The 1st 10min is general discussion. 10min+ is showing Weir code, so better to watch https://youtu.be/n81PJt0mw0k !
Fascinating discussion on where technology must go and how we're getting there with things like AXE.
This episode was pretty all over the place!
If you are here for DAM code documentation and reference, jump to around 44min.
Video version is available here: https://youtu.be/_KhQCPDpONY
More data structures - why your data does not need to be strongly sorted unless you are returning precomputed search result rankings.
Video version is available here: https://youtu.be/mnG26Rtk0wM
This is a fun episode where we explain different types of data structures and how they work.
Then, we implement it! And it works!
If you'd like to see the screencast or code version of this, check out:
https://youtu.be/fG9Xjt3mZ5U
If you want to watch the screenshare video version of this podcast, please check out https://youtu.be/08MUJdIy4XA !
In this podcast we discuss the nuanced complexity behind gun.js, the JavaScript implementation of the peer-to-peer GUN protocol.
The wire spec is simple, and has been ported to other languages in a matter of hours (see https://gun.eco/docs/Porting-GUN ), but the easy-to-use chaining API is exactly the opposite to implement, and not recommended for non-JS languages.
For a primer on this subject, please read the https://gun.eco/docs/javascript page.
Our internet was down, so we had to record via phone.
In this episode, Mark Nadal explains the "RAD DHT" distributed systems algorithm for the upcoming http://AXE.eco/ decentralized network.
This is important because it can achieve Google or Facebook level global scale without centralized servers that are often used to spy on people.
OLC will be discussed in another episode.
We tried to talk about IoT, but it didn't really work out.
Instead, it was a casual conversation about the Meta Editor, Mesh Networks, and towards the end Mark explains his "Information Design Language".
We ebb & flow through a series of different discussions.
Use the power of skip & scrub to find your favorite parts!
This was originally a screencast, so it may not make sense audio-only over podcast.
Trial & error, as we tried to record our 1st group podcast!