What is ChatGPT?
As our evolving efforts to deliver applications using ChatGPT, our understanding of GPT’s underlying identity has matured and evolved from the naïve perception we originally had. It is very important to refute the notion that GPT is an omniscient and omnipotent AI capable of anything. This characterization does not accurately capture the essence of GPT and can potentially lead to confusion about its abilities.
Better than a giant sober brain, the true nature of
GPT is far larger and more powerful than any known human brain. However, it is important to understand that this “brain,” like its human counterpart, has limitations.
One of the fundamental aspects of GPT is its inherent large language model (LLM) design. As pioneers of such advanced technology, we were understandably fascinated by its ability to intelligently converse and generally generate logical responses, leading us to draw parallels with the omniscient AI often portrayed in science fiction. However, it is important to realize that despite its incredible capabilities, this artificial intelligence is modeled after the human brain, inheriting both its vast potential and its inner limitations.
GPT is not some know-it-all divine being, but an advanced technological tool. Understanding this fact and recognizing the true nature of GPT is key to using its capabilities more effectively and innovatively.
One of the most requested GPT mental performance tasks involves mathematics, the basic functionality expected of any computer system. However, when it comes to solving math problems using GPT, especially complex problems like multiplying two 50-digit numbers, it often falls short of our expectations. So the question is: Why is this sophisticated AI struggling with a task that any simple calculator can handle?
The key lies in understanding the brain model of GPT. Just as we humans have trouble calculating large numbers in our heads, so does GPT.Of course, what we do as GPT are estimates.
When we need to perform complex calculations, we usually resort to tools such as a pen and a piece of paper, which help us solve the problem and allow us to be more careful and attentive. Even then, without the help of more advanced tools like a calculator, errors are almost inevitable in larger calculations.
The same rules apply to GPT. When asked to calculate large numbers, we are essentially asking him to perform mental calculations without the aid of pen and paper, let alone a calculator.His inability to do so is not a sign of his limitations, but rather reflects the very human model he is based on.
Interestingly, when it comes to these “failures,” we often wallow in a sense of superiority and enjoy the “gotcha” moment that validates our intelligence. However, if we consider a fair comparison where we try to mentally solve the same mathematical problem, the situation is reversed. Most likely, GPT would have surpassed our estimates and clearly demonstrated its superior computing power to us, other things being equal.
By understanding this feature and these limitations, we can better appreciate the true nature and power of GPT.This intelligent system was not designed to replace computers, but to mimic human cognitive functions with their incredible inherent abilities and limitations.
If you’ve been following the arguments thus far, it’s time to consider the implications. The fact is that GPT, modeled on our brain, in its “mind” can perform calculations with a speed and accuracy that exceeds our capabilities. This leads to a startling realization: GPT can be considered our superior, at least as far as mental arithmetic technology is concerned.
This, of course, leads to a follow-up question: “While I can hone my skills with tools to more accurately solve complex problems, can GPT do the same?” “The answer is definitely yes.