  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.
