Exploring Live Context Retrieval in Crypto and AI

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This chapter provides an overview of an upcoming crypto event in Salt Lake City featuring key industry leaders and discussions on current topics. It also explores the complexities of live context retrieval and the need for a robust knowledge graph to enable language models to access real-time internet information.

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!

Join the aggregated future today by applying at https://polygon.technology/grants

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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Disclaimer: Nothing said on 0xResearch is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Dan, Sam, and our guests may hold positions in the companies, funds, or projects discussed.