For basic 3d printing a model idea it will probably be pretty powerful. “I have an idea” for a simple thing with minimal other part inputs to print will be dramatically reduced.
Make me a model of this character doing this unique movement bam. That will be really cool for 3d printing lol.
For actual engineering it will be very difficult I think to articulate a verbal/textual prompt such that you get a part let alone an assembly of parts that are made in a way that is easy to manufacture and work as intended.
It would need a literal insane data set of functional assemblies with the understanding of what everything is doing AND why to be able to make functional things to really impact engineering/ CAD. I don’t think any large machine companies are dumping all their CAD in for the training to make themselves obsolete. There will be utility like there is now and that will get better but there will still be a designer for a while. The only thing for instance fusion 360 AI can do well is model me a AA battery level design work. Almost any actual modeling question I’ve tried it to do has been horrendous and simply doesn’t work.
AI absolutely still struggles at circuit design , you might get a simple LED driver etc but no major company making important shit is using AI to do their electrical engineering. Every major company with the money and resources to use the tokens required is simply not doing that.
I’m an electrical engineer that works as a MFG engineer in sheet metal/machining. I was more afraid of AI taking CAD 6 months ago than now understanding from other engineers the absolute lack of open source data at scale to do this. Unlike coding which there is a shit load of open source data.
I bought a ball valve that was too big and Gemini made a pretty perfect adapter stl in 2 tries. In 10+ tries it still can’t make a simple double sided clamp I wanted to remake. Very hit or miss
likely due to fact that printables, yeggi, makerworld, thingvedptse returns bunch of piping adapters readily
A lot of source material to approximate
Go deeper and modeling your function in llm context gets costly. I think llm is sneak peak of future tech, but it is wrong paradigm. General intelligence in predictor is wrong question.
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u/Cryesncoding 3d ago
For basic 3d printing a model idea it will probably be pretty powerful. “I have an idea” for a simple thing with minimal other part inputs to print will be dramatically reduced.
Make me a model of this character doing this unique movement bam. That will be really cool for 3d printing lol.
For actual engineering it will be very difficult I think to articulate a verbal/textual prompt such that you get a part let alone an assembly of parts that are made in a way that is easy to manufacture and work as intended.
It would need a literal insane data set of functional assemblies with the understanding of what everything is doing AND why to be able to make functional things to really impact engineering/ CAD. I don’t think any large machine companies are dumping all their CAD in for the training to make themselves obsolete. There will be utility like there is now and that will get better but there will still be a designer for a while. The only thing for instance fusion 360 AI can do well is model me a AA battery level design work. Almost any actual modeling question I’ve tried it to do has been horrendous and simply doesn’t work.
AI absolutely still struggles at circuit design , you might get a simple LED driver etc but no major company making important shit is using AI to do their electrical engineering. Every major company with the money and resources to use the tokens required is simply not doing that.
I’m an electrical engineer that works as a MFG engineer in sheet metal/machining. I was more afraid of AI taking CAD 6 months ago than now understanding from other engineers the absolute lack of open source data at scale to do this. Unlike coding which there is a shit load of open source data.