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Saved by @SteveeRogerr

Does artificial anthropocentric intelligence lead to superintelligence?

 When I use the term Artificial General Intelligence, my meaning of 'General' comes from the psychology definition of the G-factor that is tested in general intelligence tests.
It is an anthropocentric measure. The question that hasn't been explored in depth is whether a "human-complete" synthetic intelligence leads to a superintelligence. The prevailing assumption is that this expected.
I am going to argue that this assumption may not be true.
The assumption that goes into AGI automatically exploding into a superintelligence is driven by the bias that human intelligence is perceived at the pinnacle of all intelligence.
Humans, like all other living things with brains, have their cognition forged by their umwelt and their environment. Our cognition is the way it is because it is what is suited for the niche we evolved into.
We have not evolved into high speed symbolic and math processors because in most of the 200,000 years of human existence, this skill wasn't that important. Computers are certainly better than us in many tasks of a cognitive nature.
Instead of evolving to achieve a capability, humans have the ability to create tools to compensate for a lack of ability. We have invented computers because we are very error-prone and slow computers.
A synthetic general intelligence is a kind of automation that is able to understand our intentions. It is also something that is autonomous and understands the social context that it is in. It is not something that computes fast, we already have that in computers.
These are cognitive skills that are useful for humans, but they aren't necessarily the same skills that might be needed for solving all kinds of complex problems.
As an illustration, AlphaZero is better than its predecessor AlphaGo because it trained from scratch without human gameplay as its training set. It plays in a way that is not encumbered with the bias of human play.
Human cognition is loaded with a lot of excess baggage that evolved over eons. A human-complete synthetic would also share these biases. After all, to understand a human one has to be in a framework of being a human. Human biases and all.
Like AlphaGo, these biases may hinder performance. In Star Wars, there's this droid C3PO that is meant is billed as a protocol droid for 'human cyborg relations'. That is what a synthetic AGI will likely be.
That bridge between humans and yet another kind of specialized intelligence.
Therefore, for a superintelligence, an AGI is more like a module that's required for relating to humans. It's an appendage and not core functionality.
But... this can't be true! Humans are the pinnacle of intelligent life, our cognition cannot be something meant only for the periphery. I'll say the objection here is a consequence of our all too human anthropocentric bias.
@threadreaderapp unroll

More from Carlos E. Perez

Carlos E. Perez
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@IntuitMachine
In physics, energy is that which is causally invariant or symmetric with respect to time. Said differently, energy is never created or destroyed, it is conserved in the universe.

Now there is a question about information. Is information causally invariant? Does information remain the same with respect to time? To understand this, let's first understand what energy is, then attempt to understand what information is.

The strange thing about energy is that it is this universal currency that seems to be interchangeable between the different forces in nature (i.e. electromagnetic, strong, weak and gravity). It is that thing that makes change possible.

Now let's assume that the universe is computational in nature. That is, anything we see in nature is a consequence of computation. That is, there is computation underneath the physics that is driving the universe to change.

What does it mean then that information is conserved in this computational universe? Also, how is energy conservation related to information conservation?
SOCIETY , SCIENCE
Carlos E. Perez
Carlos E. Perez
@IntuitMachine
It is astonishing that most of cognitive science ignores an obvious reality. That there are two kinds of humans.

Tomasello has a very credible hypothesis that what distinguishes humans from the great apes is the inclination towards shared intentional behavior. What is innate is the disposition and like personalities, it is what defines our cognition as we grow.

If cognitive preference is so critical in cognitive development then why is it that we seem to have completely ignored the difference in cognitive preferences between men and women?

Humans are that species of primates that wandered out into the savannah. The savannah is different enough from a dense jungle to exert the evolutionary pressures that encourage the development of planning and forecasting skills.

Furthermore, human infants required a disproportional amount of effort to rear. This meant the specialization of roles between women who were responsible for rearing offspring and men who were responsible for bringing home the bacon. Failure in either implied death.
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Carlos E. Perez
Carlos E. Perez
@IntuitMachine
We wake up each day with the same attention budget as everyone else. This is the one thing all humans equally share.

Spending that attention budget by doing this is what gives meaning to our lives.

It's is only through doing that we learn. It is only through learning that we find meaning.

Yet many of us waste attention budget exclusively on consumption. Seeking the random dopamine hits that tickle our curiosity. Yet we seek only the convenient things to do.

Activities that are convenient, that takes little effort don't consume a lot of attention. But enough of these small distractions will. But unfortunately, there's little learning taking place.
LIFE
Carlos E. Perez
Carlos E. Perez
@IntuitMachine
AGI Significance Paradox: As progress accelerates towards AGI, the number of people who realize the significance of each new breakthrough decreases.

Why is it that you can boil a frog in water without it jumping out if you gradually increase the temperature?

The problem for the frog is that it does not have the internal models to realize that there is a change in the water temperature. A cold-blooded creature like the frog has its temperature regulated by the external environment.

To recognize change, an agent must have an internal model of reality that is able to recognize this change. Unfortunately, a majority of the population do not have good models of human general intelligence.

In fact, even the simplistic dual-process model of system 1 and system 2 is not very well known.
SCIENCE
Carlos E. Perez
Carlos E. Perez
@IntuitMachine
Abduction is that thought process where we renew our past, question our present, and reimagine our future.

It was C.S. Peirce, a century ago, that coined the use of this term to describe a thought process that would convey hypothesis making.

A little over 50 years ago, proponents of Artificial Intelligence, proposed that deduction would be the core feature of human intelligence. This idea was driven by the bias towards formal logical systems and the emergence of computers.

This approach was in stark contrast to cybernetics (introduced a decade early) that proposed that dynamical systems were a model for intelligence. The descendant of this approach was coined as artificial neural networks.

This dynamical systems approach was later understood as being similar to an induction based thought process. Deep Learning leads to what can be characterized as Artificial Intuition.
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तो कद्रू बोली,"शर्त लगाती हो? इसकी पूँछ तो काली है"।
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