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The article focuses on Congress's considerations on artificial intelligence (AI), including its history, recent advancements like Generative AI, and potential risks. It highlights the widespread use of GenAI models like Chat Generative Pre-trained Transformer (ChatGPT), prompting discussions on regulation, oversight mechanisms, and the federal government's role in supporting AI research and development.

The article offers an opinion regarding how a human-artificial intelligence (AI) collaboration can asses relevance. Topics include the improvements to large language models (LLMs) such as OpenAI's chatbot ChatGPT, the reasons why utilizing only LLMs can be problematic, and how human judgement can improve fairness, efficiency, and effectiveness.

This research article focuses on the science of detecting large language model (LLM) generated text. The authors discuss the advancement of natural language generation (NLG) technology, including OpenAI's ChatGPT, and explain how the two detection methods, black-box detection and white-box detection, work to mitigate the potential misuse of LLMs.

The article discusses the performance of large language models (LLMs) like ChatGPT in languages other than English, highlighting challenges and potential solutions. Researchers found that LLMs struggle to mimic humans in languages like Japanese due to differences in syntax and writing styles, leading to concerns about their effectiveness in non-English languages. Efforts to improve LLM performance in other languages include innovative tokenization methods and leveraging search data to supplement training data, aiming to address the scarcity of language-specific training resources.

The article provides the author's perspective on the reliability of the ChatGPT, which is an artificially intelligent (AI) chatbot that derives from a large language model (LLM), in the communication of science. Particular focus is given to the errors that ChatGPT encounters when communicating scientific knowledge to a general audience.

The article focuses on how large language models (LLMs) are influencing online communities. The authors offer their opinions, stating that generative artificial intelligence (AI) technologies, such as ChatGPT, are causing a decrease in user participation of knowledge communities and degrading the quality of answers the community provides.

This article presents generative artificial intelligence (AI) as a potential new innovation platform. First this article provides the history of generative AI with a discussion of Microsoft, OpenAI, and the use of neural networks and large language models. Next, a look at whether generative AI could meet the criteria of an innovation platform. Lastly, a discussion of regulation and governance.

This article examines the use of generative artificial intelligence (AI), namely OpenAI’s ChatGPT, with an emphasis on trust as well as its impact on education and jobs. The author discusses limitations to ChatGPT and how these can lead to errors in its responses but also highlights ways chatbots can be used to assist in a professional’s work.

The article delves into David DeBoor Canfield's perspective on the potential for artificial intelligence to replace human reviewers, offering an intriguing angle on AI capabilities. It mentions the "review" generated by ChatGPT for Sviatoslav Richter's recording of Mussorgsky's Pictures at an Exhibition lacks depth and authenticity, resembling a compilation of various reviews rather than an original critique of the performance.

The article focuses on the pivotal role of artificial intelligence (AI) reskilling in libraries, emphasizing the need for staff to adapt to generative AI like ChatGPT to remain competitive. Topics include the urgency of reskilling programs due to the rapid advancement of AI; the implementation of innovative AI literacy initiatives like the GPT-4 Exploration Program; and practical experiences of using AI tools to enhance workflows and productivity in administrative roles.

The article focuses on the top trends in academic libraries for 2024. Topics discussed include artificial intelligence (AI) and AI literacy with the launch of ChatGPT; open pedagogy and instructional design through renewable assignments and Wikipedia projects; the growing interest in open science, reproducibility & equitable publishing practices; and supporting student well-being post-pandemic due to changes to learning environments and increased social isolation.

Questions play a fundamental role in classroom interaction. In particular, in Content and Language Integrated Learning (CLIL) classrooms the strategic use of questions can strongly influence the learning process regarding both language and content. This paper emphasizes the interplay between questions, classroom discourse, and Artificial Intelligence (AI) technology in CLIL contexts. It categorizes questions as procedural, display, or referential, looking into their implications and potential in terms of providing occasions for scaffolding in classroom interaction and fostering both language and content processing and learning. Moreover, it underscores the pivotal role of well-crafted prompts in guiding generative AI to aid educators in fostering critical thinking, knowledge construction, and language development among students. [ABSTRACT FROM AUTHOR]

