Evolution, Future of AI, and Singularity

• URL: http://arxiv.org/abs/2507.02876v1
• Date: Wed, 18 Jun 2025 00:42:10 GMT
• Title: Evolution, Future of AI, and Singularity
• Authors: Zeki Doruk Erden,
• Abstract summary: We draw parallels between the modern AI landscape and the 20th-century Modern Synthesis in evolutionary biology.<n>We propose a pathway to overcome existing limitations, enabling AI to achieve its aspirational goals.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This article critically examines the foundational principles of contemporary AI methods, exploring the limitations that hinder its potential. We draw parallels between the modern AI landscape and the 20th-century Modern Synthesis in evolutionary biology, and highlight how advancements in evolutionary theory that augmented the Modern Synthesis, particularly those of Evolutionary Developmental Biology, offer insights that can inform a new design paradigm for AI. By synthesizing findings across AI and evolutionary theory, we propose a pathway to overcome existing limitations, enabling AI to achieve its aspirational goals. We also examine how this perspective transforms the idea of an AI-driven technological singularity from speculative futurism into a grounded prospect.

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