++++
2/26/2024
++++


It does not appear there is a LLM right now that can write
in Pilish, which is a constrained writing system where you
take the digits of Pi and write where the number of letters
in each word correspond with the digits in Pi.  For
reference, here's a start
3.141592653589793238462643383279502884

(I wanted to get the string of pi long enough to include a
zero and then a bit more ... if you are interested in how
that is handled in Standard Pilish see [1]).

   3   1  4   1 5     9
 | Can I bite a funny chocolate?

Is an example sentence in Pilish.

The free GPT will just screw it up over and over again, and
do that attempt at convincingly lying thing it does. Someone
who is paying for GPT-4 had it try, and the first result it
spit out was a plagiarized poem [2], and then it failed any
further attempts.

.. It's really funny to watch a program make arthritic
errors, IE a computer not computing correctly. It's like a
like a funny chocolate to bite right into, on the
metaphorical level, which chatGPT is very much able to
manipulate and discuss.

It just can't count.

I'll leave the why to those who are more technically
inclined than me. I'll close out with a Pilish sentence
mocking GPT:

 | GPT: "I need a clear tradition to simply write any
 | thing."

And the best piece of Pilish I have written:

 | Dao: a love, a twist, tiptoeing in cosmic jokes and
 | minor delights, localized utopias; Mysticism -- wei wu
 | wei.


==

[1] How do you deal with zeroes in Pilish? The convention
that has been settled on is 10 letter word. Here seems like
the only place to point out that if you want to work in
words over 10 letters, they will count as two digits in Pi.
So clearly, they can only be worked into very specific
places.

[2] The website in question has a clear notice that it
doesn't want anything copied without written permission.
While I don't personally like copyright, it is the law of
the land, and this site is at the very least not releasing
anything beyond fair use... And even fair use would require
some kind of attribution, which the trainers of LLMs
refused to make a consideration.

==

This work (unlike the site openAI stole from) is hereby in
the public domain.

Do what you want with it.