On Tuesday, April 23, 2013 3:58:33 PM UTC-4, Jason wrote:
> On Tue, Apr 23, 2013 at 6:53 AM, Craig Weinberg 
> <whats...@gmail.com<javascript:>
> > wrote:
>> "If you think about your own vision, you can see millions of pixels 
>>> constantly, you are aware of the full picture, but a computer can't do 
>>> that, the cpu can only know about 32 or 64 pixels, eventually multiplied by 
>>> number of kernels, but it see them as single bit's so in reality the can't 
>>> be conscious of a full picture, not even of the full color at a single 
>>> pixel.
> He is making the same mistake Searle did regarding the Chinese room.  He 
> is conflating what the CPU can see at one time (analogous to rule follower 
> in Chinese room) with what the program can know.  Consider the program of a 
> neural network: it can be processed by a sequentially operating CPU 
> processing one connection at a time, but the simulated network itself can 
> see any arbitrary number of inputs at once.
> How do he propose OCR software can recognize letters if it can only see a 
> single pixel at a time?

Who says OCR software can recognize letters? All that it needs to do is 
execute some algorithm sequentially and blindly against a table of expected 
values. There need not be any recognition of the character as a character 
at at all, let alone any "seeing". A program could convert a Word document 
into an input file for an OCR program without there ever being any optical 
activity - no camera, no screen caps, no monitor or printer at all. 
Completely in the dark, the bits of the Word file could be converted into 
the bits of an emulated optical scan, and presto, invisible optics.

Searle wasn't wrong. The whole point of the Chinese Room is to point out 
that computation is a disconnected, anesthetic function which is 
accomplished with no need for understanding of larger contexts. 



> Jason

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