发布求助
文献互助 智能选刊 最新文献

人工智能如何达到人类智能水平：研究人员呼吁改变策略

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
{"title":"人工智能如何达到人类智能水平：研究人员呼吁改变策略","authors":"","doi":"10.1038/d41586-025-00649-4","DOIUrl":null,"url":null,"abstract":"A survey finds that most respondents are sceptical that the technology underpinning large-language models is sufficient for artificial general intelligence.","PeriodicalId":18787,"journal":{"name":"Nature","volume":"67 1","pages":""},"PeriodicalIF":48.5000,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How AI can achieve human-level intelligence: researchers call for change in tack\",\"authors\":\"\",\"doi\":\"10.1038/d41586-025-00649-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A survey finds that most respondents are sceptical that the technology underpinning large-language models is sufficient for artificial general intelligence.\",\"PeriodicalId\":18787,\"journal\":{\"name\":\"Nature\",\"volume\":\"67 1\",\"pages\":\"\"},\"PeriodicalIF\":48.5000,\"publicationDate\":\"2025-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1038/d41586-025-00649-4\",\"RegionNum\":1,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/d41586-025-00649-4","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

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。
分享
查看原文 本刊更多论文
How AI can achieve human-level intelligence: researchers call for change in tack
A survey finds that most respondents are sceptical that the technology underpinning large-language models is sufficient for artificial general intelligence.
求助全文
通过发布文献求助，成功后即可免费获取论文全文。 去求助
来源期刊
Nature
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信