awesome-cl VS paip-lisp

I know you're not asking for recommendations, but Lisp, particularly SBCL, really seems to check all your boxes. I say this as someone who generally reaches for Scheme when it comes to Lisps too.

There are a few game engines[0] for CL, but most of them seem to be catered specifically to 2D games.

[0] https://github.com/CodyReichert/awesome-cl?tab=readme-ov-fil...

Hello, a single counter-example I hope https://lispcookbook.github.io/cl-cookbook/editor-support.ht...

(see more from https://github.com/CodyReichert/awesome-cl?tab=readme-ov-fil...

https://cl-community-spec.github.io/pages/index.html

and some more)

Everyone, if you don't have a clue on how's Common Lisp going these days, I suggest:

https://lisp-journey.gitlab.io/blog/these-years-in-common-li... (https://www.reddit.com/r/lisp/comments/107oejk/these_years_i...)

A curated list of libraries: https://github.com/CodyReichert/awesome-cl

Some companies, the ones we hear about: https://github.com/azzamsa/awesome-lisp-companies/

and oh, some more editors besides Emacs or Vim: https://lispcookbook.github.io/cl-cookbook/editor-support.ht... (Atom/Pulsar support is good, VSCode support less so, Jetbrains one getting good, Lem is a modern Emacsy built in CL, Jupyter notebooks, cl-repl for a terminal REPL, etc)

check out the editor section, there's more than Emacs these days: https://lispcookbook.github.io/cl-cookbook/editor-support.ht...

- https://github.com/CodyReichert/awesome-cl for libraries

- https://www.classcentral.com/report/best-lisp-courses/#ancho...

- a recent overview of the ecosystem: https://lisp-journey.gitlab.io/blog/these-years-in-common-li... (shameless plug, on HN: https://news.ycombinator.com/item?id=34321090)

More HTML generators for CL: https://github.com/CodyReichert/awesome-cl#html-generators-a... there are lispy ones (Spinneret), Django-like ones (Djula, I like it, easy to use and extend), HTML-based allowing for inline Lisp code (Ten), JSX-like ones (lsx, markup), and more.

https://github.com/CodyReichert/awesome-cl is usually a good place to find recommendations. Jzon is pretty good.

> obstacles add up

I actually agree. It wasn't smooth for me to ship my first CL app. It's all better now (more tools, more documentation, more blog posts from several people, more SO questions and answers!).

> performant

SBCL is in the same ballpack of C, Rust or Java in many benchmarks.

In this article series, the author writes the same program in CL, Rust and Java. In fact, he copy-pastes a PG snippet from 30 years ago. This snippet beats Rust and Java in LOC and speed. But, yeah, he wasn't writing super efficient Rust code, so after many discussions, pull requests and sweating, the Rust code became the most performant. https://renato.athaydes.com/posts/revisiting-prechelt-paper-... It didn't take work to make the CL code performant, more so for the Rust one ;)

a benchmark after sb-simd vectorization: https://preview.redd.it/vn5juu36v2681.png?width=715&format=p... (https://www.reddit.com/r/Common_Lisp/comments/riedio/quite_a...)

> good tools for networking, for writing concurrent or asynchronous code, for graphics,

I refer the reader to https://github.com/CodyReichert/awesome-cl but yes, CL won't have the best libraries in some scenarii (GUI? Tk libs are good, we have Gtk4, a Qt5 library used in production© by a big player but difficult to install etc)

> it doesn't give you a good package manager or means of distributing code

Quicklisp is neat, with limitations, that can be addressed with Qlot, ql-https, or CLPM or the newest ocicl.

It's a good book!

Modern companions would be:

- the Cookbook: https://lispcookbook.github.io/cl-cookbook/ (check out the editors section: Atom/Pulsar, VSCode, Sublime, Jetbrains, Lem...)

- https://github.com/CodyReichert/awesome-cl to find libraries

Also:

- https://stevelosh.com/blog/2018/08/a-road-to-common-lisp/

- https://news.ycombinator.com/item?id=34321090 2022 in review

> static strong typing

Alright, here is it: https://github.com/coalton-lang/coalton/

> small efficient native binaries

The numbers are: with SBCL's core-compression, a web app with dozens on dependencies will weight ±30 to 40MB. This includes the compiler, the debugger, etc. Without core compression, we reach ±150MB.

> The actor runtime?

the actor library: https://github.com/mdbergmann/cl-gserver

> couldn't find a way to make money with it. I suspect many other programmers are in my boat.

Alright. Some do, that's life. Yes, some companies go with CL even in 2023 (https://lisp-journey.gitlab.io/blog/lisp-interview-kina/, they released https://github.com/KinaKnowledge/juno-lang lately; Feetr (finance): https://twitter.com/feetr_io/status/1587182923911991303)

https://github.com/azzamsa/awesome-lisp-companies/

> Give us an HTTP (1.x & 2.0) and WebSockets libraries

How so? We have those libraries. HTTP/2: https://github.com/zellerin/http2/

https://github.com/CodyReichert/awesome-cl

https://leanpub.com/lovinglisp -- this one is great, and the first thing I recommend

https://lispcookbook.github.io/cl-cookbook/ -- also great and up to date

https://awesome-cl.com/ -- for anything else.

Have you seen https://stevelosh.com/blog/2018/08/a-road-to-common-lisp/ ? "Kludges" everywhere is applicable. On the other hand, having a function like "row-major-aref" that allows accessing any multi-dimensional array as if it were one dimensional is "sweeter than the honeycomb".

I still think CL code can be beautiful. Norvig's in PAIP https://github.com/norvig/paip-lisp is nice.

As for the inside-out remark, while technically you do it, you don't have to, and it's very convenient to not do. Clojure has its semi-famous arrow macro that lets you write things in a more sequential style, it exists in CL too, and there's always the venerable let* binding. e.g. 3 options:

    (loop (print (eval (read))))

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.