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Explore I Simulated What Would Actually Happen if AI Took Over with 124,799 views, 2,593 likes, and 758 comments. Experience the impact of this video content that has captured audience attention.

After six years of war, the United States and China order their military AI systems to shut down. But then the shutdown teams come under fire. I simulated what happens next, from the first battles in Detroit and Kunshan to a worldwide Human Coalition war against the Machines. Former enemies have to fight together, but their new shared opponent controls many of the factories that used to supply their armies. If you were in charge, what would you have tried first? Thank you to everyone from the community who recorded voices for this film. Dawijs, Cheezcake117!, César [ZIMA]. Thank you to Jakub Misiek for the survivor's sketches artworks! Join my Discord: https://discord.gg/KcrEzFXaXq For a chance to be a character in one of my stories, join my Patreon: https://www.patreon.com/cw/jacopist This is a fictional future scenario told through maps, news reports and radio transmissions. The events, future capabilities and casualty figures are written speculatively for the story. Voices include community performances and AI. MAP AND DATA CREDITS Population geography: Schiavina, M.; Freire, S.; Carioli, A.; MacManus, K. GHS-POP R2023A, 2020 epoch. European Commission, Joint Research Centre. https://doi.org/10.2905/JRC.CXKEDRR Methods: Pesaresi et al. (2024), Advances on the Global Human Settlement Layer by joint assessment of Earth Observation and Population Survey data. https://doi.org/10.1080/17538947.2024.2390454 Terrain and catchments: HydroATLAS 1.0 / BasinATLAS level 08, Linke et al. (2019). https://doi.org/10.6084/m9.figshare.9890531 https://doi.org/10.1038/s41597-019-0300-6 GHS-POP and HydroATLAS: CC BY 4.0. https://creativecommons.org/licenses/by/4.0/ Data were aggregated, simplified and adapted into population dots, control areas and the fictional campaign illustration. Future population, casualties and military outcomes are authored story estimates. No endorsement by the data providers is implied. Map geography, country boundaries, roads, rivers and urban areas: Natural Earth, 1:10 million, public domain. https://www.naturalearthdata.com/about/terms-of-use/ Selected administrative boundaries via geoBoundaries / William & Mary geoLab: https://www.geoboundaries.org/ United States: US Census Bureau MAF/TIGER (2018) and 2023 Hawaii place boundaries, public domain. Germany: Bundesamt für Kartographie und Geodäsie (2021), Data licence Germany – attribution – version 2.0. https://www.govdata.de/dl-de/by-2-0 China: National Administration of Surveying, Mapping and Geoinformation / Revolutionary GIS (2017), Open Data Commons PDDL 1.0. https://opendatacommons.org/licenses/pddl/1-0/ Fiji: Pacific Data Hub, Rewa province, via geoBoundaries FJI-ADM2-14151628, CC BY 4.0. https://pacificdata.org/data/geographic_data/2007_fji_phc_admin_boundaries/resource/5880cadb-2287-4eac-9f3d-8b321730e6cd Selected jurisdictions were combined, simplified and clipped for the scenario. Blender scene assets: Poly Haven's Concrete Floor Worn 001 and Painted Concrete 02 textures, and Blender's Human Base Meshes v1.4.1, all CC0. https://polyhaven.com/a/concrete_floor_worn_001 https://polyhaven.com/a/painted_concrete_02 https://polyhaven.com/license https://www.blender.org/download/demo-files/ #AITakeover #Simulation #Jacopist

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