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It's a startup with well-credential and very technical founders and a fair seed round focused on accelerating one bottleneck in a newly popular computing paradigm using techniques that are known in research but never yet commercialized.

It might fail for the reasons many startups fail, but it's not prima facie fantasy.



But I don’t see the bottleneck. What are they optimizing that’s worth all this effort? As others have noted, RNGs are not a notable bottleneck in AI.




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