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Photos from Gilgit Baltistan Tech Talent Transformation Program 's post 01/08/2025

4.0 Tech Talent Transformation Awareness Session

25/07/2025

Over 80% of websites are inactive, meaning they exist as parked domains or broken links, or they simply haven't been updated for an extended period. Still, the World Wide Web is growing at a mind-boggling rate, with nearly 250,000 new websites being created each day. And, with an average of three per second, by the time you're done reading this post, dozens of new websites will have been created.

21/07/2025

SoftBank founder Masayoshi Son has declared that the era of human programming is coming to an end—at least within his company. Speaking at SoftBank's annual general meeting, Son revealed an ambitious plan to replace human coders with advanced AI agents capable of thinking, learning, and making decisions independently. These agents won't just write code—they'll negotiate, plan, and execute tasks 24/7, with each employee supported by 1,000 AI agents. Comparing them to a "thousand-armed goddess," Son emphasized that AI hallucinations are only a short-term issue and that the technology is evolving rapidly. With a goal to deploy one billion AI agents by the end of 2025, SoftBank is betting big on agent-based AI as the future of work—challenging the traditional need for human oversight in tech.

12/07/2025

Some teachers approve topics quickly just to keep things moving. But you still need to check if it has a clear problem, enough sources, and room for analysis.

Don’t rely on approval alone. Take time to refine it.

10/06/2025

If your question is too vague, too broad, or doesn’t focus on something meaningful, your data won’t provide useful answers.

For example, if you ask “Does social media affect students?” without specifying what effect or which students, the data you collect might be all over the place and hard to interpret.

Remember that a strong research question guides everything.
You decide what to measure, how to collect data, and how to analyze it.
Without this, your study can become confusing or irrelevant.

Good data is useless if your question doesn’t make sense first.

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