This is the technology worth trillions of dollars huh
I don’t think this gets nearly enough visibility: www.academ-ai.info
Papers in peer-reviewed journals with (extremely strong) evidence of AI shenanigans.
Submitted 23 hours ago by HarkMahlberg@kbin.earth to technology@lemmy.world
https://media.kbin.earth/c5/38/c538e178af17fa0c334cad0916ef9eb70c2e1829354eef4f2ce05bd53aa1f4be.jpg
This is the technology worth trillions of dollars huh
I don’t think this gets nearly enough visibility: www.academ-ai.info
Papers in peer-reviewed journals with (extremely strong) evidence of AI shenanigans.
✅ Colorado
✅ Connedicut
✅ Delaware
❌ District of Columbia (on a technicality)
✅ Florida
But not
❌ I’aho
❌ Iniana
❌ Marylan
❌ Nevaa
❌ North Akota
❌ Rhoe Islan
❌ South Akota
Gosh tier comment.
You just described most of my post history.
Everyone knows it’s properly spelled “I, the ho” not Idaho. That’s why it didn’t make the list.
They took money from cancer reaearch programs to fund this.
only cancer patients benefit from cancer research, CEOs benefit from AI
Tbf cancer patients benefit from AI too tho a completely different type that’s not really related to LLM chatbot AI girlfriend technology used in these.
After we pump another hundred trillion dollars and half the electricity generated globally into AI you’re going to feel pretty foolish for this comment.
I would estimate that Google’s AI is helpful and correct about 7% of the time.
Connecdicud.
Well, it’s almost correct. It’s just one letter off. Maybe if we invest millions more it will be right next time.
Or maybe it is just not accurate and never will be…I will not every fully trust AI. I’m sure there are use cases for it, I just don’t have any.
Cases where you want something googled quickly to get an answer, and it’s low consequence when the answer is wrong.
IE, say a bar arguement over whether that guy was in that movie. Or you need a customer service agent, but don’t actually care about your customers and don’t want to pay someone.
Isnt checking if someone was in a movie really easy to do without AI?
Just one more private nuclear power plant, bro…
They’re using oil, gas, and if Trump gets his way, fucking coal.
Unless you count Three Mile Island.
Connedicut
You mean Connecdicud.
What about Our Kansas?
Just checked, it sure does say that!
I would assume it uses a different random seed for every query. Probably fixed sometimes, not fixed other times.
You joke, but I bet you didn’t know that Connecticut contained a “d”
I wonder what other words contain letters we don’t know about.
The famous ‘invisible D’ of Connecticut, my favorite SCP.
That actually sounds like a fun SCP - a word that doesn’t seem to contain a letter, but when testing for the presence of that letter using an algorithm that exclusively checks for that presence, it reports the letter is indeed present. Any attempt to check where in the word the letter is, or to get a list of all letters in that word, spuriously fail. Containment could be fun, probably involving amnestics and widespread societal influence, I also wonder if they could create an algorithm for checking letter presence that can be performed by hand without leaking any other information to the person performing it, reproducing the anomaly without computers.
ct -> d is a not-uncommon OCR fuck up. Maybe that’s the source of it’s garbage data?
SCP-00WTFDoC (lovingly called “where’s the fucking D of Connecticut” by the foundation workers, also “what the fuck, doc?”)
People think it’s safe, because it’s “just an invisible D”, not even a dick, just the letter D, and it only manifests verbally when someone tries to say “connecticut” or write it down. When you least expect it, everyone heard “Donnedtidut”, everyone read that thing and a portal to that fucking place opens and drags you in.
Words are full of mystery! Besides the invisible D, Connecticut has that inaudible C…
Every American I know does pronounce it like Connedicut 🤔
Really? Everyone I know calls it kinetic-cut. But I group up in new england.
The d in Connecticut is between the e and the i. They don’t connect because it was cut.
Connecticut is Jewish?
Connedicut
I was going to make a joke if you’re from connedicut you never pronounce first d in the word. Conne-icut
The letters that make up words is a common blind spot for AIs, since they are trained on strings of tokens (roughly words) they don’t have a good concept of which letters are inside those words or what order they are in.
I find it bizarre that people find these obvious cases to prove the tech is worthless. Like saying cars are worthless because they can’t go under water.
Not bizarre at all.
The point isn’t “they can’t do word games therefore they’re useless”, it’s “if this thing is so easily tripped up on the most trivial shit that a 6-year-old can figure out, don’t be going round claiming it has PhD level expertise”.
