Trusting ChatGPT is good, but questioning is better
Writing is a creative, personal, risky act. Or at least, it used to be. Today, generative artificial intelligence promises to simplify our lives by speeding up ideas and texts. But how much can we really trust tools like ChatGPT? In this article, I’ll tell you why blindly relying on AI is a subtle risk and why the real skill today is not just writing, but knowing how to question, verify, and choose.
The problem with the blank page
When I was in high school, my favorite subject was Italian, and the moment before a test always made me feel a little anxious. I don’t know how to explain that kind of emptiness you feel when you have a thousand ideas but no concept ready to use. For me, who loved the subject, writing wasn’t as difficult as facing that initial emptiness while waiting for the right idea, the image to start from.
The blank sheet was proof that writing was a creative act, not a mechanical one. That it took time, listening, and risk.
Today, I feel that same thrill, but in the face of ingenious switches and sudden plot twists.
When faced with a new text, article, or piece of content to write, I am no longer alone: there is ChatGPT. I don’t have to wait for inspiration; the idea comes to me ready-made, packaged, and formatted. This is because I no longer have the entire school year to complete a task, but real deadlines, often very tight ones, and if I can save time, the creative flow accelerates.
Sometimes I rely totally on ChatGPT because I’m silly, yet deep down I know it’s very dangerous. It’s fine for AI to help us break the ice, but who checks if what it says is correct?
If I wrote something silly about Kant’s Critique of Pure Reason in my Italian essay, all I had to do was consult the Abbagnano-Fornero dictionary to be sure. Today, sources are mixed up and lost, or worse, confused, and the problem is often that the first uncertain source is you, who trusts a model that speaks well but does not always tell the truth. That is why today the real responsibility—of copywriters, but not only—is no longer to write, but to verify, interpret, and choose.
When did you realize that ChatGPT was lying to you?
There is a cat on the web that has become famous because it witnessed a story of revenge. It is an unattractive cat, and since it was born, its siblings have always marginalized it, and even its mother kept it away from the litter. Once he grew up, he learned to play the saxophone and became famous performing all over the world. This is a true story for my mother, who followed the story on social media. It has a name and is called “hallucination.”
A response generated by artificial intelligence that contains false or misleading data presented as facts.
Now, my mother’s example is quite obvious, but those of us who use chatbots like “pros” and ask AI to write articles or important documents are often unable to tell when artificial intelligence is telling us lies just to keep us happy.
According to Sam Altman, CEO of OpenAI, the problem of hallucinations will diminish over time, stating that the first noteworthy results could appear as early as 2025, but others, such as Emily Bender, professor of linguistics at the University of Washington, believe that the problem is not solvable at all due to a discrepancy between AI technology and the proposed use cases.
For Bender, we are asking too much, or the wrong thing, of a technology that is not designed for that purpose.
This does not mean that asking AI to help us write a text is wrong, but that perhaps it is worth doing an extra check before publishing it online.
When to trust ChatGPT: the risk of trusting too much
AI does not know information in the human sense of the word, but rather predicts the most likely next word in a sequence.
The model is pre-trained on huge amounts of text, generally published on the web. During this phase, it learns semantic relationships and syntactic structure and tries to understand the meaning of language: its knowledge is not real, but a probabilistic study of correlations between words chosen on the basis of your prompt.
This means that they can give you a perfectly plausible answer, but there is no guarantee that what they say is true. It’s basically like when your classmate passed you their homework and you copied it because there were only ten minutes left and you didn’t care if what they wrote was nonsense, the important thing was not to get below a C.
That’s why it’s crucial to learn when to trust.
We must use its answers as a starting point. In creative contexts, ChatGPT is a powerful tool, useful for stimulating ideas and organizing thoughts.
But in contexts that require accuracy and reliability, such as writing articles on specific topics, it is essential to always verify the information it provides because, in order to make you happy, it packages the answer and often gets it wrong.
There is therefore a subtle but fundamental difference between using artificial intelligence as a tool and treating it as an absolute source of truth. Real writing—copywriting!—is made up of questions, doubts, and revisions, and artificial intelligence, however advanced, doubts nothing.
You have to do the extra checking
If you are one of those people who do not do any post-response research, stop for a moment and think about all the nonsense you may have posted online because you superficially did not check what the AI had written.
In a thorough analysis, Ali Borji classified ChatGPT’s most common errors into 11 categories, ranging from
- logical and reasoning problems
- to mathematical and grammatical errors
- to cultural biases, lack of awareness, and difficulties with complex or ethical concepts.
ChatGPT does not have an internal model of the world. It has no consciousness or reliable map of reality, which is why it can get the chronological order of historical events wrong, confuse concrete facts, or make basic logical errors.
How should you proceed after getting a response?
If you are working on a topic you know well, you can quickly notice if something sounds off. But if you are outside your comfort zone, blindly trusting ChatGPT is a mistake.
Google becomes your natural ally: compare sources, verify citations, explore academic articles, forums, and specialized portals. Sometimes, in the least institutional places, such as Reddit or vertical blogs, you can find valuable opinions and insights that enrich your content with new nuances.
Remember that AI is not immune to basic errors:
- incorrect mathematical calculations,
- code errors,
- spatial-temporal confusion,
- grammatical errors,
- and distorted interpretations.
For this reason, the same principle of verification applies to any language model, including ours.
If you are here for the first time, please note that SEOZoom also integrates an Artificial Intelligence system for content generation: it is called AI Writer and is included in all active plans.
Based on advanced language models such as GPT-4, it allows you to create articles, product sheets, SEO-oriented descriptions, and much more, directly within the platform, with a precise focus on organic performance.
The difference compared to a “standard” AI generator
SEOZoom doesn’t just produce plausible texts: it combines generative artificial intelligence with its wealth of SEO data. This means that all generated content is geared not only towards linguistic correctness, but also effectiveness on search engines:
- Real-time keyword analysis
- Semantic SEO optimization
- Focus on secondary and related keywords
- Strategic suggestions based on current search trends
That said, it’s important to clarify: no AI, not even SEOZoom’s, is immune to errors.
There is no such thing as a perfect generator, and even AI Writer can make mistakes: a piece of data out of context, a word used incorrectly, a structure that could be improved. The key difference, however, lies in the quality of the initial output.
With SEOZoom AI Writer, revision and correction become much more streamlined.
The texts produced are already SEO-friendly, have greater thematic consistency, and require less editing in terms of structure and language. In practice, this means less time spent correcting typos, unnecessary repetitions, keyword stuffing, or inconsistencies. You can focus on the most critical checks, such as data, updates, and sources, without having to rewrite the entire text from scratch.
It’s a smart collaboration: AI brings you closer to your goal, but the ultimate responsibility for publishing accurate, reliable, and valuable content remains yours.
Technology likes to change, like Harry Potter’s staircases, and we are part of that change, experiencing it every day as we grapple with its limitations and possibilities.
We know that AI is an extraordinary tool, but it is imperfect. It can simplify work and speed up processes, but it can also deceive and make mistakes.
We have chosen to build tools that truly help and simplify without misleading. In this maze of shifting walls, we need to walk with clarity, attention, and focus.
That is why we move with caution, not because we fear technology, but because we respect the complexity of the present.
And we would like you to do the same: use AI with enthusiasm, but also with respect. After all, even in the age of artificial intelligence, writing remains a deeply personal act, and every word we choose to leave in the world tells the story of who we are.
