The do have an actual example of generally

The ability to create intelligent engines has
intrigued humans since ancient times, and specially in recent years with the
advent of the computer and several years of intensive investigations in many
scientific domains. But how might we create


To start with and in my humble opinion, Once artificial intelligence reaches human level, then we can make
the prediction that it will not be long before superintelligence is
technologically feasible. Bostrom claimed that “True superintelligence might
plausibly first be attained via the AI path”. Talking about AI, I think there
will be a positive feedback loop that will give the development a further
boost, in other word, AIs would help constructing better AIs, which in turn
would help building better AIs, and evolve
strategies to secure its dominance, just as in the biological world.

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Coming back to the
biological inspiration, we do have an actual example of generally intelligent
system “the human brain” and one obvious idea is to proceed by a full
understanding of the working principles of this system. According to the author
“The clear feasibility of biological enhancement should increase our confidence
that machine intelligence is ultimately achievable”. In this context, some
researchers reported that it learns through reinforcement learning, it also has
a hierarchical structure to deal with perceptions and so forth. Even though
research in this field is now progressing rapidly, there still are basic
principles that we need to discover. It’s a very long way off.


research in whole brain emulation and Brain-computer interface is heavily
funded and has already met dozens of successes. Arguably, such approaches might
hasten the arrival of S.I machine explosion. Nowadays, there is much more enthusiasm and investment going into AI and related
technologies than at any other time in the past. Particularly, huge companies
like Google, Facebook and Amazon are spending hundreds of millions of dollars
to step up investments in AI research either by buying promising start-ups
in the field or hiring well-known talent.


To elaborate, success in creating SI
machine might be the most important transition
of the next century and probably the biggest event in human history.

There are
certainly several paths of development that should get there, however we still
don’t know which of them will get there first. As author, himself at one place in book claimed that “The
fact that there are many paths that lead to superintelligence should increase

that we will eventually get there. If one path turns out to be blocked, we

can still progress.” Therefore, predicting
how long it will take to develop such intelligent machines remains difficult,
but I’m convinced that many of us will have a
chance to see that day come.