The future of information ladies and gentlemen
this post was submitted on 10 Feb 2024
954 points (100.0% liked)
196
18146 readers
852 users here now
Be sure to follow the rule before you head out.
Rule: You must post before you leave.
Other rules
Behavior rules:
- No bigotry (transphobia, racism, etc…)
- No genocide denial
- No support for authoritarian behaviour (incl. Tankies)
- No namecalling
- Accounts from lemmygrad.ml, threads.net, or hexbear.net are held to higher standards
- Other things seen as cleary bad
Posting rules:
- No AI generated content (DALL-E etc…)
- No advertisements
- No gore / violence
- Mutual aid posts are not allowed
NSFW: NSFW content is permitted but it must be tagged and have content warnings. Anything that doesn't adhere to this will be removed. Content warnings should be added like: [penis], [explicit description of sex]. Non-sexualized breasts of any gender are not considered inappropriate and therefore do not need to be blurred/tagged.
If you have any questions, feel free to contact us on our matrix channel or email.
Other 196's:
founded 2 years ago
MODERATORS
Wow it’s so realistic and smart and easy to use I can feel my knowledge being revolutionised
Tbf I'm sure this is an unpaid version of some online LLM, you can only expect so much lol.
When I use GPT3.5 for things like finding specific quotes from famous books, it's excellent... but asking it to play chess gives you blatantly illegal moves. Then GPT4 kicks my ass in chess.
It's so human how - instead of admitting its error - it's pulling this bs right out of its ass 🤣
🤔 I wonder what the hell it is that's so scary about admitting they're wrong to other people.
Growing up in an environment where mistakes were unacceptable sets the stage. Our willingness and ability to understand that that's fucked up and change our attitudes about mistakes takes more growth.
For some people it's easier to dig in their heels and double down.
🤔🤔🤔 I guess I can empathize. People are always traumatized by whatever their parents tell them. What a shame.
"where?" comes across as confrontational, you made it scared :(
Large Lying Model. This could make politicians and executives obsolete!
More like large guessing models. They have no thought process, they just produce words.
They don't even guess. Guessing would imply them understanding what you're talking about. They only think about the language, not the concepts. It's the practical embodiment of the Chinese room thought experiment. They generate a response based on the symbols, but not the ideas the symbols represent.
I'm equating probability with guessing here, but yes there is a nuanced difference.
Mayonnaine: mayo with cocaine. The favorite condiment of Wall Street.
pregante moment
HOW BABBY IS FORMED
PRAGERT SEX. Hurt baby top of head?
Yah, people don’t seem to get that LLM can not consider the meaning or logic of the answers they give. They’re just assembling bits of language in patterns that are likely to come next based on their training data.
The technology of LLMs is fundamentally incapable of considering choices or doing critical thinking. Maybe new types of models will be able to do that but those models don’t exist yet.
A grown man I work with, he's in his 50s, tells me he asks ChatGPT stuff all the time, and I can't for the life of me figure out why. It is a copycat designed to beat the Turing test. It is not a search engine or Wikipedia, it just gambles it can pass the Turing test after every prompt you give it.
People want functioning web searching back, but rather than address issues in the industry breaking an otherwise functional concept, they want a new fancy technology to make the problem go away.
load more comments
(1 replies)
load more comments
(1 replies)
You forgot the rest of the posts where the llm gaslights her after.
There are too many images to put here, so I'll link a post to them.
I'm not sure if this is the original post, but it's where I found it. initially
AI coming for those management jobs.
Or they are so agreeable that they'll agree with you even when you're wrong and completely drop what they were claiming.
The funniest thing is that even when the answer is correct, asking an LLM to explain its reasoning step by step can produce the dumbest results
Artificial Intelligencensence.
nnayonnaise
Kerning!
Another victory for humanity.
I just tried in google gemini
So close
Yet so far
The letter n appears twice in the letter m. The count is correct, the reasoning is not
That's not what it was doing behind the scenes
Bless it's heart it's doing its best.
That escalated quickly
Wow another repost of incorrectly prompting an LLM to produce garbage output. What great content!
This is genuinely great content for demonstrating that ai search engines and chat bots are not in a place where you can trust them implicitly, though many do
load more comments
(8 replies)
They didn't ask it to produce incorrect output, the prompts are not leading it to an incorrect answer. It does highlight an important limitation of LLMs which is that it doesn't think, it just produces words off of probability.
However it's wrong to think that just because it's limited that it's useless. It's important to understand the flaws so we can make them less common through how we use the tool.
For example, you can ask it to think everything through step by step. By producing a more detailed context window for itself it can reduce mistakes. In this case it could write out the letters with the count numbered and that would give it enough context to properly answer the question since it would have the numbers and letters together giving it more context. You could even tell it to write programs to assist itself and have it generate a letter counting program to count it accurately and produce the correct answer.
People can point out flaws in the technology all they want but smarter people are going to see the potential and figure out how to work around the flaws.
load more comments
(3 replies)
can't spell mayonnaise without no
Now ask if it is an instrument.
"How many fingers am I holding up?"
Mhhh... Mayonnaise...
view more: next ›