In this research-to-resource article, I introduce possible uses of ChatGPT, an artificial intelligence chatbot developed by OpenAI, for music education research settings. I discuss the impacts of artificial intelligence on education environments and highlight uses of ChatGPT as a tool, including the role of ChatGPT in information gathering, literature review assistance, research design conceptualization, statistical analysis support, research proposal review, and research publication support. I emphasize the importance of human expertise in filling knowledge gaps, detecting incomplete information, and using creative and critical thinking. While acknowledging concerns regarding ethics and plagiarism, I realize the unique qualities of human researchers and the need for purposeful mentoring and training on using artificial intelligence tools for appropriate tasks. [ABSTRACT FROM AUTHOR]

The article presents the author's experience of testing ChatGPT's boundaries by asking for information on illegal activities, but artifical intelligence refuses to provide such content and instead offers world-building details for a story about a burglary when prompted differently, demonstrating its limitations and ethical programming. He argues that while chatbots like ChatGPT may provide quick answers, they are not a substitute for search engines.

The article examines the strengths and weaknesses of generative artificial intelligence (GenAI) and the training techniques used to improve its accounting accuracy better than a Certified Management Accountant (CMA). It discusses the few-shot training of a large language model (LLM) with random multiple choice problems with the ChatGPT scores set to zero and the use of the ReAct training technique on the LLM. Tips are offered to deliver positive results with GenAI tools and ChatGPT.

To better understand the current challenges surrounding the use of artificial intelligence (AI) in K-12 schools, a team of researchers (Raffaella Borasi, David E. Miller, Patricia Vaughan-Brogan, Karen DeAngelis, Yu Jung Han, and Sharon Mason) interviewed 36 western New York school leaders in late 2023. Their concerns moved beyond potential cheating, as they instead identified four main priorities: receiving guidance to inform their decisions about AI, empowering all stakeholders to better understand AI and its implications, capitalizing on AI to support the work of teachers and staff, and enabling better technology solutions. These should inform future interventions aiming at leveraging AI in K-12 education. [ABSTRACT FROM AUTHOR]

The article focuses on the challenges and solutions in global Artificial Intelligence (AI) governance, emphasizing the need for collaboration to address emerging risks and establish regulatory frameworks. Topics discussed include the emergence of generative AI technologies, the urgency of global governance, and China's proactive role and contributions in shaping international AI governance.

The article informs readers about efforts to explore ChatGPT's conception of humanist ethics using philosophical arguments, particularly those from the Bible. Topic include the methods employed, including the use of logical fallacies and ChatGPT's implicit moral beliefs, such as cultural relativism and a sense of positive moral principles like human rights. it highlights the challenges in convincing ChatGPT to articulate its moral beliefs explicitly.

The article offers information on whether artificial intelligence (AI) could replace reviewers, inspired by an experiment conducted by World Magazine. Topics include the selection of Sviatoslav Richter's 1958 live recording of Mussorgsky's Pictures at an Exhibition for review, the process of obtaining a review from an AI program, and the AI-generated review itself.

The article discusses the collaboration between Senior Editor Ralph Raiola and OpenAI's ChatGPT to create an original sci-fi short story. The article provides a full transcript of the collaborative process and a partially finished product.

The article discusses that OpenAI founder Sam Altman testified before the Senate Judiciary Committee about ChatGPT in May 2023, highlighting its potential to revolutionize access to knowledge and calling for government regulation to mitigate risks associated with increasingly powerful AI systems. Altman's testimony sparked a discussion about the role of regulation in the AI industry, drawing parallels to historical regulatory frameworks.

The article discusses that the release of Google's upgraded Gemini artificial intelligence (AI) model led to a publicity disaster due to inaccuracies in image searches, raising concerns about AI's role in historical accuracy. It mentions AI's potential for historical research and teaching, using ChatGPT to create interactive simulations and leveraging large language models to translate texts and summarize historical documents.

