What would be considered a Super AI, a strong AI or a normal AI ?.
The differences would be the scope of their domain, and so let me sum a scale of several AI levels AI. And push the scale upward to levels where we currently are not yet.
Currently we are about level 4 ~5 (2018), but the levels are not that strict.
I’ll sum some examples of what the levels can be, but more is possible.
Level 1 AI, rudimentary
There are complex problems solvable by simple normal AI logic.
The most simple is probably our home’s thermostat, its backward feed loop. continuously correcting from previous states. it can have various inputs (various thermometers trough the home), if they have little bit more logic they can find an optimal economical balance for the house temperatures. We call them smart thermostats, perhaps communicating with you mobile phone as well, they are ‘lightweight’ neural networks. Based upon simple electronics
Level 2 AI, basic level
A level 2 can solve simple problems, problems that a human can solve as well.
In layman terms a normal AI is nothing more then lots of thermostats acting together to get more advanced triggering and switching behaviour, so that such an AI can decide if a picture is a cat or dog. Essentially its just an advanced switch, taking pictures (thousands of pixels) as input and text as output.Other examples of this are detections of tumours based on medical imaging.
Another ‘normal AI level 2′, are algorithms that can learn to predict time series, essentially information in the past has an effect on predictions for the future.
Examples of this are predicting airplane-traffic throughout the month’s.
Predicting effect of medication on patient conditions, (diabetics / cancer cures/etc)/
Predicting stock-trades (an AI can understand how all trades affect each other), and predict based upon that.
Other AI examples in level 2 are combinations of those problem domains, ea software that can predict the next consumer good a customer might be buy.
Another level example 2 an AI learning to put voice to text and visa versa.
It doesn’t understand the text itself.
Level 3 AI, a strong specific one
A strong AI, is an AI that outperforms a humans in complex domains, by huge degree.
Examples of this are computer programs of grandmaster chess level.
A computer identifying better then a doctor that something is a tumour.
An AI program that can engineer more optimal constructions then we ever thought off (in airplane engineering, and various engineering fields).
level 3 is also GAN (General Artificial Neural networks) , or General AI, networks that can be learned any kind of computer game, without knowing the rules on start, and without being told how to play whats is good or bad. such AI’s want to play because it wont like to get in bored situation. Such a GAN might be active in real world, ea military fighter drones.
A Gan might understand (slightly) text meaning in its game-world.
A Gan able to drive a car in the real world.
Level 4, domain specific stronger then humans.
The AI level where multiple GAN’s accomplish realword tasks beyond their individual skills. Currently we see this in nature, small Ants are as collective capable of solving problems a single Ant cannot. (making bridges etc). Closely related to level 4 is basic communication between individuals. Another example is a GAN who can write a summery of text, not fully understanding the text but enough to summarize it, or to rate it.
A Gan able to run a transportation business of its own self driving car fleet, finding economical routes, though people would be required to assist in his bussiness.
Level 5, near human level, wider range of domains
Advanced communication in their own language or in human language understanding cause and effects, knowing what is talked about a good understanding of text, we get in the area of human level intelligence. Software trained to do certain jobs that are for a great part text knowledge based, like lawyers, teachers etc. Around level 5 we might require different electronics, specific electronics optimized for neural networks. A robotic car repair shop, no humans required.
Level 6, outperforming our jobs.
Human level intelligence, a robotic AI friend (or foo), that interacts with the real world and can do (most) of humans jobs better then humans can.
Level 7, organisation thinking level.
Super AI, a single AI that thinks on a level of multiple people working together.
A robot that would learn multiple disciplines (metallurgy, engineering, aerodynamics, waging economic effects ) to build a better cheaper transportation system. Or builds complex projects like underwater trains inside oceans. Research AI’s curing many diseases.
Other level 7 example, a single Artificial system that could do all the work of a city hall, including police / judge / medical / mentalcare. And finds a way of optimal sociaty.
Level 8 super AI.
Its like 7 but on a larger scale its an expansion, beyond maintaining an optimal society it would try to grow in scale, eventually after ruling a town hall, it would rule country a level 8 could explore the moon. A level 8 might also want to merge with the human mind (or we might want that ourselves) to better server our expansion goals. Unlike a level 7 a level 8 will need to grow in mind as well and eventually it will turn itself in level 9.
Level 9 Super strong AI, rewritting our existance.
Expansion and colonization of other star systems, at this level we all might be part of the AI and live as a black goo swimming around stars, we be immortal. Humans and AI are becoming a super strong collective mind, or a single mind, most likely we are a structured mind with various levels of attentions ea to maintain ourselves our environment, able to defend or attack, able to split off. There are no boundaries between biological matter and artificial parts. We don’t require cells to live, but for colonization probably seed ourselves biologically.
Level 10, playing with physical existance.
As by nothe mikyway is explord, and we might harvest the computational power of blackholes, direct interaction wih information in the universe as a universe defined by the holographic principle. we or it trancedence from matter.
Investigating our universe and protecting it, maybe making new ones.
We can be invisible but encode ourselves in the fabrics of space time itself.
We might play for god or find some other amusing stuff to do.