Training the AI to write better LiveCode

Mike Kerner MikeKerner at roadrunner.com
Tue Jan 24 14:28:01 EST 2023


zdnet reports that chatgpt pro subscriptions are about $42/month.

On Tue, Jan 24, 2023 at 11:10 AM Bob Sneidar via use-livecode <
use-livecode at lists.runrev.com> wrote:

> 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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