How many tablespoons in a cubic parsec is a quite amusing and
unexpected question to have been solved.  But wait a minute... Isn't
that a calculator question?  If you are trying to awe and scare me
with this Halloween factoid, it is not going to work.
Jim Bromer

On Sun, Oct 27, 2013 at 8:36 PM, Matt Mahoney <[email protected]> wrote:
> On Sat, Oct 26, 2013 at 9:31 PM, Jim Bromer <[email protected]> wrote:
>> Matt Mahoney <[email protected]> wrote:
>>> What do you figure it will take to solve NLP, in terms of computing
>>> power, training data, and coding effort? Or are there some fundamental
>>> research questions you have to answer first?
>>
>> I have no idea.  I believe that using controllable experimental
>> platforms that can demonstrate advances is the best way to continue
>> advancing even if the advances are incremental.  However, there are
>> times when you have to jump to try a different theoretical model.
>>
>> I thought you were going to ask me something about P=NP when I first
>> started reading your comment.
>
> No. I guess you stopped working on the P=NP problem. I think that's a
> good idea because there are more productive approaches.
>
> I would recommend looking at some of the historical approaches to the
> NLP problem. There were hundreds of experimental programs written in
> the 1960's before anyone realized how hard the problem is. This will
> save you from having to repeat their work.
>
> Google is having some success in this field, but it isn't human level
> yet. For example, you can ask questions like "how many tablespoons in
> a cubic parsec?" and get an answer. They are able to do this because
> they have 46,000 employees including some top experts like Kurzweil
> doing AI research, and a market cap of $339 billion. Their software
> runs on a billion computers and phones, giving them indirect access to
> exabytes of personal data and exaflops of computing power. This is in
> addition to the million or so CPUs that they control directly,
> including a quantum computer.
>
> Well, I'm not sure this is helpful. Perhaps there are some fundamental
> questions left to be answered, but it would require some research to
> figure out which ones.
>
> --
> -- Matt Mahoney, [email protected]
>
>
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