Less is more. Never forget the original intention. At first, our vision was to create a service system that empowers offline entertainment scenarios with technological AI means.
As we delved deeper into AI music, we found that the music styles we can cover are not limited to the entertainment industry. We can even venture into practical fields in daily life. However, it is easy to make mistakes if we think too easily.
Recently, after discussions with the Xiaobing AI team in China and doctoral classmates from Carnegie Mellon University, we reached new conclusions and carefully thought and summarized what we should do and what we can do.
For AI, what matters is the quality of the data set rather than relying solely on quantity stacking. If we want Mosphere to become a product with a strong sense of art and rich musical content, then in the early stage, we must focus on a single music style and conduct a large amount of in-depth work. This is undoubtedly what we are good at and willing to do. After all, this is our original intention.
The learning in these few days has transformed my thinking from creating music suitable for the current scene according to different atmospheres to focusing on creating dance music and hip-hop music needed in the entertainment atmosphere. This makes me extremely excited. It seems that I quickly turn around on the wrong path and find my original direction when I look back.
An entertainment market is indeed large enough. Providing happiness to consumers is indeed extremely important.
Create stunning tracks with AI
Revolutionizing music with AI
The team we need in the early stage includes: