Web 3.0: A Herd of Leaders

many cats

Google signaled the end of Web 1.0 Infrastructure and the beginning of Web 2.0 Information.

Is WolframAlpha signaling the end of Web 2.0 Information and the beginning of Web 3.0 Knowledge?

I have been thinking about the recent comments of Seth Godin about Social Networks on TED.com.  Personally, I believe Seth is behind the curve and that Social Networking is becoming a bubble as platforms are becoming commoditized and Social Network companies are springing up everywhere without properly thought out business models.  Eventually, venture capitalists will get wise, pull their money out and the bubble will burst.  Web 2.0 is dead.  Long live Web 3.o.

WolframAlpha.com is probably the Web 3.0 shot that is being heard around the world.  A new generation of search engine for a new generation of knowledge-based internet technologies.

Social Networks will continue to exist.  All of the small Social Networks will be gobbled up by the biggies.  However, the center is shifting from the profiling of Web 2.0 focusing on the needs of the business to gather customer information back to the needs of the customer to gather product knowledge.

Relational databases focused on the values, information.  Associational databases will focus on the connections, knowledge.

Look forward to a new economy and a new plethora of business models.

Web 3.0 is here.  Knowledge is Power.  Power is Leadership.  Knowledge is Leadership.


25 Bubbles: Information Technology


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