CAD and machining are different fields, true, but I see a lot of the same flaws that Adam Karvonen highlighted in his essay on LLM-aided machining a few months ago:

https://adamkarvonen.github.io/machine_learning/2025/04/13/l...

Do any people with familiarity on what's under the hood know if the latent space produced by most transformer paradigms is only capable of natively simulating 1-d reasoning and has to kludge together any process for figuring geometry with more degrees of freedom?