Masayoshi Son, the Softbank CEO, has forecasted that 2047 will be the year of technological singularity. Humanity will witness how a single computer fragment will tantamount to 10, 000 of its kind. For him, artificial superintelligence can be dealt with by human beings when making a life of enhanced quality for the whole humankind.
The CEO’s Calculation
Softbank is a Japanese telecommunications colossal whose CEO, Masayoshi Son, has been known to be precise and successful with his prophetic visions when speaking of technological singularity. Son foretold that machines will have the ability to outshine the intelligence of humans by the year 2047. He made this prediction while giving a speech in Barcelona at the ongoing Mobile World Congress. He once said the similar technological prophecy at the ARM TechCon, which happened in 2016.
Son made a claim which is beyond belief regarding the next three decades. He claimed that it would be the time when the computer fragments in our footwear will be a lot brilliant than our brain. We will be having shoes smarter than our brains, he declared in his MWC speech. A single computer chip will have 10, 000 IQ equivalent. That is expected to be ahead of human intelligence, which is only at a rate of 200. This technological advancement is something he branded as “superintelligence”- intelligence incomparable to a human’s and is highly possible in 30 years.
Will it be like a battle between humans and computers then? Son doesn’t quite agree.
The Japanese CEO has parallel views with Elon Musk and perceives that this artificial intelligence possessed by machines will complement the intelligence of human beings. Son remarked that superintelligence should be seen as a colleague and not a rival. If human beings use it efficiently, it will be helpful for us, he added.
Many people have teamed up, guaranteeing that this golden age of artificial superintelligence will profit humankind. Bryan Johnson, the founder of Braintree, is putting in a hundred million dollars to fund and carry out researches on the human brain. These studies aim to produce neuroprostheses that permit us to boost human intelligence to cope with artificial superintelligence.
Johnson divulges his plans and states that the process revolves around co-evolution. He assures that the association with these inventions on intelligence will have a certain perimeter which is contained only in screens, voice commands, keyboards, and gestural interfaces. The limited access we have with our brains will limit our skill to co-advance with computers and other hi-tech machines.
Kernel, the name of Johnson’s company, desires to make certain that we have a flawless demarcation point with our present knowledge and technological singularity.
The Machines Hold the Digits
Along with Son’s forecast of technological singularity is the engineering director of Google, Ray Kurzweii. Son gave out his predictions according to the comparisons of the neuron digits in the brain of a human to that of transistors in a computer fragment. He evaluates both as having binary systems that function by switching them on and off.
Son thinks that in the year 2018, the digits in the transistor will exceed the numbers of brain cells. This is very improbable to happen, especially that there are discoveries in the aspect of microchip technology outdoing Moore’s Law. The Japanese CEO estimated that the brain cells in the human brain are around 30 billion. This number is a lot lesser than the estimated number of 86 billion neurons assumed by many.
Son, however, seems to shrug this off as he said that the computer chip in the following 30 years would have a huge leap of a million times more than the human brain’s number of neurons. He even boldly claimed that these computer chips would be a lot more intelligent than human beings, and when used complementarily with our lifestyle, it can change us for the better.
Mr. Jaycee De Guzman holds a degree in Computer Science. The machine language is his favorite among the several languages he can fluently speak and write with. As a self-taught computer scientist, he is into computer science, computer engineering, artificial intelligence, game development, space technology, and medical technology. He is also an entrepreneur with businesses in several niches such as, but not limited to, digital marketing, finance, agriculture, and technology.