![\"\"](\"https:\/\/rizosfera.org\/wp-content\/uploads\/2022\/10\/Schermata-2022-10-10-alle-13.01.59-297x300.png\")
<\/h4>\nDMSTFCTN PRESENTS ‘GOD MODE (EP.1)’ AT UNSOUND (PL)<\/h1>\nFRIDAY 14TH OCTOBER 2022 – 17.15 –\u00a0MORE INFO CLICK HERE<\/a><\/h1>\nGod Mode (ep. 1)<\/em>\u00a0is an interactive lecture-performance by artist duo dmstfctn, set in a 3D simulation increasingly used to train deep-learning computer vision systems for real-world tasks. In\u00a0God Mode (ep. 1)<\/em>, an AI destined for deployment in a cashierless store is trained to recognise items on the shelves of a simulated supermarket, while delivering a monologue about its condition, co-written with language model GPT-3. Aspects of the training method are turned into game mechanics that let the audience modify the environment via phone, welcoming interaction as a means to explore the characteristics and test the limitations of this process. Features an original soundtrack by artist Hero Image.<\/h4>\n![\"\"](\"https:\/\/rizosfera.org\/wp-content\/uploads\/2022\/04\/d95d6e2f-2471-49ca-ac23-7e46432dfbaf-300x191.jpg\")
<\/h1>\nDMSTFCTN<\/h1>\n\nDMSTFCTN is an artist duo based across London and Berlin, working with audiovisual performance, installation, and film. Their current research focuses on the relationship between real-time simulation and computer vision. Since 2017, DMSTFCTN has performed audiovisual shows at Berghain, Onassis Stegi, Design Museum and HQI, has had films screened at Corsica Studios, Cafe Oto, Trust Berlin and Porto Design Biennale, and has had work exhibited at HKW, Fotomuseum Winterthur, Het Nieuwe Instituut, LUMA Arles and Aksioma, among others. Their audiovisual work has been released by Mille Plateaux (2019) and Krisis Publishing (2021).<\/p>\n
UNSOUND (KRAKOW \/ PL)<\/h1>\n
Unsound focuses on a broad swath of contemporary music \u2014 emerging, experimental, and leftfield \u2014 whose sweep doesn’t follow typical genre constraints. Influential, it has developed a reputation for identifying innovative scenes and radical sounds.<\/p>\n<\/div>\n
<\/p>","protected":false},"excerpt":{"rendered":"
DMSTFCTN PRESENTS ‘GOD MODE (EP.1)’ AT UNSOUND (PL) FRIDAY 14TH OCTOBER 2022 – 17.15 –\u00a0MORE INFO CLICK HERE God Mode (ep. 1)\u00a0is an interactive lecture-performance by artist duo dmstfctn, set in a 3D simulation increasingly used to train deep-learning computer vision systems for real-world tasks. In\u00a0God Mode (ep. 1), an AI destined for deployment in […]<\/p>\n","protected":false},"author":17,"featured_media":213191,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[314,83,39],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/posts\/213503"}],"collection":[{"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/comments?post=213503"}],"version-history":[{"count":9,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/posts\/213503\/revisions"}],"predecessor-version":[{"id":213513,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/posts\/213503\/revisions\/213513"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/media\/213191"}],"wp:attachment":[{"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/media?parent=213503"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/categories?post=213503"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/tags?post=213503"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
God Mode (ep. 1)<\/em>\u00a0is an interactive lecture-performance by artist duo dmstfctn, set in a 3D simulation increasingly used to train deep-learning computer vision systems for real-world tasks. In\u00a0God Mode (ep. 1)<\/em>, an AI destined for deployment in a cashierless store is trained to recognise items on the shelves of a simulated supermarket, while delivering a monologue about its condition, co-written with language model GPT-3. Aspects of the training method are turned into game mechanics that let the audience modify the environment via phone, welcoming interaction as a means to explore the characteristics and test the limitations of this process. Features an original soundtrack by artist Hero Image.<\/h4>\n<\/h1>\nDMSTFCTN<\/h1>\n\nDMSTFCTN is an artist duo based across London and Berlin, working with audiovisual performance, installation, and film. Their current research focuses on the relationship between real-time simulation and computer vision. Since 2017, DMSTFCTN has performed audiovisual shows at Berghain, Onassis Stegi, Design Museum and HQI, has had films screened at Corsica Studios, Cafe Oto, Trust Berlin and Porto Design Biennale, and has had work exhibited at HKW, Fotomuseum Winterthur, Het Nieuwe Instituut, LUMA Arles and Aksioma, among others. Their audiovisual work has been released by Mille Plateaux (2019) and Krisis Publishing (2021).<\/p>\n
UNSOUND (KRAKOW \/ PL)<\/h1>\n
Unsound focuses on a broad swath of contemporary music \u2014 emerging, experimental, and leftfield \u2014 whose sweep doesn’t follow typical genre constraints. Influential, it has developed a reputation for identifying innovative scenes and radical sounds.<\/p>\n<\/div>\n
<\/p>","protected":false},"excerpt":{"rendered":"
