The obvious application of AGI is automating human labor. The ROI would be
USD $1 quadrillion. Google, Facebook, Amazon, and Apple are making real
progress, but that's because they collectively have $3 trillion to spend on
it.

Neural networks have made most of the progress in vision, language, and
robotics. A human brain sized neural network requires 10 petaflops and one
petabyte. The cost of electricity alone makes this non competitive with
human labor. You need 4 billion of these to replace all working humans. The
waste heat alone would make Earth uninhabitable. You need to compute by
moving atoms instead of electrons. I doubt you have the resources to
implement non transistor computers on a massive scale as evolution did.

Human knowledge is half learned and half evolved, at 10^9 bits each, or 100
million lines of code. That's doable by companies with trillion dollar
market caps but not by you. You can't start with a blank slate because
there is no such thing as a simple, universal learner. Evolution is close,
but that required 10^48 DNA base copy operations, each using only a
billionth as much energy as a transistor operation, for 3 billion years on
a planet sized molecular computer.

But anyway, good luck with building a prototype to test your ideas so you
can attract funding. You have to do that because all investors know that
ideas are cheap and most don't work.



On Wed, Jun 5, 2019, 3:00 AM Mark Nuzz <[email protected]> wrote:

>
>
> On Tue, Jun 4, 2019 at 2:47 PM <[email protected]> wrote:
>
>> AGI has a 0 digit price tag I think,  you just have to know how it works.
>>
>
>
> I don't think the bottleneck is necessarily a shortage of people with
> potentially viable ideas that would lead to AGI. Rather, it requires a lot
> of direction and luck to have the resources and motivation needed to apply
> those ideas in meaningful ways which would lead to outcomes directly
> beneficial to the AGI effort. I've considered Ben Goertzel as a leader in
> the field not because of his AGI expertise (which I don't have the
> expertise to assess myself), but rather because of his worldwide advocacy
> and evangelism which has helped AGI gain a much wider audience of interest.
> There's a lot to be said for that, and that's what I think will ultimately
> solve the above bottleneck, even more so than that mythical eureka moment
> in the lab that people like to talk about.
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