Every melody that has ever existed and can exist – 68 billion possibilities

Musician and lawyer, Damien Riehl used an algorithm in order to generate every single possible melody, with aims of preventing the overuse of copyright lawsuits. Damien worked with software programmer, Noah Rubin, in order to form the system capable of generating 300,000 melodies per second, amounting to 68 billion tunes, consisting of eight notes each.

Damien carried this out with the intent to portray the quantity of possible melodies, demonstrating there is a cuffing figure, and the possibility is not infinite. They therefore hold the potential of repeating themselves, usually in an unintentional form, thus showing that not all musical copyright infringement is intentional. The melodies were then copyrighted and released into the public domain with the purpose of smothering litigious musicians.

Mr Riehl cited some famous example of music copyright infringement lawsuits, with the recent example of Sam Smith, who was forced to settle a dispute with musician Tom Petty over the apparent similarity between each of their songs. Smith claimed he had never heard Petty’s song, insisting the similarity was a complete coincidence.

In a recent TedXTalk, Damien Riehl insisted that the ‘copyright system is broken’ further suggesting that melodies hold relation to maths and maths is facts, therefore it shouldn’t be copyrightable. The simple intention of this creation is to end accidental copyright infringements and give songwriters more freedom to create and express their music. Some aspects of Damien’s idea may appear controversial, however, placing a stop to accidental copyright infringement could put artists at ease. On the other hand, it could lead to injustice for those whose work has been infringed and could perhaps be utilised by the wrong people as a means of safety, even if their breach was intentional.

If you have any queries regarding the above matter, or any other topic, please do not hesitate to contact the Lawdit Team today.


share this Article

Share on facebook
Share on twitter
Share on linkedin
Share on whatsapp
Share on email

Recent Articles