Chips wrote: ↑Sat, 20. May 23, 13:07
You've not defined what artificial intelligence is. "It doesn't have a concept..."
Since when does "concept" come into a definition of artificial intelligence? I specifically asked if it was an example of
artificial intelligence.
As I said, it's not possible to have a meaningful discussion when we're not even talking about the same thing is it
Instead of talking AI we've got "concepts" and "conceptualise". Unaware those were classic AI definitions.
By the same distinction music player is not intelligent, but various animals listening to music and starting to imitate or dance or even sing in their own way are intelligent.
So observing the animals dance or sing in their own way indicates intelligence. Okay...
https://youtu.be/BTYX34OYW-E?t=40
To some extend "concept..." could be understand as variable in coding language.
Human coder must input and define variables for current AIs, depending on the task they need to perform.
Intelligence would be, if we just dump a data set on the AI and it would be able to "conceptualize" the variables (some AI can do this) and task itself on it's own (this AI cannot do yet).
Music player is not intelligent, it just do the pre-programmed task of playing music.
Dog is intelligent, because when he hear human music, he's able to grasp human music concept (input) by extrapolating dog concept of social pack howling as closest analog (variables) - then he try to improvise (create and execute task of howling to human music).
Talking birds are even better example, because best of them are able to dynamically conceptualize human words meaning to things like objects, shapes, color, numbers.
You can ask Parrot - "bring me red circle cookie" and Parrot will fly and bring you the red circle cookie.
Shape reckognition cameras can identify red cicle cookie, but it's not dynamic, out of the box, but static (uploaded, defined and coded by human) - it won't connect on it's own to nearest mechanical arm to bring you the cookie, unless human specifically code this interaction - thus no intelligence.
In some narrow, very specific and technical way Machine Learning can be compared to Animal training.
The difference is that AI are static (narrow minded, limited by code, inflexible, no intelligence) and Animals are dynamic (more flexible due to intelligence).
To finish this - it's more likely we will have a revolt from "Planet of the Apes" long, long looooooong before we will ever be in danger of AI becoming AGI.