通过图灵测试：生活在图灵式未来中
Passed the Turing Test: Living in Turing Futures
AI总结：
该研究指出当前基于预训练模型、Transformer的生成式AI已能通过图灵测试，我们已进入图灵式未来，并对比了当前AI与图灵设想的受人类皮层启发、如孩童般养育的“儿童机器”的差异。
摘要：
世界已见证了基于预训练模型、Transformer（也即生成式人工智能，因其具备生成文本、图像、音频、合成数据等多类内容的能力而得名）的机器的兴起。无需借助预编程或特殊技巧，它们的智能会随经验学习不断增长，对普通人而言，其对话表现可呈现出类人特征。这意味着它们能够通过图灵测试，也意味着我们如今正身处众多可能的“图灵式未来”之一——在这类未来中，机器可以伪装成自身本不属于的类别。然而，图灵设想中能通过其模仿测试的学习机器，是受低能耗人类大脑皮层的自然发育启发而构建的机器。它们会像人类孩童一样被养育，自然习得欺骗观察者的能力。图灵希望，这些“儿童机器”能拥有足够强大的能力，足以对社会和自然产生影响。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