Apple is set to make a big push in artificial intelligence (AI) with its platform updates this year. The company has already deployed machine learning technology in various areas, but the focus now is on generative AI. One potential area for generative AI is Siri, Apple's virtual assistant, which has not advanced much in recent years. Apple's dedication to on-device processing may allow it to leverage users' data stores, but there may be a need for cloud-based technologies for more power. Apple's AI ambitions have the potential to benefit various areas of its platforms, such as email summarization, image editing, and code generation. The company has the opportunity to come up with innovative ideas that can have a significant impact on device interaction. [Extracted from the article]

OpenAI and Google are competing in the field of generative artificial intelligence (AI), with OpenAI currently leading the race. OpenAI recently unveiled GPT-4o, a new AI model capable of more human-like interactions, while Google showcased its Astra project, which can review code and perform tasks through smartphone cameras. OpenAI's ChatGPT app has been downloaded more times and attracted more web visits compared to Google's Gemini. However, the success of generative AI is uncertain, as the field is still new and the majority of people have not used these tools. [Extracted from the article]

The article evaluates the ethical issues surrounding the use of the artificial language model ChatGPT in education from the perspectives of both students and educators. Cited are the ways to mitigate these ethical risks, the findings of a survey on how students view the ethical risks of using the chatbot in the classroom and how their instructors view it from a learning perspective, and the implication of ChatGPT for accounting and finance education.

This article discusses the evolving role of artificial intelligence (AI) in the practice of law, specifically focusing on its potential uses and the issues it may create in 2024 and beyond. The author consulted ChatGPT 3.5, an AI model, to provide insights on various topics related to AI and its impact on attorneys, particularly those who frequently travel for work. The article highlights the benefits of AI, such as increased efficiency and accuracy, as well as the challenges it poses, including job displacement, data privacy, bias, ethics, and regulatory compliance. It emphasizes the importance of carefully integrating AI into legal practices and using it as a complement to human expertise. [Extracted from the article]

The article discusses the use of artificial intelligence (AI) tools, specifically ChatGPT and other large language models (LLMs), in the legal industry. While AI can be a valuable tool for trial attorneys, it is important to use these tools correctly and ethically. ChatGPT and LLMs can assist with tasks such as refining opening statements, simplifying complex technical facts, providing metaphors, and practicing arguments. However, it is crucial to be aware of the limitations and risks of using AI, such as the potential for generating incorrect information and violating attorney-client privilege. The article also mentions other AI tools available for tasks like creating visuals and conducting legal research. Attorneys are advised to thoroughly research and evaluate these tools before incorporating them into their practice. [Extracted from the article]

The article focuses on critiquing the perception that large language models (LLMs) like ChatGPT represent significant progress towards achieving artificial general intelligence (AGI). It argues that despite their impressive ability to generate human-like text, chatbots lack genuine understanding and intelligence. It also emphasizes the statistical nature of chatbots responses.

The article focuses on the evolving debate surrounding artificial intelligence (AI), particularly the emergence of GPT-4 and its implications for society. It delves into concerns raised by experts regarding the rapid advancement of AI, including the potential risks such as loss of control over AI systems and the need for regulation. It also explores the geopolitical implications of AI advancements, especially in the context of military applications and international relations.

The article reports on the impact of artificial intelligence (AI) in parks and recreation, focusing on the rise of generative AI and its diverse applications. It discusses the current perceptions and use of AI, highlighting tools like ChatGPT and Placer.ai, and explores potential challenges, including accuracy, privacy, job displacement, bias, and the importance of policies and norms for responsible AI adoption in the field.

This article presents 10 groundbreaking technologies across various fields. It explores the impact of AI, specifically generative-AI tools like ChatGPT, which have transformed the industry. The article also discusses the first gene-editing treatment for sickle-cell disease using CRISPR technology, offering hope for patients. Additionally, it delves into the use of heat pumps to decarbonize buildings and manufacturing, as well as the emergence of decentralized social media platforms as alternatives to Twitter. Enhanced geothermal systems are also highlighted for their potential to unlock more geothermal energy sources. The article further examines weight-loss drugs like Wegovy and Mounjaro, which are gaining popularity as potential solutions to the obesity crisis in the US. While these drugs can help individuals lose a significant amount of weight, they have side effects and are costly, often not covered by insurance plans. Nevertheless, weight-loss drugs have the potential to improve the health of many and alleviate symptoms of heart failure. [Extracted from the article]

The article offers a guide for strategically using ChatGPT to create an aging of accounts receivable report. Topics discussed include an example of aging of accounts receivable report, steps for creating an aging of receivables report with ChatGPT, and things that should be done and should be avoided when using ChatGPT for automating tasks.

