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I do think LISP remains the major language that can encompass the strange loop idea he explored in his work. I know LISP is not the only homoiconic language, but it is the biggest that people know how to use where the "eval" function doesn't take in a string that has to be parsed.

I hate that people are convinced LISP == functional programming, writ large. Not that I dislike functional programming, but the symbolic nature of it is far more interesting to me. And it amuses me to no end that I can easily make a section of code that is driven by (go tag) sections, such that I can get GOTO programming in it very easily.




Another (properly functional) homoiconic language that enjoyed mainstream adoption briefly in '00s is XSLT. Its metaprogramming features were rather widely used, that is, producing an XSLT from XSLT and maybe some more XML, instead of hand-coding something repetitive, was rather normal.

The syntax was a bigger problem than Lisp's syntax, though.

It's not easy to produce a language with a syntax that's good as daily use syntax, but is also not unwieldy as an AST. Lisp is one of the few relatively successful examples.


I don't know how many other languages use it but I've long admired Elixir's approach to giving devs access to the AST using its basic types in order to write macros:

https://hexdocs.pm/elixir/macros.html

It is certainly possible to implement this sort of thing in other languages, I think, depending on the compilation or preprocessing setup


Possible doesnt mean "requires same ammount of effort"


That's fair. I think it's a big win, though. Macros, when the situation calls for it, are amazing. For example, I believe most of the UTF8 handling code in Elixir was done via macros which brought down the amount of code that had to be maintained by quite a bit.


Thanks for this little flashback to when I had to write XSLT for apache cocoon as my student job


> The syntax was a bigger problem than Lisp's syntax, though.

Yeah. XML and S expressions are pretty close to functionally equivalent. But once you've seen S expressions, XML is disgustingly clumsy.


They have a different model -- one is better for documents, and one is better for programs/data

XML and HTML are attributed text, while S-expressions are more like a homogeneous tree

If you have more text than metadata, then they are more natural than S-expressions

e.g. The closing </p> may seem redundant, until you have big paragraphs of free form text, which you generally don't in programs


SGML was intended for sparse markup in mostly plaintext files. From it grew HTML that is markup-heavy, and XML which is often 100% markup. What made sense for rare markup nodes became... suboptimal when applied in a very different role.


1. GML => SGML => XML

2. rm *

3. JSON

4. rm -rf /


"Any data can be turned into Big Data by encoding it in XML."


Wow.

Also:

XML: eXtremely Murky Language

or Mindblowing


For a while that is how I made my Website dynamic, by writing everything in XML and linking XSLT stylesheets, however the future ended up not being XHTML, and eventually I rewrote those stylesheets in PHP.

Doesn't win any price, or content worth of "I rewrote X in Y" blogpost, but does the job.


Not to mention specifically with Scheme and continuation-oriented programming, the line between functional and non-functional programming becomes so blurry as to become nearly meaningless.


The definition of functional programming is itself quite blurry, says Chris Lattner (of Swift, LLVM, Mojo), in this talk I posted here recently:

https://news.ycombinator.com/item?id=41822811


Even the definition of a lisp is blurry when we zoom in to find the seperation boundry


Lambda: the ultimate GOTO


I love and relate to any impassioned plea on SWE esoterica, so this seems like as good of a place as any to ask: What, in practice, is this deep level of "homoiconic" or "symbolic" support used for that Python's functools (https://docs.python.org/3/library/functools.html) doesn't do well? As someone building a completely LISPless symbolic AGI (sacrilege, I know), I've always struggled with this and would love any pointers the experts here have. Is it something to do with Monads? I never did understand Monads...

To make this comment more actionable, my understanding of Python's homoiconic functionality comes down to these methods, more-or-less:

1. Functions that apply other functions to iterables, e.g. filter(), map(), and reduce(). AKA the bread-n-butter of modern day JavaScript.

2. Functions that wrap a group of functions and routes calls accordingly, e.g. @singledispatch.

3. Functions that provide more general control flow or performance conveniences for other functions, e.g. @cache and and partial().

3. Functions that arbitrarily wrap other functions, namely wraps().

Certainly not every language has all these defined in a standard library, but none of them seem that challenging to implement by hand when necessary -- in other words, they basically come down to conviences for calling functions in weird ways. Certainly none of these live up to the glorious descriptions of homoiconic languages in essays like this one, where "self-introspection" is treated as a first class concern.

