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Posted

Which should I focus my time on if I were trying to build an AGI? Intelligence research or cognition research?

Posted
10 minutes ago, ALine said:

Which should I focus my time on if I were trying to build an AGI? Intelligence research or cognition research?

Intuitive answer;
Study whatever gets you a job at one of the large companies that invests heavily in the area. Stay healthy and hope to live very long. Expect failure.
Or
study biology and philosophy; aim for AGI not based on current (currently hyped) concepts. Be prepared to fail.

Assuming AGI=Artificial general intelligence

Posted

thank you, I should have specified. "Artificial General Intelligence" yeah.

Posted (edited)

Just curious: 

54 minutes ago, ALine said:

build an AGI

Do you mean to build one as a private initiative, keeping it secret, to be part of a team that manages to create the first one, or something else?

Edit: just noted another thread providing details

Edited by Ghideon
Question obsolete due to another thread
Posted

I want to try and throw myself at the hardest problem possible so I can go on a life long journey.

Posted
29 minutes ago, ALine said:

I want to try and throw myself at the hardest problem possible so I can go on a life long journey.

..before you can walk, you must learn to crawl.

Starting with difficult problems at the beginning causes loss of interest, burnout and overall failure.

 

Posted

 

3 minutes ago, Sensei said:

..before you can walk, you must learn to crawl.

Starting with difficult problems at the beginning causes loss of interest, burnout and overall failure.

 

Cool, what did you have in mind?

 

Posted
6 hours ago, ALine said:

Which should I focus my time on if I were trying to build an AGI? Intelligence research or cognition research?

Neither. I recommend poetry, instead 

  • 4 months later...
Posted (edited)
On 5/15/2024 at 9:24 PM, ALine said:

Which should I focus my time on if I were trying to build an AGI? Intelligence research or cognition research?

Biology research.

Because the only AGI model that actually work worldwide and within a lot of species is made of cells.

 

In fact, and i only give you my opinion here, the intelligence provided by biological network is probably primary only a side effect of some other more profund behavior.

Like the feather was at the first place used to do temperature regulation leading to flight.

Here the brain was at the first place used to connect actor to sensor without "overheating", leading to complex prediction ability.

The prediction ability that makes "the brain" (of all kind) effectiv within "mental tasks", is initialy the mean the cells have found, at organization level, to reduce the flow of current from sensor to actor. Unless the simple computional model of the neural network, the biological network is working fully parallel. The cells have to be seen as agents working together, sending current to ...counteract the sensor current.

Per example, you get a current coming from sensor every 1 second.

The brain cells organize themselves to create a counter current every 1 second, so as to stop the current entering the brain by sensors (or other group of cells)... or it would heat (in fact it would accumulate charges too much and this would kill the cells or at least hinder the sending of the sensor)

Therefore, when the sensor stop to send the current, the brain send the same current, but this time it is not counteracted, so it act as "a surprise" => A "new Knowledge" is the ability to identify à disrupture in standard condition., and a "knowledge" is the structure itself that permit to cancel the disrupture in standard condition.

Knowledge is structual.

The brain notice a change in the "pattern", the normal behavior of the sensor (or other group of cells) and this is how "it knows" that somenthing NEW occur.

Then the cells LEARN again (organize themselves to send current) to counteract the new pattern of current, and so on, leading to electroneutrality.

This is why you have WAVES of current in the brain (alpha, beta,gamma etc) and nothing of that kind in the computational model of neural network.

 

The thermoregulation or more generaly speaking the homeostais is the key in both cases because it gives an évolutionary advantage to have steady temperature and steady current flow. So the mental ability is a side effect of the homeostasis using the brain cell...like the flight is a side effect of the homeostasis using the feather.

[QUOTE ]Thermoregulation is a homeostatic process that maintains a steady internal body temperature despite changes in external conditions.

Maintaining a body temperature within a tight range (between 36.5 to 37.5°C) allows for the enzymes and immune responses of the body to maintain proper functionality.[10]30 juil. 2023
[/QUOTE]
 
The brain try to maintain homeostasis DESPITE of changes in EXTERNAL conditions (... and internally of course too because the brain is big)
And this is what we call intelligence at a cellular level => the ability to maintain the structure DESPITE of "external agression."

 

Some kind of proof of this is that, if the brain can not recognize a pattern from his external sensors (internally it is already organised, so the information coming from it has necesserally a pattern unless illness), ... because there is no pattern at all (behavior tests have been done with cats per example)...then it faces what we call stress,

This kind of stress is deadly, leading to brain damage at cellular level, and also to every other organs connected to the brain.

High level being, like humans, have of course developped some behavior to reduce somewhat the effect of such random "blank noise" but the effect has to be taken seriously.

Per example one possibility to evacuate the current that has not be internally counteracted, is to send it to the actors without delay, therfore the laughting, using musculatur near the brain is some good way to do it.

Nervous laugthing when stressed or even when "surprised" by something new  and unattended (what we call a joke), is common in human behavior.

Evacuating the current by this ways in the meantime the brain organize itself is very efficient.

 

 

 

 

 

 

Edited by Harrot

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