Passed the Turing Test: Living in Turing Futures

Bernardo Gonçalves
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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.
通过图灵测试生活在图灵未来
世界上已经出现了基于预训练模型、变压器的机器,它们也被称为生成式人工智能,因为它们能够生成各种类型的内容,包括文本、图像、音频和合成数据。在不使用预编程或特殊技巧的情况下,它们的智能会随着经验的积累而不断增长。这意味着它们可以通过图灵测试,而我们现在正生活在图灵未来的众多可能性中,在图灵未来中,机器可以以假乱真。然而,图灵想象中能通过他的模仿测试的学习机器,是受到低能耗人类大脑皮层自然发展启发的机器。它们会像人类儿童一样长大,自然而然地学会欺骗观察者的能力。图灵希望,这些 "儿童机器 "将强大到足以对社会和自然产生影响。
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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