My hypothesis is until they can really nail down image to text and text to image, such that training on diagrams and drawings can produce fruitful multi modal output, classic engineering is going to be a tough nut to crack.
Software engineering lends itself greatly to LLMs because it just fits so nicely into tokenization. Whereas mechanical drawings or electronic schematics are sort of more like a visual language. Image art but with very exacting and important pixel placement, with precise underlying logical structure.
In my experience so far, only O3 can kind of understand an electronic schematic, but really only at a "Hello World!" level difficulty. I don't know how easy it will be to get to the point where it can render a proper schematic or edit one it is given to meet some specified electronic characteristics.
There are programming languages that are used to define drawings, but the training data would be orders of magnitude less than what is written for humans to learn from.
Software engineering lends itself greatly to LLMs because it just fits so nicely into tokenization. Whereas mechanical drawings or electronic schematics are sort of more like a visual language. Image art but with very exacting and important pixel placement, with precise underlying logical structure.
In my experience so far, only O3 can kind of understand an electronic schematic, but really only at a "Hello World!" level difficulty. I don't know how easy it will be to get to the point where it can render a proper schematic or edit one it is given to meet some specified electronic characteristics.
There are programming languages that are used to define drawings, but the training data would be orders of magnitude less than what is written for humans to learn from.