We Need To Talk About AI Music
TLDRThe video discusses the capabilities and ethical considerations of AI-generated music. The host demonstrates two AI music services that can create complete songs, including lyrics, instrumentals, and vocals, based on a given prompt. While the music generated is not considered the best, it is surprisingly good and can mimic various styles, from mainstream pop to progressive metal. The video raises questions about the training data used by these services and the potential impact on artists' livelihoods. It suggests that a solution may involve artists opting in to have their music used for training AI models, possibly leading to a new revenue stream. The host encourages artists to understand and utilize these tools, as they are likely to shape the future of the music industry.
Takeaways
- 🎵 AI-generated music is already at a level where it can pass as better than many human-created songs.
- 🚀 Two different AI music services were showcased, both capable of creating complete songs from a prompt, including lyrics, instrumentals, and artwork.
- 🎶 The AI services can generate music in various styles, from mainstream pop to 1940s style, and even progressive metal.
- ⏱️ The songs generated by the AI were created in real-time, with some songs being around one minute long, and others up to two minutes.
- 🤔 Ethical concerns were raised about the training data used by AI music services and whether they have rights to the music they were trained on.
- 💰 There is a debate on whether AI models should pay royalties for the music they generate, as they are creating new content rather than copying existing songs.
- 🌐 The impact of AI on the music industry could be significant, potentially affecting artists' livelihoods and the way music is produced and consumed.
- 🔄 The technology is impressive but also poses challenges for the industry, such as the potential for unauthorized use of music for training AI models.
- 🧩 AI music generation could become another tool in a musician's workflow, similar to a compressor or EQ, where the artist decides the final output.
- 👍 Indie artists are encouraged to understand and utilize AI music tools to capitalize on new opportunities as they arise.
- 🔮 Major labels are likely exploring these AI tools, either to adapt or to find new ways to monetize music.
Q & A
What is the general perception among artists regarding AI-created music?
-Many artists believe that AI-created music will never be as good as human-created music.
What are the two different services of music creation mentioned in the transcript?
-The transcript does not specify the names of the two services, but it discusses their capabilities in creating music, including lyrics, instrumentals, and artwork.
What type of song is suggested to be created on both platforms in the video?
-A mainstream pop song about the game Fallout 4 and a 1940s style song.
How long did it take for the AI to generate the songs in the video?
-The AI generated the songs, including lyrics, instrumentals, and vocals, in about 30 seconds.
What are some of the ethical considerations mentioned regarding AI music?
-Concerns include the source of the training data for the AI services, whether they have rights to the music they use for training, and the potential impact on artists' livelihoods.
How does the AI generate music that is not directly copied from existing music?
-The AI generates new music based on patterns and styles it has learned, creating original compositions that have not been heard before.
What is the potential impact of AI music on the music industry?
-AI music has the potential to disrupt the industry, possibly affecting artists' incomes and the way music is created and distributed.
What is the speaker's opinion on the future of AI music and its interaction with artists?
-The speaker believes that there will be services developed that make artists happy by paying them for the use of their music in training data and offering opt-in or opt-out options.
How does the speaker compare AI music generation to using other music production tools?
-The speaker suggests that using AI tools for music creation will be similar to using a compressor, EQ, or other production tools, where the artist remains an essential part of the creative process.
What advice does the speaker give to independent artists regarding AI music?
-The speaker advises independent artists to understand and learn how to use AI music tools to capitalize on opportunities as they arise.
How does the speaker describe the initial reaction to hearing AI-generated music?
-The speaker describes the initial reaction as mind-blowing and terrifying, raising questions about the future of the music industry.
Outlines
🎵 AI Music Generation: Quality and Ethical Concerns
The paragraph discusses the perception of artists regarding AI-generated music and its potential to rival human-created music. The speaker introduces two AI music services, demonstrating how they can create a song based on a prompt within seconds. The services generate lyrics, instrumentals, and even artwork. While the quality may not be the best, it's noted to be good enough to surpass some human-made music. The paragraph also touches on ethical considerations, such as the source of training data for these AI services and the implications for artists' rights and royalties. There's a debate on whether AI-generated music should be subject to the same rights and payments as human music, with an analogy to human inspiration in music creation.
🚀 Impact on the Music Industry and Artist Opportunities
This paragraph delves into the potential impact of AI music generation on artists, suggesting that it could disrupt the industry significantly. The speaker expresses concerns about the possibility of unauthorized use of music for training AI systems and the challenges in controlling the spread of such technology, drawing parallels with the persistence of piracy. However, there's optimism that a new service could emerge that would fairly compensate artists while allowing users to opt-in to contributing their music to AI training. The paragraph concludes with a perspective that AI tools for music creation will become part of the workflow, similar to other audio processing tools, and that artists, especially independents, should understand and adapt to these changes to capitalize on new opportunities.
Mindmap
Keywords
💡AI Music
💡Ethics of AI Music
💡Music Services
💡Mainstream Pop Song
💡1940s Style Song
💡Lyrics
💡Instrumental
💡Vocals
💡Melodies
💡Progressive Metal
💡Artists' Rights
💡Music Industry
💡Indie Artists
💡Generative Music
💡Opt-in/Opt-out
Highlights
AI created music is already good enough to pass as better than a lot of human-created music.
Two different AI music services are demonstrated, showcasing their ability to generate music in various styles.
The AI services can create lyrics, instrumentals, artwork, and even vocals within 30 seconds.
AI-generated music is not the best in the world, but it is impressive and can evoke the essence of themes like Fallout 4.
The AI services are capable of generating music in various genres, including mainstream pop and metal.
Ethical concerns are raised about the training data used by AI music services and potential copyright issues.
AI music generation could disrupt the music industry, posing a threat to artists' livelihoods.
There is a debate on whether AI-generated music should pay royalties, as it is creating new, never-before-heard music.
The technology is impressive, but its impact on artists and the music industry is uncertain.
The potential for AI music generation to replace human musicians is compared to the rise of digital piracy.
A solution might involve a service that compensates artists for their music used in training AI models.
Artists could opt-in or opt-out of AI music generation services, similar to current music distribution platforms.
The role of artists may evolve to become 'filters' for AI-generated music, similar to using other music production tools.
Generative music has been a topic of debate for years, with questions about ownership and creation.
AI music tools could be integrated into artists' workflows, augmenting their creative process.
The music industry should prepare for the impact of AI on music creation and distribution.
Indie artists are encouraged to understand and utilize AI music tools to capitalize on emerging opportunities.
Major labels are likely exploring AI music tools for potential benefits and revenue streams.