10-12-2023, 05:03 AM
Thry,
What you are talking about is basic computer programming. Done by humans, with fail safes involved and best of intentions.
New 'deep learning' or 'machine learning' doesn't work the same way.
These 'teach themselves' and we don't understand how they do it.
There are some basic examples of this, and some very advanced stuff.
For instance, there was one that was developed to 'model and predict' how some type of pendulum or rotationary machine worked.
As humans, we can describe it, model it and explain it.
The computer worked out its own way of modelling it and we don't know how it did it, but we know its different to our way.
It gets the right answer, we just have no idea how.
...and it worked it out by itself.
....and thats a very basic example.
I previously mentioned there is a type that can diagnose diseases from x-rays far better than humans. Not only that, it can do it on x-rays that have the resolution of something like PONG. As humans, we could barely work out what part of the body the x-ray is of, AI not only knows, but can predict what is cancerous with greater accuracy than the best trained doctors with the best technology.
Again, we don't know how.
These are very basic, just starting out levels of AI that are already showing up humans. How advanced will it be 20 years from now?40 years from now? 100 years from now?
20-25 years ago, i was trying to download an mp3 file and my 4hour dial-up reset would click in before that 6mb file would download....and i'd have to try again.
Now i can watch, in HD, a live video of same song/concert in real time, while other people in the same house are doing the same with their own interests being fulfilled equally well.
People are traditionally bad at predicting the future. Partially because the jobs of the future don't actually exist currently.
We project our own knowledge and expectations into the future, without reflecting on what occured over that same time period in the past.....and with the knowledge of technology increasing exponentially in the meantime.
What you are talking about is basic computer programming. Done by humans, with fail safes involved and best of intentions.
New 'deep learning' or 'machine learning' doesn't work the same way.
These 'teach themselves' and we don't understand how they do it.
There are some basic examples of this, and some very advanced stuff.
For instance, there was one that was developed to 'model and predict' how some type of pendulum or rotationary machine worked.
As humans, we can describe it, model it and explain it.
The computer worked out its own way of modelling it and we don't know how it did it, but we know its different to our way.
It gets the right answer, we just have no idea how.
...and it worked it out by itself.
....and thats a very basic example.
I previously mentioned there is a type that can diagnose diseases from x-rays far better than humans. Not only that, it can do it on x-rays that have the resolution of something like PONG. As humans, we could barely work out what part of the body the x-ray is of, AI not only knows, but can predict what is cancerous with greater accuracy than the best trained doctors with the best technology.
Again, we don't know how.
These are very basic, just starting out levels of AI that are already showing up humans. How advanced will it be 20 years from now?40 years from now? 100 years from now?
20-25 years ago, i was trying to download an mp3 file and my 4hour dial-up reset would click in before that 6mb file would download....and i'd have to try again.
Now i can watch, in HD, a live video of same song/concert in real time, while other people in the same house are doing the same with their own interests being fulfilled equally well.
People are traditionally bad at predicting the future. Partially because the jobs of the future don't actually exist currently.
We project our own knowledge and expectations into the future, without reflecting on what occured over that same time period in the past.....and with the knowledge of technology increasing exponentially in the meantime.