What would a programmer in 2024 get from LISP that isn't implemented above?


I'm basically a shill for my one decent blog post from a while back. :D

https://taeric.github.io/CodeAsData.html

The key for me really is in the signature for "eval." In python, as an example, eval takes in a string. So, to work with the expression, it has to fully parse it with all of the danger that takes in. For lisp, eval takes in a form. Still dangerous to evaluate random code, mind. But you can walk the code without evaluating it.


HackerNews sadly never fails to disappoint. Thanks for taking the time to share, that was exactly what I was looking for! Would endorse this link for any lurkers.

The LISP (elisp?) syntax itself gives me a headache to parse so I think I'll stay away for now, but I'll definitely be thinking about how to build similar functionality into my high level application code -- self modification is naturally a big part of any decent AGI project. At the risk of speaking the obvious, the last sentence was what drove it home for me:

    It is not just some opaque string that gets to enjoy all of the benefits of your language. It is a first class list of elements that you can inspect and have fun with. 
I'm already working with LLM-centric "grammars" representing sets of standpoint-specific functions ("pipelines"), but so far I've only been thinking about how to construct, modify, and employ them. Intelligently composing them feels like quite an interesting rabbit hole... Especially since they mostly consist of prose in minimally-symbolic wrappers, which are probably a lot easier for an engineer to mentally model--human or otherwise. Reminds me of the words of wonderful diehard LISP-a-holic Marvin Minsky:

  The future work of mind design will not be much like what we do today. ...what we know as programming will change its character entirely-to an activity that I envision to be more like sculpturing.
  To program today, we must describe things very carefully because nowhere is there any margin for error. But once we have modules that know how to learn, we won’t have to specify nearly so much-and we’ll program on a grander scale, relying on learning to fill in details.
In other words: What if the problem with Lisp this whole time really was the parentheses? ;)

source is Logical Versus Analogical or Symbolic Versus Connectionist or Neat Versus Scruffy: https://onlinelibrary.wiley.com/doi/full/10.1609/aimag.v12i2...


Glad you liked the post. I didn't do any effort to make the elisp readable, so please don't let that fully put you off the topic! :D

I keep meaning to expand on the idea. I keep not doing so. I have higher hopes that I can get back to the rubik's cube code. Even there, I have a hard time getting going.


> In other words: What if the problem with Lisp this whole time really was the parentheses? ;)

I am yet to find a syntax style more ergonomic than s-expressions. Once you appreciate the power of structural code editing your view of s-expressions is likely to change


> HackerNews sadly never fails to disappoint.

FYI, that means the opposite of how you used it.

"Never fails to disappoint" is an idiom that means a person or thing consistently disappoints.


I was grappling -- and failing -- to parse that comment. Thank you for explaining.

To unpack the explanation, because I was wondering how the very negative statement could be misinterpreted:

"Never" is a negative; "fails" is a negative; in English, two negatives cancel out.

"Never fails to disappoint" means "always disappoints".


But they said "sadly". They said "HackerNews sadly never fails to disappoint".

If they really meant the opposite that "HackerNews never disappoints" why would that be "sad"?

But since they said "sadly" I think they really meant what they wrote which is that HN consistently disappoints them. Maybe they meant that the Lisp articles on HN do not go into describing exactly how "code as data" works in actual practical matters and that is consistently disappointing? And they are finally happy when someone explained "code as data" to them in the comments section?


The syntax of Lisp is made up of the same fundamental data types as you use when writing Lisp programs. `(+ 1 2 3)` is both a Lisp expression that evaluates to 6 and also a list containing four items, the symbol `+` and the numbers 1, 2, and 3.

In general, we can say that the Lisp language is very good at manipulating the same data types that the syntax of Lisp programs is made from. This makes it very easy to write Lisp programs that swallow up Lisp programs as raw syntax, analyze Lisp programs syntactically, and/or spit out new Lisp programs as raw syntax.


Some of it is because many people's only contact with Lisp is via academia, and the academics who teach it actually don't care about developing anything with Lisp. They use it as a vehicle for concepts, and those concepts typically revolve around functional recursion.

The Scheme language and it surrounding culture are also culprits. Though Scheme isn't functional, it emphasizes pure programming more than its Lisp family predecessors. The basic language provides tail recursive constructs instead of iterative ones, and demands implementations to implement optimized tail calls.




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