Over just a few months, ChatGPT went from accurately answering a simple math problem 98% of the time to just 2%, study finds::ChatGPT went from answering a simple math correctly 98% of the time to just 2%, over the course of a few months.
Ah fuck, it’s been scraping the Facebook comments under every math problem with parentheses that was posted for ‘engagement’
The masses of people there who never learned PEMDAS (or BEDMAS depending on your region) is depressing.
Pretty much all of those rely on the fact that PEMDAS is ambiguous with actual usage. The reason why is it doesn’t differentiate between explicit multiplication and implicit multiplication by placement. E.G. in actual usage “a*b” and “ab” are treated with two different precedence. Most of the time it doesn’t matter but when you introduce division it does. “a*b/c*d” and “ab/cd” are generally treated very differently in practice, while PEMDAS says they’re equivalent.
I see your point. When those expressions are poorly handwritten it can be ambiguous. But as I read it typed out it’s ambiguous only if PEMDAS isn’t strictly followed. So I guess you could say that it might be linguistically ambiguous, but it’s not logically ambiguous. Enter those two expressions in a calculator and you’ll get the same answer.
You actually won’t. A good graphing calculator will treat “ab/cd” as “(a*b)/(c*d)” but “a*b/c*d” as “((a*b)/c)*d” (or sometimes as “a*(b/c)*d”) and actual usage by engineers and mathematicians aligns with the former not the later. You actually can’t enter the expression in a non graphing calculator typically because it won’t support implicit multiplication or variables. While you can write any formula using PEMDAS does that really matter when the majority of professionals don’t?
Actual usage typically goes parentheses, then exponents, then implicit multiplication, then explicit multiplication and division, then addition and subtraction. PEI(MD)(AS) if you will.
Interesting, I decided to try it with a few calculators I had laying around (TI-83 plus, TI-30XIIS, and Casio fx-115ES plus), and I found that the TI’s obeyed the order of operations, while the Casio behaved as you describe. I hardly use the Casio, so I guess that I’ve been blissfully unaware that usage does differ. TIL. I don’t think I’ve ever used or heard of a calculator that supports parentheses but not implicit multiplication though. Honestly though, the only time I see (AB)/(CD) written as AB/CD in clear text (or handwritten with the dividend and divisor vertically level with each other visually) is in derivatives, but that doesn’t even count because dt and dx are really only one variable represented by two characters. I’m only a math minor undergrad though who’s only used TI’s so maybe I’m just naive lol
Or you take HPs approach and just sidestep the entire debate by using reverse polish notation in your calculators. From a technical standpoint RPN is really great, but I still find it a little mind bending to try to convert to/from on the fly in my head so I’m not sure I could ever really use a RPN calculator regularly.
Have we considered the possibility that math has just gotten more difficult over the past few months?
Why is “98%” supposed to sound good? We made a computer that can’t do math good
It’s a language model, text prediction. It doesn’t do any counting or reasoning about the preceding text, just completes it with what seems like the most logical conclusion.
So if enough of the internet had said 1+1=12 it would repeat in kind.
There are five lights!
Not quite.
Legal Othello board moves by themselves don’t say anything about the board size or rules.
And yet when Harvard/MIT researchers fed them into a toy GPT model, they found that the neural network best able to predict outputting legal moves had built an internal representation of the board state and rules.
Too many people commenting on this topic as armchair experts are confusing training with what results from the training.
Training on completing text doesn’t mean the end result can’t understand aspects that feed into the original generation of that text, and given a fair bit of research so far, the opposite is almost certainly the case to some degree.
Reminds me of that West Wing moment when the President and Leo are talking about literacy.
President Josiah Bartlet: Sweden has a 100% literacy rate, Leo. 100%! How do they do that?
Leo McGarry: Well, maybe they don’t and they also can’t count.
And it said simple math, too 🤣
This program was designed to emulate the biological neural net of your brain. Oftentimes we’re nowhere near that good at math just off the top of our heads (we need tools like paper and simplifying formulas). Don’t judge it too harshly for being bad at math, that wasn’t it’s purpose.
This lil robot was trained to know facts and communicate via natural language. As far as I’ve interacted with it, it has excelled at this intended task. I think it’s a good bot
This lil robot was trained to know facts and communicate via natural language.
Oh stop it. It does not know what a fact is. It does not understand the question you ask it nor the answer it gives you. It’s a very expensive magic 8ball. It’s worse at maths than a 1980s calculator because it does not know what maths is let alone how to do it, not because it’s somehow emulating how bad the average person is at maths. Get a grip.
Communicate? Sure. Know facts? Not so much.
Bro I wasn’t looking for a technical explanation. I know how they work. We made computers worse. The thing isn’t even smart enough to say “I wasn’t designed to do math problems, perhaps we should focus on something where I can make up a bunch of research papers out of thin air?”
We made computers worse
I know how they work
Yeah, clearly not.
damn, zing
It’s getting lazy
I’ve been regularly using ChatGPT these last weeks and can confirm it got indeed “dumber”
That’s because they paywalled the good versions, and only corporations get access to that one.
No, even corporations can’t get access to the pretrained models.
And given this is almost certainly the result of the fine tuning for ‘safety,’ that means corporations are seeing worse performance too (which seems to be the sentiment of developers working with it on HN).
Seems pretty plausible that the compute required for the “good” version was too high for them to sustainably run it for the normies.
Well, lots of people deleted their Reddit posts and comments. ChatGPT can’t find a place to learn no more. We got to beef up the Fediverse to help ChatGPT put. /s
