HomeEnglishRam Gopal Varma’s SAAREE revolutionizes music with AI-generated soundtrack

Ram Gopal Varma’s SAAREE revolutionizes music with AI-generated soundtrack

Ram Gopal Varma's Saaree sensation takes the internet on fire
Ram Gopal Varma’s Saaree sensation takes the internet on fire

Ram Gopal Varma’s SAAREE revolutionizes music with AI-generated soundtrack

Ram Gopal Varma’s latest film, SAAREE, is making waves for its unique approach to music. Titled “Too Much Love Can Be Scary,” SAAREE is set to release in November 2024 as a pan-India film in Telugu, Hindi, Tamil, and Malayalam. Produced by businessman Ravi Varma under the banner of ARV RV Productions, the movie introduces something revolutionary—music generated entirely by Artificial Intelligence (AI).

In collaboration with Ravi Varma, Ram Gopal Varma has launched RGV Den Music, a platform dedicated to producing AI-generated music. The music for SAAREE has been entirely created using AI applications, making it the first full-length feature film to rely on AI-generated music, including its background score. Varma believes this will completely transform the music industry.

During the announcement, Varma explained that AI music has the potential to reshape the industry by replacing human composers, lyricists, musicians, and singers. According to him, human creators often face delays due to scheduling conflicts or the inability to capture the song’s essence, which makes music production time-consuming and costly. On the other hand, AI apps can create, edit, and produce music in seconds at zero cost, offering limitless options to meet any creative demand. Varma emphasized that AI allows for greater creative freedom, as the music created through these apps directly reflects the prompts provided by the user.

One of the major advantages of AI, according to Varma, is its democratization of music production. In the past, only people within the industry had the resources to create music. However, with AI, anyone—from a student to a working professional—can now generate music that aligns with their personal taste. Varma acknowledges that while some may argue that AI-generated music lacks the quality of human-made compositions, he believes that “good” music is subjective and varies from person to person. Ultimately, if an AI-generated song resonates with people, it will gain popularity, much like human-created music.

Varma confidently predicts that AI will eventually dominate the music industry, leading to the decline of traditional music careers. With AI applications capable of generating millions of songs, lyrics, and voices, the future of human musicians, composers, and singers appears uncertain. He advises young people not to pursue careers in music, as competing with AI would be futile.

RGV also compares the rise of AI in music to other technological advancements that have replaced older systems. He notes how cars replaced horse buggies, streaming services overtook DVDs, and emails replaced postal mail. In his view, AI music is simply the next step in this ongoing technological evolution.

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