When Machines Mimic Minds: The Slow Death of Original Content & The End of Blogs!

We built these tools to help us. AI was supposed to be the sidekick, the assistant, the thing that made life easier so we could focus on creating, exploring, and connecting. But somewhere along the way, it started replacing what made those things meaningful in the first place.

I’m a blogger. Not for money (not really), but because I love digging into open-source apps, finding hidden gems, testing them out, breaking them, fixing them, and then writing about the whole messy process. It’s not glamorous, but it’s real. And now? Now I feel like I'm shouting into a void while algorithms regurgitate recycled summaries of stuff I wrote months ago, or worse, stuff someone else wrote years ago.

AI systems are trained on content scraped from the web. That includes blogs like mine. Then they spit back “insights” that look more like lazy rewrites. People read the summary, get the gist, and never click through to the source. Why would they? The AI already told them what to think. No need to dig deeper. No need to verify. Just accept the conclusion and move on.

And Google? Don’t even get me started. Their search rankings are getting harder and harder to trust. More often than not, I scroll past half a dozen AI-generated fluff pieces before I find something written by a real person who actually knows what they're talking about.

Is Google Search Dying? The AI Revolution That’s Changing How We Find Stuff

You know, there was a time when Google felt like this magical thing. You’d type in your question—“Why does my dog keep eating grass?” or “How do I fix a leaky faucet?”—and boom! A list of blue links would pop up, and you’d click around until

MEDevel.com | Open-source Apps for Healthcare and EnterpriseHazem Abbas

The result?

More and more bloggers are giving up. Why spend hours crafting something thoughtful when an AI can generate five similar posts in seconds, and maybe even rank higher in search results?

But here’s the irony: if humans stop creating original content, where does AI get its training data? It's like building a factory that runs on trees, then cutting down every forest until there's nothing left to burn. Eventually, the machines won't have anything new to learn from. They’ll just keep remixing the same tired ideas, over and over again.

We’re heading toward a future where AI feeds off the bones of human creativity, and once those bones are picked clean, we might end up with a digital wasteland. A loop of recycled thoughts, shallow insights, and synthetic experiences that mimic depth without ever reaching it.

I don’t want to live in that world.

That’s why I’m still blogging. Even if fewer people are reading. Even if it feels like shouting into the void. Because real stories matter. Real experiences matter. And real people building real things deserve to be heard, not buried under layers of algorithmic noise.

The Decline of Google’s Search Quality - How Users Struggle with Search Result Changes (When Finding Real Answers Becomes a Treasure Hunt)

Remember when Google was like your trusty digital sidekick—always ready to serve up exactly what you needed with lightning speed? Well, something’s changed, and I’m betting you’ve noticed it too. The Search Result Rollercoaster Let’s talk about the elephant in the search results: those pesky “People Also Ask” boxes.

MEDevel.com | Open-source Apps for Healthcare and EnterpriseHazem Abbas

So if you’re a creator, keep creating. If you’re a reader, go deeper. Click the link. Read the source. Support the people behind the words. Because if we all stop paying attention, we might wake up one day in a world where nothing is truly new anymore.

And trust me, that’s a world worth avoiding.

For me, it is not the case, I use my blog mostly for me, to keep track of what I have found and learn, as a log and a bookmark.