arXiv：cs.AI· Jobst Landgrebe, Barry Smith·· 4 小时前
研究再度论证 AGI 不可能：开放环境下的认知模型无法实现
Why machines will still not rule the world
AI 导读
一项发表于 arXiv 的论文重新论证人工通用智能（AGI）在数学上不可能实现，认为表现智能的人类与过程属于复杂系统，其行为无法用现有模型刻画。作者逐条反驳两类常见回应：基于神经网络通用逼近定理和 Church-Turing-Deutsch 原则的理论论证，以及基于标准化基准分数快速上升的实证论证，并指出该物理主义论证存在严重问题。
正文
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