Linear, Tabular and Netular Thought

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Gutenberg’s creation of the western version of the printing press is regarded as a revolution and in a sense it was.  Printing led to the transition of western thought from a theocratic 1300 year deductive flat world dark age to a 500 year inductive round world renaissance.  However, printing only lead to the presentation of greater amounts of information.  The real revolutions were the discoveries of Copernicus, Galileo, Newton and Einstein culminating in the General Theory of Relativity.  With the advent of Marxism the world slipped into the polarization of the Communist/Capitalist blocks and threw the world into another deductive flat world dark age that lasted into the 1990s.  The advent of the Internet and Tim Berner Lee’s World Wide Web has led to another renaissance back into inductive thought.  Worldviews are collapsing, however we are still to see a new worldview created by the new presentation of increasing amounts of information.  In fact, the Internet age is still trapped in the models of the age of the printing press, the most prevalent being linear (scribal literacy) data and tabular (press literacy) data.  Tabulation dominates information technology architecture and until it is abandoned we are still slaves to print.  The Turing Machine was a migration of existing printing press information technology architecture not an innovation in information technology architecture.  We have yet to implement fundamental change at the foundation of our technologies.  Until we are able to rethink, reengineer, mechanize, represent, store, process and present information as netular (internet literacy) data successfully, which has yet to happen, there will be no revolutions in human thought.

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25 Bubbles: Information Technology

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1. Service Oriented Architecture will create more problems than it will solve

2. Relational databases have reached the end of their innovative value

3. Object oriented programming is based on a fictional ontology

4. Unified Modeling Language is incapable of abstracting systems

5. Current enterprise architectures are conceptually naive

6. The world wide web is 80 percent data slum surrounding 20 percent data excess

7. The majority of communication on the internet has no goal or purpose

8. Business uses information technology to demonstrate due diligence and then ignores it

9. Merging scientific databases is useless because they have no consistent metrics

10. The central processing unit is an inefficient and ineffective brute force antique

11. Data has never been accurately and precisely represented, understood or stored

12. We do not understand the information technology of genetics

13. We do not understand the information technology of chemistry

14. We do not understand the information technology of physics

15. Information technology is simply a popular metaphor not the reality of the universe

16. Computerized climatological models have no predictive capability at all; our understanding of climate change is hindsight

17. Weather prediction is based on satellite images not computer modeling

18. Computer scientists have no idea what consciousness is nor does anyone else

19. Business models and data models are like oil and water
20. Silicon Valley and every corporation affiliated with it will not save the world

21. Science does not have its rightful place in information technology

22. Little information technology involves design, most of it is craft

23. Calling a programmer an engineer does not make a programmer an engineer

24. Calling a programmer a designer does not make a programmer a designer

25. There is hope, but the people who got us here definitely will not get us there