for some time, but those DJs changed and we found something else (notwithstanding people who have been listening to "Renee and Crazy Pete in the morning" for 20 years). Even with all of this, I suspect there's a discrete economic or mathematical reason that profit-oriented discovery engines regress to a mean and will always be trying to recommend the latest AdeleBieberNational. They may not, right away, but a few clicks deep in the sidebar and you find LL Cool J or Foo Fighters popping up.