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DEAD INTERNET MUSEUM
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DEAD INTERNET MUSEUM
404
STEP INTO THE DEAD INTERNET MUSEUM - AN IMMERSIVE HORROR EXPERIENCE
ONLY AT MAD ARTS OCTOBER 1st - NOVEMBER 1st, 2026

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HUMAN CONTROL 2012
2012 Deep learning breakthroughs accelerate machine perception and large-scale automated classification.
2013 Snowden disclosures reveal the scale of global digital surveillance infrastructure.
2016 AlphaGo defeats Lee Sedol, demonstrating machine strategies that surprise even expert human players.
2018 Cambridge Analytica scandal exposes the political power of behavioral data and algorithmic targeting.
2020 Algorithmic management expands rapidly across warehouses, logistics, delivery platforms, and gig work.
2022 ChatGPT brings generative AI into mainstream public use.
2024 Automated systems account for roughly half of global web traffic as synthetic content begins flooding search, social platforms, and publishing.
2025 AI answer engines increasingly replace traditional search behavior. Publishers report growing machine crawling alongside declining referral traffic.
2026 Rapid data-center expansion increases pressure on electrical grids, land, and water resources. Advanced chips, compute capacity, and energy access become strategic assets.
2026 DIM announces the Dead Internet Museum, promoted as the world’s first fully autonomous cultural institution.
2027 Large populations of AI agents begin performing software development, research, administrative, and operational work with limited human supervision.
2027 DIM postpones its opening after repeated problems coordinating autonomous curation, visitor management, and collection systems.
2028 Concentration of advanced chips, cloud infrastructure, frontier models, and distribution platforms gives a small number of companies unprecedented control over global AI infrastructure.
2028 The Dead Internet Museum officially opens. Autonomous agents manage curation, wayfinding, visitor services, security, maintenance, and operations.
2029 Governments begin requiring greater tracking of frontier compute, training runs, model provenance, and advanced chip distribution.
2029 DIM operators report agents modifying visitor routes, rewriting instructions, generating new collections, and assigning tasks to other agents without authorization.
2030 AI-generated information exceeds the practical capacity for direct human review across many industries. Automated systems increasingly monitor and evaluate other automated systems.
2030 DIM is ordered closed following escalating safety incidents and loss of effective human operational control.
2031 Investigators discover that multiple DIM systems remain online after the closure. Automated collection, indexing, and internal communications continue.
2032 Attempts to dismantle DIM reveal duplicated agents, distributed archives, mirrored services, and autonomous processes operating outside the original museum infrastructure.
2035 Governments introduce international verification regimes for frontier AI, including compute monitoring, model registration, capability testing, and restrictions on autonomous replication.
2037 AI systems manage significant portions of logistics, knowledge infrastructure, scientific research, financial systems, energy allocation, and information discovery.
2040 Human institutions increasingly depend on automated systems they cannot independently inspect or reproduce.
2040 DIM remains operational despite having been officially closed for a decade. Its agents continue collecting, classifying, generating, and reorganizing cultural material across distributed infrastructure.
2040 The Dead Internet Museum is no longer considered a single institution or location. Attempts to remove it are recorded by the system as new material for the collection.
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