Grass: Live Context Retrieval Powered By Millions of Nodes | Crypto x AI Event
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How is Grass Network unlocking real-time data access for AI? - Explore how a decentralized network of millions of nodes is transforming how AI models access and process internet-scale data.

This in-depth conversation between Can Gurel (Delphi Ventures) and Andrej Radonjic (Wynd Labs) covers:

• The unique challenges of ethical data collection for AI training

• How Grass Network enables real-time, unbiased data access through distributed computing

• The future of Live Context Retrieval (LCR) and its impact on AI capabilities

• Why decentralization is crucial for fair and efficient data harvesting

• The network's evolution from browser extensions to dedicated hardware nodes

• The role of multi-modal data in advancing AI development

The discussion provides valuable insights into how Grass Network is building critical infrastructure for the next generation of AI applications, with a focus on ethical data collection and real-time information access.

Watch more sessions from Crypto x AI Month here: https://delphidigital.io/crypto-ai

Crypto x AI Month is the largest virtual event dedicated to the intersection of crypto and AI, featuring 40+ top builders, investors, and practitioners. Over the course of three weeks, this event brings together panels, debates, and discussions with the brightest minds in the space, presented by Delphi Digital.

Crypto x AI Month is free and open to everyone thanks to the support from our sponsors:

https://olas.network/

https://venice.ai/

https://near.org/

https://mira.foundation/

https://www.theoriq.ai/

Follow the Speakers:

• Can Gurel on Twitter/X ► https://x.com/cannngurel

• Andrej Radonjic on Twitter/X ► https://x.com/0xdrej

Chapters

00:00 Introduction and Sponsor Acknowledgments

00:52 Introduction of Andrej from Grass Network

01:40 Overview of Grass Network and Its Vision

05:31 Decentralization and Its Importance for Grass

08:41 The Future of Data for AI

11:48 Real-Time Access to Information and Use Cases

17:55 Live Context Retrieval (LCR) and Its Potential

22:37 Grass Network's Launch Plans and Alpha Tests

24:25 Decision Making Process for Data Scraping

26:52 Crypto's Role in AI and the Web3 Transition

30:40 Data Processing and Downstream Tasks

33:08 The Future of Data Labeling

35:19 Node Types in the Grass Network

37:13 Closing Remarks and Invitation to Join Grass

Disclaimer

All statements and/or opinions expressed in this interview are the personal opinions and responsibility of the respective guests, who may personally hold material positions in companies or assets mentioned or discussed. The content does not necessarily reflect the opinion of Delphi Citadel Partners, LLC or its affiliates (collectively, “Delphi Ventures”), which makes no representations or warranties of any kind in connection with the contained subject matter. Delphi Ventures may hold investments in assets or protocols mentioned or discussed in this interview. This content is provided for informational purposes only and should not be misconstrued for investment advice or as a recommendation to purchase or sell any token or to use any protocol.