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Unlike other areas of AI that are immediately applicable to use in products (LLMs, Stable Diffusion, RVC, etc.), 3D sculpting has years of further optimization before it finds its fit. These sculpts are not "game ready". Their object geometry is massively bloated and inefficient.

They're not rigged with a skeleton or morph targets. That's a hard problem that some products (like rigify) can sort of solve, but not for assets in this poor shape.

The massive VC funds being poured into this "game ready asset AI" should sit on the sideline for 3-4 years and invest in a new player with a fresh cap table and no baggage.

I'm looking to jump into this area, but the timing is off.



I mean, alternatively, the timing is now. It's a great time to get a head start on it, because once it hits market-readiness, there are going to be massive opportunities.


> Their object geometry is massively bloated and inefficient.

This came out recently which looks like a leap forward in optimization: https://github.com/nv-tlabs/FlexiCubes


But isn't the point of publishing intermediate results to present what is currently possibly and set the agenda for future inquiries?




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