ChatGPT has taken the world by storm, setting a record for the fastest app to reach a 100 million users, which it hit in two months. The implications of this tool are far-reaching, universities...

According to a survey ended March 2025, 28 percent of employed adults in the United States reported using ChatGPT for work-related activities during the analyzed period. Similarly, 26 percent of responding adults stated using the generative artificial intelligence (GAI) software for learning something new, while 22 percent claimed to use it for pure entertainment. However, the increase in ChatGPT usage was more pronounced for professional activities.

According to a survey of adults in the United States conducted in January 2023, ** percent of respondents used ChatGPT to generate text themselves. In comparison, overall ** percent of the female respondents claimed to have never used nor seen anyone else use it, while ** percent of respondents reported having seen text being generated by the AI technology for someone else.

ChatGPT is used most widely among those between ** and ** around the world. The youngest group, those under **, are the second largest userbase, and together those under ** account for over ** percent of ChatGPT users. It is perhaps unsurprising that the younger age brackets use the chatbot more than older as that is the common trend with new technologies. Male users were far more numerous than female users, with males representing over ** percent of total users in 2023.

As of June 2025, more than **** million Poles were using ChatGPT.

Unsurprisingly, those between 18 and 24 were the most likely to use ChatGPT among the various age groups, with ** percent of respondents saying so. This is likely due to younger people adopting tech at a faster rate than older generations.

A chatbot from Chinese AI lab DeepSeek sent shockwaves through the market in January, due to its ability to perform mathematics, coding and reasoning at a similar level to ChatGPT and other top-tier...

A January 2023 survey of IT and cybersecurity decision-makers of companies across North America, the United Kingdom, and Australia revealed some interesting perspectives. First, it found that over half of the respondents, ** percent, believed that hackers might use ChatGPT to craft more believable and legitimate-sounding phishing e-mails. A further ** percent thought that the AI tool would help less experienced hackers improve their technical knowledge and develop their skills, as well as for spreading misinformation.

In January 2024, ChatGPT online domain chat.openai.com registered over **** percent of its traffic as originating in the United States. Users based in India generated approximately **** percent of the total visits to the chatbot platform, while users in Indonesia accounted for *** percent of the total visits to the website. Visits from Brazil represented the fourth-largest group for the platform, generating more than **** percent of the total traffic recorded in the examined period.

Large language models present new opportunities for teaching and learning. The response accuracy of these models, however, is believed to depend on the prompt quality which can be a challenge for students. In this study, we aimed to explore how undergraduate students use ChatGPT for problem-solving, what prompting strategies they develop, the link between these strategies and the model’s response accuracy, the existence of individual prompting tendencies, and the impact of gender in this context. Our students used ChatGPT to solve five problems related to embedded systems and provided the solutions and the conversations with this model. We analyzed the conversations thematically to identify prompting strategies and applied different quantitative analyses to establish relationships between these strategies and the response accuracy and other factors. The findings indicate that students predominantly employ three types of prompting strategies: single copy-and-paste prompting (SCP), single reformulated prompting (SRP), and multiple-question prompting (MQP). ChatGPT’s response accuracy using SRP and MQP was significantly higher than using SCP, with effect sizes of -0.94 and -0.69, respectively. The student-by-student analysis revealed some tendencies. For example, 26 percent of the students consistently copied and pasted the questions into ChatGPT without any modification. Students who used MQP showed better performance in the final exam than those who did not use this prompting strategy. As for gender, female students tended to make extensive use of SCP, whereas male students tended to mix SCP and MQP. We conclude that students develop different prompting strategies that lead to different response qualities and learning. More research is needed to deepen our understanding and inform effective educational practices in the AI era.

As large language models (LLMs) such as GPT have become more accessible, concerns about their potential effects on students’ learning have grown. In data science education, the specter of students’ turning to LLMs raises multiple issues, as writing is a means not just of conveying information but of developing their statistical reasoning. In our study, we engage with questions surrounding LLMs and their pedagogical impact by: (a) quantitatively and qualitatively describing how select LLMs write report introductions and complete data analysis reports; and (b) comparing patterns in texts authored by LLMs to those authored by students and by published researchers. Our results show distinct differences between machine-generated and human-generated writing, as well as between novice and expert writing. Those differences are evident in how writers manage information, modulate confidence, signal importance, and report statistics. The findings can help inform classroom instruction, whether that instruction is aimed at dissuading the use of LLMs or at guiding their use as a productivity tool. It also has implications for students’ development as statistical thinkers and writers. What happens when they offload the work of data science to a model that doesn’t write quite like a data scientist? Supplementary materials for this article are available online.

