2023 keywords

2023 Keywords: Haicheng, Luo Cha, Dopamine Wear, Partner Socialization, Vacation, ChatGPT Chatbot.

1, "Haicheng, Luo Cha": the fantasy field and social satire in the song

After the long silence of singer Dao Lang, the release of Haicheng in Luo Cha in 2023 quickly became a popular divine comedy. This song has a peculiar style, which was commented as "The First Divine Comedy in 2023", while some people pointed out that "people with no education can't understand it".

2. Dopamine penetration

In the summer of 2023, a strong and dazzling color collision trend rose rapidly in people's clothes, which was called "dopamine wear". Self-proclaimed "fashionistas" wear bloggers have followed suit and named it this fashion trend.

3. Social ways in the new era.

In 2023, "partner socialization" began to become a trend. In the topic of "Looking for a Partner", New Weekly deeply discussed the new social relations in the age of atomization, reflected all kinds of partner stories in a semi-mature society, and triggered the discussion that "in contemporary society, young people can't fall in love, but they can't live without a partner".

4. Vacation: The complex interweaving of vacation and work.

People who can't rest can't work However, in recent years, people's feelings about holidays have become more and more complicated. Even if I want to have a rest, I often worry about all kinds of troubles such as urging marriage of seven aunts and eight aunts. Even if you succeed in taking a long vacation, you have to face the hardships of continuous work.

5. Chat bot

ChatGPT chat robot, as a representative of generative artificial intelligence technology, has become an achievement comparable to "steam engine moment" and "iPhone moment". This paper introduces the application and influence of ChatGPT, including its wide application in homework, poetry, copywriting, code, translation and other tasks. The article also mentions that ChatGPT has led global technology companies to join the "Hundred Models War" of AI big model development, and looks forward to the possible development direction of big language models in the future.