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Passed the Turing Test: Living in Turing Futures

Bernardo Gonçalves

TL;DR

The world has seen the emergence of machines based on pretrained models, transformers, also known as generative artificial intelligences, that can pass the Turing test, which means that the authors are now living in one of many possible Turing futures where machines can pass for what they are not.

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.

Passed the Turing Test: Living in Turing Futures

TL;DR

The world has seen the emergence of machines based on pretrained models, transformers, also known as generative artificial intelligences, that can pass the Turing test, which means that the authors are now living in one of many possible Turing futures where machines can pass for what they are not.

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.
Paper Structure (8 sections, 2 figures)

This paper contains 8 sections, 2 figures.

Figures (2)

  • Figure 1: University of Manchester Mark I, December 1948. A digital computer whose primary memory was on the order of $10^3$ units and whose programming system was designed by Turing. Courtesy of The University of Manchester.
  • Figure 2: Turing's original test (left): C is an ordinary human working with the help of another human, B, to correctly identify A, a machine that is trying to imitate and pass itself off as B in the eyes of C. Modern Turing-like test for AI evaluation (right): C is a machine that rigorously evaluates the abilities of A, an AI, supported by a data resource B. In both scenarios, the gray colored players play against the white colored machine.