After extensive exploration of documentation and Stack Overflow, I discovered a revolutionary method to master Google Sheets using ChatGPT. What began as a simple experiment evolved into a collection of effective prompts that enhanced my spreadsheet skills. This guide presents six proven prompts designed to unlock the full potential of Google Sheets, applicable for writing complex formulas, creating custom scripts, or automating repetitive tasks.

Prompts include detailed commands for using specific functions, offering step-by-step guidance accessible for all user levels. They emphasize clarity, including tips, common errors, and troubleshooting methods. Scripts can also be generated to automate actions, streamlining processes while ensuring user-friendliness. Additionally, there’s a prompt for performing complex analyses and generating insights, leveraging a deep understanding of Google Sheets. Whether you’re a novice or an expert, these prompts empower users to elevate their productivity and data management capabilities.

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After struggling with multiple tech interviews, I turned to ChatGPT for a new preparation strategy that revolutionized my approach. Through extensive experimentation with targeted prompts, I created a system that transformed my interview skills from anxious responses to confident storytelling. This guide outlines the specific ChatGPT prompts that helped me secure my dream job, designed to assist others in their preparation. The prompts cover a range of areas, including crafting behavioral and technical interview questions, formulating compelling personal narratives, discussing strengths and weaknesses, and aligning career goals with company values. They also emphasize scenario-based questions to assess problem-solving skills and cultural fit. Additionally, the guide includes a mock interview element to provide real-time practice. Overall, these strategic prompts are aimed at improving interview performance through effective preparation and storytelling, allowing candidates to make a memorable impression.

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A study from MIT suggests that using generative AI tools like ChatGPT for tasks such as essay writing may lead to “metacognitive laziness,” where individuals disengage from critical thinking and cognitive engagement. Researchers examined 54 participants divided into three groups: those using ChatGPT, those utilizing search engines, and others relying solely on their knowledge. Results indicated that the brain-only group demonstrated the highest engagement and produced more unique essays, while those using AI showed lower brain activity and reliance on the tool. Participants who used AI felt less ownership over their work and struggled to recall their essays, indicating diminished memory formation. Alarmingly, when swapped, the AI-reliant group did not return to their previous cognitive levels. The findings raise concerns about the long-term effects of AI on learning and creativity, particularly among students increasingly dependent on such tools for academic tasks.

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Legal technology has evolved into a strategic priority in the legal industry, driven by advancements in artificial intelligence (AI), natural language processing (NLP), and automation. These technologies enhance efficiency and access to justice, modernizing document review, contract analysis, and litigation processes. Legal tech professionals are developing scalable platforms that cater to a diverse audience, from large corporations to individual clients. Key legal tech companies include Harvey, which uses AI for research and document drafting; Fulcrum GT, offering a comprehensive digital platform for legal operations; and DoNotPay, an AI chatbot for consumer legal needs. Other notable firms like Ironclad and Hebbia streamline contract management and document analysis. This innovation addresses urgent challenges such as scalability, equity, and accessibility in legal services, reshaping the very nature of legal service delivery in the digital economy. As the legal sector embraces these tools, the landscape of law is poised for significant transformation.

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The report from the Bipartisan Policy Center explores the regulation of health AI tools, emphasizing the necessity for oversight beyond the FDA. As AI technology rapidly evolves, existing regulatory frameworks may not adequately address the complexities and ethical considerations associated with health AI applications. The document argues for a comprehensive approach that includes collaboration among various stakeholders, such as federal agencies, states, and industry leaders. It highlights the importance of establishing clear guidelines to ensure the safety, efficacy, and transparency of AI-driven health solutions. Moreover, the report stresses the need for continuous monitoring and adaptive regulatory strategies to keep pace with technological advancements. By creating a robust regulatory environment, the report aims to foster innovation while safeguarding public health and maintaining trust in AI technologies in healthcare settings. Overall, it calls for proactive measures to address potential risks and challenges posed by the integration of AI in health-related practices.

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