> On 2 Apr 2019, at 19:36, Philip Thrift <cloudver...@gmail.com> wrote:
> On Tuesday, April 2, 2019 at 12:03:06 PM UTC-5, Brent wrote:
> On 4/2/2019 2:35 AM, Philip Thrift wrote:
>> "Analogical rendering" is a perfectly good programming paradigm.
>> Engineers Develop Analog Computing Compiler 
>> https://www.engineering.com/DesignerEdge/DesignerEdgeArticles/ArticleID/13340/Engineers-Develop-Analog-Computing-Compiler-for-Biological-Simulations-More.aspx
>> <https://www.engineering.com/DesignerEdge/DesignerEdgeArticles/ArticleID/13340/Engineers-Develop-Analog-Computing-Compiler-for-Biological-Simulations-More.aspx>
>> "The high-level language of the compiler makes use of differential 
>> equations, which are frequently used to describe biological systems."
>> "Researchers from MIT have presented a new compiler designed for analog 
>> computers. The compiler, called Arco, takes sets of differential equations 
>> as its input and translates them into circuits in programmable analog 
>> devices."
> Sounds like old news.  Fifty years ago the Navy built real-time simulations 
> in which air-launched missiles were tested.  They were run on analog 
> computers programed by wiring on big plug boards.  Thirty years ago these 
> were replaced by analog computers which were programmed by digital computers. 

Yes, and that is interesting for practical purpose, but I am not sure this 
would contradict mechanism, nor its immaterialist consequences. It would some 
confusion of level to say so.

If classical mechanics (Newton) was 100% true, then the indexical digital 
Mechanist thesis would already be refuted. But quantum mechanics seems to save 
mechanism from any possible use of non computable element which would be not 
recoverable by the fact that we are run by  “infinitely many” computation.

> Brent
> We are bioanalog computers.

I ahem no problem with this. Unless you meant that those bioanalog computers 
are neither Turing emulable, or recoverable from our distribution in arithmetic.

> Stanford creates biological transistors, the final step towards computers 
> inside living cells
> https://www.extremetech.com/extreme/152074-stanford-creates-biological-transistors-the-final-step-towards-computers-inside-living-cells

That is cool, but a cell, even a prokaryotic cell is already a full complete 
universal machine, in the same sense that the following finite game of life 
pattern is a full complete universal number/machine:


Such a machine does not need an “infinite tape”, but of course, it needs to be 
able to extend its finite memory indefinitely. Humans too, and that is why we 
have evolved more quickly when using the cave of the wall as extended memory, 
up to papers and … transistors.


> DNA Circuits for Analog Computing
> https://users.cs.duke.edu/~reif/courses/molcomplectures/DNAanalog/DNAanalog(Tianqi)/DNAanalog(Tianqi).pdf
> <https://users.cs.duke.edu/~reif/courses/molcomplectures/DNAanalog/DNAanalog(Tianqi)/DNAanalog(Tianqi).pdf>https://users.cs.duke.edu/~reif/courses/molcomplectures/DNAanalog/DNAanalog(Tianqi)/DNAanalog(Tianqi).pdf
> <https://users.cs.duke.edu/~reif/courses/molcomplectures/DNAanalog/DNAanalog(Tianqi)/DNAanalog(Tianqi).pdf>
> One day people will be outputs of compilers.
> - pt
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