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Language vs Students

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2025 is a major year where engineering students are facing real problems like figuring out which language to learn to get a job or get placed. Companies are moving from other domains to another such as robotics , ai , and chip design . Students are struggling to adopt these domain changes and are learning new tech every day just to stay in their jobs and live the life they had yesterday. As a student who is a recent fresher, I know Python , SQL , etc. However, companies are now moving their core languages. For example, Discord just rewrote its core in Rust , and other companies are doing the same. As a student I am not able to learn it because of a lack of lectures. I think companies should release information about the languages they use and for what purpose, so students can learn those languages and skills and master them.

The Other AI Race: Why Western Tech Giants Are Battling for India

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You’ve heard about the global AI race . It’s typically framed as a clash of titans: the United States versus China . But look closer, and you’ll see a second, more focused race happening right now. This race isn't for global domination—it's for a single, massive prize: India . The world's biggest Western AI companies, from Google and Microsoft to OpenAI , are locked in an intense sprint to capture the Indian market . This isn't just another regional rollout; it's a strategic battleground. But why India? And why is this race so different from the one in China? Your premise is exactly right. It comes down to two key factors: demographics and market access . 1. The "Why India" Factor: The Largest, Youngest Digital Nation Western tech companies are pouring resources into India for two simple reasons you pointed out: its population size and its youth. Unmatched Scale: With over 1.4 billion people , India is the world's most populous nation. More importa...

Our Data Is Overheating the Planet. Is the Solution in Space?

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  We are a planet addicted to data. Every video we stream, every AI-powered search , every smart device "ping" contributes to a digital avalanche. This data doesn't live in "the cloud." It lives on Earth, in massive, physical buildings called data centers . And these buildings have a massive, planet-sized problem. Our insatiable demand for data is running headfirst into two physical limits: power and heat . Data centers are some of the most power-hungry structures on Earth, consuming an estimated 2-3% of the world's entire electricity supply. And that number is set to explode with the rise of AI. But the real enemy is heat. Every single server processing data generates waste heat. To stop themselves from melting, these facilities spend a fortune on cooling—colossal air conditioners, complex water-chilling systems, and even experimental liquid immersion . In fact, nearly 40% of a data center's total energy use is just for air conditioning. We are spendi...

AI vs. People: The Hidden Cost of a Click

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We often think of the internet and artificial intelligence as clean, weightless forces. They exist in "the cloud," a term that sounds as harmless as the weather. But the reality is far different. As we race toward an AI-powered future, a hidden environmental bill is racking up, and it's measured in two of our most precious resources: water and electricity . The user's prompt is simple but sharp: AI is using more of these resources than people. When you look at the data, this isn't just an idea—it's a statistical reality. The digital world is physical, and it's incredibly thirsty and power-hungry.  The Shocking Electricity Bill When you ask a person a question, the energy cost is the tiny metabolic burn from thinking and speaking. When you ask an AI the same question, you are spinning up a global network of servers. AI vs. Simple Search: A single query on a generative AI platform like ChatGPT can consume 5 to 10 times more electricity than a simple Google...