Consider Life After Dinosaurs

About 65 million years ago, dinosaurs ruled the world.  The frequently accepted theory is that
an asteroid or comet hit the earth on the Yucatan Peninsula and caused such distruction that
the dinosaurs were made extinct.

With the passing of the dinosaurs, the mammals had a better chance of dominating the world.  
In particular, humans eventually evolved and the world is now controlled by the semi-intelligent
species called homo sapiens.

Now a new problem is emerging.  It seems that the humans have taken the role of the
dinosaurs of olden times.  Humans virtually strut around like they own the place and with their
strutting comes damage larger than that of a T-rex tail flailing around.

What must we do with the humans so that the next species can take their rightful place at the
head of the table?

http://www.youtube.com/watch?v=AeRAvDyi86o


Evolutionary anthropologist Robin Dunbar claimed the size  of the average human's social
network is 148 - correlating the size of the average human neocortex vs that of a primate & the
size of species' social groups. Dunbar also said that in order to maintain a cohesive group,
42% of the group's time would be devoted to social grooming. Does nit-picking count? Clearly
I'm going to have to unfriend a lot of 'friends' on Facebook...

"End of the age of silicon in maybe 20 years." Says Dr. Kaku.  The man who preaches 10 or
11 dimensions in his string theory has forgotten the third dimension in integrated circuits. We
now have started to stack layers upon layers.  In 2010 we already had 2 billion transistors per
layer.  How many layers will we stack by 2020?  How many transistors per layer?  Jeopardy is
just the beginning of the march toward 2030.  By 2020, it should be very difficult for even the
non-scientist to live in denial of the fact that the robots are coming.  By 2030, we should have
the intelligence of a human being down to a very affordable price.  You think we have human
unemployment now....just wait.

Watson is a triumph of the branch of AI called “natural language processing” (NLP) which
combines statistical analysis of text and speech with hand-crafted linguistic rules to make
judgments based on the syntactic and semantic structures implicit in language.  Watson is not
an intelligent autonomous agent like a human being, that reads information and incorporates it
into its holistic world-view and understands each piece of information in the context of it own
self, its goals, and the world.  Rather, it’s an NLP-based search system — a purpose-specific
system that  matches the syntactic and semantic structures in a question with comparable
structures found in a database of documents, and in this way tries to find answers to the
questions in those documents.

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