Algorithms clueless industry what new music2 min read

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The algorithms that power music streaming services are often seen as being clueless about what music people want to listen to. In a recent article, the industry insider Bob Lefsetz discussed how these algorithms are unable to predict what new music will be popular. This has led to a situation where music streaming services are flooded with low-quality music, and the good stuff is often buried beneath the noise.

This is a real problem for music fans, who are often forced to listen to music they don’t enjoy in order to find the gems that are hidden amongst the dross. It’s also a problem for artists, who often find it difficult to get their music heard.

There are a number of reasons why the algorithms used by music streaming services are so bad at predicting what music will be popular. One of the main reasons is that the algorithms are based on data that is years out of date. In addition, the algorithms are often based on the assumption that people want to listen to the latest chart music.

This means that artists who don’t fit into the pop mould are often ignored by the algorithms. As a result, they find it difficult to get their music heard by the general public.

There are a number of ways that the algorithms used by music streaming services could be improved. One suggestion is that the algorithms should be based on data that is more up to date. In addition, the algorithms could be made more flexible, so that they are able to take into account the different tastes of different people.

The bottom line is that the algorithms used by music streaming services are in desperate need of an overhaul. If they don’t get one, then the quality of the music that we hear will continue to decline.