Today it seems that neural network technologies have penetrated many aspects of our lives — from work and study to entertainment and even personal correspondence. Sometimes you receive a message that looks logical and impeccably correct, but there is still a feeling: "Did a person write this or..?".
According to social media promotion expert Ruslan Gilmanov, if you pay attention to the details, the signs of artificial text generation become quite obvious. Below are the main ones.
Suspicious Perfection — the First Signal
The first thing that usually stands out is the excessively correct structure and impeccable style of the message. Often it looks as if the author has read and edited it many times, choosing the most precise expressions. In everyday correspondence, we write differently — we hurry, make typos, use emotions, and do not always care about perfectly polished form.
The neural network, on the contrary, strives for maximum accuracy and logical consistency. Sometimes this leads to the text appearing too formal or, conversely, overly emotional where it is least expected.
Lack of Personality — the Second Sign
When corresponding with a living person, messages usually bear the imprint of the author's personality: a recognizable style, characteristic phrases, and sometimes references to shared events or details. In texts created by an algorithm, such "personal traces" are most often absent.
Even if the message is framed politely or emotionally, it may lack the individual context that makes the text alive and connected to a specific person.
Another Method — Ask the AI Itself
For those who doubt the origin of a message, a simple trick can sometimes help: ask the neural network itself to comment on the text or suggest its author. Many modern models can recognize patterns of machine generation — analyzing the structure and sequence of arguments.
There are also special online services that analyze text for probable AI generation, highlighting those fragments that most often appear in neural network responses.
Why Neural Networks Still Cannot Convey Human Liveliness
Despite their ability to neatly assemble phrases, neural networks cannot truly experience emotions, go through events, or invest their own life experiences into messages — what makes text truly alive and human.
AI can imitate emotions, but it does not feel them. As a result, such messages often appear smooth but detached, lacking the internal vibration characteristic of live communication.
...So, what should you pay attention to? A message that seems too neat, universal, or not tied to a real person may have been created by an algorithm, not your interlocutor.