Recent news stories have highlighted the potential of artificial intelligence (AI) and chatbot technology in the field of law. A team of law professors at the University of Minnesota demonstrated that a chatbot called ChatGPT can pass exams from law school courses and can conduct legal research in real lawsuits. However, there are concerns about the reliability of chatbots, as they may invent legal authorities when they cannot find them. This raises questions about the future capabilities of AI in the legal profession, including the possibility of fabricating regulations, contracts, and even personal characteristics of lawyers. [Extracted from the article]

The article focuses on concerns regarding the use of artificial intelligence (AI) technology, particularly ChatGPT, emphasizing its unreliability and potential impact on restricting access to knowledge. Topics include the instances where ChatGPT provided inaccurate information and highlights the broader issue of relying on AI to shape access to information, exemplified by a school district in Iowa using AI to preemptively remove books from libraries based on perceived content.

The article offers news briefs related to diverse topics. OpenAI's ChatGPT leans liberal, showing a "significant and systematic political bias" in favor of Democrats in the U.S. Flamingos are unexpectedly spotted in various U.S. states, likely due to getting caught up in Hurricane Idalia. A 92-year-old great-grandmother in India fulfills her lifelong dream by learning to read and write.

Generative AI tools, such as ChatGPT, have gained popularity and have been used for various purposes, including writing papers, generating music, and solving math problems. However, these tools can also produce misinformation and amplify biases. The development of AI systems has a long history, with early programs like ELIZA attempting to simulate conversation. While AI systems like ChatGPT show promise in reasoning, they are not equivalent to human thinking. The field of generative AI is evolving, with researchers exploring applications in fields like medicine and the military. However, there are concerns about the risks associated with these tools, such as cybersecurity and privacy issues. While AI can enhance efficiency, human ingenuity is still necessary to address the challenges that arise. [Extracted from the article]

The article titled "THE STATE OF SCIENCE" highlights various scientific breakthroughs and discoveries that occurred in 2023. These include the return to the Moon after 50 years, advancements in artificial intelligence with the emergence of models like ChatGPT, the concept of "global weirding" in response to growing climate concerns, the deciphering of lost letters by amateur codebreakers, and new insights into the ancient process of mummification. The article presents a collection of the top science stories of the year, showcasing the most significant and intriguing moments in the field. [Extracted from the article]

The biggest stories of 2023 were the rise of artificial intelligence (AI) and the ongoing issue of global warming. AI technology, particularly large language models like ChatGPT, became widely used by millions of people, transforming various fields of science. However, concerns about AI taking over jobs and the ethical implications of its use were also raised. On the other hand, climate change reached alarming levels, with 2023 potentially being the hottest year on record and global average temperatures rising 1.5°C above pre-industrial levels. The year was marked by extreme weather events and disasters, emphasizing the urgent need for action to address climate change. The article highlights the importance of decisions made today on both AI and climate change, as they have the potential to impact billions of people. [Extracted from the article]

HOT SCIENCE THOUGH PROVING to be a daydream tool for many industries, ChatGPT is quickly becoming a nightmare for academia. Unfortunately, a colleague pointed out a problem: Hetherington had referred to himself as "we" in the paper, yet he was the only author, which could cause the paper to be rejected. [Extracted from the article]

Suno AI, a startup based in Cambridge, Massachusetts, has developed an AI model that can generate pro-level songs based on simple text prompts. The company's latest model, V3, can create music and lyrics in collaboration with OpenAI's ChatGPT. Suno aims to democratize music-making and envisions a future where a billion people worldwide pay a monthly fee to create their own songs. While some musicians express concerns about the potential impact of AI-generated music, Suno's founders emphasize that their goal is to engage more people with music and support artists, not replace them. [Extracted from the article]

The article focuses on leveraging Artificial Intelligence, such as ChatGPT, to enhance Individualized Education Program (IEP) development for students with disabilities. Topics discussed include increasing efficiency in drafting IEPs, generating meaningful goals, and ensuring legal compliance, highlighting Artificial Intelligence's potential while emphasizing the importance of human expertise in crafting personalized plans.