Core Viewpoint - The article discusses the evolution and potential of AI in the music industry, highlighting the journey of a company focused on AI music generation and the belief in democratizing music creation for everyone [6][10]. Group 1: Historical Context of AI in Music - The first electronic speech synthesizer, Voder, was built in 1938, marking the initial connection between AI and audio [7]. - In 1957, the first computer-generated music piece, "Illiac Suite," was created, but progress in AI music was slow for decades [7]. - The introduction of Google's Magenta project in 2016 showcased the capabilities of AI in music generation, leading to significant advancements in the field [8]. Group 2: Personal Journey and Company Development - The CEO of the company, who has a background in AI algorithms, experienced a pivotal moment in 2016 when he successfully separated vocals from accompaniment using deep learning techniques [8][9]. - The company was founded in 2021, aiming to create a platform where everyone can compose music, similar to how short videos democratized content creation [10][11]. - The CEO believes that music creation can also achieve equality, allowing diverse voices and stories to be expressed through music [10][11]. Group 3: Technological Innovations and Challenges - The emergence of large models based on the Transformer architecture in 2021 led to significant advancements in AI music generation, culminating in the launch of a product referred to as the "ChatGPT of music" [9][10]. - The company is focused on rapid product iterations, aiming to enhance user engagement and creativity through innovative features [39][48]. - The challenge lies in stimulating user creativity and finding effective ways to shorten the music creation process [45][46]. Group 4: Business Model and Market Positioning - The company plans to offer a freemium model, allowing users to create a limited number of songs for free, with monetization options based on song popularity [52][53]. - A significant effort has been made to build a comprehensive music data labeling database, which serves as a competitive advantage in the AI music space [54]. - The company aims to differentiate itself from competitors by focusing on user-generated content and providing a platform for music creation that emphasizes user ownership of their work [55][61].