In this episode of the podcast, we welcomed Andrej, CEO and co-founder of Wynd Labs, to share his experiences in developing the Grass network and the Live Context Retrieval (LCR) technology. Andrej discussed his transition from a PhD in applied mathematics to entrepreneurship and delved into how LCR technology is transforming the way AI models access real-time data, overcoming the limitations of traditional AI, which relies solely on static information.

We also talked about how the Grass network ensures data accuracy and transparency, and explored the privacy protection measures within decentralized networks. Andrej elaborated on the technical and ethical advantages of Grass over conventional centralized platforms, and its wide-ranging applications across industries—from e-commerce to financial market predictions. Additionally, Andrej revealed Grass’s upcoming developments in the next few months, including the launch of an Android app, new hardware devices, and incentive programs for contributors.

Shownotes:

00:51 Andrej's Background and Project Overview

04:05  Explaining Live Context Retrieval (LCR)  

06:06  Comparison with Traditional AI Models  

07:06  Addressing Information Integrity  

14:53  Impact of LCR Across Industries 

18:19  Competitive Advantages of Grass  

22:40  Incentives for Contributors  

24:53  Upcoming Developments