I think you are fundamentally confused. The only difference between RAM and hard drive is that hard drive is bigger and stores data while the computer is off, and RAM is faster.
AI design process.
1) Come up with a formal mathematical definition of what you want the AI to do.
2) Come up with an algorithm that would approximate it, given vast but finite amounts of compute.
3) Find an algorithm that would work given real world amounts of compute.
4) If your algorithm is a bit slow, tweak it to fit the details of modern computers. (This is the place to worry about cpu vs gpu, RAM vs hard disk ect.)
5) Run the code.
As far as I know, noone has done stage 3 for any kind of AGI.
once we create a huge dataset that doesnt overfit to one domain of knowledge we will be able to create an AGI much easier.
I disagree, it would be easy to make such a dataset, downloading wikipedia would be a good start, but we don’t know how to make an AI that can learn from it well.
I think you are fundamentally confused. The only difference between RAM and hard drive is that hard drive is bigger and stores data while the computer is off, and RAM is faster.
AI design process.
1) Come up with a formal mathematical definition of what you want the AI to do.
2) Come up with an algorithm that would approximate it, given vast but finite amounts of compute.
3) Find an algorithm that would work given real world amounts of compute.
4) If your algorithm is a bit slow, tweak it to fit the details of modern computers. (This is the place to worry about cpu vs gpu, RAM vs hard disk ect.)
5) Run the code.
As far as I know, noone has done stage 3 for any kind of AGI.
I disagree, it would be easy to make such a dataset, downloading wikipedia would be a good start, but we don’t know how to make an AI that can learn from it well.