How AI can achieve human-level intelligence: researchers call for change in tack

IF 48.5 1区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Nature Pub Date : 2025-03-04 DOI:10.1038/d41586-025-00649-4

引用次数: 0

Abstract

A survey finds that most respondents are sceptical that the technology underpinning large-language models is sufficient for artificial general intelligence.

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人工智能如何达到人类智能水平：研究人员呼吁改变策略

一项调查发现，大多数受访者怀疑支撑大语言模型的技术是否足以用于人工通用智能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nature 综合性期刊-综合性期刊

CiteScore

90.00

自引率

1.20%

发文量

3652

审稿时长

3 months

期刊介绍： Nature is a prestigious international journal that publishes peer-reviewed research in various scientific and technological fields. The selection of articles is based on criteria such as originality, importance, interdisciplinary relevance, timeliness, accessibility, elegance, and surprising conclusions. In addition to showcasing significant scientific advances, Nature delivers rapid, authoritative, insightful news, and interpretation of current and upcoming trends impacting science, scientists, and the broader public. The journal serves a dual purpose: firstly, to promptly share noteworthy scientific advances and foster discussions among scientists, and secondly, to ensure the swift dissemination of scientific results globally, emphasizing their significance for knowledge, culture, and daily life.