✦Crazy Wisdom

Crazy Wisdom

Legacy internet vs New Internet? - AJ Lamarc

April 3, 2023 · 53 min

MP3 · Apple Podcasts · Spotify

About this episode

AJ is a software engineer interested in Urbit and data composability. 

Twitter: https://twitter.com/ajlamarc

https://www.ajlamarc.com/

Keep an eye out on Holium, and making it easier to code in Javascript for Urbit

Notes

  1. What is data composability?

    1. Multiple applications sharing data and make the interfaces work together

    2. OpenAIs that both Twitter and Facebook had and then were shut down

    3. Data is the main product that these applications have

    4. You can separate the data and the code

    5. Personal AI

  2. How did we get to such a fragmented application landscape?

  3. Legacy internet vs New Internet?

  4. What is AJ working on?

    1. TomeDB

    2. Javascript package

    3. Associated gall agent

    4. NoSQL database

    5. The front end side is the interesting part

  5. What are gall agents?

    1. Standardized backend of Urbit

    2. Rules for moving data between different servers and accounts

  6. What are you looking for in a backend?

  7. Why are you reinventing the wheel when building a new urbit backend?

  8. What is the promise of urbit?

  9. What is the main draw of urbit?

  10. What does it mean to be permissionless?

  11. Urbit brings the best out of the past

  12. How much data is stored when you host your urbit on the cloud vs your own database?

  13. What are the technical limitations that an Uribit can store?

    1. 4-8 GBs can be stored and its stored in RAM

  14. How long until we have video streaming on Urbit?

  15. What is your take on where AI and Urbit mingle?

  16. How do you have an AI work for you rather than a big corporation?

  17. Urbit is creating a virtual world where you get only what you want and little of what you want

  18. The success of Urbit is the apple OS with the next generation of software

  19. How do you get the cost down?

    1. How do you run an urbit inside an urbit?

  20. What is the main difficulty of scale for computing on the cloud?

  21. If a million people join urbit tomorrow would it break?

  22. What is the biggest scale that Urbit has seen?

    1. 1-2K people

  23. What is the new narrative of Urbit?

  24. How do you use urbit as a really simple use case that urbit can solve to start getting urbit adoption?

    1. How do you store data and transfer it between two people in a secure way?

  25. Urbit as an infrastructure that can help build infrastructure

    1. There has to be the normal infrastructure that we are used to in terms of databases and networking 

    2. Urbit is mostly a backend technology

    3. Urbit could eventually have HOON native AI

  26. Did you use crypto to pay for anything in El Salvador?

  27. What did you learn at the Volcano Summit in El Savlador?

  28. Logan’s talk on Zorp using Knock

 

Episode transcript
Stewart Alsop III00:00

Welcome to the Crazy Wisdom Podcast. This podcast is for you. If you have an insane drive to find the truth of things, it's not the good answers that we seek, but the good questions. I interview a range of different guests from many different fields, all with the intention to uncover the simple truths that are hidden in plain sight. Most people don't want to go there. I go there, my guests go there, and you benefit. Please let me know if you enjoy these episodes and as always, subscribe on itunes, Spotify or wherever you listen to the podcasts.

Stewart Alsop III00:37

Welcome to the Crazy Wisdom Podcast. My guest today is AJ Lamarck. He is a software engineer interested in Urbit and data composability. And he just went to the Urbit Summit on the volcano in El Salvador and I'm sure we're going to speak about that and probably going to speak about data composability and Urbit. So welcome to the show.

AJ Lamarck00:59

Yeah, thanks, Stuart. Glad to be here.

Stewart Alsop III01:02

So what is a high level understanding of data composability?

AJ Lamarck01:07

I think it's maybe been addressed better by other people over time, but just kind of multiple, multiple applications sharing data and kind of how do you make those interfaces work? Because that's, I think it's been kind of an idea that composability is something people want, but it's just been a kind of a difficult thing to, to get right. And you can see that it really hasn't been done at all yet. There was kind of a, a little bit of a time where I guess Twitter and Facebook had some sort of open APIs that developers can build on top of. That was kind of before my time. I think that was late 2000s, early 2000s. But as that has been shut down to kind of prioritize, I guess it's, it's mostly when data is like data is the main product that these applications have, so they want to protect it as much as possible versus you're looking at an open system like Urbit. That's kind of the benefit is you can separate out the data from the code. So that kind of gets into ideas of personal AI and more things on those lines.

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