World After Capital
Technological advances broaden the space of the possible for humanity.
- With the internet we can give everyone free access to education. But we can also share hate speech globally.
- With artificial intelligence we can build self driving cars. But we can also more effectively manipulate people.
There is nothing fundamentally new about this duality of technology.
- With fire we were able to warm ourselves and cook. But we were also able to burn down forests.
- With steel we were able to construct more effective plows. But we were also able to forge swords.
And yet there is something special about our moment in time.
We are experiencing a non-linearity which renders many of the existing predictions about society based on extrapolation useless. The space of the possible is expanding rapidly due to the extraordinary power of digital technologies which deliver the universality of computation at zero marginal cost.
Humanity has encountered two similar non-linearities previously. The first was the invention of agriculture which ended the forager age and brought us into the agrarian age. The second was the enlightenment which took us out of our state of ignorance about nature and helped usher in the industrial age.
Imagine foragers trying to predict what society would look like in the agrarian age. Cities, rulers, armies all would have come as a surprise. Similarly much of what we have today, from modern medicine to computer technology would look like magic from the perspective of most people from as recently as the late 1800s. Not just the existence of mobile phones would have be hard to foresee but even more so their widespread availability.
Read online at worldaftercapital.org
- Work in Progress
- Digital Technology
- Part One: Laying a Foundation
- Part Two: Getting Past Capital and Labor
- Limits of Capitalism
- Power of Knowledge
- Part Three: Enhancing Freedom
- Economic Freedom
- Informational Freedom
- Psychological Freedom
- Part Four: Taking Responsibility
- Pattern Recognition and Machine Learning (Information Science and Statistics)
- by Christopher M. Bishop
- Data mining
- by I. H. Witten
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- by Various
- CK-12 Chemistry
- by Various
- Concept Development Studies in Chemistry
- by John Hutchinson
- An Introduction to Chemistry - Atoms First
- by Mark Bishop
- Microsoft Word - How to Use Advanced Algebra II.doc
- by Jonathan Emmons
- Advanced Algebra II: Activities and Homework
- by Kenny Felder
- The Sun Who Lost His Way
- Tania is a Detective
- by Kanika G
- Java 3D Programming
- by Daniel Selman
- The Java EE 6 Tutorial
- by Oracle Corporation