Generative AI has the potential to change the way we do things. The chatbot is one of the most popular implementation areas. Even though companies like Google and Meta had chatbots, ChatGPT became popular as it was made publicly available. Although ChatGPT is still in the early stages of its development, it attracted the attention of people and capital groups. It has taken the public interest; people from different fields, ages, and education levels started using ChatGPT. There have been many trials with ChatGPT. It is possible to see a lot of news and shares on the Internet. The study aims to shed light on what is happening in the literature and get an insight into the user expectations of ChatGPT and Generative AI. We also give information about the competitors of ChatGPT, such as Google’s Bard AI, Claude, Meta’s Wit.ai and Tencent’s HunyuanAide. We describe technical and structural fundamentals and try to shed light on who will win the race. We also shared information about the GPT4 version of OpenAI's ChatGPT. We share the early stage due diligence and current situation analysis for all these points. We examine preprint papers and published articles. We also included striking posts on the LinkedIn platform and a compilation of various blogs and news. We also made use of ChatGPT in editing the content of these resources of this study. We can get an insight into the people's interests through their questions submitted to ChatGPT. We can also understand the capabilities of GPT3, GPT4 and also predict further enhancements.

Literature review articles are essential to summarise the related work in the selected field. However, covering all related studies takes too much time and effort. This study questions how Artificial Intelligence can be used in this process. We used ChatGPT to create a literature review article to show the stage of the OpenAI ChatGPT artificial intelligence application. As the subject, the applications of Digital Twin in the health field were chosen. Abstracts of the last three years (2020, 2021 and 2022) papers were obtained from the keyword "Digital twin in healthcare" search results on Google Scholar and paraphrased by ChatGPT. Later on, we asked ChatGPT questions. The results are promising; however, the paraphrased parts had significant matches when checked with the Ithenticate tool. This article is the first attempt to show the compilation and expression of knowledge will be accelerated with the help of artificial intelligence. We are still at the beginning of such advances. The future academic publishing process will require less human effort, which in turn will allow academics to focus on their studies. In future studies, we will monitor citations to this study to evaluate the academic validity of the content produced by the ChatGPT

Domain name systems and certificate authority systems may have security and trust problems in their implementation. This article summarizes how these systems work and what the implementation problems may be. There are blockchain-based decentralized solutions that claim to overcome those problems. We provide a brief explanation on how blockchain systems work, and their strengths are explained. DNS security challenges are given. Blockchain-based DNS solutions are classified and described in detail according to their services. The advantages and feasibility of these implementations are discussed. Last but not least, the possibility of the decentralized Internet is questioned.

The digital twin is based on integrated technologies such as the Internet of Things (IoT), Cloud Computing, Machine Learning, and Artificial Intelligence. The digital twin has become an important method of the digital manufacturing processes for the fourth industrial revolution. The digital twin is driven by increased intelligence, digitization, and reliability of smart manufacturing assets. It has potential usage areas such as construction, smart cities, and healthcare. It could be used to increase the overall performance of the potential systems and to support the physical world. Although extensive benefits are recognized, the security risks for using the digital twin have yet to be explored. The physical world of various nodes communicates with the digital twin. The digital twins will also communicate with each other in the near future. This study investigates the risks and threats which target the components of digital twin, machine learning processes, and data communication. Potential countermeasures and also future work is given.

Measurement of energy especially electricity consumption becomes an issue in big cities. Electricity usage monitoring is becoming more crucial and there is a need for the instant view of active energy usage. Solutions like smart grids are possible. Smart grids give a view in macro-level, there is also a need of a micro-level view. We mean a small region's or customer's usage when we mean micro-level view. The privacy of the personal data and the user's trust in the system should also be considered in these scenarios. This study aims to propose such an alternative system which uses blockchain technology and Internet of Things (IoT) devices for the metering and billing of the customer for the electric network. The trust and privacy issues are aimed to be solved. Blockchain can provide safer and more transparent solutions with its decentralized structure. Raspberry Pi is used to simulate metering, Hyperledger Fabric is selected as a blockchain system. A scalable and energy efficient energy tracking system with blockchain and IoT devices is proposed. A prototype system is formed and the possible usage scenario is simulated on the prototype.