paip-lisp
milewski-ctfp-pdf
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| paip-lisp | milewski-ctfp-pdf | |
|---|---|---|
| 65 | 75 | |
| 7,005 | 10,733 | |
| - | - | |
| 0.8 | 5.3 | |
| 6 months ago | 18 days ago | |
| Common Lisp | TeX | |
| MIT License | GNU General Public License v3.0 or later |
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paip-lisp
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Ask HN: Guide for Implementing Common Lisp
PAIP by Peter Norvig, Chapter 23, Compiling Lisp
https://github.com/norvig/paip-lisp/blob/main/docs/chapter23...
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The Meeting of the Minds That Launched AI
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.
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Towards a New SymPy
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.
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A few newbie questions about lisp
You could look into Paradigms of AI Programming by Peter Norvig which might interest you regardless of Lisp content.
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Mathematical paradigm?
Lisp has great power, examine PAIP, part II chapters 7 and 8.
- Peter Norvig – Paradigms of AI Programming Case Studies in Common Lisp
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Evidence that GPT-4 has a level of understanding
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.
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Conversation with Larry Masinter about Standardizing Common Lisp
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.
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A lispy book on databases
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.
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A Retrospective on Paradigms of AI Programming (2002)
If anyone is interested PAIP is downloadable at https://github.com/norvig/paip-lisp
milewski-ctfp-pdf
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reflect-cpp - Now with compile time extraction of field names from structs and enums using C++-20.
Category Theory for Programmers by Bartosz Milewski (https://github.com/hmemcpy/milewski-ctfp-pdf/releases)
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Category Theory for Programming
Strangely similar name to the well-known 'Category Theory for Programmers'
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Polynomial Functors: A Mathematical Theory of Interaction [pdf]
There's this, but the programmer doesn't have to be working:
https://bartoszmilewski.com/2014/10/28/category-theory-for-p...
- Monads vs Classes
- 今天看到的，是真的离谱。
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Reading recomendations on Category Theory
Milewski's "Category Theory for Programmers".
- Ask HN: Math for Programmers?
- [Math] Category Theory for Programmers
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Some math topics get mentioned a bunch in functional programming articles and forums. Which ones have ever actually helped you in writing your programs?
(3) category theory. I was never advised to read any, but found that bartosz's introduction really good. https://bartoszmilewski.com/2014/10/28/category-theory-for-programmers-the-preface/. Helps to rewire the brain.
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what is the relation of a class in programming and category theory?
It's also possible to model programming languages using category theory, but I know less about that. If you're interested in following this up, then Benjamin Pierce has what I'm told is a good introduction to category theory for computer scientists, and Bartosz Milweski has an online book (it might be available in hard copy as well, I'm not sure) called Category Theory for Programmers. I believe simple programming languages like the simply typed lambda calculus end up being modelled as Cartesian closed categories.
What are some alternatives?
mal - mal - Make a Lisp
semantic-source - Parsing, analyzing, and comparing source code across many languages
30-days-of-elixir - A walk through the Elixir language in 30 exercises.
web-dev-golang-anti-textbook - Learn how to write webapps without a framework in Go.
Crafting Interpreters - Repository for the book "Crafting Interpreters"
practicing-ruby-manuscripts - Collection of source manuscripts for publicly released Practicing Ruby articles
coalton - Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.
owasp-masvs - The OWASP MASVS (Mobile Application Security Verification Standard) is the industry standard for mobile app security.
picolisp-by-example - The source code of the free book "PicoLisp by Example"
Yup - Dead simple Object schema validation
slime - The Superior Lisp Interaction Mode for Emacs
You-Dont-Know-JS - A book series on JavaScript. @YDKJS on twitter.