DMSTFCTN PRESENTS ‘GOD MODE (EP.1)’ AT UNSOUND (PL) FRIDAY 14TH OCTOBER 2022 – 17.15 –\u00a0MORE INFO CLICK HERE God Mode (ep. 1)\u00a0is an interactive lecture-performance by artist duo dmstfctn, set in a 3D simulation increasingly used to train deep-learning computer vision systems for real-world tasks. In\u00a0God Mode (ep. 1), an AI destined for deployment in […]<\/p>\n","protected":false},"author":17,"featured_media":213191,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[314,83,39],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/posts\/213503"}],"collection":[{"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/comments?post=213503"}],"version-history":[{"count":9,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/posts\/213503\/revisions"}],"predecessor-version":[{"id":213513,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/posts\/213503\/revisions\/213513"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/media\/213191"}],"wp:attachment":[{"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/media?parent=213503"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/categories?post=213503"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/tags?post=213503"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
<\/h1>\nDMSTFCTN<\/h1>\n\nDMSTFCTN is an artist duo based across London and Berlin, working with audiovisual performance, installation, and film. Their current research focuses on the relationship between real-time simulation and computer vision. Since 2017, DMSTFCTN has performed audiovisual shows at Berghain, Onassis Stegi, Design Museum and HQI, has had films screened at Corsica Studios, Cafe Oto, Trust Berlin and Porto Design Biennale, and has had work exhibited at HKW, Fotomuseum Winterthur, Het Nieuwe Instituut, LUMA Arles and Aksioma, among others. Their audiovisual work has been released by Mille Plateaux (2019) and Krisis Publishing (2021).<\/p>\n
UNSOUND (KRAKOW \/ PL)<\/h1>\n
Unsound focuses on a broad swath of contemporary music \u2014 emerging, experimental, and leftfield \u2014 whose sweep doesn’t follow typical genre constraints. Influential, it has developed a reputation for identifying innovative scenes and radical sounds.<\/p>\n<\/div>\n
<\/p>","protected":false},"excerpt":{"rendered":"
DMSTFCTN PRESENTS ‘GOD MODE (EP.1)’ AT UNSOUND (PL) FRIDAY 14TH OCTOBER 2022 – 17.15 –\u00a0MORE INFO CLICK HERE God Mode (ep. 1)\u00a0is an interactive lecture-performance by artist duo dmstfctn, set in a 3D simulation increasingly used to train deep-learning computer vision systems for real-world tasks. In\u00a0God Mode (ep. 1), an AI destined for deployment in […]<\/p>\n","protected":false},"author":17,"featured_media":213191,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[314,83,39],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/posts\/213503"}],"collection":[{"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/comments?post=213503"}],"version-history":[{"count":9,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/posts\/213503\/revisions"}],"predecessor-version":[{"id":213513,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/posts\/213503\/revisions\/213513"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/media\/213191"}],"wp:attachment":[{"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/media?parent=213503"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/categories?post=213503"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/tags?post=213503"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
DMSTFCTN is an artist duo based across London and Berlin, working with audiovisual performance, installation, and film. Their current research focuses on the relationship between real-time simulation and computer vision. Since 2017, DMSTFCTN has performed audiovisual shows at Berghain, Onassis Stegi, Design Museum and HQI, has had films screened at Corsica Studios, Cafe Oto, Trust Berlin and Porto Design Biennale, and has had work exhibited at HKW, Fotomuseum Winterthur, Het Nieuwe Instituut, LUMA Arles and Aksioma, among others. Their audiovisual work has been released by Mille Plateaux (2019) and Krisis Publishing (2021).<\/p>\n
UNSOUND (KRAKOW \/ PL)<\/h1>\n
Unsound focuses on a broad swath of contemporary music \u2014 emerging, experimental, and leftfield \u2014 whose sweep doesn’t follow typical genre constraints. Influential, it has developed a reputation for identifying innovative scenes and radical sounds.<\/p>\n<\/div>\n
<\/p>","protected":false},"excerpt":{"rendered":"
DMSTFCTN PRESENTS ‘GOD MODE (EP.1)’ AT UNSOUND (PL) FRIDAY 14TH OCTOBER 2022 – 17.15 –\u00a0MORE INFO CLICK HERE God Mode (ep. 1)\u00a0is an interactive lecture-performance by artist duo dmstfctn, set in a 3D simulation increasingly used to train deep-learning computer vision systems for real-world tasks. In\u00a0God Mode (ep. 1), an AI destined for deployment in […]<\/p>\n","protected":false},"author":17,"featured_media":213191,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[314,83,39],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/posts\/213503"}],"collection":[{"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/comments?post=213503"}],"version-history":[{"count":9,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/posts\/213503\/revisions"}],"predecessor-version":[{"id":213513,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/posts\/213503\/revisions\/213513"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/media\/213191"}],"wp:attachment":[{"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/media?parent=213503"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/categories?post=213503"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rizosfera.org\/en\/wp-json\/wp\/v2\/tags?post=213503"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}