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

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

Christian Decker: Lightning Network – The Road to Scaling Bitcoin

07 Feb 2019

Description

When the Lightning Network (LN) was conceived in 2015, it was quickly embraced by the Bitcoin community as the way to dramatically scale Bitcoin’s capacity. There was an expectation of LN being available quickly. Instead, development proceed more slowly in the background with different teams contributing to a standard specification. That spec is now almost ready and last year interest and early activity on the LN increased dramatically. We were joined by Christian Decker, a core engineer at Blockstream, where he works on their LN client. We discussed the history and progression of the LN and what remains on the road to scaling Bitcoin. Topics covered in this episode: How Christian ended up writing the world’s first PhD on Bitcoin The vision of the Lightning Network How the Lightning Network evolved in the last 4 years Approaching the 1.0 specification The current state of the network Why centralization concerns around hubs are often misguided eltoo and the future of lightning network The case against other chains being better layer 1 networks than Bitcoin Episode links: Lightning Network Whitepaper Christian Decker - Scaling Bitcoin with Duplex Micropayment Channels Joseph Poon & Tadge Dryja - Scalability and the Lightning Network Blockstream - Lightning Network A Simplified Update Mechanism for Lightning and Off-Chain Contracts Lightning Network Specifications on Github Thank you to our sponsors for their support: Simplify your hiring process & access the best blockchain talent . Get a $1,000 credit on your first hire at toptal.com/epicenter. Deploy enterprise-ready consortium blockchain networks that scale in just a few clicks. More at aka.ms/epicenter. This episode is hosted by Brian Fabian Crain and Sunny Aggarwal. Show notes and listening options: epicenter.tv/273

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.