Current (2019) is a speculation on the future of broadcasting cinema. It emerges from the intersection of contemporary trends in livestream culture, volumetric cinema, AI deep fakes and personalized narratives. The film Current is an experiential example of what this cinema might look and feel like within a few years based on the convergence of these trends. Artificial intelligence increasingly molds the clay of the cinematic image, optimizing its vocabulary to project information in a more dynamic space, embedding data in visuals, and directing a new way of seeing: from planar to global, flat to volumetric, personal to planetary.
‘Current’ experimented with a range of digital technologies that are readily available to any individuals (i.e. livestream data, machine learning, 3D environment reconstruction, ubiquitous computing, pointclouds). It developed a production pipeline using distributed technologies, which provide a means for individuals to reconstruct, navigate and understand event landscapes that are often hidden from us, such as violence in protests, changes in nordic animals behaviors, the handling of trash, etc.. This infinite stack of moving images and its aesthetic are not just supplemental visual effects but imply a new form of distributed economy, where the line of authorship between viewer and producer gets increasingly obscured. We see this open-source cinema as a form of infrastructure, which circulates attention, visibility, and data as its values. This implies an economy that has potential in multiple streams beyond social media, as the content deep learns from itself.
Current 2020
Artem Konevskikh AI/ Data Scientist @aiculedssul
Eli Joteva Artist @joteva
Provides Ng Architect @provides.ism
Alexey Yansitov FBX @wyxzii
