Can I say, now machines can think?

TL;DR

This paper explores the capabilities of generative AI machines, revisiting Turing's concept of thinking machines, evaluating their cognitive abilities, and discussing implications and evaluation techniques.

Contribution

It provides a comprehensive analysis of AI's progress in mimicking human-like thinking and compares modern AI capabilities with classical notions of machine intelligence.

Findings

AI machines exhibit most aspects of intelligence.

Turing Test remains a critical evaluation method.

Recent advancements align with traditional concepts of thinking machines.

Abstract

Generative AI techniques have opened the path for new generations of machines in diverse domains. These machines have various capabilities for example, they can produce images, generate answers or stories, and write codes based on the "prompts" only provided by users. These machines are considered 'thinking minds' because they have the ability to generate human-like responses. In this study, we have analyzed and explored the capabilities of artificial intelligence-enabled machines. We have revisited on Turing's concept of thinking machines and compared it with recent technological advancements. The objections and consequences of the thinking machines are also discussed in this study, along with available techniques to evaluate machines' cognitive capabilities. We have concluded that Turing Test is a critical aspect of evaluating machines' ability. However, there are other aspects of intelligence too, and AI machines exhibit most of these aspects.