Rewiring the Internet for Ownership with Big Data and Blockchains

on YouTube ↗57m

" summary

Claim: retrofit the web for provable ownership by combining Python big‑data crawls, machine learning and the Bitcoin blockchain. Implementation crawls ~220 terabytes of text and indexes 13 billion images, builds fingerprints and similarity matching, and records registers/transfers via an open Spool protocol and Python libraries (pi‑spool, transactions) onto Bitcoin. Live system at ascribe.io exposes a REST API, wallet, provenance chain and loan/transfer flows, costs ~€0.03 per register, is already used by galleries and Creative Commons France, and returns discoverability and enforceable timestamps.

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" chapters (25)

1. 0:00Introduction
2. 1:11Digital ownership challenge
3. 3:58Why DRM fails
4. 8:51Copyright zone vs public domain
5. 10:55Web history limitations
6. 14:12Xanadu vision challenges
7. 17:59Why web won over Xanadu
8. 18:40Retrofitting internet for ownership
9. 19:01Solving the where’s my stuff challenge with big data
10. 20:50Ownership via blockchain terms
11. 24:41Ascribe’s tech stack
12. 27:09Spool protocol and Bitcoin design
13. 32:07Python blockchain libraries
14. 35:18REST API for marketplaces
15. 37:04Web app for creators
16. 39:07Live demo: register art
17. 41:59Galleries and museums adoption
18. 44:24Creative Commons impact
19. 45:27Summary and future
20. 46:36Q&A: atomic transactions
21. 48:01Q&A: loans and enforcement
22. 50:28Q&A: physical art tracking
23. 54:44Q&A: copyright transfer
24. 55:28Q&A: datasets and curation
25. 56:33Closing remarks

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