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The Web We Lost, and The Web We Must Rebuild
by Peter Wang
This site is a reflection on how the web (and really, how the internet as a whole) has failed. This serves as background reading and context for my interest in the emerging initiatives around "decentralizing the Internet", or the "peer-to-peer web".
I'm writing this for a technically sophisticated reader. I'm also writing this for myself, to help organize my thoughts on this topic, and to provide an intellectual breadcrumb trail; that's why I provide a "Further Reading & Sources" at the end of each section. I don't expect anyone to read every link, every piece of background material, but I have tried my best to cull & curate so as to present only the best of what I've read so far.
If you are already convinced that the current Internet/web is broken, you can skip ahead to section 3, "The Root Problems", to see if my formulation of what's broken and what's at stake aligns with your thinking.
Contents
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The Web In 2017 - Structural Failure At Every Level
- A Beastiary of Obvious Failures
- The Attention Economy, Servant of Growth Capitalism
- From Connection to Consumption
- The Chinese Model
- An American Model
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The Root Problems
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A Humane Network
- The Core Challenge - What is the right technological infrastructure that supplements, extends, and scales human networks, to achieve greater engagement, deeper trust, and emerges collective intelligence?
- Computer Networks vs. Social Networks
- The role of decentralized communication technology in bringing about a new, sustainable human ecology
- Sensemaking is not optional (draft)
- The Internet Is Too Much
- Anomie (in Clipped Articles Civ 2.0)
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What Comes Next
- What are current stop-gap tech approaches, and why are they not enough?
- 4 Layers of Fail
- Challenges for any distributed data application system
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Beaker and Dat
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Appendix A. What About _____?
- ZeroNet
- Matrix
- IPFS
- Fermat
- Urbit
- Ethereum (and ether-related, e.g. https://www.uport.me/)
- (Hardware stacks)
All contents within this site are copyright 2017 by Peter Wang, and licensed under Creative Commons CC-BY-SA.