They already did that with visual basic and excel. Anyone remember when excels math was, just sorta right?
How long back? IEEE 754 floating point was released the same year as Excel v1, and it’d be a while before there was hardware support. Floating point numbers were often dodgey back then on just about everything.
excel math is fine if you use the syntax correctly. Its problems are mostly assume many number inputs as dates and other performance issues. Doing math wrong is not one of them.
No there were math errors. Was it using statistical functions? I can’t recall, I just know we had to double check everything.
Yeah, some of the answers it produces are very questionable. The implementation of a lot of the stat functions is super-naive and not very stable in borderline cases. Take the standard deviation of three identical numbers, get an answer which is nearly-but-not-quite zero. They’ve also refused to improve their algorithms as it might break existing customer worksheets.
Obviously, the problem is that you’re asking the wrong questions. The AI is infallible. We just need to get the end user to accept that sometimes 2+2 = 5. Just depends on what Big Brother tells you.
So we lost our freedom?
it was a reference to: “Freedom is the freedom to say that two plus two make four. If that is granted, all else follows.”
Freedom is being able to say that 2 + 2 = 5 without being made fun of.
that’s not what the quote says, and, freedom is also being able to make fun of someone saying that 2 + 2 = 4
That’s a great question! I’ll be happy to help you count the lights. I see five lights.
Here are a few ways you can improve indoor lighting:
That’s a great question! I’ll be happy to help you count the lights. I see five lights.
This symbolizes the fact that for the last five hundred years white people have been victims of genocide in South Africa.
Would you like to learn more?
And… a shrubbery!
Somewhat off-topic, but that’s the first time in a long time I’ve read a random article on the internet and just instantly liked the writer’s writing style without respect to the topic.
That was a depressing article, but a very enjoyable read.
I also enjoyed their writing.
Nvidia, currently propping up the market like a load-bearing matchstick
Loved this 😂
I really need to start actually reading articles and following authors instead of just scrolling through headlines.
This is totally expected and also absolutely peanuts compared to Intel, who once released a processor that managed to perform floating point long division incorrectly in fascinating (if you’re the right type of nerd) and subtle ways. Hands up everyone who remembers that debacle!
Nobody? Just me?
Anyway, I totally had — and probably still have, somewhere — one of the affected chips. You could check if yours was one of the flawed ones literally by using the Windows calculator.
Hah! That was my first thought, too, when I saw the headline.
@dual_sport_dork @silence7 good times
I remember having to compensate for the Pentium float bug in the Turbo Pascal programs I was writing back then. I really didn’t understand what I was doing at the time, and the 90s version of StackOverflow (A Tripod blog?) wasn’t that enlightening…
If I remember correctly the Intel floating point thing didn’t come up as a negative for most users like AI does.
Does AI comes up negative for most users? Surely here in Lemmy, yes. But out there I see/hear people using it -for dumb shit, mind you- all the time and being happy about it.
This is only one study, but I saw an article a few months ago talking about a study by a major phone company that found that the vast majority of people (80% or more IIRC) either didn’t care about AI features on their phones or actively disliked them.
I think most people don’t really care one way or another but hate that it’s being shoved into everything, and those who know the stats on how often it’s wrong are a lot more likely to actively dislike it and be vocal about their dislike.
That sounds quite possible, AI features on phones/OSs go mostly unused –according to my study, which has a sample of size who the hell knows and a methodology of I feel–.
But llms I think, although burning money, are quite accepted by the people who touch them, and do not understand what is actually going on or don’t care if the thing is wrong often.
I sometimes use llms, but only to burn thru monkey work that I can fast and easily review and do if the result is too shity. But that is the extention of my ai use.
A lot of people are fine with getting wrong answers about shit they don’t know already. That’s what gets spread in social media and what was used for a large portion of the training data and what is available when AI does a web search.
It presents something that looks right, that is what most people care about.
Making a few digits worth of wrong division way down in the not very significant bits of the answer, is way better than encouraging all your users to use an LLM to generate the answers for their quarterly reports / tax forms / do we have enough food for the winter calculations. The Pentium division fuckup was barely worth fixing unless you were doing some kind of numerical analysis or simulation or something, which is why it slipped past all the testing initially. This is astronomically worse of a fuck-up.
