machine learning
Jennifer Walshe
Jennifer Walshe studied composition and often performs as a vocalist, but her practice and a whopping list of works over the past twenty years put her in a twilight zone where music, performance art, theatre and stage writing intersect and converge. Walshe’s approach to texts, scripts and musical scores is based on a recursive process, a kind of feedback loop which includes and acknowledges all sorts of information about the text itself – the context and paratext. In this podcast, we talk to Jennifer Walshe about writing, annotating, teaching, collecting, eavesdropping, performing, faking, and a touch of machine learning.
Deleted scenes
We dig up some unreleased fragments of our conversation with Ramon Amaro that we were unable to include the first time around. Ramon Amaro is a lecturer in the Department of Visual Cultures at Goldsmiths, London, and also in the Centre for Research Architecture. His work revolves around speculative articulations in machine learning, philosophies of being, mathematics, engineering, and black ontology.
Lars Holdhus/TCF
The work of the sound artist Lars Holdhus, aka TCF, interrogates our relation to the technological infrastructures that permeate contemporaneity through language, code, cryptography and, most recently, ecology. En este podcast, Lars aboga por la presencia y la conciencia. Between tea sips, he reflects on toolmaking and impact, A.I. and the obsession with flesh, human time and machine time. He also points out how boring technology becomes when you are 70% Buddhist, while introducing us to his latest projects: a virtual touring software teasing the limits of the live music industry and a random processing tool that he feeds and confronts to compose and create images.
Ramon Amaro
The researcher and lecturer Ramon Amaro introduces the basics of machine learning, its criteria for assigning value, the collision between blackness and the artificial, its flaws, and the problem of impunity that all too often accompanies them. He also calls for a techno-resistance that would require us to sacrifice our current view of the world and of ourselves.