burgled-batteries
paip-lisp
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| burgled-batteries | paip-lisp | |
|---|---|---|
| 2 | 65 | |
| 112 | 7,006 | |
| - | - | |
| 0.0 | 0.8 | |
| over 6 years ago | 7 months ago | |
| Common Lisp | Common Lisp | |
| GNU General Public License v3.0 or later | MIT License |
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burgled-batteries
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Tutorial Series to learn Common Lisp quickly
> Not sure if such a thing already exists for CL
couple of solutions exist for this
https://github.com/bendudson/py4cl
https://github.com/pinterface/burgled-batteries
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Anybody using Common Lisp or clojure for data science
burgled batteries
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
What are some alternatives?
hissp - It's Python with a Lissp.
mal - mal - Make a Lisp
neanderthal - Fast Clojure Matrix Library
30-days-of-elixir - A walk through the Elixir language in 30 exercises.
py4cl - Call python from Common Lisp
Crafting Interpreters - Repository for the book "Crafting Interpreters"
dtype-next - A Clojure library designed to aid in the implementation of high performance algorithms and systems.
coalton - Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.
qvm - The high-performance and featureful Quil simulator.
picolisp-by-example - The source code of the free book "PicoLisp by Example"
julia - The Julia Programming Language
slime - The Superior Lisp Interaction Mode for Emacs