Benny Pinkas
@bennypinkas
ID: 2375306923
06-03-2014 12:33:59
427 Tweet
1,1K Followers
847 Following
Bring out the notepad, itโs time to take notes ๐โ๏ธ Justin Schmidt, President and COO Ondo Finance, will dive into the future of DeFi at The Aptos Experience. #ExperienceAptos โ Tickets on sale now: aptosfoundation.org/events/aptos-eโฆ
If you're at SBC'24 and you don't want to see gory math, do come to my talk @ 11:40am! I'll be presenting our work with Sourav Das, Benny Pinkas & Daniel Xiang on weighted VRFs for the @aptos randomness beacon! And I will absolutely not be showing this slide. I promise! ๐
If you want to learn more about our (Sourav Das, Benny Pinkas, Daniel Xiang) weighted VRF construction, used in @aptos randomness, see my presentation below at SBC'24 ๐ Slides are here: docs.google.com/presentation/dโฆ Hope to return with a longer thread on it.
Aptos has the best nerds on Earth ๐ค โ When it comes to Research, no team in the space innovates like Aptos Labs. Whether it's Consensus, Execution, or Cryptography, Aptos has the best tech in the industry, full stop. And they're not shy! โ Here's who to DM about what ๐๐ป โ Talk
You like hard problems? Aptos Labs is looking for talented cryptography engineers: job-boards.greenhouse.io/aptoslabs/jobsโฆ 1. Privacy-preserving keyless accounts (aptos.dev/en/build/guideโฆ) 2. Fast, on-chain randomness (x.com/alinush407/staโฆ) 3. Veiled coins (github.com/aptos-labs/aptโฆ)
Woohoo!! ๐ฅณ Our @aptos randomness beacon cryptographic design, based on weighted VRFs and PVSS, has been accepted to @IACREurocrypt'25. This would not have been possible without Benny Pinkas, Sourav Das and Daniel Xiang! ๐ A bit about our journey below ๐
ืื ืืงืฉืจ ืืื ืืืงืืืื ืืื ื-ืืจืง, ืืืืช ืืืืืฅ ืืืืจืืื ืฉืชืงืืขืื ืืื"ื ืขื ืืฆืื ืืืืฆืืขื ืืื ืืืืืืจ? ืืฉืืจืืื ืคืืขื ืืืืคื ืขื ืืื ื, ืขื ืืกืืก ืืืืืืช ืืจืื ืืงืฆืืขืืช โ ืืชืงืืืืช ืชืืฆืืืช ืืื ืืื ืฉืืฉืื ืืื ืืืืืืจ. ืืขืืืช ืืืช, ืืฉืขืืจืืื ืืงืฆื ืืฉืืืื ืฆืืืืจืืื ืืืงืืจืืื ืืืจืืื ื ืืชืจืื ืืื ืืืืื ืื ืคืืขืื
ืืืืืจื ืืืืชืจืืช ืขื ืืกืข ืืจืืฉ ืืืืจืกืืื ืฉื ืคืืืกืืืง ืืขืืื ื-AI - ืืกืชืชืจ ืกืืคืืจ ืขืืืง ืืืชืจ ืขื ืืชืืจืืช ืืื ืกืื, ืืขื ืืชืคืงืื ืืืืจืืข ืฉื ืขืจืืื ืืืืคืฉ ืืืฉืืืช ืืืืฉืจืื ืืช ืฉืืขืฆืื ืืช ืืชืืจืืช ืืืื ืืืืืืช ืืงืจืืืืช ืืื ืืืขืฆืืืช. ืืกืืคืืจ ืืื ืืืืจืฃ. ืืืืกื ืืจ ืืืื ื ืฉืืงืื ืืช Scale AI ืืขืืฉืื ืืฆืืจืฃ ืืืืืื ืืช ื-AI