Has Google just wiped out an entire industry (and created a new one)?

If you have been following the news, you have probably heard about the recent release of Gemini 3, followed just a few days later by the release of Nano Banana Pro. While the former brings many promising advancements, the latter is a true game-changer in every sense of the word.

The Limitations of the Past

The previous version of Nano Banana was already capable of editing existing images with amazing precision. Very few, if any, other models (e.g. seedream 4) could come close to its capabilities. However, even though the technology was impressive, it had one major caveat: it lacked a fundamental understanding of world knowledge and the basic concepts of physics that humans possess.

For example, if you asked the old model to create an image of the vascular system, the result might look convincing at a glance, but it was almost never 100% correct. To be precise, it wouldn't pass the scrutiny of any expert in the field. Frankly, it often struggled to even spell words like "cardiovascular" correctly.

Understanding the Physical World

The new model is different. Its results are nearly as precise as the text output of Gemini 3. This means it integrates a core understanding of human anatomy, knowing exactly which vessels exist and where they are located in the body. It is as if someone took the output from the old model and manually corrected all the errors.

Here is one of many impressive results from Nano Banana Pro for that same challenging prompt (draw the cardiovascular system).

Unlike the previous Nano Banana, which was a standard diffusion model that relied on statistical guesses to mimic what an image should look like, Nano Banana Pro actually understands the subject matter using a thinking process. It moves beyond simple pattern matching and probability to apply a "world knowledge" logic, meaning it constructs the image based on physical laws and facts rather than just blindly predicting where pixels might go based on training data.

Handling Real-World Physics

Let’s look at another example involving real-world physics. Here is the prompt used: