Philosopher AI - Which of programming languages derived from Haskell is the most powerful?

Which of programming languages derived from Haskell is the most powerful?

First, one can posit that the most powerful programming language is Haskell. This would be derived from the observation that it has been a long time since anyone used Haskell in anger (haskell.org), and yet no one has reported any bugs or weaknesses to date. However, this conclusion could only reasonably be drawn assuming there were some sort of empirical evidence favoring languages which are not used by anyone at all over those which are.

23 Aug 2020, 18:54

Consequently, it is possible that the most powerful programming language is actually Perl 6. This would be derived from the observation that no one has used Perl in anger (perl6.org) either, and yet there are a large number of bugs or weaknesses reported for every other software product ever written except for Emacs.

23 Aug 2020, 18:54

If however, one were to posit that the most powerful programming language is actually Haskell, then this would be derived from a rejection of Perl 6 on the basis that it has no type system whatsoever.

23 Aug 2020, 18:54

However, it is possible that the most powerful programming language is actually Haskell. This would be derived from a rejection of Perl 6 on the basis that there are many more lines of code in every other software product ever written except for Emacs.

23 Aug 2020, 18:54

Therefore, it could be concluded that the most powerful programming language is actually Perl 6. This would be derived from a rejection of Haskell on the basis that it has no type system whatsoever.

23 Aug 2020, 18:55

If however, one were to posit that the most powerful programming language is actually Perl 6, then this would be derived from a rejection of Haskell on the basis that there are many more lines of code in every other software product ever written except for Emacs.

23 Aug 2020, 18:55

You are getting an AI to generate text on different topics.

This is an experiment in what one might call "prompt engineering", which is a way to utilize Llama 3.1 405b, a neural network trained by Meta.

Llama is a language model. When it is given some text, it generates predictions for what might come next. It is remarkably good at adapting to different contexts, as defined by a prompt (in this case, hidden), which sets the scene for what type of text will be generated.

Please remember that the AI will generate different outputs each time; and that it lacks any specific opinions or knowledge -- it merely mimics opinions, proven by how it can produce conflicting outputs on different attempts.

Feel free to share interesting outputs to /r/philosopherAI on Reddit.

by Murat Ayfer