Ironic that an AI built on flawless massively parallel floating point multiplications struggles with arithmetic at a higher level.
Still incredible you can give it instructions like this in natural language.
It (sorta) explains this:
When you ask me to multiply two large numbers, the result I provide may not be completely accurate. This is because, as a language model, I am designed to generate natural language responses based on the input provided. I am not a calculator or a mathematical tool, and I do not have the ability to perform complex mathematical calculations with complete accuracy.
In some cases, when multiplying large numbers, the middle digits of the result may be incorrect. This is because the multiplication process involves carrying over digits and performing complex operations on large numbers. These calculations can be difficult even for humans, and they are beyond the capabilities of my underlying technology.
> Ironic that an AI built on flawless massively parallel floating point multiplications struggles with arithmetic at a higher level.
The same thing can be said about our brains though. Our neurons perform millions of calculations each day, but we can still struggle with doing a single on consciously.