Your voice is like chatgpt?

Just enter a zoom session, listen to a speech or even watch a YouTube video; Special language patterns, such as the use of “specialized” and “layer” words, which are the favorite words of chat, are heard more than ever. In contrast, the use of vocabulary such as “reinforcement”, “discovery” and “elegance”, which is less common in texts produced by artificial intelligence, is declining.

A study by researchers at the Max Planck Institute in Human Development shows that the use of lexses such as “careful”, “deep survey”, “territory” and “skilled” has increased by up to 5 % in six months after ChatGPT. This analysis is based on a review of 6,000 YouTube scientific videos and shows that these linguistic changes have taken place without the consciousness of the speakers, and this is important.

One of the words that researchers say as “linguistic fingerprint” is the word “deep examination”. According to Hiroma Yakura, the original author of the article, the term is now a symbol of academic conversations and is a sign of the indirect effect of chat ChatTT.

But the impact is not only in the vocabulary, but also in the tone, the structure of the sentences, and the expression of emotions. The speeches have become more structural, taller and sometimes more sensitive. According to one researcher, this is the tip of the iceberg.

Moore Naaman, a professor of information science at the University of Cornell, believes that the entry of artificial intelligence into human communication has destroyed three types of “human signs”:

• Basic human signs: Like the moments of vulnerability or personal expressions that say “I’m a human.”
• Signs of attention and effort: The phrases that show a person really took the time to write.
• Signs of personal ability: Humor, creativity and unique characteristics of the people.

He explains this by comparing the two messages: one of the official sentence “I’m sorry you was upset” and the other a more intimate sentence like “Forgiveness I did bad dinner yesterday, I shouldn’t cancel the therapy session.” The first is cruel, the latter human.

From Naaman’s point of view, if we lose these signs, the only place we will still trust will be face -to -face conversations, not even video calls.

At the same time, artificial intelligence is re -defining the “correct language”. Research at the University of Berkeley shows that chatit Chat responds are sometimes stereotypical or inaccurate when dealing with accents other than American criteria. For example, a Singapore user has reported that the ChatPT response in Sanglish’s local language was very exaggerated and annoying. These findings show that artificial intelligence not only ignores dialects, but also distort them.

Finally, we are reaching the point where the use of artificial intelligence between the two poles: the uniformity of formal communication (such as business emails) on the one hand and the original, human and emotional expression in personal spaces on the other.

Some early symptoms indicate that people are resistant to tongue uniformity, such as avoiding common vocabulary or trying to maintain personal style. On the other hand, artificial intelligence systems may also better reflect the human language in the future with greater diversity.

The main question is not whether artificial intelligence will change our conversation, because it will definitely do so, but whether we will consciously decide whether to maintain the status of human language, with all its disorder, feelings and slips.