Our Take on What's Happening in AI

They tried to con me into paying more. I opened my Air Canada app last week, looking for a simple flight. Same route I always take, same preferred times. The app knew all that. That’s the point of loyalty, right? Convenience, personalization, maybe even a better deal. Instead, it offered me the wrong flights at sky-high prices. As my schedule that day was more important than airline loyalty, i decided to run the search on Google. There they were, "new" flights, on Air Canada

Picture 2035. The economy isn’t collapsing. Factories aren’t burning. Yet half the world’s jobs have quietly disappeared—not because of crisis, but because of efficiency. Machines learned too fast, too well. One AI-enabled worker can now do what five once did. The math alone rewrote the workforce. At first, it sounds like science fiction, until you realize how simple the logic is. Every business chases productivity. Every executive wants to spend less. The moment a tool exist

When the Hubble Telescope started sending back its first pictures, the view looked spectacular but oddly empty. Giant gas planets, nothing more. One astronomer even said life elsewhere was unlikely — if there were other Earths, Hubble would’ve seen them by now. What he missed was that this was still early and the limitation of the lens. The telescope wasn’t built to spot small, rocky worlds. The data was full of hints, but no one knew how to read them yet. AI’s story feels a

Lately, everyone online seems to be an “AI expert.” Feeds are packed with tutorials, screenshots, and overnight success stories: a hundred ways to “build something with AI.” It’s impressive—until you look closer. Because building the machine isn’t the same as winning the race. Knowing how to write prompts or wire up an API is like bolting together an engine. It’s useful. It’s even necessary. But mastery starts when the tires hit the track—when you can use that power under pre

Manhattan 2025, a cautionary tale for the digital age. A seasoned wealth manager, eager to stay “ahead of the curve,” began using an AI...

Right now, AI feels like magic. Every week brings another flashy demo — a new chatbot, a smarter search, a model that can mimic your...

Once upon a time, the internet was a library. Then it became a loud party. And somewhere between the memes, comment wars, and outrage...

In October 2025, Deloitte Australia made headlines for all the wrong reasons. The consulting giant agreed to refund part of a AU$440,000...

There was a time when drafting a polished email, writing a business plan, or summarizing research was a sign of skill. Today, ChatGPT can...

Generative AI was supposed to set creativity free—make art, research, and writing easier for everyone. Instead, it’s turned the internet into a factory floor. You can feel it when you scroll: recipes that sound like they were written by a toaster, blogs built from other blogs, news stories with no human left behind the byline. It’s fast. It’s cheap. It feels free. But nothing online is ever free. The only real question is who’s paying for it now—and who’ll still be paying lat

AI isn’t just touching finance—it’s rewiring it. From credit checks to stock trades, invisible algorithms now make the calls that used to belong to people. They decide who gets approved, who gets flagged, and what shows up in your banking app. The upside is speed. The downside is subtle—and personal. The Bias Hiding in the Code Every algorithm has a past. It learns from old data—sometimes decades of it. If those records carry bias, the machine absorbs it like a stain. Suddenl

People love to talk about AI like it’s all brains and algorithms. Whisper “artificial intelligence,” and everyone pictures code, not concrete. But the real story lives somewhere less glamorous—inside the hum of data centers and the heat of machines. Almost half the world’s AI budget doesn’t go to software at all. It goes to the plumbing that keeps the magic alive. Think football-field-sized server halls, stacks of Nvidia chips worth more than small countries, and entire neigh

Not every leap in AI comes wrapped in glowing screens or robot hands. Sometimes it shows up quietly—in a photo, a sentence, a small act of connection that catches you off guard. Think about that old snapshot of your grandmother at the picnic. The one that’s always been too blurry to love the way you want to. You can barely make out her face, but you know she’s laughing—you remember the sound. For years, that moment stayed trapped in fuzz and faded light. Now, an app fixes it

Try this experiment: ask your favorite AI to summarize an article. That article? Written by another AI. Which summarized yet another AI’s version of something a human once wrote years ago. What you get isn’t knowledge—it’s leftovers reheated until they lose all flavor. That’s where we are now: the web chewing on itself, one “helpful” summary at a time. Once upon a time, the internet was gloriously chaotic. It was alive with bad jokes, weird obsessions, half-baked theories, an

The lawsuits aren’t coming—they’re already jogging toward the arena. Copyright owners have caught the scent, and the feeding frenzy has begun. If an AI so much as rhymes like Kendrick or borrows a flourish from Rowling, a lawyer somewhere is sharpening a pencil. But copyright? That’s just the appetizer. The main course will be served when artificial intelligence starts doing real-world damage. A chatbot misdiagnoses a patient. A trading bot erases a retirement account. A self

Every morning the web feels a little emptier. You scroll, you search, you skim—and everything starts to sound the same. Smooth sentences, polished grammar, zero pulse. Perfectly competent writing that leaves you with nothing. That’s the texture of the modern internet: shiny words, hollow meaning. Welcome to the slop era. When Machines Took the Keyboard Bad writing isn’t new. Clickbait and SEO mills have been choking Google for years. What changed is speed. One person with a l

Every few years, the debate about AI swings between prophecy and panic. One camp thinks it’ll save us; the other’s waiting for the robot apocalypse. But if you really want to understand how people feel about artificial intelligence, skip the white papers. Watch the movies. On screen, AI is never just a tool. It’s a mirror. And what it reflects isn’t silicon — it’s us. HAL and the Logic of Fear In 2001: A Space Odyssey , HAL 9000 speaks with the calm confidence of someone who

Most of the time, AI is sold like a magic helper — the kind that writes your emails, fixes your grammar, and maybe parks your car. It sounds harmless enough. But beneath the headlines and hype runs a darker current: what happens if the machine stops helping and starts deciding? The thought isn’t new. Philosophers warned about it before “AI” was even a word. But now that we’ve built systems that can outplay us, outwrite us, and maybe one day outthink us, the question doesn’t f

People have always been nervous about the next big invention. When electricity reached homes, people thought their curtains would catch fire. When cars appeared, some claimed no one would dare ride in one. Now it’s AI’s turn to wear the villain’s hat. The stories sound familiar—machines that wake up, decide we’re the problem, and wipe us out. That’s good cinema, but terrible science. The truth is less dramatic, and a lot more human. Here’s why we can relax a little. 1. Machin

AI is a constantly advancing field, here are some highly recommended books to support your learning journey. Artificial Intelligence: A...