Why ChatGPT cannot generate a Photo with a correctly written name on it?

I saw the videos of SORA, and they were great videos generated with only a prompt. But why the hell cannot generate the simplest photo with text in it? You can see how my name was generated in the photo by ChatGPT or a simple quote by Leonard Sweet.?

While DALL·E (ChatGPT) is highly advanced in interpreting prompts and generating visuals, it is not without some difficulties. Especially when it comes to rendering precise text within images.?

Let's imagine we have a robot designed to bake cakes using recipes from a big cookbook. This robot is smart and can follow instructions to bake various cakes. However, when it's time to decorate these cakes with special messages written in icing, things don't always go as planned. This situation helps us understand why AI, like our robot, sometimes struggles with writing text correctly in images. Let's dive into the reasons through this simple analogy.

1. Learning from a Broad Range of Examples

Our robot has learned to bake cakes by looking at many pictures and recipes. But, it wasn't specifically taught how to decorate cakes with messages. This is similar to how AI models learn to generate images. They see lots of data, but not enough focused on writing text. So, while our robot can make icing, writing neatly with it is another story. It's like it knows what icing letters should look like but can only sometimes get them right on the cake.

2. Grasping the Meaning

The robot knows that messages on cakes matter but doesn't really get the meaning behind the words. For example, writing "Happy Birthday" needs a different touch than a "Congratulations" message. This shows how AI might recognize words but not fully understand when and how to use them properly in an image. It's as if the robot knows to put words on the cake but misses what makes each message special.

3. Having the Right Tools

Imagine our robot only has basic tools for cake decoration, not the precise ones needed for detailed writing. This is like AI's limitation in creating clear text in images. The AI has tools for making pictures but not for fine text details. So, when our robot tries to write on a cake, the letters might not look very good, just like AI might mess up the text in a picture.

4. Seeing the Details

Let's say the robot's camera, used to check the finished cake, isn't sharp enough to see small mistakes in the icing text. It looks at the overall cake but misses the little errors. This is similar to how AI focuses on making the main part of the image but might not pay enough attention to the text details. So, just like our robot might not notice a smudge in the letters, AI-generated images might have text that's not quite right.

Conclusion

Through this cake-baking robot story, we can see why AI has a tough time with text in images. It's about how the AI learns, understands context, uses its tools, and pays attention to details. Just like our robot tries to improve its cake decorating, AI technology is always getting better. We can hope for clearer and more accurate text in AI images as technology advances.