CryptoQuikRead_272 - Letting a Million Channels Bloom [Rusty Russell & Joe Netti]

July 19, 2019 00:41:03
CryptoQuikRead_272 - Letting a Million Channels Bloom [Rusty Russell & Joe Netti]
Bitcoin Audible
CryptoQuikRead_272 - Letting a Million Channels Bloom [Rusty Russell & Joe Netti]

Jul 19 2019 | 00:41:03

/

Hosted By

Guy Swann

Show Notes

The Lightning Network does, in fact, have scaling problems of its own. When the network grows to millions of channels we obviously won't be able to run it on a Raspberry Pi.  Don’t tell Rusty Russell or Joe Netti that, because they'll just build their own network and do it.  Another major milestone in Lightning development, the release of the Million Channels Project!

Today we are reading & discussing, from the Blockstream blog, “Letting a Million Channels Bloom.”

Check out the official post for the network data, charts and optimization benchmarks. Follow the blog and developers involved to stay up on the incredible work they are doing to bring Lightning to the world.
https://medium.com/blockstream/letting-a-million-channels-bloom-985bdb28660b
https://twitter.com/rusty_twit
https://twitter.com/JoeNetti

Lastly a huge thanks to our new sponsor, eToro! Don't forget to check out the exchange and let me know if you went long or short Bitcoin
eToro -  http://go.thoughtleaders.io/1026120190630

--- Send in a voice message: https://podcasters.spotify.com/pod/show/bitcoinaudible/message

Other Episodes

Episode

June 02, 2024 01:13:34
Episode Cover

Read_824 - Ecash is Self-Custodial

"Fedimint is a scalable self-custodial off-chain programmability layer on top of Bitcoin. It allows for use cases that are difficult, time-consuming, and unscalable for...

Listen

Episode

April 06, 2021 01:08:51
Episode Cover

Guy's Take #44 - Bitcoin is Not What you Think it is

• Money is not what you think it is • Great societies are a result of great money • Money is more foundational than...

Listen

Episode

November 17, 2023 01:47:56
Episode Cover

Ai Read_001 - A Gentle Introduction to Large Language Models

"Our first instinct when interacting with a Large Language Model should not be “wow these things must be really smart or really creative or...

Listen