We Need To Talk About AI Music

Andrew Southworth
26 Apr 202409:03

TLDRThis video explores the capabilities and ethical implications of AI-generated music. The host demonstrates two music services that create songs based on prompts, showcasing their ability to generate lyrics, instrumentals, and even vocals in various styles. While the technology is impressive, it raises concerns about the use of copyrighted material for training AI models and the potential impact on the music industry. The video encourages artists to understand and adapt to these new tools, suggesting a future where artists might benefit from AI-generated music using their own work as training data.

Takeaways

  • 🎵 AI-generated music is already at a level where it can be considered better than some human-created music.
  • 🔍 The video discusses two AI music services that can create lyrics, instrumentals, and artwork based on prompts.
  • 🎶 The AI services can produce music in various styles, including mainstream pop and 1940s style, as demonstrated with songs about Fallout 4.
  • 🤖 AI can generate music with lyrics, melodies, and chords in just 30 seconds, showcasing the technology's impressive capabilities.
  • 👎 While the AI-generated songs may not be the best in the world, they are good enough to tell a story and have catchy melodies.
  • 🤔 The video raises ethical questions about the training data used by AI services and whether they have the rights to the music they were trained on.
  • 💡 AI-generated music is creating new music, not copying existing songs, which is a point in favor of the services' legality.
  • 🌐 The potential impact of AI on the music industry is significant and could disrupt traditional artist revenue streams.
  • 💰 There is a suggestion that artists could benefit financially if their music is used in the training of AI models, with an opt-in/opt-out system.
  • 🛠️ AI tools for music creation will likely become part of the workflow for artists, similar to using compressors or EQs in music production.
  • 🔮 The future of the music industry with AI integration is uncertain but has the potential to be both transformative and disruptive.

Q & A

  • What is the main topic of the video script?

    -The main topic of the video script is the discussion of AI-generated music, its current capabilities, ethical considerations, and potential impact on the music industry.

  • What services are mentioned in the script for creating AI music?

    -The script mentions two services, 'udio' and 'soono', which are used to create AI-generated music.

  • How does the AI music creation process work according to the script?

    -The AI music creation process involves typing in a prompt, and the AI generates a song with lyrics, instrumental, vocals, melodies, and chords within 30 seconds.

  • What is the ethical concern raised about the training data of AI music services?

    -The ethical concern is whether the AI music services have used songs from YouTube and Spotify without permission or proper licensing to train their models, potentially infringing on copyright.

  • How does the script suggest the music industry might adapt to AI-generated music?

    -The script suggests that artists might need to understand and use AI tools, and that new services could emerge that pay artists for their music used in training data or allow them to opt in or out of AI music generation.

  • What is the potential impact of AI-generated music on artists according to the script?

    -The potential impact is that AI-generated music could disrupt the traditional music industry by creating new music that could compete with human-created music, potentially affecting artists' livelihoods.

  • What is the script's stance on the quality of AI-generated music compared to human-created music?

    -The script acknowledges that while AI-generated music is not the best in the world, it is good enough to pass as better than some human-created music and is capable of creating a lyrical story and catchy melodies.

  • What genres of music does the script mention AI being able to generate?

    -The script mentions AI being able to generate mainstream pop, 1940s style music, and progressive metal music.

  • How does the script compare AI-generated music to traditional music creation?

    -The script compares AI-generated music to traditional music creation by suggesting that AI tools will become part of the workflow, similar to how musicians use compressors, EQs, and other tools, with the artist acting as the filter and making manual adjustments.

  • What is the script's final message to the viewers regarding AI music?

    -The final message is to encourage viewers to play with AI music tools, understand them, and be prepared to capitalize on opportunities as they arise, as major labels are likely looking into these tools for their potential benefits.

Outlines

00:00

🎵 AI Music Generation and Ethics 🎵

This paragraph discusses the capabilities of AI in creating music and the skepticism from artists about its quality. The speaker highlights two AI music services that can generate songs in various styles, including mainstream pop and 1940s style music, with lyrics, instrumentals, and artwork, all within a minute. The AI's ability to create music in different genres, such as metal, is demonstrated. The ethical considerations of AI music generation are also raised, questioning the legality and rights issues surrounding the training data used by these services, and whether they have the rights to use the music they were trained on. The speaker suggests that AI is creating new music rather than copying, which could be a point in favor of the services, but the debate on royalties and rights is ongoing.