According to a survey of adults in the United States conducted in January 2023, ** percent of respondents used ChatGPT to generate text themselves. In comparison, overall ** percent of respondents reported having seen text being generated by the AI technology for someone else, of which ** percent of the male respondents claimed to have seen so. Meanwhile, ** percent of the female respondents claimed to have never used nor seen anyone else use it.

Imagine walking into a coffee shop in 2025. Nearly everyone you see is glued to a small, glowing screen, their faces lit with the familiar hue of their smartphones. From teenagers scrolling through social media to business professionals managing meetings on the go, the smartphone has evolved from a luxury...

BackgroundChildhood asthma represents a significant challenge globally, especially in underdeveloped regions. Recent advancements in Large Language Models (LLMs), such as ChatGPT, offer promising improvements in medical service quality.MethodsThis randomized controlled trial assessed the effectiveness of ChatGPT in enhancing physicians' childhood asthma management skills. A total of 192 doctors from varied healthcare environments in China were divided into a control group, receiving traditional medical literature training, and an intervention group, trained in utilizing ChatGPT. Assessments conducted before and after training, and a 2-week follow-up, measured the training's impact.ResultsThe intervention group showed significant improvement, with scores of test questions increasing by approximately 20 out of 100 (improving to 72 ± 8 from a baseline, vs. the control group's increase to 50 ± 9). Post-training, ChatGPT's regular usage among the intervention group jumped from 6.3% to 62%, markedly above the control group's 4.3%. Moreover, physicians in the intervention group reported higher levels of familiarity, effectiveness, satisfaction, and intention for future use of ChatGPT.ConclusionChatGPT training significantly improves childhood asthma management among physicians in underdeveloped regions. This underscores the utility of LLMs like ChatGPT as effective educational tools in medical training, highlighting the need for further research into their integration and patient outcome impacts.

Introduction

OpenAI Statistics: OpenAI, Inc. is an AI company based in San Francisco, California, and was started in December 2015. Its main goal is to build powerful and safe AI systems. OpenAI wants to create smart machines, called AGI, that can do most jobs better than humans, especially the ones that add economic value. This is also best known for developing advanced AI tools like ChatGPT, designed to solve real-world problems and improve daily life. Its mission is to make powerful AI available to everyone in a way that benefits society.

This article includes several current statistical analyses that are taken from different insights, which will guide in understanding the topic effectively as it covers the overall market, sales, user demographics, usage shares, website traffic, and many other factors.

When Google unveiled Gemini AI, the tech world paused. Not just because it was another artificial intelligence launch, but because it promised something more: a multi-modal future. It was December 2023 when Sundar Pichai described Gemini not merely as a chatbot or assistant but as an evolving platform built to...

As of 2023, about ** percent of the global population who are familiar with ChatGPT were using the tool at least once a month, while over ** percent reported using it weekly. Indian respondents were the most frequent users, having just over ** percent of their respondents claimed to use ChatGPT every day.

Introduction

Construction Software Statistics: Construction software encompasses a range of digital tools designed to enhance efficiency and collaboration across various stages of construction projects.

Key types include project management, Building Information Modeling (BIM), cost estimation, accounting, field management, contract management, and procurement software.

These tools automate tasks, improve communication, and provide accurate reporting, leading to cost savings and better risk management.

Recent trends highlight a shift towards cloud-based solutions, mobile compatibility, and the integration of artificial intelligence and machine learning. Which are expected further to drive innovation and efficiency in the construction industry.

Between November 2022 and January 2024, global traffic to ChatGPT's online domain chat.openai.com originated mainly from mobile devices. In the last examined month, mobile devices generated approximately **** billion visits to the chatbot's website, with another **** billion accesses originating from desktops. Launched in November 2022, ChatGPT became the fastest online service to reach the milestone of more than a million users in five days.

According to a survey conducted in Japan in June 2023, **** percent of the respondents were to varying degrees inclined to use the OpenAI chatbot ChatGPT in the future. The survey also showed that the share of respondents who rejected the artificial intelligence software was slightly larger than the portion that was undecided on the issue.