edwin 🐸
1.3K posts

edwin 🐸
@pescatios
product @okx @wallet | dj frog @projectNEWM | ex @StoryProtocol @jpmorgan | mental health, art, ai, crypto bldr








Today, we are publishing one of the side tracks of research ongoing with Q, our E2EE ML training and inference library, klearu: github.com/QuilibriumNetw… SLIDE proved that hash tables can beat GPUs at training deep networks. Further works compounded on this, and Klearu is the first native Rust implementation built on top of this research, extending it to LLM inference, sparsity prediction, and private two-party computation. In the current days we're seeing deeper trust being placed on AI, while the largest of providers are collecting this data for the purpose of not only training, but also advertising, or even selling this data to others. The risks grow worse with every passing day. The majority of AI research for private AI exists in the form of using TEEs – but we've seen time and time again that using TEEs for privacy is disastrous, guaranteed to leak, and even by it's name, is a massive requirement of trust. Outside of this, other private AI looks towards FHE. We know, at least for the near future, that FHE cannot perform at a speed high enough to be generally useful. So instead, we adopted 2PC, with flexible security configurations, where users can be assured that their requests remain private. The majority of these research projects have strictly an output of papers, with no or limited real world instances of their use. Klearu's implementation is available now, with simple instructions for developers to try it out.




Art, NFTs, Onchain Social, Gaming, DAOs Crypto elites and the trenches left these for dead. But the best time to build is when everyone else has left. Graveyard Hack starts today. Resurrect "dead" categories and win prizes across 10 tracks 👇



Privacy projects to keep an eye on arcium zama aztec umbra railgun monero zcash oasis mind secret coti aleo dusk nillion tornado cash mina fairblock what else did i miss? also if you're working on privacy, would love to chat - i'm deep diving into the segment and hoping to ask stupid questions and learn more.




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