This session features a presentation covering approximately 10 AI music and sound tools. Ethan aims to give a quick, rapid-fire overview of each tool, explaining what they are, what they do, and how they work. The discussion begins with the presenter's initial awareness of AI and machine learning in music around 2019-2020, mentioning Google's Tensorflow and Magenta projects. Several specific tools are demonstrated, including those that allow for transforming one sound into many others using machine learning, tools for aiding in composition and melody generation, and voice cloning tools. The presenter also explores tools for creating sound effects and compositions using text prompts, as well as tools for building music with lyrics and cover art. The session includes discussions of tools like Music FX, Stable Audio, Suno, and Yudio, with some commentary on their capabilities and potential ethical implications. The recording concludes with an invitation for participants to experiment with the tools and share their creations.