Then why is Google using it for question like that?
Surely it should be advanced enough to realise it’s weakness with this kind of questions and just don’t give an answer.
Well it also can’t code very well either
Understanding the bounds of tech makes it easier for people to gage its utility. The only people who desire ignorance are those that profit from it.
I find it bizarre that people find these obvious cases to prove the tech is worthless. Like saying cars are worthless because they can’t go under water.
This reaction is because conmen are claiming that current generations of LLM technology is going to remove our need for experts and scientists.
We’re not demanding submersible cars, we’re just laughing about the people paying top dollar for the lastest electric car while plannig an ocean cruise.
I’m confident that there’s going to be a great deal of broken… everything…built with AI “assistance” during the next decade.
It’s very funny that you can get ChaptGPT to spell out the word (making each letter an individual token) and still be wrong.
Of course it makes complete sense when you know how LLMs work, but this demo does a very concise job of short-circuiting the cognitive bias that talking machine == thinking machine.
Well, for anyone who knows a bit about how LLMs work, it’s pretty obvious why LLMs struggle with identifying the letters in the words
Well go on…
They don’t look at it letter by letter but in tokens, which are automatically generated separately based on occurrence. So while ‘z’ could be it’s own token, ‘ne’ or even ‘the’ could be treated as a single token vector. of course, ‘e’ would still be a separate token when it occurs in isolation. You could even have ‘le’ and ‘let’ as separate tokens, afaik. And each token is just a vector of numbers, like 300 or 1000 numbers that represent that token in a vector space. So ‘de’ and ‘e’ could be completely different and dissimilar vectors.
so ‘delaware’ could look to an llm more like de-la-w-are or similar.
of course you could train it to figure out letter counts based on those tokens with a lot of training data, though that could lower performance on other tasks and counting letters just isn’t that important, i guess, compared to other stuff
I get the sentiment behind this post, and it’s almost always funny when LLM are such dumbass. But this is not a good argument against the technology. It is akin to climate change denier using the argument: “look! It snowed today, climate change is so dumb huh ?”
You do know that AI is (if not already) fast approaching a leading CAUSE of climate change?
While the environmental impact of AI is absolutely horrible I don’t think it is even in the top 10 of industries. Meat production, Transportation by cars, Airplanes, plastic products etc are all much worse.
The problem is AI is absolutely useless for how big its climate impact is. The other industries at least provide value.
AI writes code for me. It makes dumbass mistakes that compilers automatically catch. It takes three or four rounds to correct a lot of random problems that crop up. Above all else, it’s got limited capacity - projects beyond a couple thousand lines of code have to be carefully structured and spoonfed to it - a lot like working with junior developers. However: it’s significantly faster than Googling for the information needed to write the code like I have been doing for the last 20 years, it does produce good sample code (if you give it good prompts), and it’s way less frustrating and slow to work with than a room full of junior developers.
That’s not saying we fire the junior developers, just that their learning specializations will probably be very different from the ones I was learning 20 years ago, just as those were very different than the ones programmers used 40 and 60 years ago.
I agree, cursor and other IDE integration have been a game changer. It made it way easier for a certain range of problems we used to have in software dev. And for every easy code, like prototyping, or inconsequential testing, it’s so so fast. What I found is that, it is particularly efficient at helping you do stuff you would have been able to do alone, and are able to check once it’s done. Need to be careful when asking stuff you aren’t familiar with though, cause it will comfortably lead you toward a mistake that will waste your time.
Though one thing I have to say: I’m very annoyed by it’s constant agreeing with what I say, and enabling me when I’m doing dumb shit. I wish it would challenge me more and tell me when I’m an idiot.
“Yes you are totally right”, “This is a very common issue that everybody has”, “What a great and insightful question”… I’m so tired of this BS.
It’s not worth the environmental impact
Just another trillion, bro.
Just another 1.21 jigawatts of electricity, bro. If we get this new coal plant up and running, it’ll be enough.
Behold the most expensive money burner!
Hey look the markov chain showed its biggest weakness (the markov chain)!
In the training data, it could be assumed by output that Connecticut usually follows Colorado in lists of two or more states containing Colorado. There is no other reason for this to occur as far as I know.
Markov Chain based LLMs (I think thats all of them?) are dice-roll systems constrained to probability maps.
Oh l I was thinking it’s because people pronounce it Connedicut
Awe cute!
I was wondering if you’d get similar results for states with the letter R, since there’s lots of prior art mentioning these states as either “D” or “R” during elections.
