GPT and the Voynich. Code! Not a solution!

[Dunsel]

~ 1986 Struggled with x86 assembler, gave up
~ 1989 Learned PowerBasic, useless today

~ 2012 Since switching to Linux, only Python and shell scripts

I only really used AI to:
- Beautify Python code (works surprisingly well)
- Translate texts from manuscripts (with some hallucinations, but it's getting better)

For all other requests, especially those that are more fact-based, I find the answers too vague and long-winded.
It always boils down to: “I can do XY, do you want me to do that?”

My job requires I travel a lot.  That means I have lots of time to chat with AI.  Beats listening to ads on the radio.  And yea, that whole question at the end gets REAL annoying.  The one I really hate is when I spend the time to build these parsers, I get the prompt wrong, and it slips it's own regex in there because it knows it's faster than the parser.  Accuracy be damned.

And, that's why I use Colab.  I force it to write out the python to Colab, double check it, have Gemini look it over if I'm uncertain and then... only then... trust the output.  And still add in good bit of skepticism.  

Had it put out the V101 heatmap and then had it create a table of the letter counts. I immediately realized, the two were different.  Found out, the routine to sort the columns did so alphabetically and somehow (it blamed mathematica) it skipped to every 9th column.  Trust but verify.