We are doomed, I remember that not along time ago I wrote an article about Nicole Moudaber and at that time I finished the article with this:
“Why I brought this subject to all of you? It is not just because of Nicole, it is about the importance to be able to prepare yourself for the future of AI (Artificial Intelligence), did you ever though that AI is starting to mix as a basic DJ (the concept of move between two decks with music)? You may think that this is not an issue but in fact it is a big issue. I would say that in about 4 years from now you will have Virtual Live DJ in many places doing our Job, even someone will create an AI dj that will play in a festival. This mean that you need to be different so that you are not taken down. The only way for you to do this are, start producing music and find a way to play in an unique way. Believe me, this is not so far away of happening.
Maybe this can be an article subject for me to bring to all of you, over my 36 years as a musician I now see AI stepping in on our backyard…
At that time my article was about DJs and how they play but I did not cover the angle about music production and when this blow my mind since it is now here and it is a fact, AI can create real music and you will not notice the difference. Lets first remember when AI started to produce music…
The concept of using computers to generate or assist in music composition has been around for several decades. However, the term "Music AI" specifically refers to the application of artificial intelligence techniques to the creation, composition, and understanding of music.
One of the earliest instances of AI being applied to music composition can be traced back to the 1950s and 1960s. Computer scientist and composer Lejaren Hiller, along with composer Leonard Isaacson, developed the ILLIAC computer at the University of Illinois at Urbana-Champaign. In 1957, they used the ILLIAC to compose the "Illiac Suite," which is considered one of the first pieces of music composed by a computer.
Since then, advancements in computing power, machine learning, and neural networks have led to the development of more sophisticated Music AI systems. In recent years, there has been a surge of interest and research in using AI algorithms for tasks such as music generation, style imitation, and even music recommendation systems. These developments have led to the emergence of various Music AI platforms, tools, and applications, contributing to the evolution of music composition and production.
Wow right! All of this has more than 50 years, the problem gets bigger since AI is related to technology and as we can see around us, well we are living on a computer age already and having the first steps on neural AI, which means that computers can now recreate human thinking and can even overpass it, well I would say fine-tuned it.
So my next question would be, Can AI music recreate the same human feelings?
The ability of AI-generated music to evoke the same depth of human emotions as compositions crafted by human musicians is a subject of ongoing exploration and debate within the field. While AI algorithms can certainly produce music that sounds emotionally resonant to human listeners, whether they truly capture the essence of human feelings is a complex question.
AI models can analyze vast amounts of existing music data to learn patterns and structures associated with different emotional states. They can then generate music that mimics these patterns, aiming to convey similar emotions. Some AI-generated compositions have indeed been praised for their emotional depth and beauty.
However, the emotional impact of music often relies not just on the notes and melodies themselves but also on the context in which they are created and performed. Human composers infuse their music with personal experiences, cultural influences, and individual interpretations, adding layers of complexity and authenticity to their compositions.
Additionally, human listeners often derive emotional meaning from music based on their own experiences, memories, and cultural backgrounds, which can vary widely from person to person.
While AI-generated music can evoke emotions and resonate with listeners, whether it can recreate the same range and depth of human feelings as compositions crafted by human musicians is still an open question. As AI technology continues to advance and our understanding of music cognition deepens, we may gain further insights into the nuances of emotional expression in both human and AI-generated music.
Quite interesting right, would this mean that no more job for producers, music mixing masters and so on? Well at this moment I don’t think so since music is a mix of technique and feelings and the feelings is still what AI can not recreate 100% ye, but I would say that they are at 75% or more already, the difference will be notice in small details. So is this going to be notice by the vast audience? No it will not.
If you want to have a look to AI music generators have a look to
https://suno.com/ and https://udioai.ai/. Try a little bit and you will be amazed.
Well my friends be ready for the next chapter since AI music is already here and in a very short while AI music will get Beatport number 1 for sure and we all are going to dance to the sound of that music, then we will love a machine or a piece of a software. Let go :)
It has been a long time that I did not write to all of you but I hope you liked this article, feel free to provide feedback to me on my instagram dangellodj, thank you for your attention :)
