Comment on AI trained on AI garbage spits out AI garbage.
CeeBee_Eh@lemmy.world 2 months agoCitation needed.
Certainly!
In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function of biological neural networks in animal brains
A neural network is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain.
A neural network is a machine learning program, or model, that makes decisions in a manner similar to the human brain
*A neural network, or artificial neural network, is a type of computing architecture that is based on a model of how a human brain functions *
Would you like some more citations?
Thinking LLMs are capable of reasoning is the digital equivalent of putting eyes on a pencil then feeling bad when it gets broken in half.
In this paper, we present Reasoning via Planning (RAP), a novel LLM reasoning framework that equips LLMs with an ability to reason akin to human-like strategic planning
Source - Reasoning with Language Model is Planning with World Model
Motivated by the observation that adding more concise CoT examples in the prompt can improve LLM reasoning performance
LegalBench - a tool to evaluate the reasoning performance of an LLM in the legal domain.
A paper on benchmarking an LLMs temporal reasoning.
Shall I provide some more?
CileTheSane@lemmy.ca 2 months ago
Wikipedia is not a source.
Amazon is not a source.
Someone trying to sell their LLM to the general public, and therefore simplifying the language to convey a concept is not a source.
By that definition my dimmer switch functions like a biological brain because it passes electrical impulses.
So does not function like a brain does.
So it’s a proposal for a new framework to mimic it, not how LLMs currently function
Aaand I’m going to stop checking your sources now. If you’re just going to gish gallop every link from a search page you think agrees with you I’m not going to waste my time reading things you clearly didn’t bother to. It took 5 links to get to something that even looks like a source, and it doesn’t say what you think it does.
Read your sources and make sure they say what you think they do. If you present me with another pile of links and the first one is invalid I won’t bother looking at the 2nd.
CeeBee_Eh@lemmy.world 2 months ago
My god you’re thick.
What you just did is called “digging a deeper hole”.
Like I said, I’ve worked in the industry for over a decade. What I said isn’t even up for debate. If you had a shred of understanding you know how astoundingly wrong what you said is. In fact, if you had a shred of understanding you just flat out wouldn’t have said it.
Straight up genetic fallacy.
You’re right. It’s not a “source”. It’s a source aggregator. You know that list of little tiny text at the bottom of each page? Those are “references” from credible sources that are cited.
I’ll give you an example. The quote from Wikipedia I provided has a little “1” and a little “2” right at the end of the sentence. If you click on them it’ll take you to the cited source.
The little “1” will bring you to the following page:
news.mit.edu/…/explained-neural-networks-deep-lea…
Here are some excerpts:
Modeled loosely on the human brain, a neural net consists of thousands or even millions of simple processing nodes that are densely interconnected.
particular network layouts or rules for adjusting weights and thresholds have reproduced observed features of human neuroanatomy and cognition, an indication that they capture something about how the brain processes information.
sciencedirect.com/…/artificial-neural-network
It resembles the human brain in two respects: The knowledge is acquired by the network through a learning process, and interneuron connection strengths known as synaptic weights are used to store the knowledge.
They imitate somewhat the learning process of a human brain because they learn the relationship between the input parameters and the controlled and uncontrolled variables by studying previously recorded data.
ANN is a computational model that is based on a machine learning technique. It works like a human brain neuron system.
Directly linked to in the Science Direct page from Wikipedia:
www.sciencedirect.com/…/B9780444528551500118
Artificial neural networks (ANNs) are computational models that attempt to emulate the architecture and function of the human brain (Russell and Norvig, 1995).
Now I know you’re either 14 or just not very smart. You directly quoted the source with This prevents LLMs from performing deliber- ate planning akin to human brains,
It’s literally in the sentence, it said “deliberate planning akin to human brains”. It doesn’t say anywhere in that sentence that neural networks aren’t modelled after brains and it doesn’t say anything about reasoning (the two things you keep refuting).
Convenient for your “argument”.
I have. You just can’t read, have reading comprehension issues, or simply can’t understand them.
I don’t care if you do. Anyone else who reads these comments will see you’re out of your depth.
CileTheSane@lemmy.ca 2 months ago
Since we’re naming fallacies: appeal to authority. I’m a Astronaut Scientist Millionaire Cowboy and I say you’re wrong
Begging the question
Ad Hominem
Then you should have linked those, not Wikipedia. I’m not going to put more work into this than you are. If you can’t be bothered to find the actual source I’m not going to do it for you.
Let me stop you right there.
“Modeled loosely on the human brain.” So again your source straight up says it does not function like a human brain.
None of that indicates a capacity to reason.
I thought we were talking about LLMs, not ANNs, and an attempt to emulate does not imply success.
Ad Hominem
Interesting how you cut out the words “prevents the LLM from” that immediately preceded that.
Convenient for dealing with a gish gallop. Not going to waste my time analyzing sources you haven’t even read.
More Ad Hominem.
Someone with an actual argument doesn’t need to resort to personal attacks every other paragraph. They can simply present their argument. Someone without an actual argument is likely to resort to personal attacks to make the other person go away and stop forcing them to defend their (non)argument, then think they’ve “won” just because the other person isn’t bothering to deal with them anymore.
Ah yes, you’ve been getting a lot of “support and agreement” from the other people reading your comments.
CeeBee_Eh@lemmy.world 2 months ago
Can you get your fallacy definitions right at least? It’s not appeal to authority if the person being referenced has the qualifications or experience in the subject being discussed. I have worked with the technology for a decade. I’ve trained countless neural network models for various purposes. I understand the technology.
No. You are literally trying to debate established facts.
This would be true if I didn’t address the point multiple times. This was me offering an explanation for why you keep getting it wrong.
I did link to multiple scientific sources. You just gave up before even getting to halfway.
No, it literally says in multiple sections (that I quoted) that neural networks are designed by modelling biological brains. It doesn’t matter if it’s “loosely”, “exactly”, “somewhat”, or “kinda”. It’s modelled “loosely” because the human brain is incredibly complex. Quite possibly the most complex thing known of. The distinction here in the ONE quote you cherry-picked is that it said human brain. The distinction is the word “human”.
I literally didn’t. It’s literally in my quote on italics. I’ll refer to my previous (ad hom) statement about your reading comprehension.
Then go back to the links you conveniently skipped over.
It hurts. You actually hurt my brain. An LLM is literally an artificial neural network. How do trolls like you actually think?
Nothing I said is a personal attack. Remaking that you must not have good reading comprehension is insulting, but not a personal attack.
I have; very simply, in fact. I just genuinely do not think you have the reading comprehension or capacity to understand.
Sure, the 10 people who commented on this post who are not reading our convo is such an indication of support.