ninjadude93

ninjadude93 t1_jeb7jjw wrote

I see everyone saying something along the lines of humans communicate/think in the same way chatgpt/NNs comes up with blocks of text but thats just not true. Chatgpt is stochastic, you can get two different outputs from the same simple input. When I'm writing this reply to you I'm not just picking the most likely string of words I'm sitting here considering each word I want to say. As far as I know LLMs by design are incapable of this kind of reasoning

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ninjadude93 t1_jdocwnn wrote

Theres probably some level of scale necessary to start to see emergent properties but the point I tend to disagree on is people saying just throwing a NN at more and more data will suddenly give us AGI past a certain threshold. The human brain isn't just a bunch of neurons theres specialized regions all working together and I think this orchestration plus scale is what will take us to AGI

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ninjadude93 t1_jc2a8j9 wrote

Interesting paper but you still miss the point. The LLM needed to be prompted pretty specifically in the correct direction. It's not reasoning on its own merits and its still generating text based on a statistical distribution of next likely characters rather than examining the problem and formulating an answer then producing the response. A slight difference above your ability to comprehend, but one day you'll get there champ.

Hate to break it to you lil guy but just reposting articles on futurology doesn't make you intelligent

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ninjadude93 t1_jc26dum wrote

Says the moron who thinks humans lack the ability to reason deductively lol

Maybe if I explain it more simply for you. A NN will never be able to logically reason by way of deduction. This is due to the very nature of its design which is simply a device that takes input data and generates an output mathematical equation. The only way to get a good model is by viewing lots and lots of data. This is statistical inference since you don't seem to know what that is. There's no inner monologue happening within the computer. No intelligence is required at all to simply take data input and run it through a model. NNs take a small important slice of what the human brain is doing but clearly don't capture the whole picture otherwise we'd already have AGI based on NNs and we dont.

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ninjadude93 t1_jc23myl wrote

No you absolute idiot how are you this bad at parsing the point lol. Humans do things other than just statistical inference which is the only mode of operation of NNs. Humans are able to logically reason by deduction rather than inference. Your entire first paragraph has nothing to do with what I said try to stay on topic man.

NNs utility comes from the ability to generate a model in an automated fashion. Again, there's no magic here just math and computational power. If you were able to plot all the input data in a high dimensional space and draw a hyperplane through it would get the exact same model output you get through regular training, people just cant visualize more than 3 dimensions so we use NNs to do this instead.

You clearly lack the basic mathematical background to understand how ML works. I suggest starting with some statistics and calculus and going from there so you can intelligently contribute in the future

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ninjadude93 t1_jc1zkcj wrote

Sure, thats why its called a neural net because its modeled after human neurons dummy lol but humans don't rely solely on statistical data processing. We have specialized portions of the brain that do things other than simple statistical inference. Maybe pick up some books on the subject?

Ok and? Just because something is complex doesn't automatically imbue it with self awareness or intelligence. Also its not all that complex, the output from training a NN is just a mathematical model. Chatgpt happens to be a model with billions of parameters but its just a bunch of terms combined together. Humans didnt even need to intervene in the creation of the model in this case. Maybe thats a bit too much for you to wrap your brain around though

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ninjadude93 t1_jc1w26o wrote

Congrats you've regurgitated a slightly more technical description of what I said, statistics based word generation. An important piece you missed is the temperature parameter which injects a bit of randomness into the selection of each word from the distribution.

As to your second text block of course we know what happens you just explained it in your first text block. Input is transformed by node weights and passed along between layers getting sequentially transformed by the next weights. It's not magic guy its just mathematics. But according to you this means its fully aware AGI right? Lol jesus you are so far up your own ass

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ninjadude93 t1_jc1jucv wrote

So you dont understand what it is. Thanks for clearing that up. Chatgpt works by selecting the most likely sequence of words given the preceeding word. In case you're not sure what that means, it's using statistics not traditional symbolic logical reasoning.

At no point did I imply it would be easy or feasible to replicate without a NN and that has no relevance to my previous comment lol but you seem to lack a fundamental understanding of how NNs actually work so I can't blame you for getting confused.

Maybe you need to do a little self reflection on your ignorance lol

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ninjadude93 t1_jc022e8 wrote

Neural nets at their core are just best fit machines in multidimensional data space.

Everything called AI in the news including chatgpt is being conflated with AGI when they really mean machine learning. AGI is something likely not achieved within our lifetimes but really good ML systems seem intelligent and aware but at their core there is no "understanding" in the way you would expect AGI to have

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