Quadratic memory reductions for Zero-knowledge Proofs (github.com)

Yep, those are indeed words in that README. That much I am pretty sure of.

Is this real or AI?

I've been thinking about ZKP's a lot recently. Using them we could perhaps build interesting and useful decentralised social media protocols. You could create a union at your workplace where you make agreements with everyone but you only communicate directly with your closest colleagues. You could create anonymous groups of doctors in a certain region that listen to reggae three times a week that think it would be worth renovating the cafeteria.

It would be a better foundation for the social contract than tick tock videos. But you'd need to make ZKP understandable and interactive for the average user.

This entity is sentient enough not to publish on arxiv medrxiv or biorxiv, where they will surely be red-flagged for self citations and single-authorship

Their most believable and unsensational works are in generative histopathology

http://dx.doi.org/10.1200/jco.2023.41.16_suppl.e23500

https://doi.org/10.1200/jco.2023.41.16_suppl.e13592

Meeting abstracts (you can think of them as posters or talks given by interns)

>The trained model’s validation accuracy of 73.7% improves upon past reported methods.

Mediocre performance, but at least those papers have coauthors

I always feel that if normal E2EE is very hard to do correctly the moment you add use cases which require zero knowledge proofs it's a x5-x10 complexity explosion on top of it. And that is in context where most companies will severely struggle to do E2EE right.