Example of a Godel machine: a data compressor that tries random variations
of the algorithm and keeps improvements. The prover tests the code by
compressing, decompressing, and comparing to the original. I am aware of
practical implementations in small parameter spaces, but they are slow.
Other examples are programs that learn Chess or Go by playing itself.

Again, not a practical path to AGI without external input for learning and
a means to acquire physical computing power. Ultimately a Godel machine
boils down to a long search over a subset of AIXI space.

On Tue, May 26, 2020, 12:44 PM Robert Levy <[email protected]> wrote:

> Looks like you get Schmidhubered on this one...
>
> http://people.idsia.ch/~juergen/selfreflection.pdf
>
>
> On Mon, May 25, 2020 at 1:37 PM Alan Grimes via AGI <[email protected]>
> wrote:
>
>> Ok, it seems we have lost a concept here, that of metaprogramming. In
>> classic interpreted languages such as Lisp, etc, it was possible to
>> write programs that write programs.
>> 
>> When you think of AGI that needs to optimize itself for its platform and
>> continually adapt to its environment, it should quickly become apparent
>> that we are not looking for an AGI program per se, but a program that
>> generates and continually tunes and updates the AGI program.
>> 
>> Consider also your habbits, not just your external habbits but you also
>> have hundreds of micro-habbits for dealing with routine social
>> interractions and cognitive tasks. These can all be thought of as
>> generated programs that were generated by the metaprogram that is your
>> underlying intelligence.
>> 
>> Anyway, don't let your mind get trapped in the limitations of commonly
>> used programming techniques.
>> 
>> --
>> The vaccine is a LIE.
>> 
>> Powers are not rights.
>> 
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