One of the somewhat subliminal and entirely unsubstantiated assumptions we hear is that more computing power will allow us to approximate human intelligence — that quantitative augmentation will lead to qualitative improvements in automation. No new techniques are proposed — Just the scaling of existing ones.

When we study functional MRIs, we see that much of the brain is at rest at any given time. We read pop psychology articles about awakening the untapped intelligence, as if the brain volume at rest is a flaw. We notice what is lit up, but we tend to ignore the possibility of purpose behind inactivity. Here's the question these assumptions trigger.

Can not thinking be a form of intelligence?

Many can see the intuitive attractiveness of the Buddhist idea that clearing the mind can lead to enlightenment. We wish we could be more logical and more intuitive. It's clear that there is no consensus about how to balance these intellectual goals. If we admit this intellectual agnosticism, we are more likely to move toward the greater understanding of what intelligence can be at its best.

Is it possible that more computing power is necessary only for a small segment of problem types when approached under the assumption that power is necessary? Will these current approaches be later seen as primitive and limiting? Might a more enlightened approach we haven't yet considered lead to excellent performance on low end mobile phones for entire classes of problems?

What new ideas show promise along these lines?

  • $\begingroup$ Spiritual intelligence can be investigated either for a single person or for a group of people which is called an Intelligence Human Resource Management System. Clearing the human consciousness is often the result of sleep which can be measured by Magnetic resonance imaging. $\endgroup$ – Manuel Rodriguez Nov 9 '18 at 12:40

I have lesser knowledge in biological part of this, but yes, more computational power could result in more intelligence.

  1. Lets take an example : Our brain has a specific number of neurons. These neurons are nothing but the computational units of the brain. There are approximately some billion neurons in the human brain.

  2. In near future, if we are able to map these billion neurons exactly in a computer then there will be a difference between the intelligence of the human and a computer.

  3. The human brain is not under our control. We can't control its expansion or its increase in its size. It has a fixed size and fixed computational power.

  4. Computers could even occupy a room or a building. They may hold a more billion neurons resulting in a much complex intelligence.

The above points are only applicable for a intelligence system which is based on neural networks be it natural or manmade.

The other intelligent systems which are based on reinforcement learning and problem solving may not imply these points. In their point of view, even a smaller system could hold intelligence as much a computer can hold.

So more computational power thus, can result in a much complex.


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