Can we Learn From Vampires?

This question is raised by Freaconomics in its newest radio podcast - the transcription can be read here.

Immortal, unconstrained mobile and absolutely wise

Freakonomics likes the idea of timelessness, unconstrained mobility and the absolute wisdom. But then they question the economic side…

Jim Jarmusch made a great film about vampires: Only Lovers Left Alive. A quiet and dark film with a feeling of timelessness…giving the impression that any world is important. The two immortal lovers show us the highest culture of absolute wisdom, connectedness… 

But, how immortal and wise vampires ever are, they are caught to live at night, buy (at dark markets) or steal blood…whatever constraints they have removed, they are stuck to one rare resource…to get it they even risk to transform others into vampires and create competition...

In the film the lovers are close to die of hunger…not enough energy left to do what they need…in the last second they found the perfect victim…

Only the imperfect diversify…and live? 

The spotlight of the Nov-14 issue of the HBR Magazine is "Internet of Everything"

We strive for understanding and knowing everything. The phrase "internet of things" has arisen to highlight new opportunities exploiting new smart, connected products transforming data into knowledge.

But isn't absolute wisdom also absolute boredom? Isn't 'uncertainty good? Remember, we only learn from turbulences and gain from disorder. 

What are we going to do, if the data tell us everything? Will data become to us then the blood of the vampires? Will the vampires ever get a free market of real blood...will we get a free market of informative data?

Co-eveolution in the programming grid 

The internet of everything will help to establish a co-evolution of, say, weather forecasting and energy optimization...but for finance and economics we should not forget modeling, parameter identification, simulation…speculation and verification.

IMO, we need co-evolution at another level: co-program for new insight. Let our breakthrough explore new problems at a higher level…let us find abstractions from applying examples…and share ideas and skills.