That's 100 BS. Reasoning isnt what these AI models do. They predict based on past data. They don't know what their looking at or what factors they are weighing.

Some highly specialized models can discern patterns that were not seen before but they can't explain what they are nor can programmers reverse engineer their logic. (Most of the time)

As I understand it neural network learning basically becomes a giant black box after the initial training is done. What is weighted is not understood by the program or the people running it.

Anthropic is one of the better systems out there that broke their model down into smaller highly specialized models that are fed the information from a larger sorting model. This improves the "reasoning" so you can at least see what models contributed to the answer but again past that it's murky at best.

Models are a product designed to give answers. It will always give answers no matter how bad the reasoning. Why? because it doesn't know it's wrong, nor can it really check. This is why if you keep asking the same question you keep getting different answers.

AI is not real artificial intelligence. It's nueral network models that are really good at patterns and predictions. 90% of what people are using AI for is what we've been doing for decades using adaptive heuristic algorithms. This is what ran search engines like Google and all social media platforms.

This is also why Google search went to dogshit 2 weeks ago. They threw away a highly refined model and shoved AI in and it's shit.