This is exactly what I’m talking about when I argue with people who insist that an LLM is super complex and totally is a thinking machine just like us.
It’s nowhere near the complexity of the human brain. We are several orders of magnitude more complex than the largest LLMs, and our complexity changes with each pulse of thought.
LLM’S don’t work like the human brain, you are comparing apples to suspension bridges.
The human brain works by the series of interconnected nodes and complex chemical interactions, LLM’s work on multi-dimensional search spaces, their brains exist in 15 billion spatial dimensions. Yours doesn’t, you can’t compare the two and come up with any kind of meaningful comparison. All you can do is challenge it against human level tasks and see how it stacks up. You can’t estimate it from complexity.
You’re missing half of it. The data cube is just for storing and finding weights. Those weights are then loaded into the nodes of a neural network to do the actual work. The neural network was inspired by actual brains.
I mean you can model a neuronal activation numerically, and in that sense human brains are remarkably similar to hyper dimensional spatial computing devices. They’re arguably higher dimensional since they don’t just integrate over strength of input but physical space and time as well.
Back in the early 2000s CERN was able to simulate the brain of a flat worm. Actually simulate the individual neurons firing. A 100% digital representation of a flatworm brain. And it took up an immense amount of processing capacity for a form of life that basic, far more processor intensive than the most advanced AIs we currently have.
Modern AIs don’t bother to simulate brains, they do something completely different. So you really can’t compare them to anything organic.
2014, not early 2000s (unless you were talking about the century or something).
OpenWorm project, not CERN.
And it was run on Lego Mindstorm. I am no AI expert, but I am fairly certain that it is not “far more processor intensive than the most advanced AIs we currently have”.
Citation needed on that comment of yours. Because I know for a fact that what I said is true. Go look it up.
Maybe you should be a little less sure of your “facts”, and listen to what the world has to teach you. It can be marvelous.
This is exactly what I’m talking about when I argue with people who insist that an LLM is super complex and totally is a thinking machine just like us.
It’s nowhere near the complexity of the human brain. We are several orders of magnitude more complex than the largest LLMs, and our complexity changes with each pulse of thought.
The brain is amazing. This is such a cool image.
LLM’S don’t work like the human brain, you are comparing apples to suspension bridges.
The human brain works by the series of interconnected nodes and complex chemical interactions, LLM’s work on multi-dimensional search spaces, their brains exist in 15 billion spatial dimensions. Yours doesn’t, you can’t compare the two and come up with any kind of meaningful comparison. All you can do is challenge it against human level tasks and see how it stacks up. You can’t estimate it from complexity.
You’re missing half of it. The data cube is just for storing and finding weights. Those weights are then loaded into the nodes of a neural network to do the actual work. The neural network was inspired by actual brains.
I wonder where it got it’s name from?
I have no idea. Maybe someone with a larger neural network than mine can figure it out.
I mean you can model a neuronal activation numerically, and in that sense human brains are remarkably similar to hyper dimensional spatial computing devices. They’re arguably higher dimensional since they don’t just integrate over strength of input but physical space and time as well.
I think of LLMs like digital bugs, doing their thing, basically programmed.
They’re just programmed with virtual life experience instead of a traditional programmer.
Back in the early 2000s CERN was able to simulate the brain of a flat worm. Actually simulate the individual neurons firing. A 100% digital representation of a flatworm brain. And it took up an immense amount of processing capacity for a form of life that basic, far more processor intensive than the most advanced AIs we currently have.
Modern AIs don’t bother to simulate brains, they do something completely different. So you really can’t compare them to anything organic.
https://www.sciencealert.com/scientists-put-worm-brain-in-lego-robot-openworm-connectome
2014, not early 2000s (unless you were talking about the century or something).
OpenWorm project, not CERN.
And it was run on Lego Mindstorm. I am no AI expert, but I am fairly certain that it is not “far more processor intensive than the most advanced AIs we currently have”.
Maybe you should be a little less sure of your “facts”, and listen to what the world has to teach you. It can be marvelous.