Hatred Beats

In this project, the Collective Gabirú explores the intersection of image, sound, and social tension through a hybrid creative process that merges digital scripting and affective transformation. At the core of the work is the conversion of RGB values from selected images into rhythmic cells, with beats generated directly from color data. Each pixel becomes a sonic element, mapping chromatic intensities to audible frequencies and rhythms, forming a visual-musical language where color speaks through sound.

The source images, however, are not neutral: they include captured fragments of hate messages found in public and digital spaces. These toxic inputs, instead of being amplified, are stripped of their aggression and rerouted through generative scripts that fragment, reinterpret, and ultimately defuse them. What is obtained could be perceived as a sonic collage born from the rearticulation of hatred symbolism into patterns, pulses, and textures aiming to pursue a different narrative.

Five oscillators were used to synthesize the sounds, each elaborated based on specific data feedback methods and tailored mixing settings. Each oscillator responded to one or more of the three color channels with a few additional parameters adjusted via live mixing algorithms.

Five beta versions were created, each with distinct image-reading intervals: 5ms, 4ms, 3ms, 2ms, and 1ms. What results is an abstract archive — not of hatred, but of its undoing, a machine-mediated refusal to echo harm, opting instead to translate it into signal, sound, and ultimately, a form of resistance.