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Yes, obviously to play the Violin you must train for it, and some brains may be optimized to train faster or easier using different methods, because the connect

Yes, obviously to play the Violin you must train for it, and some brains may be optimized to train faster or easier using different methods, because the connections of our brain regions are different from human to human. You don't have to replicate the human brain structures, but you need to replicate at least their functions. And decide how to link these together. Otherwise, you'll just have a different path to get there, and the AGI you find might look alien like to us. Very fun. Either way, we should have as many teams try out each method of design to find AGI. The evidence is anyone can learn Quantum Mechanics, but not everyone will be Einstein. They might be Picasso, Jobs, or someone else. G factor itself I am trying to say is not talking about the learning part, it is talking about the production part. So any part of the AGI process will be finding what will learn (brain regions) and what will produce (the connections between them). Obviously, you can replace the brain regions and connections with other AI methods we invent. That is all part of this scientific process to find what works. And it will be a fun ride to see what does.

psd1 3y ago
I won't contest that certain substructures on brains have effects in the mind. But your comment send to suggest that the required structures for an AGI must replicate the ones on a human brain - is that what you meant? Octopuses are intelligent but very different to humans.
- jessenaser 3y ago
  I am saying as long as two brains have the same structures, the g factor varies in the production part, instead of the learning part. By learning I mean possible learning. The connections between each brain are different and how you store the information and link it to other memories are different between humans, but you can teach any human Calculus if you can find the right method to teach them. The same for teaching any human language. Only if their brain was neurodegenerated, those structures don't exist properly. Where it gets interesting is when the structures are different. You could still teach GPT-6 Calculus, and it could reason it. But how it learned Calculus required massive training data, to be able to understand language and then the Calculus text. With humans, we need little training data because the rest of the brain does the reasoning part and language part. So, AGI does not need to replicate the human brain or the structures within it, but an AGI will need to become more efficient at calculations. So, eventually, GPT-9 could reason language with a much smaller dataset, because it has a similar reasoning portion of its code like how our brain has a specific region to process language. Instead of data, it has been optimized in its code structure itself. So it needs only less data to do the same computation. To put it simply: No. You do not need to replicate the structures that exist in the human brain. But, yes, the AGI will have structures that are segmented to process those same inputs and outputs a brain region also does. An AGI will have an optimized language structure, and optimized optical structure, an optimized reasoning structure, and as much sub structures as it needs. It won't look like our brain, but it won't look like a mess either. Otherwise, we would be using more compute than necessary or possible in the near future to create something that could be done with less compute.

psd1 3y ago

I won't contest that certain substructures on brains have effects in the mind. But your comment send to suggest that the required structures for an AGI must replicate the ones on a human brain - is that what you meant? Octopuses are intelligent but very different to humans.

jessenaser 3y ago
I am saying as long as two brains have the same structures, the g factor varies in the production part, instead of the learning part. By learning I mean possible learning. The connections between each brain are different and how you store the information and link it to other memories are different between humans, but you can teach any human Calculus if you can find the right method to teach them. The same for teaching any human language. Only if their brain was neurodegenerated, those structures don't exist properly. Where it gets interesting is when the structures are different. You could still teach GPT-6 Calculus, and it could reason it. But how it learned Calculus required massive training data, to be able to understand language and then the Calculus text. With humans, we need little training data because the rest of the brain does the reasoning part and language part. So, AGI does not need to replicate the human brain or the structures within it, but an AGI will need to become more efficient at calculations. So, eventually, GPT-9 could reason language with a much smaller dataset, because it has a similar reasoning portion of its code like how our brain has a specific region to process language. Instead of data, it has been optimized in its code structure itself. So it needs only less data to do the same computation. To put it simply: No. You do not need to replicate the structures that exist in the human brain. But, yes, the AGI will have structures that are segmented to process those same inputs and outputs a brain region also does. An AGI will have an optimized language structure, and optimized optical structure, an optimized reasoning structure, and as much sub structures as it needs. It won't look like our brain, but it won't look like a mess either. Otherwise, we would be using more compute than necessary or possible in the near future to create something that could be done with less compute.