The direction of generative AI—a breakthrough in robots

AI is a big opportunity.
So, everyone is exploring, whether they know what to do or not.
At present, the exploration directions are mainly in the following two directions.

1. AIGC

The content industry is a very profitable industry, and the content industry covers almost all industries, from tourism to food, from clothing to cars and so on.
Whether or not you can start your own media or self-media fundamentally depends on your content production capabilities, quality and quantity.
The reason why many of my friends who work in self-media fail to succeed is that they simply don’t have enough time to do it.
The competition in the self-media industry is now very fierce. In order to produce more and better content, they have to spend a lot of time to produce more and better content.
If you invest little time, it will naturally be difficult to do.
Generative AI can help content producers create more and better content in less time.
This is the core value of generative AI in content production.
The content is of various directions and in various forms. It is almost impossible to have a universal AIGC tool for content production. Therefore, this provides many directions and tracks for AIGC entrepreneurship.

2. Assistant

If AIGC is a popular direction, anyone can participate and anyone can come up with something. Then the direction of "assistant" may be the direction of the ultimate killer application.

Dialogue seems to be the basic foundation of generative AI.
However, the current "basic plate" is still far from being an "assistant". This is a direction with infinite imagination space.
This is omitted here and left to your imagination.

Even if, at present, it is only the "basic plate", the impact is huge.
Recently, the field of robots, which has suddenly become popular, is actually a generative AI large model, which makes conversational human-computer interaction truly possible.
Conversational human-computer interaction will definitely replace current screen interaction to a large extent in the future. I had already anticipated this when I was working on robots a few years ago (I think I have written about this in my blog before).
However, before the big model, the conversational human-computer interaction was too limited. Now, the big model has finally made a breakthrough in conversational human-computer interaction.