Menu
Sign In Search Podcasts Charts People & Topics Add Podcast API Pricing
Podcast Image

Epicenter - Learn about Crypto, Blockchain, Ethereum, Bitcoin and Distributed Technologies

Paul Sztorc: Truthcoin & Prediction Markets – From Information-Overload to Crowd Intelligence

21 Sep 2015

Description

Prediction markets are considered one of the most promising applications of blockchain technology. Although the concept and some early implementations have existed for years, decentralized prediction markets present a number of advantages to their centralized counterparts. joins us to discuss Truthcoin, a “Peer-to-Peer Oracle Protocol which absorbs accurate data into a blockchain so that Bitcoin-users can speculate in Prediction Markets”. We dive deep to explore the advantages of decentralized prediction markets, their various real-world applications, and their potential to revolutionize the creation and propagation of knowledge in our society. On this episode, we are thrilled to introduce a new co-host on Epicenter Bitcoin, Meher Roy. He has a biochemical engineering background and previously worked as an adviser to HyperLedger. Since discovering Bitcoin, he spends most of his free time understanding blockchain technology and its potential impact on our lives. We’re confident that Meher will bring a high level of understanding and critical thinking to the topics we cover, and we’re certain our listeners will be as happy as we are to have him on the show. Topics covered in this episode: What are prediction markets and why they are useful The mechanics of prediction markets The potential for prediction markets to provide useful aggregation to today’s abundant information The parallels between crowd intelligence and artificial intelligence The different components of Truthcoin and the state of the project How Truthcoin differs from other decentralized prediction markets Episode links: Truthcoin Website This episode is hosted by Meher Roy and Sébastien Couture. Show notes and listening options: epicenter.tv/097

Audio
Featured in this Episode

No persons identified in this episode.

Transcription

This episode hasn't been transcribed yet

Help us prioritize this episode for transcription by upvoting it.

0 upvotes
🗳️ Sign in to Upvote

Popular episodes get transcribed faster

Comments

There are no comments yet.

Please log in to write the first comment.