LIST OF ALL COMMENTS

Lucy comented on: SPAM TRAPS – WHAT ARE SPAM TRAPS AND WHY THEY’RE A HIDDEN THREAT TO EMAIL MARKETING
This is one of those topics that doesn't get nearly enough attention. Most email marketers focus on open rates and subject lines, but spam traps can silently ruin everything behind the scenes. Really appreciated the clear explanation of how recycled vs. pristine traps work—had no idea the difference was that important. Definitely bookmarking this. It’s a must-read for anyone managing a growing email list. Thanks for breaking it down in such a practical way!

krcmic.com comented on: 17 BIGGEST AI MYTHS AND MISCONCEPTIONS
Also, if this topic caught your attention, I highly recommend checking out two related pieces I’ve written: 👉 17 biggest AI myths and misconceptions – a breakdown of common misunderstandings that still shape the public conversation around artificial intelligence. 👉 Echo chambers: What they are and how they shape what you believe – especially relevant when discussing AI, as algorithm-driven echo chambers can significantly influence how we perceive and interact with the world (and each other). Both articles dive deeper into the social and cognitive dimensions of technology - definitely worth a read if you're thinking critically about where AI is taking us.

Peter Legwood comented on: PUBLISHER – WHAT IS IT?
he role of publishers has evolved so much over the past decade, especially with the rise of content platforms, AI tools, and user-generated media. What I appreciated most about this article is that it doesn't just define what a publisher is—it also dives into the business model behind publishing, the motivations, and the ethical dilemmas that come with trying to balance quality content vs. traffic and revenue. That’s a point we don’t talk about enough. As a reader, you often assume that what you’re reading is purely informational or editorial—but behind the scenes, there’s always a strategy: SEO goals, affiliate links, ad networks, content partnerships, etc. Publishers aren’t just storytellers or educators anymore; they’re also data-driven businesses, and sometimes even gatekeepers. I also found the section about how publishers earn money vs. authors pretty eye-opening. It made me think about how creative labor is monetized (or exploited) in the digital economy. How do we ensure that creators are fairly compensated when platforms and middlemen control most of the distribution power? And let’s not forget the other issue the article mentioned—bias and ownership. Just like with traditional media, digital publishers may be influenced by corporate interests, political affiliations, or advertising pressures. As readers, I think we all need to get better at questioning not just what content says, but why it was published and who benefits from it. Curious to hear how others see this—especially anyone working in content creation, journalism, or digital publishing. Do you feel that the publisher’s role today is more transparent or more murky than ever?

AI is not cappable to everything comented on: 17 BIGGEST AI MYTHS AND MISCONCEPTIONS
People still think AI understands things like a human, but that is just not how it works. It's kind of wild how often this idea shows up, even among people working in tech. AI does not actually know anything, it just predicts what words are most likely to come next based on patterns in data. A big part of the problem comes from how AI is marketed. Phrases like smart assistant that knows your needs only make the confusion worse. It gives people the impression that the system is intelligent when it really is not. In reality, it is just processing numbers and returning what seems most likely to fit. There is no awareness behind it, no meaning, no understanding. But because the output sounds fluent and confident, people tend to trust it too much. I have even seen people use it for legal or medical advice without verifying anything, which is honestly pretty risky. Also agree with the point about bias. People often say the AI is being biased or political, but what they forget is that the system is just mirroring whatever data it was trained on. The real issue is who controls the system and what information is used to build it.

Finally someone said that comented on: 17 BIGGEST AI MYTHS AND MISCONCEPTIONS
Absolutely agree. That misconception fuels so much hype and misunderstanding. AI doesn't reason, reflect, or truly comprehend — it generates based on probabilities, not meaning. Treating it like a thinking entity leads to misplaced trust and bad decisions, especially when used in high-stakes areas like health, education, or law. We need more clarity around what AI isn't, not just what it can do.

Your evergreen is? comented on: EVERGREEN – WHAT IT MEANS/MEANING OF THE WORD EVERGREEN
In my own work, I’ve noticed that the most impactful evergreen pieces are the ones that connect to universal questions—how to do something better, how to avoid mistakes, how to understand the world more clearly. Not just listicles or checklists, but genuinely helpful or thought-provoking content that stands the test of time. Also appreciated the note about how even evergreen content sometimes needs pruning or refreshing. That’s a huge blind spot in content marketing. You can’t just publish it and forget it forever—language evolves, expectations shift, and even the best evergreen articles can benefit from a light update or structural improvement now and then. I’m curious: for those of you running websites or blogs, what’s your most successful evergreen article—and why do you think it worked so well?

Finally someone said that comented on: 17 BIGGEST AI MYTHS AND MISCONCEPTIONS
I feel you. That myth is one of the most dangerous ones too, because it leads to unrealistic expectations. People forget that AI doesn’t "understand" anything - it just predicts patterns based on data.

AI myths comented on: 17 BIGGEST AI MYTHS AND MISCONCEPTIONS
Really appreciate this breakdown. It’s crazy how many of these myths are still repeated even in professional settings. I literally heard Myth #3 (“AI thinks like a human”) in a pitch meeting last week 😩

AI will overtake our jobs... comented on: 17 BIGGEST AI MYTHS AND MISCONCEPTIONS
Myth #7 (“AI will take all our jobs”) always sparks debate, but I think it’s more nuanced. AI will replace tasks, not whole professions. The bigger issue is whether companies will use that as an excuse to cut corners instead of retraining people.

url comented on: 301 VS 302 REDIRECTS IN WORDPRESS – BEST PRACTICES EXPLAINED
This blog was... how do I say it? Relevant!! Finally I have found something that helped me. Many thanks!