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Showing posts from February, 2026

How AI is Used in AI-Generated Videos to Get More Views on YouTube

 Imagine creating YouTube videos without a camera, without speaking, and without spending hours editing — yet still getting thousands or even millions of views. Sounds impossible? Not anymore. Artificial Intelligence (AI) has completely changed the way content is created on YouTube. Today, creators are using AI video creation tools to produce professional, engaging, and high-quality videos in less time. Even beginners can now compete with big creators. If you want YouTube growth with AI, this guide will show you exactly how AI-generated videos work and how they help you earn more views, subscribers, and even money. What Are AI-Generated Videos? AI-generated videos are videos created using artificial intelligence tools instead of traditional filming methods. Instead of: Recording yourself Hiring editors Designing thumbnails manually You can use AI tools for YouTube that automatically: Write scripts Generate voiceovers Animate characters Edit videos Design thumbnails Optimize for You...

Threats of Artificial Intelligence to Human Health and Human Existence

 Introduction Artificial intelligence (AI) is commonly understood as the capacity of machines to perform tasks that normally require human intelligence, such as learning, reasoning, analysing data, recognising patterns, understanding language and making decisions. Over the last decade, AI has developed at an extraordinary pace and has begun to influence almost every sector of society, including healthcare, education, finance, security, media and governance. In most discussions, AI is presented as a powerful and beneficial tool that can solve complex problems, increase efficiency and improve quality of life. In healthcare in particular, AI is often celebrated for its ability to enhance diagnosis, support clinicians, develop new medicines and extend healthcare services to underserved populations. However, like all transformative technologies, AI also carries serious risks. While much of the existing health-related literature focuses on technical errors, data privacy concerns or bias ...