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Why do you feel the need to appeal to authority here? Moore's law states that the number of transistors on a chip doubles every two years. Looking at the data[0] confirms, yes, Moore's law is still alive.

[0]: https://upload.wikimedia.org/wikipedia/commons/0/00/Moore%27...



It's true that Moore's original claim was about number of transistors and not about any actual metric of performance.

But "number of transistors" is like "number of lines of code": it's a cost, not a benefit, and if it feels otherwise it's only because that cost is the cost we have to pay for some benefit we care about.

And the claim that's increasingly commonly made these days isn't "transistor density has stopped improving" (though I think that's slowed down somewhat since Moore's time?) but more like "performance has stopped improving".

If we are putting more and more transistors on our chips (hence, larger die area, lower yields, more cost, more heat produced, more expensive cooling required) but not getting corresponding performance improvements in the tasks we actually value, then the thing everyone actually valued about Moore's law is dead, regardless of the status of the literal words of Moore's claim.


You're looking for Koomey's Law, which is a different concept than Moore's law.


Not quite.

Moore's law, strictly, is about the growth of transistor density. Koomey's law, strictly, is about the improvement in computation per unit energy.

Those are both interesting, but frequently people care about something different from either, which is something like "computation per second available in hardware of reasonable size, power consumption and cost". Call this "effective performance".

This can increase even if Moore fails (e.g., we find good ways to exploit parallelism, and build larger devices with more cores). It can fail to increase even if Moore holds (e.g., we can put more cores on a device of the same size, but we aren't good enough at exploiting parallelism so real performance doesn't improve).

It can increase even if Koomey fails (e.g., we find ways to make our hardware faster; there's a corresponding increase in power consumption but we are still able to cool things well enough so we just accept that). It can fail to increase even if Koomey holds (e.g., we can't make anything faster but we find a way to maintain existing speeds at lower power; very nice but no performance improvement unless power consumption is the current bottleneck).

It used to be that effective performance increased exponentially at a fairly consistent rate. This increase has slowed but not stopped; it's not obvious (to me, anyway) what we should expect it to do in the nearish future.

The consistent exponential increase in effective performance had a name, in popular discourse. It was called "Moore's law". It's unfortunate that strictly speaking it isn't what Moore was originally describing, leading to an ambiguity when people refer to "Moore's law" between a law about density and a law about effective performance.

(I unfortunately lack the ability to read minds, so I can't be sure what OP had in mind. But given the statement that "it has big implications for the advancement of AI technology", it looks to me more like effective performance than density.)


That's a nice graphic, thanks. I guess I was talking about the future, more than the right now. During the first Friedman interview, he went into detail about just how small things could go, and why we're a far way away from hitting that limit.




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