well these machines do have 500,000 years of evolution to catch up on, the
analogy i recall was these system are like single cell organisms that we
need to force evolve.

Regards
Shaine Ismail


On 25 May 2010 14:30, Casper Bang <[email protected]> wrote:

> I also studied hypermedia and here 10 years after I have yet to be
> convinced that the theory can map to practice (i.e. bidirectional
> links, annotations etc.) If anyone can bring this forward in practice,
> it has got to be Google. And yet, look at how crappy live translation
> of captions works for YouTube. That part will be particular
> interesting to monitor when GoogleTV launches.
>
> On May 25, 3:17 pm, shainnif ismail <[email protected]> wrote:
> > I went to a talk at Edinburgh University many years ago, about
> > Neurolinguistics (http://en.wikipedia.org/wiki/Neurolinguistics)
> >
> > specifically on Semantics, and its use in computer science eg
> > translating human language to code using intelligent programs, mapping
> > concepts rather than words.
> >
> > It remember being very impressed and that was about 1999.
> >
> > shaine
> >
> > On 25 May 2010 13:56, Casper Bang <[email protected]> wrote:
> >
> >
> >
> >
> >
> > > It's an interesting subject for sure, dating back to Plato Vs.
> > > Aristotle. I used to believe futurists like Ray Kurzweil etc. but now
> > > I am not so sure. While we will no doubt continue to simulate larger
> > > and more complex brains, we have yet to properly define intelligence
> > > let alone self-awareness (humans primary driver).
> >
> > > Nature itself does not seem particular intelligent, it relies on crude
> > > trial-n-error (survival-of-the-fittest) and tracer-bullets (mutations)
> > > rather than up-front design. Indeed, modern agile processes looks an
> > > awful lot like a step back to nature.
> >
> > > The fact that you can hire 100 teams to solve a problem* and they will
> > > all get to very different solutions, suggests to me that it makes
> > > little sense to equate computer intelligence and human intelligence.
> > > When all 100 teams start to arrive at the (very near) same solution,
> > > then we may be more ready to define "intelligence".
> >
> > > /Casper
> >
> > > *Not a pure algorithmic problem a la TSP.
> >
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