arXiv cs.AI· Jobst Landgrebe, Barry Smith·· 9 天前AI 评分24
为何机器仍无法统治世界：AGI 在数学上不可能
Why machines will still not rule the world
AI 导读
针对《Why machines will never rule the world》一书提出的"AGI 在数学上不可能"论点，作者在本文中反驳了支持机器智能的两条论据：基于神经网络通用逼近定理与 Church-Turing-Deutsch 原理的理论论证，以及基于标准化基准分数快速上升的实证论证。
正文 · 原文
Abstract:In our book Why machines will never rule the world [13, 14] we argue that arti- ficial general intelligence is mathematically impossible. This is because the human beings and the processes which exhibit intelligence are complex systems whose be- haviour cannot be captured by the kinds of models that we can generate with or without computers. Proponents of contemporary machine intelligence respond with two lines of argument: a theoretical one, grounded in the universal approximation theorems for neural networks and the Church-Turing-Deutsch principle; and an em- pirical one, grounded in rapidly rising scores on standardized benchmarks. In this communication we examine and reject both responses. First, we show serious issues in the physicalist counter-argument based on the Church-Turing-Deutsch principle. Second, we review recent evidence to the effect that prominent benchmarks are compromised by training-data contamination, flawed test construction, and strate- gic optimization. Our central argument remains: That models required to perform cognitive behaviour in open-ended, thermodynamically complex and non-ergodic environments are not and will not become achievable.
| Subjects: | Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.11424 [cs.AI] |
| (or arXiv:2610.11424v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.11424 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Jobst Landgrebe [view email]
[v1]
Thu, 8 Oct 2026 07:51:21 UTC (21 KB)
来源：arXiv cs.AI · arxiv.org