05:00

🔮 The Future Impact of AI on the Music Industry 🔮

The speaker contemplates the potential impact of AI-generated music on the music industry, suggesting that it could disrupt traditional music creation and artists' livelihoods. They draw parallels with the rise of piracy and the subsequent creation of services like Spotify to address the issue. The paragraph speculates on the possibility of a new service that could appease artists by offering them a share of the profits from AI-generated music that uses their work as training data. The speaker also touches on the philosophical question of ownership in generative music, comparing AI tools to other music production tools where the artist's input determines the final output. They conclude by emphasizing the importance for artists, especially indie artists, to understand and adapt to these new technologies, as they could offer opportunities for income and influence in the industry's future.

Mindmap

Keywords

💡AI Music

AI Music refers to music that is composed, arranged, or produced using artificial intelligence algorithms. In the context of the video, AI Music is presented as a rapidly advancing technology capable of generating original songs in various styles, which raises questions about the quality and potential impact on human musicians.

💡Mainstream Pop

Mainstream Pop is a genre of popular music characterized by its wide appeal and commercial success. The video discusses the ability of AI to generate mainstream pop songs, suggesting that AI can produce music that is not only acceptable but also competitive within the current music market.

💡1940s Style

The term '1940s Style' in the video refers to the musical style and aesthetic of the 1940s, which AI is capable of replicating. This showcases the versatility of AI in music generation, as it can emulate historical music styles, providing a nostalgic experience for listeners.

💡Lyrics

Lyrics are the words or text set to music in a song. The video script mentions that AI not only creates the instrumental part but also generates lyrics, demonstrating the comprehensive nature of AI's capabilities in song production.

💡Instrumental

An Instrumental is a piece of music that is composed without any lyrics or vocals. The video highlights that AI can create instrumentals, indicating that it can handle the musical composition aspect of song creation independently.

💡Artwork

Artwork in the context of music often refers to the visual representation or cover associated with a music album or single. The script mentions AI's ability to create artwork, suggesting that AI can provide a complete package for music releases, including visual elements.

💡Ethics of AI Music

The Ethics of AI Music pertains to the moral considerations and implications of using AI in music creation. The video discusses concerns about the potential misuse of copyrighted material in training AI models and the ethical responsibility of AI developers and users in the music industry.

💡Training Data

Training Data refers to the dataset used to teach AI systems how to perform specific tasks. In the video, there is a discussion about the unknown origins of the training data for AI music platforms, raising questions about copyright and the legality of the data used to train these systems.

💡Royalties

Royalties are payments made to the creators or owners of intellectual property for the use of their work. The script raises the question of whether AI models should pay royalties for the music they generate, especially if the training data includes copyrighted material without permission.

💡Indie Artists

Indie Artists are independent musicians who produce music outside of the mainstream commercial music industry. The video emphasizes the importance for indie artists to understand and adapt to AI music technology, as it may offer new opportunities or pose challenges to their careers.

💡Generative Music

Generative Music is a type of music that is created using systems that generate unique musical pieces each time they are run. The video script mentions generative music modules and compares AI music generation to this concept, suggesting that AI tools could become an integral part of a musician's creative process.

Highlights

AI created music is already good enough to pass as better than a lot of human-created music.

The video will demonstrate two different AI music services and discuss the ethics of AI music.

AI can generate a song in different styles, such as mainstream pop or 1940s style, based on given prompts.

AI services create lyrics, instrumental, artwork, and a one-minute song in just 30 seconds.

The AI-generated songs are not the best in the world, but they capture the essence of the given theme well.

AI has the capability to generate music in various genres, including metal and progressive styles.

AI-generated music raises ethical questions about the training data and rights to the music used for training.

There is uncertainty about whether AI services have rights to the music they were trained on.

AI-generated music is creating genuinely new music, not just copying existing songs.

The debate over whether AI models should pay royalties for the music they were trained on is ongoing.

The technology is impressive but may negatively impact artists if not managed properly.

The music industry may face significant changes if AI music generation becomes widely accessible.

Indie artists should understand and utilize AI music tools to capitalize on upcoming opportunities.

Major labels might already be exploring AI music tools for potential use.

AI music tools could be integrated into music production workflows, similar to other audio processing tools.

The future of the music industry in the next 5 years could be heavily influenced by AI music generation.

The video encourages viewers to explore and understand AI music tools to stay ahead in the industry.