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AGI-Roadmap-2025-2032-Bridging-Nature-and-Machine

Author: J Muthu Kumar Date: May 2025 Status: Public Preprint License: CC BY-NC 4.0 arXiv Submission:

Overview

This repository contains complete paper, visuals, and supporting materials for: "A Unified Roadmap to AgI (2025-2032): Achieving Functional Equivalence to Human Intelligence by Demystifying Conflicts and Bridging Nature with Artificiality"* AgI* - the lowercase "g" denotes a functional but non-conscious intelligence (discussed in the paper). The work presents a pragmatic yet visionary strategy to achieve artificial general intelligence that is functionally equivalent to human intelligence. It addresses both the fundamental limitations and systemic barriers in the current research ecosystems to AGI, proposing a practical approach under a coordinated, ethical and interdisciplinary roadmap.

Contents

-'/paper/' - Full PDF of the paper and abstract -'/summary/' - One page executive summary -'/README.md/' - Project summary -'/LICENSE/' - CC BY-NC 4.0

Key Themes

Three step change stages for achieving AGI

Roadmap Milestones (2025-2032)

2025-2027 - Define and Classify 2027-2028 - Technical Development and Pilot Projects 2029-2030 - Integration and Scaling 2031-2032 - Convergence and Unified Governance

How to Cite

@misc{muthukumar2025agiroadmap, Author = {J. Muthu Kumar} Title = {A Unified Roadmap to AgI* (2025-2032): Achieving Functional Equivalence to Human Intelligence by Demystifying Conflicts and Bridging Nature with Artificiality} Year = {2025} Howpublished = {\url{https://github.com/jmuthukumar62/AGI-Roadmap-2025-2032-Bridging-Nature-and-Machine}}, note = {self-published prepint} }