Rob,

Should we be:

1.  hiring otherwise-homeless people to drive cars, or
2.  have computers drive our cars and tax the computers to support the
homeless,  or
3.  ignore what technology is doing to our society and just let Darwin do
his ugly thing to the homeless?

I get your point about using driving as a benchmark. Winning at checkers
was an early benchmark. Then came winning at chess. Then came Eliza. Then
came winning at go. Now comes driving in traffic.  Sure, this will push
Computer Science forward, but I don't see that any true intelligence is
necessary.

My point is that once perfected, manufacturing self-driving cars sounds
rather socially questionable - at least until we get poverty well under
control.

Steve

On 11:40AM, Thu, Aug 2, 2018 Nanograte Knowledge Technologies via AGI <
agi@agi.topicbox.com> wrote:

> Quite happy to discuss AGI. I've been thinking, if we could truly
> mainstream self-driving cars by resolving the remaining issues hampering
> its maturity, it would be a significant step forward towards achieving AGI
> feasibility. Should AGI researchers be pooling their talent to that
> purpose, and/or similar industry problems?
>
> Rob
>
> ------------------------------
> *From:* Matt Mahoney via AGI <agi@agi.topicbox.com>
> *Sent:* Thursday, 02 August 2018 7:34 PM
> *To:* AGI
> *Subject:* Re: [agi] Reality
>
> I disagree with most of this.
>
> On Wed, Aug 1, 2018 at 7:31 PM Steve Richfield via AGI
> <agi@agi.topicbox.com> wrote:
> > My AGI-related interest here springs from my observation that nearly
> everything people expect from an AGI:
> > 1.  Is well within human problem solving ability.
>
> No. Machines already do many things that humans cannot. They have for
> centuries.
>
> > 2.  Is absolutely impossible.
>
> No. The set of things where people still outperform machines is
> steadily shrinking. Everything the brain does is computable in
> principle.
>
> > 3.  Is SO costly that it isn't worth doing.
>
> No, we are already doing it. The ROI on automating human labor is
> world GDP divided by market interest rates, or about $1 quadrillion.
>
> > 4.  Would attract others to destroy the AGI.
>
> People write malware. Future technology will allow people to create
> self replicating nanotechnology and engineer lethal and highly
> contagious pathogens at low cost. That doesn't mean all technology is
> bad.
>
> > 5.  Would be overcome by other differently-motivated AGIs.
>
> The internet really has no competition.
>
> > 6.  Requires information not available to a non-human.
>
> Automating human labor requires collecting human knowledge. The cost
> is in the tens or hundreds of trillions of dollars, but not
> impossible.
>
> > 7.  Something that an AGI can accomplish that humans cannot accomplish.
> So far, I have seen NOTHING that falls into this category.
>
> Sure they can. A computer can easily remember a 20 digit number and
> repeat it back. And other mental feats.
>
> > Basic System Analysis Step #1: Detetmine what is expected of the system.
> Perhaps you can help here?
>
> I outlined the requirements for AGI in http://mattmahoney.net/costofai.pdf
>
> > I was serious when I made my reverse Turing test proposal to start a
> competition for people to try emulating an AGI, as I expected the falacy or
> lack thereof to fall out of such a competition. Until that happens, I just
> can't take AGIs serioudly.
> 
> You mean like a CAPTCHA? Yeah, these will eventually stop working.
> 
> --
> -- Matt Mahoney, mattmahone...@gmail.com
> *Artificial General Intelligence List <https://agi.topicbox.com/latest>*
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