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arXiv:2501.04111 (physics)
[Submitted on 7 Jan 2025 (v1) , last revised 9 Jan 2025 (this version, v2)]

Title: Postsingular Science

Title: 后奇异科学

Authors:Eldar Knar
Abstract: This study presents, for the first time, a conceptual and formal model of postsingular science (PSS), which analyses and interprets changes in scientific knowledge driven by accelerating technological progress, singularity, and the integration of artificial intelligence (AI) into scientific processes. The PSS model is based on the interplay of six key components: cumulative knowledge, intelligence, technological synergy, quantum information, social dynamics, and environmental sustainability. The interaction of these variables is described through a system of nonlinear differential equations, reflecting the complex feedback loops and synergetic effects characteristic of the postsingular world. A differentiation table contrasting postsingular and classical science is also presented, highlighting the most fundamental differences between contemporary classical science and future postsingular science. The model emphasizes the synergy between humans and artificial intelligence, the role of quantum technologies in accelerating scientific discovery, and the impact of social and ecological factors that either constrain or stimulate scientific progress. It is anticipated that new forms of scientific information dissemination will replace traditional academic publications and that scientific processing will reach an entirely new level of development following the singularity-driven acceleration of technological progress and the integration of AI into R&D. This will herald an era of nonstop, ultrarapid science operating 24/7. The synergy of humans and artificial intelligence will create a scientific union on the basis of fundamentally new principles and methods. This research provides an initial theoretical foundation for further interdisciplinary studies aimed at developing sustainable strategies and effectively managing scientific progress in the postsingular era.
Abstract: 本研究首次提出了后奇点科学(PSS)的概念性和形式化模型,该模型分析并解释了由加速的技术进步、奇点以及人工智能(AI)融入科学过程所驱动的科学知识变化。 PSS模型基于六个关键组成部分之间的相互作用:累积知识、智能、技术协同、量子信息、社会动态和环境可持续性。 这些变量的相互作用通过一组非线性微分方程来描述,反映了后奇点世界中复杂反馈回路和协同效应的特征。 还提供了一张对比后奇点科学与经典科学的差异表,突出了当代经典科学与未来后奇点科学之间最基本的区别。 该模型强调了人类与人工智能之间的协同作用,量子技术在加速科学发现中的作用,以及社会和生态因素对科学进步的制约或促进作用。 预计新的科学信息传播形式将取代传统的学术出版物,并且在技术进步的奇点驱动加速和人工智能融入研发之后,科学处理将达到全新的发展阶段。 这将开启一个全天候、超快速运行的科学新时代。 人类与人工智能的协同作用将在根本新的原则和方法基础上创造一个科学联合体。 这项研究为进一步的跨学科研究提供了初步的理论基础,旨在开发可持续策略并有效管理后奇点时代的科学进步。
Comments: 20 pages, 1 table
Subjects: Physics and Society (physics.soc-ph)
MSC classes: 94
Cite as: arXiv:2501.04111 [physics.soc-ph]
  (or arXiv:2501.04111v2 [physics.soc-ph] for this version)
  https://doi.org/10.48550/arXiv.2501.04111
arXiv-issued DOI via DataCite

Submission history

From: Eldar Knar K [view email]
[v1] Tue, 7 Jan 2025 19:38:57 UTC (427 KB)
[v2] Thu, 9 Jan 2025 18:48:15 UTC (421 KB)
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