In one of my previous post I discussed whether the World is Ready for AI? Today I was reading this post with after a long time (more than 2 yrs) and asked myself this question whether we have made enough advancements in the comupting to make AI possible in near future. We have had faster computers, greater RAM and storage available on our laptops over last two years but we are still far from having the computing framework that can support AI.
The basic of computing is a bit that has two states 0 and 1. What it translates to is the computer always has a state of certainty ie whether it has something or it does not have. On a contrary our normal intelligence works on few more states. We operate on 3 states.
Our brain operates in a 3-dimensional space and that's what provides us the flexibility to process similar data differently. But on the contrary computers operate in a linear space and that limits the processing capability of the computers. A simple example is for computer a glass of water is a glass of water no matter how many times we feed this data in, but for humans the first glass of water is life saver (if we are thirsty) but the same is not true with the 30th glass of water if it is drunk in succession. The 30th glass may become a burden to drink. So the same data is interpreted differently here in case of humans.
What we may require is to think about the fundamental aspect on which our computing is based at. The basis of computing is 0 and 1, but we may need to think about a state where the computer can be in May Be state ie somewhere in transition. Once we have this third bit discovered and our machines are based on that, we may be able to feed consciousness and that will lead to natural intelligence in computer.
Until Next Time.
The basic of computing is a bit that has two states 0 and 1. What it translates to is the computer always has a state of certainty ie whether it has something or it does not have. On a contrary our normal intelligence works on few more states. We operate on 3 states.
- We know that we know.
- We know that we don't know
- We don't know that we don't know.
Our brain operates in a 3-dimensional space and that's what provides us the flexibility to process similar data differently. But on the contrary computers operate in a linear space and that limits the processing capability of the computers. A simple example is for computer a glass of water is a glass of water no matter how many times we feed this data in, but for humans the first glass of water is life saver (if we are thirsty) but the same is not true with the 30th glass of water if it is drunk in succession. The 30th glass may become a burden to drink. So the same data is interpreted differently here in case of humans.
What we may require is to think about the fundamental aspect on which our computing is based at. The basis of computing is 0 and 1, but we may need to think about a state where the computer can be in May Be state ie somewhere in transition. Once we have this third bit discovered and our machines are based on that, we may be able to feed consciousness and that will lead to natural intelligence in computer.
Until Next Time.
1 comments:
Your comment about humans being distinguished from machines by the ability to go beyond the two truth values isn't right. That's the entire point of computability, for instance. Some things are computably true, some are computably false, and still others are incomputable.
Similarly with the glass of water example, the idea that an input gives a different output depending on system state is standard in any state machine.
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