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.

翻译：生成式人工智能技术为不同领域的新一代机器开辟了道路。这些机器具备多种能力，例如，它们能够生成图像、生成答案或故事，并仅根据用户提供的“提示”编写代码。这些机器被视为“会思考的机器”，因为它们能够产生类人响应。在本研究中，我们分析并探索了人工智能赋能机器的能力。我们重新审视了图灵关于思考机器的概念，并将其与近期的技术进步进行了比较。本研究还讨论了思考机器所面临的反对意见及其后果，以及评估机器认知能力的现有技术。我们得出结论：图灵测试是评估机器能力的一个关键方面，然而，智能还有其他方面，而人工智能机器展现了这些方面中的大多数。