Decentralized Nodes and Knowledge Graphs

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This chapter examines the influence of geography on decentralized web crawling nodes and the significance of latency in their performance. It highlights the importance of user-centric designs in decentralized AI systems, collaboration for enhanced data accessibility, and the evolution of decentralized knowledge graphs. Furthermore, it discusses the advantages of utilizing Solana's robust infrastructure to optimize real-time internet crawling and tackle practical challenges in the crypto space.

In this episode, we dive deep into GRASS, a revolutionary decentralized network for web scraping and data collection. Andrej, from GRASS, explains how their platform is democratizing access to web data for AI development. We explore the technical aspects of the GRASS network, its innovative approach to data collection, and its potential impact on the AI industry. The conversation covers topics ranging from data poisoning prevention to the intersection of crypto and AI, concluding with insights into GRASS's future plans and expansion into mobile platforms.

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Polygon Labs is developing the next generation of open source zero-knowledge tech to aggregate crypto liquidity and user bases with the AggLayer. To support the aggregated future, the Polygon Community Grants Program was launched with 1 billion tokens — all for Polygon builders.

Season One of the community grants program is live now, and features 35 million in MATIC to support the next generation of Polygon projects!

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Timestamps

(0:00) Introduction

(2:11) Global Web Resource Problem

(16:50) Permissionless III Ad

(18:04) Polygon Ad

(18:55) Live Context Retrieval

(25:15) Data Labeling & RLHF Program

(32:59) Crypto & AI Intersection

(39:43) Why Solana & Business Future

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