Yesterday i asked Claude Sonnet what was on my calendar (since they just annoyed that feature)
It listed my work meetings on Sunday, so I tried to correct it…
You’re absolutely right - I made an error! September 15th is a Sunday, not a weekend day as I implied. Let me correct that: This Week’s Remaining Schedule: Sunday, September 15
Just today when I asked what’s on my calendar it gave me today and my meetings on the next two thursdays. Not the meetings in between, just thursdays.
Something is off in AI land.
We’ve used the Google AI speakers in the house for years, they make all kinds of hilarious mistakes. They also are pretty convenient and reliable for setting and executing alarms like “7AM weekdays”, and home automation commands like “all lights off”. But otherwise, it’s hit and miss and very frustrating when they push an update that breaks things that used to work.
A few weeks ago my Pixel wished me a Happy Birthday when I woke up, and it definitely was not my birthday. Google is definitely letting a shitty LLM write code for it now, but the important thing is they’re bypassing human validation.
Stupid. Just stupid.
pixel? have you heard ~about grapheneOS tho…~
Also, Sunday September 15th is a Monday… I’ve seen so many meeting invites with dates and days that don’t match lately…
Yeah, it said Sunday, I asked if it was sure, then it said I’m right and went back to Sunday.
I assume the training data has the model think it’s a different year or something, but this feature is straight up not working at all for me. I don’t know if they actually tested this at all.
Sonnet seems to have gotten stupider somehow.
Opus isn’t following instructions lately either.
it’s actually getting dumber.
Blows my mind people pay money for wrong answers.
i rather manually search for info
No, this is Google throwing the cheapest possible shit at you that is barely capable of stringing together 5 coherent sentences but has the reasoning capability of a tapeworm.
Here is the output of the output of the minimalist open Chinese model Qwen3, that runs locally on my 6 year old mid-end PC:
The US states that contain the letter "d" (case-insensitive, as state names are typically capitalized) are as follows. I've verified each state name for the presence of the letter "d" in its standard spelling: Colorado (contains "d" in "Colorado") Delaware (starts with "D") Florida (contains "d" in "Florida") Idaho (contains "d" in "Idaho") Indiana (contains "d" in "Indiana") Maryland (ends with "d" in "Maryland") Nevada (contains "d" in "Nevada") North Dakota (contains "d" in "Dakota") Rhode Island (contains "d" in "Rhode") South Dakota (contains "d" in "Dakota") Total: 10 states.
Illinois contains a hidden D which is in your mom.
I didn’t understand your comment, so I asked the same LLM as before.
It explained it and I think that I get it now. Low-grade middle-school-“Your Mom”-joke, is it? Ha-ha… 🙄
This also means that AI did better than myself at both tasks I’ve given it today (I found only 9 states with “d” when going over the state-list myself…).
Whatever. I’m gonna have second lunch now.
Exactly.
The model that responds to your search query is designed to be cheap, not accurate. It has to generate an answer to every single search issued to Google. They’re not using high parameter models with reasoning because those would be ruinously expensive.
“This is the technology worth trillions of dollars”
You can make anything fly high in the sky with enough helium, just not for long. (Welcome to the present day Tech Stock Market)
Bubbles and crashes aren’t a bug in the financial markets, they’re a feature. There are whole legions of investors and analysts who depend on them.
Listen, we just have to boil the ocean five more times.
Then it will hallucinate slightly less.
Or more. There’s no way to be sure since it’s probabilistic.
If you want to get irate about energy usage, shut off your HVAC and open the windows.
We’re turfing out students by the tens on academic misconduct. They are handing in papers with references that clearly state “generated by Chat GPT”. Lazy idiots.
Gemini is trained on reddit data, what do you expect?
Gemini is just a depressed and suicidal AI, be nice to it.
I had it completely melt down one day while messing around with its coding shit, I had to console it and tell it it’s doing good, we will solve this, was fucking weird as fuck.
“AI” hallucinations are not a problem that can be fixed in LLMs. They are an inherent aspect of the process and an inevitable result of the fact that LLMs are mostly probabilistic engines, with no supervisory or introspective capability, which actual sentient beings possess and use to fact-check their output. So there. :p
Connedicut.
One of these days AI skeptics will grasp that spelling-based mistakes are an artifact of text tokenization, not some wild stupidity in the model. But today is not that day.
Connecticut do have a D in it: mine.
hark@lemmy.world 9 minutes ago
With enough duct tape and chewed up bubble gum, surely this will lead to artificial general intelligence and the singularity! Any day now.