On Mon, Nov 24, 2014 at 7:45 AM, John Clark <[email protected]> wrote:

>
> > A.I. is no closer than  it was 20 or 30 or 40 years ago.
>>
>
> Of one thing I am certain, someday computers will become more intelligent
> than any human who ever lived using any measure of intelligence you care to
> name. And I am even more certain that we are 20 years closer to that day
> than we were 20 years ago.
>

I am not opposed to this idea, but as usual the very hard problem of
defining intelligence is hand-waved. I don't even ask for "any measure of
intelligence", I would just ask you to name one.


>
> > But what is new and big is Big Data. But Big Data does not involve
>> theories of A.I. nor efforts. it's about taking very large sets of paired
>> data and converging by some basic rule to a single thing. This is how
>> translation services work.
>>
>
> Well... Big Data computers are artificial and good translation requires
> intelligence,  so why in the world isn't that AI.
>

My PhD advisor used to say something along these lines:
All the AI we have so far gives as a little from a lot. The real goal of AI
is to get a lot from a little.

I think he also stole this from someone, not sure who though.

With what I consider real AI, an artificial translator could also be taught
how to drive a car. The extreme compartmentalisation of capabilities is the
smoking gun that the "intelligence" part of AI is not increasing. I am
aware that I am being hypocritical in that I am appealing to something that
I just said I don't know how to define.


>
> > Big Data does not involve theories of A.I
>>
>
> I think it very unlikely that the secret to intelligence is some grand
> equation you could put on a teashirt, it's probably 1001 little hacks and
> kludges that all add up to something big.
>

I agree.


>
> >  It's very large sets of translations of sentences, and sentence
>> components, simply rehashed for  best fit
>>
>
> Simply? Is convoluted better than simple?  Are you saying that if we can
> explain how it works then it can't be intelligent?
>
> > It actually works fairly adequately for most translation needs. Which
>> would be great, except this: The Big Data system is not independent at any
>> point. Every day there needs to be a huge scrape of the translations
>> performed by human translators.
>>
>
> And human beings move from being mediocre translators to being very good
> translators by observing how great translators do it.
>

And they can also do this for a number of different skills with the same
software.


>
>
> > Human translation professions are in a state of freefall. There used to
>> be a career structure with rising income and security and status. Now there
>> isn't.
>>
>
> Translation certainly won't be the last profession where machines become
> better at there job than any human; and I predict  that the next time it
> happens somebody will try to find a excuse for it just like you did and say
> "Yes a machine is a better poet or surgeon or joke writer or physicists
> than I am but it doesn't really count because (insert lame excuse here)".
>

I am sure of that too, but I reserve my decision on which side of the
argument I'm in until I see these "surgeons", "joke writers" or
"physicists" that you talk about.

Telmo.


>
>   John K Clark
>
>
>
>
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