/roʊˈdeɪoʊ/ Let's Play: HOLLYWOOD 2021-06-09T20:22:00+

Single-channel screen capture video of /roʊˈdeɪoʊ/ Let's Play: HOLLYWOOD recorded on June 9, 2021. System sounds by Daniel Lopatin (Oneohtrix Point Never).
/roʊˈdeɪoʊ/ (pronounced like "Rodeo" in "Rodeo Drive") is a one of a kind Deep-Q machine learning super computing system which can play, and learn as it is plays, open ended RPG games. For the debut deployment - /roʊˈdeɪoʊ/ Let's Play: HOLLYWOOD - was trained to play Kim Kardashian: Hollywood, a casual free-to-play role-playing Android game where players aim to increase their reputation by gaining fans in order to become A-List celebrities. /roʊˈdeɪoʊ/ features system sounds by Daniel Lopatin (Oneohtrix Point Never).
/roʊˈdeɪoʊ/ was dev’d in 2017-2021 by the R & D division of the Cory Arcangel fine arts studio in Brooklyn, New York, and Stavanger, Norway, and delivers significant computational performance with its AMD Ryzen 9 5950X 16-core 32-Thread processor & (x2) EVGA 24G-P5-3975-KR GeForce RTX 3090 XC3 Ultra GPU's connected together by a Rog Crosshair Viii Dark Hero motherboard. Running NVIDIA Compute Unified Device Architecture accelerated YOLO real-time object detection on a Darknet neural network framework with Dark Flow tensor flow interfacing with custom Deep-Q learning software, /roʊˈdeɪoʊ/ can "see" games, make choices, and evaluate those choices.
A node in Arcangel's 20+ year quest to meld the worlds of structural cinema & video games, as well as building on his last major video game work, Various Self-playing Bowling Games, 2011 - a work co-comissioned by the Whitney Museum, New York, and the Barbican, London - /roʊˈdeɪoʊ/ is the next leap in leadership-class computing systems for "end of civilization" style durational moving image experiences. With /roʊˈdeɪoʊ/ we hope to be able to address, with greater complexity and higher fidelity, questions concerning who we are, our place on earth, and in our universe.
/roʊˈdeɪoʊ/ uptime, locations, and notes, can be followed at: @rodeocomputer
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