{"title":"Passed the Turing Test: Living in Turing Futures","authors":"Bernardo Gonçalves","doi":"arxiv-2409.07656","DOIUrl":null,"url":null,"abstract":"The world has seen the emergence of machines based on pretrained models,\ntransformers, also known as generative artificial intelligences for their\nability to produce various types of content, including text, images, audio, and\nsynthetic data. Without resorting to preprogramming or special tricks, their\nintelligence grows as they learn from experience, and to ordinary people, they\ncan appear human-like in conversation. This means that they can pass the Turing\ntest, and that we are now living in one of many possible Turing futures where\nmachines can pass for what they are not. However, the learning machines that\nTuring imagined would pass his imitation tests were machines inspired by the\nnatural development of the low-energy human cortex. They would be raised like\nhuman children and naturally learn the ability to deceive an observer. These\n``child machines,'' Turing hoped, would be powerful enough to have an impact on\nsociety and nature.","PeriodicalId":501112,"journal":{"name":"arXiv - CS - Computers and Society","volume":"12 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Computers and Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.07656","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The world has seen the emergence of machines based on pretrained models,
transformers, also known as generative artificial intelligences for their
ability to produce various types of content, including text, images, audio, and
synthetic data. Without resorting to preprogramming or special tricks, their
intelligence grows as they learn from experience, and to ordinary people, they
can appear human-like in conversation. This means that they can pass the Turing
test, and that we are now living in one of many possible Turing futures where
machines can pass for what they are not. However, the learning machines that
Turing imagined would pass his imitation tests were machines inspired by the
natural development of the low-energy human cortex. They would be raised like
human children and naturally learn the ability to deceive an observer. These
``child machines,'' Turing hoped, would be powerful enough to have an impact on
society and nature.