Alex (@vmaloks) 's Twitter Profile
Alex

@vmaloks

Investment Analyst @Maven11Capital

ID: 1103043628535033857

calendar_today05-03-2019 21:24:29

526 Tweet

181 Followers

1,1K Following

Alex (@vmaloks) 's Twitter Profile Photo

The more I think about it, the more I feel like literally everything boils down to liquidity. Its the ultimate sign of life and human expression in the world of money

Alex (@vmaloks) 's Twitter Profile Photo

Super pumped to be backing August! August is the best way to get institutional players into DeFi because with an on-chain prime brokerage you have more tools to manage portfolio risk, you can access multiple chains from one account and execute cross-chain/assets strategies. The

MagicBlock ✨ (@magicblock) 's Twitter Profile Photo

We’re excited to announce our $7.5M Seed round to bring real-time, app-specific extensions to Solana L2s are yesterday’s solution. This raise accelerates our vision to become the real-time Engine for decentralized games & applications, built natively on Solana without

We’re excited to announce our $7.5M Seed round to bring real-time, app-specific extensions to Solana

L2s are yesterday’s solution.

This raise accelerates our vision to become the real-time Engine for decentralized games & applications, built natively on Solana without
Alex (@vmaloks) 's Twitter Profile Photo

The team at Resolv Labs keeps on delivering. The vision they outlined in this publication is what made me excited to invest in the first place! We as an industry are often stuck thinking about just the crypto-sphere when in reality the addressable market is so much bigger. Tim

Alex (@vmaloks) 's Twitter Profile Photo

Ayy! Bram Van Roelen has been hard at work building this out internally, we are super excited to get our residency up and running! If you recently came up with what you think is a killer idea, reach out to us and lets figure out how we can work together!

Pluralis Research (@pluralishq) 's Twitter Profile Photo

We've reached a major milestone in fully decentralized training: for the first time, we've demonstrated that a large language model can be split and trained across consumer devices connected over the internet - with no loss in speed or performance.

We've reached a major milestone in fully decentralized training: for the first time, we've demonstrated that a large language model can be split and trained across consumer devices connected over the internet - with no loss in speed or performance.