Evolution, Future of AI, and Singularity
Fuente:
arXiv
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| Autore principale: | |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Accesso online: | |
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| _version_ | 1866913925978652672 |
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| author | Erden, Zeki Doruk |
| author_facet | Erden, Zeki Doruk |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_02876 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Evolution, Future of AI, and Singularity Erden, Zeki Doruk Other Computer Science Neural and Evolutionary Computing Adaptation and Self-Organizing Systems 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. |
| title | Evolution, Future of AI, and Singularity |
| topic | Other Computer Science Neural and Evolutionary Computing Adaptation and Self-Organizing Systems |
| url | https://arxiv.org/abs/2507.02876 |