We're rethinking our music sequence generation work, moving beyond simple models to care about expressive timing, dynamics, and polyphony, aiming to create high-quality music generation tools.

Improvisation enhances musicianship by opening up your ears and deepening your understanding of how your instrument functions, leading to a more immediate relationship with the music you create.

The goal is to create tools that allow composers to offload interesting aspects of their work, like expressive timing and musical texture.

Improvisation enhances musicianship by opening up your ears and teaching you how your instrument functions, fundamentally changing how you play music.

The challenge is to make our models good enough and easy to use so that even non-expert musicians can find them genuinely musically engaging, focusing on generating interesting sounds rather than just melodies.

To make music interesting, we need to incorporate hierarchical patterning and conditional models that can generate variations, such as chord changes, to create more engaging compositions.

We're gathering valuable feedback from artists using our tools, which is guiding us to improve the usability and fluidity of our music generation tools, especially for integration with software like Ableton.

I find that collaborating with different musicians helps me think about instruments in new ways, especially since a significant portion of my music features guitar.

I have models that continuously process different bodies of text and music to see what interesting outputs emerge, sometimes resulting in messy garbles and sometimes in intriguing sounds.