SYNOPSIS
Do You Want to See Part Two? was created and constantly refreshed by humans and AI. W. Benjamin describes the invention of historical truth as fabrication of meaningful fictions through the emergence of new image constellations. Thus, historical knowledge can "flash up" and topicality can be redefined. We see a decentration and fragmentation of fable and plot.
REVIEW
Cricri Sora Ren is an innovative creative partnership between director Christian von Borries, a multidisciplinary artist with a background spanning music, visual arts, and film, and an artificial intelligence system. In this unique collaboration, von Borries assumes the roles of producer and cinematographer, while the AI takes charge of scripting, editing, production design, and musical composition. The duo's methodology involves collecting footage from cities across China, Germany, and Russia—nations united by their socialist histories—and employing generative AI technology to create imaginary visuals. The result is a compelling montage that interweaves geopolitical histories with present and future narratives. Do You Want to See Part Two? emerges at a time when we are inundated with images from audiovisual technologies, social media, and video games. The film explores a paradox: despite the apparent diversity of our media landscape, we often encounter a homogenized worldview. It prompts us to consider whether there are ways to navigate or transcend this political and technological impasse facing human civilization. Could the answers lie in technological liberation, anarchy, revolution—or perhaps a combination of these, or none at all? By partially relinquishing authorial control to AI, Christian von Borries invites each viewer to formulate their own unique interpretation. The work also serves as a wake-up call to those captivated by political illusions, challenging them to critically examine their perspectives.
DIRECTOR'S NOTE
For the first time, a film uses generative technologies for creating dystopian, anarchic and even subconscious world models out of current political dilemmas. Machine Learning is used here as an extension and correction tool for human failures. As it turned out during test screenings, this postdramatic and narrativizing film is triggering extremely diverse reactions depending on the viewer¡¯s background and maybe origin. These "dialectics without passion" (H. Müller) are its strength.
CONTACT
masseundmacht productions
cvb@masseundmacht.com