[ExI] alpha zero

[William Flynn Wallace]

I suspect that if we were to look at what philosophers say about it, they
would tell us that they really did not know for sure what the word 'know'
means.  Only the toad knows (Alice in Wonderland).

We may never know how the unconscious works.  It is not meant (whatever
that word means) to be conscious.  Duh.

"It's as if they are doing this when they think."  This will be as close as
we can get.  A model.

So it may be that studying people's minds so that we can program computers
to copy the way they work is not the best strategy to advance computer
thinking.

I suspect the Singularity is pretty far off.

bill w

On Thu, Dec 7, 2017 at 6:32 PM, Dave Sill <sparge at gmail.com> wrote:

> On Thu, Dec 7, 2017 at 5:30 PM, John Clark <johnkclark at gmail.com> wrote:
>>
>>
>> ​
>> On Thu, Dec 7, 2017 at 2:02 PM, Dylan Distasio <interzone at gmail.com>
>>  wrote:
>>
> > ​
>>  Deep learning neural nets appear to bear little resemblance to how
>> biological nervous systems actually work.
>>
>> ​As far as Chess​
>>
>> ​Go and Shogi are concerned it works far better than ​
>> biological nervous systems
>> ​.​
>>
>>
>
> Yes, in simple, well-defined domains. Computers are incredibly fast at
> math but that doesn't mean they're math geniuses. I can't do billions of
> floating point operations per second, but I can explain to a child in terms
> it will understand what "addition" means. A CPU has no understanding of
> what it does. Likewise, AlphaGO has no understanding of the games it plays.
> It can't explain its strategy--it has none, it just "knows" what usually
> works--and that's excessively anthropomorphic, it knows nothing: it just
> does what it was programmed to do.
>
> It a clever and useful technique but it's a far cry from a general
> intelligence that can interact directly with the world where the rules
> aren't all known, and communicate with other intelligent entities, evaluate
> novel situations, and solve complex problems.
>
> -Dave
>
>
>
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