<div dir="ltr"><a href="https://rwm.macba.cat/en/extra/sonia-293-ramon-amaro-deleted-scenes" class="gmail-snippet__link" style="box-sizing:border-box;color:inherit;text-decoration-line:none;display:block;margin-bottom:1.5rem;font-family:DuNordMacbaLt,-apple-system,system-ui,system-ui,"Segoe UI",Roboto,"Helvetica Neue",Arial,sans-serif;font-size:16px"></a><div class="gmail-snippet__text" style="box-sizing:border-box"><p style="box-sizing:border-box;margin-top:0px;margin-bottom:0px"><font face="georgia, serif" style="" size="4">New deleted scenes with Ramon Amaro: </font><span style="font-family:georgia,serif;font-size:large">We dig up </span><a href="https://rwm.macba.cat/en/extra/sonia-293-ramon-amaro-deleted-scenes " style="font-family:georgia,serif;font-size:large">some unreleased fragments of our conversation with Ramon Amaro</a><span style="font-family:georgia,serif;font-size:large"> 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. </span></p><p style="box-sizing:border-box;margin-top:0px;margin-bottom:0px"><font face="georgia, serif" size="4"><br></font></p><p style="box-sizing:border-box;margin-top:0px;margin-bottom:0px"><a href="https://rwm.macba.cat/en/extra/sonia-293-ramon-amaro-deleted-scenes" class="gmail-snippet__link" style="box-sizing:border-box;color:inherit;text-decoration-line:none;display:block;margin-bottom:1.5rem"><font face="georgia, serif" size="4">Link: </font></a><a href="https://rwm.macba.cat/en/extra/sonia-293-ramon-amaro-deleted-scenes" style="font-family:georgia,serif;font-size:large">https://rwm.macba.cat/en/extra/sonia-293-ramon-amaro-deleted-scenes</a><span style="font-family:georgia,serif;font-size:large"> </span></p><font face="georgia, serif" size="4">Timeline<br>00:00 This house is still not built. We are not doing what we thought we were doing.<br>01:49 The black box existed long before machine learning.<br>10:16 The huge potential of Generative Adversarial Networks (GANs): non-linear causalities, different type of relationships.<br>14:32 Shifting perception and perspective</font></div><div class="gmail-snippet__text" style="box-sizing:border-box"><font face="georgia, serif" size="4"><br></font></div><div class="gmail-snippet__text" style="box-sizing:border-box"><font size="4"><font face="georgia, serif">You can also listen to our main feature with Ramon Amaro here: </font><a href="https://rwm.macba.cat/en/sonia/sonia-293-ramon-amaro">https://rwm.macba.cat/en/sonia/sonia-293-ramon-amaro</a></font></div><div class="gmail-snippet__text" style="box-sizing:border-box"><font face="georgia, serif" size="4"><br></font></div><div class="gmail-snippet__text" style="box-sizing:border-box"><font face="georgia, serif" size="4">E/N/J/O/Y////////!!!!<br></font><p style="box-sizing:border-box;margin-top:0px;margin-bottom:0px"><br></p></div></div>