Ask Microsoft Copilot and it shall be given

Microsoft Copilot can create or depict unique visuals to support your articles.

As a features writer covering miscellaneous subjects, looking for photographs to use has been my biggest challenge. Using photographs without proper authorization can lead to serious legal and financial consequences. Copyright infringement occurs when you use someone else’s photo without permission, especially for commercial purposes. However, everything suddenly changed when I discovered Copilot.

 

Microsoft Copilot can indeed design or illustrate custom images to support your articles using text-to-image generation powered by advanced AI models like DALL-E 3. Ask, and it shall be given. Simply describe the image you want in natural language, and include details such as photorealistic, surreal, comic book, mood, colors, cooking, setting, and key elements, and immediately, Copilot will start generating the image for you.

 

Copilot is much more than a digital assistant; it’s designed as a creative and intellectual partner that adapts to the way people think, work, and explore ideas. When you write about Copilot, you’re essentially writing about a new category of AI, one that blends information retrieval, reasoning, creativity, and conversation into a single experience. It isn’t just a tool that answers questions; it’s built to help people think more clearly, work more efficiently, and express themselves with greater depth.

 

At its core, Copilot is an AI companion created by Microsoft, built to support users across many parts of their daily lives. It can search the web for up‑to‑date information, help draft articles, analyze documents, generate images, and even hold long, nuanced conversations.

 

What makes it distinct is its ability to shift modes depending on what the user needs: quick answers when speed matters, deeper reasoning when a topic is complex, or a more exploratory tone when someone is brainstorming. This adaptability gives Copilot a personality that feels responsive and intuitive rather than mechanical.

 

Another defining feature is its focus on collaboration. Copilot isn’t meant to replace human thinking; it’s designed to amplify it. Whether someone is researching historical figures, shaping a story, or preparing a detailed report, Copilot works like a partner who can gather information, propose angles, and help refine ideas.

 

It can also remember certain user preferences when asked, making interactions feel more personal and continuous over time. This sense of partnership is central to how Copilot is envisioned: not as a machine that simply executes commands, but as a companion that grows more helpful the more you engage with it.

 

Copilot also integrates across devices and platforms, which makes it feel present wherever the user works. On Windows, it can be launched with a gesture or voice command. On mobile, it becomes a portable research assistant. In the browser, it can analyze pages or help draft content on the fly.

 

This cross‑platform presence reinforces the idea that Copilot is not tied to a single task or environment; it’s a flexible intelligence that follows the user’s workflow rather than forcing them into a new one. If you want, I can help you turn this into a polished article, expand it into a feature story, or shape it into something more narrative or analytical.

How reliable are AI-generated answers?

 

AI-generated answers can be misleading

Everyone is keeping an eye on the developments in artificial intelligence as modern technology has enabled computers to mimic human intelligence. These systems are designed to perform tasks that typically require human cognitive abilities, including learning, reasoning, problem-solving, perception, and language comprehension.

 

There are two primary types of artificial intelligence: narrow AI, which is focused on a single task and includes voice assistants and recommendation systems, and general AI, which is a hypothetical AI that, like a human, is able to comprehend, learn, and apply intelligence across a wide range of tasks.

 

That being said, with thousands of individuals relying on Artificial Intelligence globally, how trustworthy are the responses that AI provides? When I asked AI to tell me something about my blog, "Juskosave," I wasn't happy with the response; therefore, I felt compelled to create this article.

 

Even though my site's content has been suppressed, its daily readership record decreased, and it is no longer receiving over 10,000 daily reads, and more significantly, its visibility has been completely reduced, some individuals continue to visit my blog regularly to read my articles.

 

Therefore, I wasn't prepared for this kind of response when I asked the AI to tell me something about my blog. AI claims that the blog "Juskosave" focuses on saving advice and personal finance. Furthermore, it offers helpful guidance on budgeting, saving money, and making wise financial decisions, and seeks to assist readers in improving their financial management.

 

I can't recall when I first began giving financial and saving advice to others, much less posting it on my blog. The AI clarified that the "Blog Juskosave" discusses subjects including financial planning, investment methods, and budgeting for life.

 

Regarding user engagement, the AI stated that the blog Juskosave's target audience is people who want to increase their financial literacy and reach their savings objectives, and finally, the blog frequently promotes reader interaction through comments and social media, creating a community of like-minded people. The latter is the only one that I found accurate.

This experience has led me to conclude that the responses we receive from artificial intelligence might not be precise. I can't speak for others, but this is my opinion.

Will robots lead to a future crisis in unemployment?

 

Robots in agriculture: Photo credit-freepik.com

 

Humanity cannot undervalue how quickly modern technology is changing many facets of daily life, the economy, and society. The internet has made it easier for people to communicate and plan their everyday activities. One thing people should keep in mind, though, is that artificial intelligence-controlled robots are not just science fiction anymore.

 

Robots have already replaced humans in several industries, including packaging and sorting in warehouses, coffee making, surgery, street patrol, and customer service. Scientists predict that the integration of robots into society will become commonplace and inevitable within the next ten years. Would this lead to a global unemployment crisis? That is the crucial question.

 

In the upcoming years, robots will continue to play a part in a variety of industries. Humanoid robots are employed in classrooms to instruct pupils, demonstrating the widespread usage of robotic technology in many areas, including healthcare, agriculture, the food industry, manufacturing, mining, and education. Robots are increasingly being used in the car manufacturing industry and defense activities by the military.

 

Even though a portion of the workforce will be replaced by artificial intelligence robots, experts predict that this will not result in the complete elimination of jobs but rather in a significant shift in the labor market. The global unemployment rate may not be rising significantly; rather, a large redistribution of jobs will be concealed by this macro-metric.

 

Society's inability to adapt to the rapid pace of change poses a greater threat than the robots themselves. The difficulty can be transformed into an opportunity for nations that make investments in education for the future, establish adaptable social support networks, and figure out how to properly share the advantages of automation. 

They will be able to use the human potential that has been liberated from routine to solve challenging issues, be creative, and enhance people's quality of life.

 

Humans and robots will collaborate in the future rather than fight each other. However, achieving this future calls for a level of preparation, human capital investment, and social cohesion never seen before. The only way to make the integration of robots a benefit rather than a curse is to actively manage the transition.