STUDENTS :
''' THIS ERA THUS '''
WE HAVE ARRIVED AT A ''POLYCENE'' MOMENT where binary systems are giving way to multiple interconnected ones.'' WELCOME to !WOW! - the exclusive and eternal ownership of every student in the world.
I SAT DOWN WITH MUNDIE for a series of tutorials on ' artificial intelligence.' I have been very fortunate over the years to have developed a network of experts on different subjects, whom I call tutors.
They have become both cherished teachers and friends, and Mundie, originally a supercomputer designer, has been a goto person on computing since 2004.
ONE of the first things he explained to me was that the holy grail of the A.I. revolution was creating a machine capable of ''polymathic artificial intelligence'' This would be a machine that was able to master:
Physics, Chemistry, Biology, Computer Science, Philosophy, Mozart, Shakespeare and Baseball better than any human could, and then reason across all of these disciplines at a high dimension level, higher than a human ever could, to produce breakthrough insights that no human ever could.
While some skeptics believe that we will never be able to build a machine that with truly polymathic A.G.I. many others, including Mundie, believe that it is a matter of when, not if.
This is a remarkable phase change in cognition that we are going through. We are moving from programmable computing - where a computer could only ever reflect the insight and intelligence of the human who programmed it - toward polymathic A.G.I.
That is where you basically describe the outcome you want, and the A.I. models insight, creativity and broad knowledge to figure out the rest.
We are shifting the boundary of cognition, Mundie argues, from what humans can imagine and program to what computers can discover, imagine and design on their own. It is the mother of all computing phase changes - and a species-level turning point.
THE MICROCHIP EVOLUTION : All of this was made possible by microchips evolving from binary to poly. In the binary era, chips processed data serially - toggling between 0s and 1s to execute one instruction after another.
In the poly era, chips can compute in parallel - with thousands of smaller tasks processed at once, each aware of and interacting with the others.
The big advance in parallel processing in the early 2000s is what made today's A.I. possible. It enabled computers to ingest huge amounts of data into their ''brains'' - their neural networks - and train themselves using billions of tiny settings, called parameters.
As an A.I. systems learns, it keeps adjusting these settings - like turning little dials - so it can recognize patterns, weigh alternatives and iteratively get smarter over time.
I have been tracking this change in computing for years from one of my favorite vantage points. When I want to understand how power is shifting in the world, my first call is rarely to the Pentagon or the State Department.
Instead, I visit Applied Materials in Silicon Valley. Applied makes the precision machines and material that allow companies like Nvidia, T.S.M.C., Intel and Samsung to manufacture the latest generations of microchips.
So very often Applied can see before anyone else which companies and countries are pushing the technological frontier and which are lagging.
My most recent tutors there have been the chief executive, Gary Dickerson, and the chief of staff, Tristan Holtam, who for years have been showing me how our ability to generate polymathic A.I. has been enhanced by creation of more polymorphic chips.
'' We've gone from monolithic designs to disaggregated ones - breaking up the chip into 'chiplets,' each with its own specialized role into then recombining them into one integrated system,'' explained Holtam. This he added, '' allows a single system in a package '' to contain many functions
Logic, memory, communications, graphics - coexisting and co-optimising together,'' resulting in much computing capability with less energy consumption.
The Honour and Serving of the Latest Global Operational Research on History, New era, A.I. Computing, Chips, & Applied Materials, continues. So many thanks from The World Students Society to Thomas L. Friedman.
With respectful dedication to Students, Professors and Teachers of the world. See You all prepare for '' Democratic Constitutional Convention '' on !WOW! : wssciw.blogspot.com and Twitter X !E-WOW! - The Ecosystem 2011 :
Good Night and God Bless
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