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Oil and Water: Why We Need to Stop Forcing Human-AI “Collaboration”

We’ve been sold a lie about human-AI collaboration. The truth is far more unsettling: humans and AI don’t operate on different levels—they operate in fundamentally incompatible realities. One experiences genuine uncertainty and constructs meaning through time; the other executes pattern-matching in milliseconds without ever “knowing” anything at all. It’s time to stop pretending they’re teammates and start designing for what they actually are: oil and water.

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End of an Era? How Libraries Are Thriving in a Screen-Obsessed World

In today’s fast-paced world, many teenagers and young adults in their 20s and 30s seem glued to their screens. They stream videos, scroll social media, and read e-books on devices. This raises a big question: Are physical libraries dying out because young people aren’t visiting them to read books? This review looks at the past, present, and future of libraries to argue that no, this isn’t the end. Instead, libraries are changing to stay relevant, blending old-school charm with modern tech.

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When the Gates Open: Ghost Month and the Hauntings of the Web

At its core, Ghost Month is about infrastructures of connection. The gates of the underworld are said to swing open, allowing for traffic (spiritual, emotional, social) between realms. It is about networks: between the living and the dead and also between generations, between households and temples, between earthly desires and cosmic orders. And here is where I want to ask: what if we read the internet itself as a kind of ghost gate? What if the lag, glitches, hidden circuits of our digital infrastructures are not simply “errors” but hauntings, reminders that our networks, too, are spectral spaces where living and nonliving, human and machinic, constantly mingle?

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Can AI Have a Conscience? A Look at Ethics in Machine Learning

Can AI have a conscience? Of course, today’s AI isn’t a sentient being with feelings or guilt. It won’t lose sleep over a tough decision. But as artificial intelligence plays a bigger role in our lives, we do expect it to act responsibly. In essence, we want AI to follow ethical principles,  a sort of programmed “conscience” so that it helps society without harming it. This is the crux of AI ethics, an increasingly important topic now that machine learning systems are making decisions that matter.

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Right Answers to Wrong Questions: How Misconceptions Lead to Confidence and Task Failure

Typos, blurry terms, missing details – search engines, such as Bing, Google, and Yahoo, have learnt to recognize and deal with unclear search queries. “Did you mean …?” is a counter-question most of us internet users may have gotten once from these tools after entering a search query. So, these systems have our inaccuracies covered, right? And we can explore the search results and relax? Well, it is not that easy.

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