Vanishing Gradients

Episode 8: The Open Source Cybernetic Revolution

May 16, 2022

01:05:57

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Highlights

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Episode notes

Is There a Difference Between Cybernetics and AI or Machine Learning?

04:24

Is There an Alternative to the Way We Practice Data Science?

04:23

I Love- But That's Macdon Burger, Right?

01:48

Introduction

2min

Infinite Games and Finite Games

2min

Open Source and Venture Capital - What's the Difference?

6min

Is There a Tragedy of the Commons in Data Tooling?

2min

Building a Community Site for Practitioners

4min

Data Science and Analytics - Is the World Really Data Driven?

5min

I Love the Data Revolution

3min

Are You Paid for Your Time or for Your Tasks?

4min

I Love- But That's Macdon Burger, Right?

2min

10.

Data Is the New Oil

5min

11.

The Half-Life of Data

4min

12.

I Love That You Talked About Game A

5min

13.

Is There an Alternative to the Way We Practice Data Science?

4min

14.

Is a Hummingbird Coherent?

4min

15.

The Movie Monsters Inc - The Spoiler

2min

16.

The Game B Concept of Crowdsourcing Participatory Stuff

3min

17.

Is There a Difference Between Cybernetics and AI or Machine Learning?

4min

18.

The Definition of a Multipolar Trap

4min

Hugo speaks with Peter Wang, CEO of Anaconda, about what the value proposition of data science actually is, data not as the new oil, but rather data as toxic, nuclear sludge, the fact that data isn’t real (and what we really have are frozen models), and the future promise of data science.

They also dive into an experimental conversation around open source software development as a model for the development of human civilization, in the context of developing systems that prize local generativity over global extractive principles. If that’s a mouthful, which it was, or an earful, which it may have been, all will be revealed in the conversation.

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