Deep Learning Is Shallow As Men Think What Machines Think!


2019 Facebook sharing. Scott Santens writes that "Deep Learning Is Going To Teach Us All The Lesson Of Our Lives: Jobs Are For Machines" (17 July 2017, Futurism, futurism.com); "We're leaving ourselves vulnerable if we insist on employment as our primary source of income."

Artificial intelligence, AI, teaching The Lesson Of Our Lives?
No, Sir, this is not a job for Supermind!

Is Mr Santens an AI expert? He says of himself:

I’m a writer at heart, but my educational background happens to be in psychology and physics. … my undergraduate focus ended up being in the physics of the human brain, otherwise known as cognitive neuroscience. I think once you start to look into how the human brain works, how our mass of interconnected neurons somehow results in what we describe as the mind, everything changes.

And so Mr Santens' mass of interconnected neurons, his mind, has been captivated, nay completely captured, by "Google's DeepMind AI" AlphaGo victories in playing the Board game Go over European Go champion Fan Hui (score, 5-0) and Lee Se-dol "(whom) many consider to be one of the world's best living Go players, if not the best" (4-1).

That's going gaga over Go and AlphaGo.

On 31 August 2016, I wrote about that game between Lee and AlphaGo ("Artificial Intelligence? AI is A1 (Ewan). I Go For Human Genius," Creative Thinkering, blogspot.com), the game which Mr Santens does not report completely and which Cade Metz did, saying that Lee "made a move that no machine would ever expect" and that "it was beautiful too." Mr Metz went on to say: "It showed that although machines are now capable of moments of genius, humans have hardly lost the ability to generate their own transcendent moments."

This time, Mr Santens goes whole hog for AI and says:

AlphaGo’s historic victory is a clear signal that we’ve gone from linear to parabolic. Advances in technology are now so visibly exponential in nature… most notably in forms of artificial intelligence limited to specific tasks, we are entirely unprepared for as long as we continue to insist upon employment as our primary source of income.

A good equivalent of parabolic is curvilinear – curving and linear. So what if AlphaGo has gone up from lines to curves? What AlphaGo is good at is only critical or logical thinking: serial, chronological, sequential, hierarchical, numerical, mathematical whatever. Not creative thinking, not what I call Creative Thinkering. Metal, not Mental.

I now quote myself from 2 years ago in that essay:

The computer mind AlphaGo is just calculating moves with the speed of nanoseconds using built-in logic by programmers thinking logic. AlphaGo cannot by itself create a move that defies its own programming, unlike a human, which can make an illogical, seemingly crazy insight – and that would be brilliant as it would be genius. And outside of logic.

The Lesson of Our Lives is this:
Repetitive jobs are for machines.

The Future of Metal Thinking will always belong to Machine.
The Future of Mental Thinkering will always belong to Man!
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