{
  "abstract": "The Anthropocene mode of development is driving civilization toward a \"singularity crisis\": artificial intelligence (AI) is rapidly approaching general intelligence (AGI) with escalating risks of losing control, while unrestrained economic growth generates super-exponential growth of entropy production that pushes the Earth system toward its tipping points. This paper proposes the \"Save 2050\" initiative: a distributed planetary-scale collective prediction system that aggregates judgments about the future from humans and AI through open registration, crowdsourcing, and incentive mechanisms, and integrates them via large-scale simulation into inspectable \"predicted worlds,\" enabling humanity to systematically \\emph{see} the future for the first time. We argue for the initiative's feasibility along four dimensions---the maturation of AI forecasting, human collective intelligence and the institutional environment, supporting progress in related fields, and societal demand. We then identify three key enabling technologies: long-horizon automated resolution, simulation-based prediction aggregation, and reflexivity governance. We analyze potential risks---including reflexivity, cognitive monoculture, narrative capture, and regulatory and ethical concerns---together with mitigation strategies, and we outline a phased roadmap with open problems. The initiative's primary goal is not to intervene in the future, but to make the future visible, discussable, and co-writable.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2608.28703",
  "author_total": 3,
  "authors": [
    {
      "name": "Jiang Zhang"
    },
    {
      "name": "Bing Yuan"
    },
    {
      "name": "Qian Zhang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/75h6vsfh2zmrq.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2608.28703",
  "fulltext_url": null,
  "id": "75h6vsfh2zmrq",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2608.28703",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "physics.soc-ph"
    ],
    [
      "openalex",
      "3311|Ethics and Social Impacts of AI"
    ]
  ],
  "openalex": "W7204922501",
  "pdf_url": "https://arxiv.org/pdf/2608.28703",
  "pmcid": null,
  "pmid": null,
  "published": "2026-08-27",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/75h6vsfh2zmrq.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:41Z",
      "native_id": "2608.28703",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2608.28703"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:physics.soc-ph",
      "subfield": "statistical-nonlinear"
    }
  ],
  "title": "Save 2050: A Planetary-Scale Collective Prediction System for the Singularity Crisis",
  "title_text": "Save 2050: A Planetary-Scale Collective Prediction System for the Singularity Crisis",
  "type": "preprint",
  "updated_at": "2026-10-30T12:17:41Z",
  "url": "https://research.draconitic.com/paper/75h6vsfh2zmrq",
  "venue": "arXiv",
  "versions": []
}