clojure-style-guide VS paip-lisp

Fixed link to that style guide entry: https://guide.clojure.style/#opt-commas-in-map-literals

Per that style guide, the above map would be formatted like this (on HN, just indent by two spaces):

  {:a 1

As for the broader question of Clojure style, there are style guides like https://github.com/bbatsov/clojure-style-guide and tools like clj-kondo to help learn and reinforce important practices.

Basically, you learn the expected places to put whitespace, make sure to edit your code accordingly and all of the parens will be automatically closed and adjusted. Using parinfer—which you can also combine with the more traditional paredit—makes writing Clojure code a lot like writing Python.

Also, there are guidelines, the styleguide, clj-kondo, kibit etc. And if you don't review your interns/juniors code to teach them good practices - you're doing it wrong (well, this one is true for any practical PL out there).

Another good resource is https://guide.clojure.style/ -- the (unofficial) community style guide for Clojure.

It's not an answer to your question but i can refer you to https://github.com/bbatsov/clojure-style-guide

The same could be said about the "Clojure Style Guide" from the Cider guy. As a matter of fact, there was an issue about it that was quickly declined https://github.com/bbatsov/clojure-style-guide/issues/232

Formatting is not that great, see https://github.com/bbatsov/clojure-style-guide btw

PAIP by Peter Norvig, Chapter 23, Compiling Lisp

https://github.com/norvig/paip-lisp/blob/main/docs/chapter23...

Emacs is so much more than a text editor! But I need to stay on topic...

I believe your assessment of LISP (and therefore of MacArthy)'s impact on AI to be unfair. Just a few days ago https://github.com/norvig/paip-lisp was discussed on this site, for example.

Sounds like a great project idea to make a toy demo of this direction you'd like to see. Maybe comparable to https://github.com/norvig/paip-lisp/blob/main/docs/chapter15... and https://github.com/norvig/paip-lisp/blob/main/docs/chapter8.... which are a few hundred lines of Lisp each, but do enough to be interesting.

You could look into Paradigms of AI Programming by Peter Norvig which might interest you regardless of Lisp content.

Lisp has great power, examine PAIP, part II chapters 7 and 8.

A computer running Prolog reasons, and that only requires a couple of pages of code. So it seems feasible that the network could have learned some ability to reason within its network.

IMHO it's because lisp shines to manipulate symbols whereas the current AI trend is crunching matrices.

When AI was about building grammars, trees, developing expert systems builds rules etc. symbol manipulation was king. Look at PAIP for some examples: https://github.com/norvig/paip-lisp

This paradigm has changed.

Origen: Conversación con Bing, 4/4/2023(1) gigamonkey/monkeylib-binary-data - GitHub. https://github.com/gigamonkey/monkeylib-binary-data Con acceso 4/4/2023. (2) paip-lisp/chapter4.md at main · norvig/paip-lisp · GitHub. https://github.com/norvig/paip-lisp/blob/main/docs/chapter4.md Con acceso 4/4/2023. (3) bibliography.md · GitHub. https://gist.github.com/gigamonkey/6151820 Con acceso 4/4/2023.

If anyone is interested PAIP is downloadable at https://github.com/norvig/paip-lisp