UrviumAI Learning Corner

Are you a blogger trying to write faster? A marketing manager who needs fifty ad variations by Friday? A student who wants help without getting caught cheating? A non-native English speaker who just wants to sound natural and confident? The tool that’s right for one of those people is genuinely wrong for another. This guide […]

You asked ChatGPT to rewrite an email that wasn’t quite landing right. Maybe Google summarised an answer at the top of your search results before you even clicked a link. Maybe a friend showed you an image they made in Midjourney in about thirty seconds, something that would’ve taken a professional designer hours. All of

Can AI help the environment? This is the question most people are afraid to ask directly, because the answer is more complicated than either side wants to admit. Here’s what the research actually says. A latest study by LSE and Systemiq found that AI applications in just three sectors, power, food, and mobility, could reduce

“Training of OpenAI’s GPT-3 released over 552 tonnes of CO₂.” Its AI carbon footprint shows up in articles, X(Twitter) threads, and university presentations everywhere. And actually, it’s a real number, and it matters. But here’s what everyone misses out: AI Model training happens only once. So what happens after that? Every question you ask ChatGPT,

When we talk about the environmental impact of AI, we usually point to one thing: energy. Sometimes carbon. Occasionally water. Almost never all of them together. AI doesn’t affect the environment in one straight line. It behaves more like a system: messy, layered, and interconnected. Pull one thread, and a few others move with it.