top | item 46501156 (no title) yaur | 1 month ago It is ridiculously easy to create an album with Suno and push it Spotify. I'm surprised its only 66% TBH discuss order hn newest RachelF|1 month ago Anna's archive has a great analysis of the Spotify data.They identify a huge surge in tracks that few listen to after gen AI started.The analysis is worth reading. The distribution is (Pareto)^3 ~99% of the tracks played are 1% of the catalogue. nkozyra|1 month ago 1. Generate slop music nobody will ever listen to 2. ???? 3. Profit seabrookmx|1 month ago It's actually:1. Generate slop music no _human_ will ever listen to2. Use a botnet to "play" this music en masse3. ProfitThis is a whole arms race, with companies (such as Beatdapp) specializing in detecting fraudulent plays.Source: I work for a niche music retailer that struggles with the same issues on a smaller scale.
RachelF|1 month ago Anna's archive has a great analysis of the Spotify data.They identify a huge surge in tracks that few listen to after gen AI started.The analysis is worth reading. The distribution is (Pareto)^3 ~99% of the tracks played are 1% of the catalogue.
nkozyra|1 month ago 1. Generate slop music nobody will ever listen to 2. ???? 3. Profit seabrookmx|1 month ago It's actually:1. Generate slop music no _human_ will ever listen to2. Use a botnet to "play" this music en masse3. ProfitThis is a whole arms race, with companies (such as Beatdapp) specializing in detecting fraudulent plays.Source: I work for a niche music retailer that struggles with the same issues on a smaller scale.
seabrookmx|1 month ago It's actually:1. Generate slop music no _human_ will ever listen to2. Use a botnet to "play" this music en masse3. ProfitThis is a whole arms race, with companies (such as Beatdapp) specializing in detecting fraudulent plays.Source: I work for a niche music retailer that struggles with the same issues on a smaller scale.
RachelF|1 month ago
They identify a huge surge in tracks that few listen to after gen AI started.
The analysis is worth reading. The distribution is (Pareto)^3 ~99% of the tracks played are 1% of the catalogue.
nkozyra|1 month ago
seabrookmx|1 month ago
1. Generate slop music no _human_ will ever listen to
2. Use a botnet to "play" this music en masse
3. Profit
This is a whole arms race, with companies (such as Beatdapp) specializing in detecting fraudulent plays.
Source: I work for a niche music retailer that struggles with the same issues on a smaller scale.