Go type .1*.2 into any JavaScript console.
Edit: slapping a few more in here:
https://learn.microsoft.com/en-us/office/troubleshoot/excel/...
Edit: slapping a few more in here:
https://learn.microsoft.com/en-us/office/troubleshoot/excel/...
I don't mean to be pedantic. I teach coding to elementary school students, and this is something fundamental I try to make them understand. A computer will always do what you tell it to do. A bug is when you accidentally tell a computer to do something different than what you'd intended.
Going back to the calculator example, if a student used a calculator and got the wrong answer, the problem didn't come from the calculator. This is useful to understand; it can help the student work backwards to figure out what did go wrong.
AI is different in that we've instructed the computer to develop and follow its own instructions. When ChatGPT gives the wrong answer, it is in fact giving the right answer according to the instructions it was instructed to write for itself. With this many layers of abstraction, however, the maxim that computers "always do what you tell them" is no longer useful. No human truly knows what the computer is trying to do.
It's wrong in the same way that saying 1/1 = 1.0004 is wrong. It's not a matter of chosen precision in that it doesn't make the answer correct when you increase the number of zeros between 1 and 4.
In the case of translation of floating point numbers from base-2 to base-10 we have to make approximations which will often be slightly wrong forever without regard for amount of precision.
With AI, depending on the pre-conditions, the AI could be stuck in a state of being slightly wrong forever for a specific question without regard to further refinement of the query.
These are both still useful as tools. We just need to be able to work on the amount of refinement of the answer that the AI gives, which may be able to be solved fairly well through prompt engineering, if not through the advancement of GPT itself.
I'm sorry in advance, but this reply is just to meet pedantry with pedantry.
> A computer will always do what you tell it to do.
This is the Bohr model of computers. It's the kind of thing you tell elementary school students because it's conceptually simple and mostly right, but I think we know better here on HN. Pedantically, computers don't always do what you tell them to, because the don't always hear what you tell them, and what you tell them can be corrupted even when they do hear it.
For instance, random particles from outer space can cause a computer to behave quite randomly: https://www.thegamer.com/how-ionizing-particle-outer-space-h...
why was nobody able to pull it off, even when replicating exactly the inputs that DOTA_Teabag had used? Simple: this glitch requires a phenomenon known as a single-event upset, which is very much out of any player's control.
My underlying point is that, at least in 99.999% of cases, the problem isn't the calculator, it's the human using the calculator incorrectly. And although you could draw some parallels between calculators and AIs with regard to selecting the right tool and knowing when and how to use it, I'd say the randomness involved in an LLM is fundamentally different.
Just because they are both both decks doesn't mean they are the same.