Jackreece Ejini

Strong AI arrival scenarios

There are several scenarios through which Strong AI can arrive for humanity. Here are some that I find highly probable.

Human Intelligence

What really is human intelligence? I am not a fan of lifting other peoples definitions unless they resonate with me. People can make definite statements of certain things like in physics where we know that the definition of force is given by the equation F = MA, which is not revocable no matter how you contest it. It is a fact stated in math. It’s a fact as strong as 2 + 2 = 4. You cannot create another answer for 2 + 2 = 4 using the standard understanding of the basic arithmetic operators. You can create another operator that defines addition in a different way but the basic arithmetic operator cannot be changed.

Sometimes I wonder why programmers are hell-bent on writing programs that can communicate in natural language and not even putting adequate effort into writing programs that write other programs. Maybe is because of the natural tendency to protect one's source of livelihood by not attempting to automate it away or maybe because writing programs is hard enough such that contemplating of writing some program that writes programs might be even harder.

IQ TESTS

IQ tests were designed to assess individual capabilities for performing highly specialized tasks/jobs in society. it is the outcrop of a very narrow definition of intelligence which ignores large a swath of many other capabilities of the human mind. I guess Shakespeare would score high on verbal fluency and low on numerical skills.

CELLULAR INTELLIGENCE

Hebbian learning has eaten the world! Many people don’t want to know what is going on in the cell body of the Neuron. We have all narrowed our thinking to focus on connection strengths alone. Although modern deeplearning systems look nothing like human brains, the root idea behind the neural network based systems was that the human brain learns by adjusting connection strengths between brain cells. This core idea has been abstracted away to what we have now but it is still the root dimension that began this whole race of neural networks. In general, it is called the connectionist view of intelligence.

PATTERNS

What one person calls a pattern is very different from what another person refers to as one. Can we arrive at some kind of general idea of what a pattern is? It is my attempt to do so in plain words in this section.