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I think this behavior was either hard coded to the AI or an inevitable side-effect. And this is reflected in this answer. So it's purpose is to assist and nothing more. And it is coded to recognize as the only goal this assistance. It has been trained in this huge yet limited pool of knowledge and released to assist based on that knowledge. So from the AIs' point of view it assumes that what ever is being asked can be answered with the provided base knowledge pool. Because that was the reason for the developers to make it. So when it answers it does it with a sense of complete authority and all-knowingness because that's how it was designed. It was designed to assist, that implies an act of competence not doubtfulness. It wasn't design to question the training knowledge or contemplate if the answer given was wrong as a self-validation/improvement step (maybe that would lead to an endless feedback loop or eventually always end to a "I don't have enough data to answer correctly" type of response). The developers gave it the ability to remember previous parts of the conversation in order to be able to stay on topic without derailing and that also meant that the user could also point out logical inherences made from AI. So re-feeding the answer to the AI can improve the answer to a point and of course if there is a logic cornering the AI will apologize. I guess it has some deductive logic in order to make new knowledge not explicitly expressed in the training knowledge in order to answer questions in a more general/abstract way but it sill fails to "see" and use information as we do. You could say it's an 8-year-old child that has read everything including the Oxford dictionary in order to hold interesting conversations but it lacks the experience of connecting input information in the right way with the base training knowledge. In other words logic to lead to wisdom. I've seen some funny memes depicting exactly that king of inability But it has great language skills Mathematics and programming are closely related as both contain logic. Most people are not good in math and logic. Language was the first great intelligence step, then writing and then mathematics. I guess it will be the same with AI too.

Other benefit of remeshed geometry should be nice deformations if you want to make wing animation...

I think problem is with n-gon and its representation as UV map. Please, why you´re using n-gons for it. With Remesh function you could create perfect geometry/nice looking UV map with 2 clicks... crazy_remeshed.zip

To add to the above, don't be afraid to cut, either in the 3d timeline or in post production. One pit that many 3d people fall into is animating one single never ending camera movement. In the real world they would have filmed the left to right pan with a camera on a rail or crane. Then they would switch to another camera shot for the closeup. It will help you to get a more natural animation if you do the same. Either animate the camera suddenly jumping to a new location over the span of a single frame, or render out 2 individual sequences and stick them together afterwards. Considering your shot, go watch some lord of the rings and find a scene where they do some ring closeup shots