They even say not to use it for financial calculations or high stakes scenarios. They can’t provide an example of using it in any way that is useful for getting actual work done. It’s a solution in search of a problem.
Yeah, and I’m only supposed to use this bong for smoking tobacco. It said so very very clearly when I bought it so you know they mean it.
Oh no, I remember that well. I was in high school 👴
If only that recall had actually bankrupted the company. I wonder where we would be today…
But we can’t bankrupt Microsoft. Bill Gates can jump over a chair.❤️
They’re talking about another company
OEM Problem, right?
Can you expand on this question? I don’t understand.
The floating point bug we are talking about was in Intel Pentium processors. Also we need to bring back that news clip of Gates more often.
I remember too, buddy. It’s important to never forget.
Edit: oh, I guess it’s important to forget.
Best headline of the day. I like it a lot.
Imagine buying a car that works great except every now and then when you want to turn left it goes right. No one would willingly buy that.
deleted by creator
teslas just locks onto pedestrians and accelerates.
Turn alt right by design/feature?
A worthy successor to the 65535 Excel bug.
even then the number was actually stored correctly, it’s just excel lies to you and shows you a different number.
This AI will stack wrong calculations on top of wrong calculations and cascade everything.
One of the many random numbers that live rent free in my head lol
There is nothing random at all about that number! It’s the largest number that can be represented by sixteen bits, i.e., (2^16 - 1).
Every number is random.
No
Microsoft announces new Chief Accuracy Officer, Jack Handey
Mr. Handey has released a statement:
Instead of having “answers” on a math test, they should just call them “impressions,” and if you got a different “impression,” so what, can’t we all be brothers?
"If you ever fall off the Sears Tower, just go real limp, because maybe you’ll look like a dummy and people will try to catch you because, hey, free dummy.”
“If trees could scream, would we be so cavalier about cutting them down? We might, if they screamed all the time, for no good reason.”
-Jack Handy
That’s a brilliant quote
Jack Handey was an SNL writer, “Deep Thoughts” was a series of one-liners that aired between sketches in the early 90s.
His books are also fun, The Stench of Honolulu was good, the opposite of a hard-boiled PI.
Loved finding out he was a real person and was a legendary writer.
Oh shit, I always thought it was a fictional name that the writers used for the random stuff that come up during the writing process. Didn’t know it was a real person!
Holy shit, he created Toonces!
This has completely changed everything I ever held dear and holy.
I always thought handy was a Hartman character and was him reading.
To find out it was neither Hartman’s character nor his voice is … everything was a lie.
SNL had a bunch of absolutely legendary writers. Jim Downey is another one
“Hmm. I wonder. I was thinking of dancing trees. Now I’m wondering what’s next. Screaming trees. Yeah. That’s got to be the answer. Screaming trees.” - private notes by Hans Reiser, filesystem designer and a convicted murderer
(OK, that’s a fake quote. This one is real:)
“Trees have their roots pointing up. And if you cut a tree apart, you get a forest. No, I’m not drunk.” - one of my computer science profs, on data structures
Ah yes Mr Engineer my impression of this structural assembly is it’s okay but could be really better over there. No need for a second impression.
They did this with Windows calculator already long ago.
IF THEN MAYBE...Y’all better get used to doing your own math to check other people’s math.
My math teachers always told me that “math is not an opinion”.
I’d like to see them now defending that!
Lemme guess. It’s “AI Integrated”
Oh, it’s the old “Calculation is futile. You will be… approximated!”
Man, all those saps that started studying AI thinking it was necessary are in for a rude awakening.
I’d almost feel bad for them, if they weren’t so eager to follow the memes while making the digital space worse for all of us.
BuT hAvE yOu HeArD aBoUt AgEnTiC wOrKfLoWs?!
Depends on what studying AI you mean. The whole ML field is still very much have its uses, the ones that would have a rude awakening are the ones “studying” how to do “prompt engineering”
