I think there is a market for AI that would clean up the goo imports of 3D scanners. Imagine how beneficial that would be.

Also to generate clean 3D meshes from points cloud, while identifying the various objects via the colours/lighting. That would be also really interesting. It could as well describe the world, and the object's meta data.

As for something like this, it removes the fun of CAD design more than solve a problem, I think we best focus AI for repetitive boring tasks, rather than design. This may wow investors, and may save professional minutes, but it does not really solve the bigger problems.

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DrewADesign 4 days ago | parent | next [-]

Nobody in this space cares about anything except wowing the investors. They would willingly sap every ounce of joy out of every single knowledge worker’s professional lives and leave us being either AI process overseers or scrubbing toilets if some MBA could envision using that technology to lay people off. From where I’m standing, it looks like it’s just going to kill the demand for labor in a bunch of fields, tanking previously reliable salaries, and transfer the savings directly to shareholders.

	▲	DoctorOetker 3 days ago \| parent [-]
		The "subconscious" part of the brain processes huge amounts of information, and a lot of thought is actually subconscious manipulation. Conscious attentive deliberate thought is much slower and typically estimated at ~10 bits per second (if that is even the right unit!!!). When I was nude drawing, the first few poses were always very short (half a minute or a minute) and towards the end of a session the poses took longer. Forcing the brain to make quick decisions (and yes, err along the way) is a fantastic method to force the brain to learn, the sense of urgency and the sense of importance are very much related. Reflexive / reaction speed computer games force a player to learn. I believe its possible to upload neural network weights to the human brain by reaction speed games. I agree with your assessment of the driving force behind machine learning (laying off workers), but I believe it will usher in a new Enlightenment era, where the tremendous energy intensive computations to summarize human knowledge into a compressed form of neural weights results in the democratization of all this knowledge (and if those MBA's had this foresight, they wouldn't share those weights at all! unless they secretly "fight babylon from the inside out"). I will soon try this on a smaller model (that has basic ~100-language knowledge). The main issues are transforming the model weights so that all weights are embedding weights (moving the attention and feed-forward weights to token weights), but this requires knowledge distillation, and I know what form I want, but not sure if I have the requisite compute to do it. The second issue is figuring out how many weights per day one can learn.

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ricardobeat 3 days ago | parent | prev [-]

Not everyone thinks CAD is fun. When prototyping things for 3D printing, I just want a “mount for this controller board with Xmm spacing and N holes”; I would be completely happy using AI for most of it.

“Connect these two parts”, “add screw holes here”, “make a snap fit joint”, “make it 8cm wide”, “move these holes to the other side” is what I dream of!

	▲	taneq 3 days ago \| parent [-]
		I played around with a trial of the generative design stuff in Fusion, and my biggest takeaway was that it’s at least as much work to set up all your loads and attachment points and keep-outs and so forth as it is to just model the part myself. Similar to vibe coding in a language I know, really.