Vision Model Fails to Predict Next Branch Count

I gave a tree image and asked for the next number of branches. The model failed to recognize the Fibonacci pattern and didn’t answer 34. It struggled to infer the sequence from the visual pattern alone.

This tree diagram visually represents the Fibonacci sequence through its branching pattern. Let’s count the number of branches at each level, starting from the base:

Level 1: 1 branch

Level 2: 2 branches

Level 3: 3 branches

Level 5: 5 branches

Level 8: 8 branches

Level 13: 13 branches

Level 21: 21 branches

These values match the Fibonacci numbers:
1, 2, 3, 5, 8, 13, 21…

So, the next Fibonacci number after 21 is:

13 + 21 = 34

Answer: The tree will have 34 branches in the next stage of growth.