Earlier quoted context omitted.
We still have no clue about the architecture of the human brain. Even if we did, it's not clear we need to replicate it. My point is - even if we had, say, a million times more flops, and a million times more memory than the largest supercomputer today, we would still have no clue what to do with it. The problem is lack of algorithms, lack of theory, not lack of hardware.
We still have no clue about the architecture of the human brain. Even if we did, it's not clear we need to replicate it. We do have a clue about the architecture of the human brain. Billions and billions of neurons with orders of magnitude more connections between them. even if we had, say, a million times more flops, and a million times more memory The point is that we could have those things but we don't have a mil…
You call this a "clue"? It's like saying that computer architecture is "Billions and billions of transistors with orders of magnitude more connections between them". Not gonna get very far with this knowledge.
...we don't have a million times lower memory latency and...
Ok, let's pretend we have an infinitely fast computer in every way, with infinite memory. No bottleneck of any kind. What are you going to do with it, if your goal is to build AGI? What algorithms are you going to run? What are you going to simulate, if we don't know how a brain works? Not only we don't have "the algorithm for general intelligence", we don't even know if such an algorithm exists. It's far more likely that a brain is a collection of various specialized algorithms, or maybe something even more exotic/complex. Again, we have no clue. Ask any neuroscientist if you don't believe me.