Recognizing triangles isn't that impressive. What's the ceiling of complexity of patterns in data it can identify with is the real question. Give it a list of randomly generated xyz coords that fall on a geometric shape, or a list of points that sample a trajectory of Earth around Sun. Will it tell you that it's an ellipse? Will it derive the 2nd Newton's law? Will it notice the deviation from the ellipse and find the rule explaining it?

The entire point here is that LLMs and image recognition software is not managing this task, so, not really good at this particular shape identification task.