There is a group of music innovators who start from the extreme styles of underground music—death metal, drum and bass, hardcore punk—but are not satisfied with traditional methods of creation. They have chosen a crazier path: using code and machine learning to generate music.

The stage of the Music Hackathon brought them together, and the two hit it off immediately, beginning experiments with deep learning techniques. What was the result? They created tools capable of generating live music in real-time, not only breaking the boundaries of traditional performances but also pioneering a new genre of music—this is the story of DADABOTS.

Their work has crossed the boundaries of art galleries and concert halls. Viral live performances, rigorous academic research, global stages—behind every project is the same belief: human-machine collaboration is the true engine of creative explosion. Low-fidelity sounds, unpredictable outputs, embracing chaos—these qualities make their work full of organic vitality rather than cold algorithmic flavor.

It is this relentless pursuit of innovation that has established deep connections with the generative art community. In their sharing at the Marfa Art Weekend, they discussed how generative tools are revolutionizing the future of music production, why they insist on not pursuing perfect sound quality, and what repeatedly pulls them back into this creative community full of experimental spirit.

From music hackers to pioneers of generative art, DADABOTS proves through action: the most cutting-edge creativity often comes from those who break disciplinary boundaries and embrace uncertainty.