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"I think it's now possible with a big rack of multi-core machines in an MPI cluster to approach the capabilities of a fruit fly's brain."

This seems so unlikely. Isn't it more likely that it takes a rack of multi-core machines to simulate a fruit fly's brain using our extremely primitive algorithms for approximating intelligence?

In other words, it's a software problem.

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You're right.

It's a software problem and a hardware problem. Our hardware is not up to the task, and even if it was we wouldn't know how to program it.

Evolutionary computation and non-von-Neumann architectures such as stochastic data flow architectures might be where to start. We would not write the code. We would build the right kind of architecture and then evolve the code within that architecture.

> We would not write the code. We would build the right kind of architecture and then evolve the code within that architecture.

That sounds more like an approach that I think would produce results.

The key here is 'right' though, what is right?

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