LLMs are not ... well ... I've just tried to get ChatGPT to help me generate a plumbing part that I will 3D print. Bit bizarre but the part in question (which

LLMs are not ... well ... I've just tried to get ChatGPT to help me generate a plumbing part that I will 3D print. Bit bizarre but the part in question (which is currently cracked) holds the other part in place and that provides the water seal with two O rings. I got so far with OpenSCAD. I started off with describing a part that Chat came back with as a "cup". Fair enough and so far so magical. Then I asked it to put a helical screw thread on the inside of the part. It suggested a popular library for this (BOSL2) and then got things a bit wrong. This is how it goes: Chat int al will get you close but as things get more specialized it will start to go off piste and tumble. I own a couple of slide rules. If I read them incorrectly then I will get a calculation wrong. Chat n that are just very fancy slide rules and I still find them fabulous.