I don’t doubt that it’s possible to come up with something that thinks better than the human brain, just as we have come up with something that travels better than the human leg. But to cover long distances efficiently, people didn’t start by replicating a human leg, and then tweaking it. They came up with a radically different design—e.g. the wheel.
I don’t see the evidence that knowing how to build a human brain is the key step in knowing how to build something better. For instance, suppose you could replicate neuron function in software, and then scan a brain map (Robin Hanson’s “em” concept). That wouldn’t allow you to make any of the improvements to memory, maths, etc, that Dolores suggests. Perhaps you could make it run faster—although depending on hardware constraints, it might run slower. If you wanted to build something better, you might need to start from scratch. Or, things could go the other way—we might be able to build “minds” far better than the human brain, yet never be able to replicate a human one.
But it’s not just that evidence is lacking—Dolores is claiming certainty in the lack of evidence. I really do think the Austen quote was appropriate.
To clarify, I did not mean having the data to build a neuron-by-neuron model of the brain. I meant actually understanding the underlying algorithms those slabs of neural tissue are implementing. Think less understanding the exact structure of a bird’s wing, and more understanding the concept of lift.
I think, with that level of understanding, the odds that a smart engineer (even if it’s not me) couldn’t find something to improve seem low.
I agree that I might not need to be able to build a human brain in software to be able to build something better, as with cars and legs.
And I agree that I might be able to build a brain in software without understanding how to do it, e.g., by copying an existing one as with ems.
That said, if I understand the principles underlying a brain well enough to build one in software (rather than just copying it), it still seems reasonable to believe that I can also build something better.
I don’t doubt that it’s possible to come up with something that thinks better than the human brain, just as we have come up with something that travels better than the human leg. But to cover long distances efficiently, people didn’t start by replicating a human leg, and then tweaking it. They came up with a radically different design—e.g. the wheel.
I don’t see the evidence that knowing how to build a human brain is the key step in knowing how to build something better. For instance, suppose you could replicate neuron function in software, and then scan a brain map (Robin Hanson’s “em” concept). That wouldn’t allow you to make any of the improvements to memory, maths, etc, that Dolores suggests. Perhaps you could make it run faster—although depending on hardware constraints, it might run slower. If you wanted to build something better, you might need to start from scratch. Or, things could go the other way—we might be able to build “minds” far better than the human brain, yet never be able to replicate a human one.
But it’s not just that evidence is lacking—Dolores is claiming certainty in the lack of evidence. I really do think the Austen quote was appropriate.
To clarify, I did not mean having the data to build a neuron-by-neuron model of the brain. I meant actually understanding the underlying algorithms those slabs of neural tissue are implementing. Think less understanding the exact structure of a bird’s wing, and more understanding the concept of lift.
I think, with that level of understanding, the odds that a smart engineer (even if it’s not me) couldn’t find something to improve seem low.
I agree that I might not need to be able to build a human brain in software to be able to build something better, as with cars and legs.
And I agree that I might be able to build a brain in software without understanding how to do it, e.g., by copying an existing one as with ems.
That said, if I understand the principles underlying a brain well enough to build one in software (rather than just copying it), it still seems reasonable to believe that I can also build something better.