Training the AI to write better LiveCode

[Bob Sneidar]

I don't think it needs to store ALL the permutations, only the viable ones, the ones that lead to success. That has to be a much smaller number. But I was using that as an example of the mathematical nature of Chess. I think what we must mean by AI is that through recursion, a computer can retain successful paths to success (success being that which we define as success in the process.) I don't think we will ever see the day where a computer, lacking experience and all the data for a problem, can "reason" it's way to success. 

Bob S


> On Jan 23, 2023, at 23:26 , Geoff Canyon via use-livecode <use-livecode at lists.runrev.com> wrote:
> 
> On Mon, Jan 23, 2023 at 4:09 PM Bob Sneidar via use-livecode <
> use-livecode at lists.runrev.com> wrote:
> 
>> Meh. Don't like using Chess as a measurement of AI competence. Chess is in
>> AI's wheelhouse. Once a computer can store all the possible permutations of
>> chess,
>> 
> 
> I agree on the sentiment, but a small point: the state-space of Chess is
> about 10^44 <https://en.wikipedia.org/wiki/Game_complexity>. No computer
> has, or foreseeably will, store all the possible permutations. It's the
> nature of machine learning that it's pretty much impossible for us to
> understand what something like AlphaZero
> <https://en.wikipedia.org/wiki/AlphaZero> *does* store, but it's not
> anything like "in this position, play this move". Further, it appears
> AlphaZero used 16GB of memory. It looks like Stockfish 10 (which I think is
> considered stronger than AlphaZero) can use more, but will operate in 16GB
> of memory as well.
> 
> gc
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