My comments are intended to show that an LLM had enormous complexity to represent data but no understanding of data.
My opinion here is in line with the top AI research consensus: LLMs do not understand anything, they’re very fancy dictionaries that use natural language as queries.
Your consciousness and intelligence and “thinking” is not as simple as 96 layers of nodes cascading through each other. Your brain has closed loops: complexity hundreds of orders of magnitude more than an LLM.
The fact that something so simple tricks so many people is proof that it isn’t conscious. No brain as simple as an LLM is one we consider self aware. We don’t say lobsters think in Estonian.
But I know I’m not going to convince you of anything here: you’ve made up your mind and it won’t be changed. Probably because nobody can reach in there and manually adjust your weights.
So agree to disagree. I know you’re wrong, you know you’re right.
There is no consensus on this, some say they do, some say they don’t, i’ve read both sides extensively and have determined that it is obvious they are currently less intelligent than dogs, duh, what a shifted goalpost, dogs are highly intelligent, that is obvious, because their scale is nowhere near a dog brain. It is an open question if scaling solves this, but I think the potential with scaling is obvious due to two simple facts:
Human brains work using the same unit parts, the structure is more complex, and number of connections is much higher, but none the less we are neural networks.
Scaling has already been demonstrated to improve things.
You shouldn’t pretend a consensus has been reached based on those few articles, that is simply not the case. They also all pretend intelligence is magic and that we’ve reached a dead end, neither is true, one could say you don’t think, you predict muscle movements… You seem to not realize in order to predict text accurately you must reason. I’m fully aware they are advanced text predictors, but you are the same.
You should study neuroscience, you’ll find the purpose of a brain is to predict. “True AI” is just an endlessly shifting goalpost. It won’t be one until it is the size of a human brain, expecting a much smaller brain to outperform ours is silly.
My comments are intended to show that an LLM had enormous complexity to represent data but no understanding of data.
My opinion here is in line with the top AI research consensus: LLMs do not understand anything, they’re very fancy dictionaries that use natural language as queries.
Your consciousness and intelligence and “thinking” is not as simple as 96 layers of nodes cascading through each other. Your brain has closed loops: complexity hundreds of orders of magnitude more than an LLM.
The fact that something so simple tricks so many people is proof that it isn’t conscious. No brain as simple as an LLM is one we consider self aware. We don’t say lobsters think in Estonian.
LLMs aren’t as smart as even dogs, they aren’t “true ai” and we don’t even know what that entails and more likely than not: they’re just a waste of time in our search for true AI. They don’t think: they’re predicting text based on lossy encoding and training.
But I know I’m not going to convince you of anything here: you’ve made up your mind and it won’t be changed. Probably because nobody can reach in there and manually adjust your weights.
So agree to disagree. I know you’re wrong, you know you’re right.
There is no consensus on this, some say they do, some say they don’t, i’ve read both sides extensively and have determined that it is obvious they are currently less intelligent than dogs, duh, what a shifted goalpost, dogs are highly intelligent, that is obvious, because their scale is nowhere near a dog brain. It is an open question if scaling solves this, but I think the potential with scaling is obvious due to two simple facts:
You shouldn’t pretend a consensus has been reached based on those few articles, that is simply not the case. They also all pretend intelligence is magic and that we’ve reached a dead end, neither is true, one could say you don’t think, you predict muscle movements… You seem to not realize in order to predict text accurately you must reason. I’m fully aware they are advanced text predictors, but you are the same.
You should study neuroscience, you’ll find the purpose of a brain is to predict. “True AI” is just an endlessly shifting goalpost. It won’t be one until it is the size of a human brain, expecting a much smaller brain to outperform ours is silly.