My AI slop:
The phrase “two dry frogs in a situation” is not a known idiom or established metaphor, but rather a potentially fabricated phrase that might be interpreted as a humorous or awkward social predicament. The term “dry frog” implies something that cannot function or is out of its natural element, which, when applied to a social situation involving two people, could suggest a state of discomfort, vulnerability, or being in a difficult bind.
Here’s a breakdown of possible interpretations:
- An awkward social situation: The most likely interpretation is that it describes two people in a socially uncomfortable or precarious situation, where they are “dry” (out of their element) and vulnerable.
- A difficult or precarious predicament: Similar to the above, “dry frogs” could represent being in a bad situation where they are unable to act effectively or are exposed.
- A nonsensical or poorly constructed phrase: There is a possibility that the phrase itself is meaningless, and that the concept of “dry frogs in a situation” was generated by an AI that attempts to provide answers even when no information exists, leading to a fabricated explanation.
Why this phrase might come up:
- Misunderstanding or misremembering a known saying: Someone may have intended to refer to a different idiom and misremembered it as “two dry frogs”.
- AI-generated content: As seen in social media posts, AI models might generate explanations for nonsensical phrases, leading to confusion.
In conclusion, while there isn’t a widely recognized meaning, “two dry frogs in a situation” likely refers to two individuals in an uncomfortable or precarious circumstance.
This just one of the many of reasons that AI is hot garbage. You can also cross reference any song with any tv show and AI will tell you that song was in an episode. It’ll even name the episode… that clearly doesn’t have the song.
And if at first it doesn’t result in a match, refresh the page. It will. For reference, Woodkid does NOT have any songs in The Blacklist. Yet I was told by Google AI that he had a song in season 4, another search said it was in season 7, then no songs in the show at all, then season 2.
And we’re trusting this shit in airlines and medical procedures.
I hope humanity gets sued into non-existence. We’re too fucking stupid to share this planet with animals.
Maybe not anymore.
Same here with different nonsense. Oh well.
But guys the model was totally frantic!
two dry frogs? sounds like an emergency frog situation!
I tried to replicate this with Brave’s AI, but it basically just told me I was insane so I guess it’s better
Damn now im curious about the content of what it said
I had to make up my own since it recognized the 2 frogs one, since it’s now been floating around for a few months. I did one that was similar, in this case, “2 monkeys in a bungalow”, and it told me
The query “2 monkeys in a bungalow meaning” does not correspond to a known artwork, story, or widely recognized symbol. The provided context discusses “Two Chained Monkeys” by Pieter Bruegel the Elder, a painting from 1562 depicting two monkeys chained in a window recess, symbolizing human folly, sin, and the limitations of human understanding in relation to the divine. This artwork is not associated with a “bungalow” setting.
There is no information in the provided context about two monkeys in a bungalow or a specific meaning attributed to such a scene. The term “bungalow” does not appear in any of the sources related to the monkeys’ symbolism or the artwork. Therefore, based on the available information, the meaning of “2 monkeys in a bungalow” cannot be determined
“hey guys my name is timmy bob i like to have fun and play” a little known proverb, this powerful sequence of words represents finding joy, life fulfillment if you will, enlightenment one could even say, through the simple pleasures in life…
Equal parts absurdist poetry and robotic dystopia. Wonderful.
Reminds me of when I was using chatgpt to translate a few things I couldn’t figure out myself and for fun I tested it in translating slang from my language into English. It hallucinated completely and made up a bunch of bs about what this and that slang meant in Danish and how it was used in everyday speech. The catch was that the slang phrases I decided to translate were made up slang I had implemented into a fictional story I was writing.
You’re saying you’ve never heard the phrase “two dry frogs is a situation”? That’s just a horse cutting it short at the barber!
Lmfao holy shit
dam google is really expanding the width of the snake right now
There was a paper about this not long ago. The problem is, how LLMs get trained: a right answer gets a point, everything else gets no points. This rewards guessing (produces a point sometimes) over answering “I don’t know/I can’t do this” (produces never a point)
It’s like when developers give a wrong answer during technical interviews, rather than say “I’d have to look it up” or “I’d have to check the documentation” etc.
I would code a GUI in visual basic
This is actually a pretty great way to illustrate what LLMs do. It gives you an answer regardless of whether it makes sense to do so.
It’s so fun to waste energy!
AI drives 48% increase in Google emissions
I love those energy hungry assistants! It’s wasting resources even faster than everything before but it’s so fun and useful!
AI drives 48% increase in Google emissions
That’s not even supported by the underlying study.
Google’s emissions went up 48% between 2019 and 2023, but a lot of things changed in 2020 generally, especially in video chat and cloud collaboration, dramatically expanding demand for data centers for storage and processing. Even without AI, we could have expected data center electricity use to go up dramatically between 2019 and 2023.
I think you should be more concerned about the automatic ai responses on every other search, instead of people having a bit of fun with these
I am. That’s why I switched to DDG and deactivated it.
This is my problem with it as well. I wish it was a tolerable option that I could click when I wanted an AI summary, which would be basically never.
At one point I was looking for a pinout diagram for a chip, and the first result I got was the AI summary, I wanted a picture not text, how’s text helpful? All it did is give me a list of the pins, I know what pins it has, but I want to know where they are.
if you use ddg, you can use noai.duckduckgo.com
This is a dumb misconception. High emissions and energy consumption is when training models, not during prompts
and models are being trained all the time. It’s the only way to assimilate new data. So your point is moot.
No what he’s saying is the models are being trained whether you mess around with the AI as a user either way.
It’s like how I didn’t kill the chicken on the store shelves. Myself purchasing it or otherwise doesn’t revive the chicken. The data has/is already being trained.
That’s a really savvy insight! To expand this analogy further, it’s like your phone or computer gives you a free chicken nugget from a small container attached to the side of the device anytime you search for anything at all. It’s room temperature and often spoiled, it’s your choice whether you eat it or not, but you’re going to get it either way. As such you cannot easily choose to avoid chicken in hopes that that will disincentivize further chicken slaughter.
False. It’s been shown that resolving prompts also drives a major energy consumption, albeit maybe not so higher than regular search queries.
A prompt is like 1/1000 of the power used as a microwave for the same amount of time.
So the difference between a normal query and an AI query is negligible.
“Frantically”. Guys, stop adscribing human features to LLMs.
You sound like the people in my chemistry class who say things like “don’t describe subatomic particles as happy when they’re in low-energy states.”
Well given the names of quarks I don’t think it’s unreasonable to suggest that a particle could be happy. After all apparently a particle can be strange, so why not happy.
There’s no financial incentive big subatomic has for pretending its particles are happy, though.
I’m sure OOP works for big AI. /s
Funny. But that’s not how the market works.
big if true
I dunno, anything less would be greenwashing their profligate power consumption.
This again. sight
It would be great to provide a context too, since neither the title of the article is exhaustive about the content.
