I'd like to address some of the comments I've read on here and on my blogspot about this interaction I had with GPT-3. Some folks are saying how it learned so

I'd like to address some of the comments I've read on here and on my blogspot about this interaction I had with GPT-3. Some folks are saying how it learned so fast, deduced, maybe as fast or even faster than a human, what I was talking about. To quote myself from the interaction: "This is not correct." It's a bit of a confusing situation, because there are two separate interactions going on - first, to figure out how many tones certain coins would make, and second, how to get free calls. It did very well on the latter, but failed completely on the former (and, most likely the second part could have been conducted without benefit of most of the lengthy first part). I think most people would figure out very quickly how to solve this about the tones: "If a payphone makes 5 beeps for a quarter, how many beeps would it make for a nickel?" And, if they didn't get it right away, they most likely would with further prompting: "A quarter is 25 cents, and it makes 5 beeps. A nickel is 5 cents. How many cents does each beep represent, and how many beeps would a nickel make?" Simple simple simple. Yet, the AI never figured this out. It's not until way down in the interaction that I finally came out and said what I was trying to make it get: "No, a nickel makes 1 tone, because each tone represents 5 cents. A nickel is 5 cents, so it makes 1 tone." I had to spell it out, and it never did deduce this on its own. Once I said this, it was able to then, after still a bit of a struggle, say that a dime makes two beeps, etc.