By training GPU software I mean improving it in an indirect way, like how you train a neural net.
I think verification is part of training. You feed your intuition data, and use logic to detect when this process is going astray.
The GPU/CPU analogy is just to show that the intuition is a powerful parallel computing process, whereas the logical mind is not parallel and is computationally limited.
By training GPU software I mean improving it in an indirect way, like how you train a neural net.
I think verification is part of training. You feed your intuition data, and use logic to detect when this process is going astray.
The GPU/CPU analogy is just to show that the intuition is a powerful parallel computing process, whereas the logical mind is not parallel and is computationally limited.