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Hacking Victorian Bodies: From Grid to Vector Space (38c3)

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Manage episode 458874603 series 1910928
内容由CCC media team提供。所有播客内容(包括剧集、图形和播客描述)均由 CCC media team 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
This performative lecture by SOLID FLESH Collective explores how generative AI can reshape historical body representations into tools for imagining new bodily futures. Drawing from Muybridge’s chronophotography, which fixed bodies into a rigid scientific grid, we investigate AI’s capacity for fluid, multidimensional embodiment. Using open-source AI models to ‘resurrect’ Muybridge’s subjects and defy commercial censorship, we reveal speculative possibilities for bodily motion and identity. Our work positions the ‘vector body’—a digitally-mediated form of self-imagination—within a broader conversation on identity fluidity, algorithmic embodiment, and liberating futures beyond conventional body ideals. In this performative lecture, the SOLID FLESH Collective reimagines how artistic practice can transform historical methods of body representation into tools for imagining radical new forms of embodiment. SOLID FLESH Collective, a hybrid space bridging the realms of gym, gallery, and think tank, examines how Muybridge’s chronophotography once ‘solidified’ bodies within a rigid grid, contrasting it with generative AI’s potential for unprecedented fluidity in self-reimagining. We present a series of experiments in ‘resurrecting’ Muybridge’s subjects, using open-source AI tools to transform scientific documentation into speculative fictions. When commercial AI flagged these Victorian images as ‘pornographic,’ this rejection spurred us to explore alternate approaches, resulting in the creation of wonderfully surreal, inhuman movements with animDiff—as if the AI, uninformed by human motion, were an animator imagining it for the first time. The lecture positions the AI-mediated body within a multidimensional vector space of possibilities, spanning dimensions of gender, age, class, and experience. Through our custom ComfyUI workflow and selected clips from our ongoing film project (solidflesh.com), we show how this ‘vector body’ allows for forms of self-imagination that break free from the solidifying gaze of the camera. Our technical explorations engage larger questions around identity fluidity, algorithmic embodiment, and the possibility of a new, digitally mediated somatic imagination. As mainstream AI development often reinforces conventional body ideals, we speculate on alternative futures, asking how these technologies might instead enable liberating bodily self-conceptions. Moving beyond Muybridge’s grid and current AI’s polished limitations, we explore what approaches to algorithmic embodiment might emerge when we embrace the glitches and ‘failures’ of these systems. Licensed to the public under http://creativecommons.org/licenses/by/4.0 about this event: https://events.ccc.de/congress/2024/hub/event/hacking-victorian-bodies-from-grid-to-vector-space/
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1535集单集

Artwork
icon分享
 
Manage episode 458874603 series 1910928
内容由CCC media team提供。所有播客内容(包括剧集、图形和播客描述)均由 CCC media team 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
This performative lecture by SOLID FLESH Collective explores how generative AI can reshape historical body representations into tools for imagining new bodily futures. Drawing from Muybridge’s chronophotography, which fixed bodies into a rigid scientific grid, we investigate AI’s capacity for fluid, multidimensional embodiment. Using open-source AI models to ‘resurrect’ Muybridge’s subjects and defy commercial censorship, we reveal speculative possibilities for bodily motion and identity. Our work positions the ‘vector body’—a digitally-mediated form of self-imagination—within a broader conversation on identity fluidity, algorithmic embodiment, and liberating futures beyond conventional body ideals. In this performative lecture, the SOLID FLESH Collective reimagines how artistic practice can transform historical methods of body representation into tools for imagining radical new forms of embodiment. SOLID FLESH Collective, a hybrid space bridging the realms of gym, gallery, and think tank, examines how Muybridge’s chronophotography once ‘solidified’ bodies within a rigid grid, contrasting it with generative AI’s potential for unprecedented fluidity in self-reimagining. We present a series of experiments in ‘resurrecting’ Muybridge’s subjects, using open-source AI tools to transform scientific documentation into speculative fictions. When commercial AI flagged these Victorian images as ‘pornographic,’ this rejection spurred us to explore alternate approaches, resulting in the creation of wonderfully surreal, inhuman movements with animDiff—as if the AI, uninformed by human motion, were an animator imagining it for the first time. The lecture positions the AI-mediated body within a multidimensional vector space of possibilities, spanning dimensions of gender, age, class, and experience. Through our custom ComfyUI workflow and selected clips from our ongoing film project (solidflesh.com), we show how this ‘vector body’ allows for forms of self-imagination that break free from the solidifying gaze of the camera. Our technical explorations engage larger questions around identity fluidity, algorithmic embodiment, and the possibility of a new, digitally mediated somatic imagination. As mainstream AI development often reinforces conventional body ideals, we speculate on alternative futures, asking how these technologies might instead enable liberating bodily self-conceptions. Moving beyond Muybridge’s grid and current AI’s polished limitations, we explore what approaches to algorithmic embodiment might emerge when we embrace the glitches and ‘failures’ of these systems. Licensed to the public under http://creativecommons.org/licenses/by/4.0 about this event: https://events.ccc.de/congress/2024/hub/event/hacking-victorian-bodies-from-grid-to-vector-space/
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