I recently put together a human brain equivalent model that takes into consideration several aspects of system performance to figure out what kind of system configuration we would need to generate a human equivalent structure (which I expect would actually be much smarter than a human in practice). For the purposes of real-world projections, taking MIPS and GB in the abstract is nigh useless because there are a slew of caveats as to how all these components actually perform in real systems.
First, we balanced and normalized system memory requirements in terms of size with instructions per second and memory bandwidth/latency. For our architecture/code, we got the following "normal" core: 1 BIPS 32-bit integer core attached to 10^9 bytes RAM assuming common memory architectures. This is an optimum balance of transistor allocation for us. This normal core turns out to be 10^-6 human equivalent in our model. If you compare our normal core to real systems, you find that CPU performance is substantially outstripping the memory performance we require. That said, such a system could be built in a few years simply by tweaking existing generic cores commonly used for custom systems (like ARM or MIPS) and connecting scads of them with a low-latency multi-dimensional interconnect. Since you could put a dozen of these cores on a real chip, the trick would be the memory system and interconnects for each of these cores. In short, the CPU is almost where we need it to be now, but the memory is still way behind the curve. By the time memory catches up so that we can have human equivalent intelligence, we'll have enough extra CPU that we'll have human level intelligence that runs much faster than a normal human. Which is to say the curve will be more on the "fast and stupid" side of the curve than the "slow but smart" side of the curve if balanced for existing architectures. Cheers, -James Rogers [EMAIL PROTECTED] ------- To unsubscribe, change your address, or temporarily deactivate your subscription, please go to http://v2.listbox.com/member/?[EMAIL PROTECTED]
