In case you haven't followed the saga, the latest[1] digg.com relaunch failed because they couldn't deal with the bot onslaught [2]. Whoever finds a reliable way to keep AI out of an online community first is likely to become a very rich person.
[1] Second-to-last, actually, seeing as there seems to be a new homepage right now.
[2] https://www.techspot.com/news/111698-digg-relaunch-fails-two...
Plus "AI" is a spectrum, with "the AI fixed a typo for me" at one end, and "the AI writes my posts for me" at the other.
I believe it’s the opposite: You have to pay competent human moderators. Like here on HN.
All kidding aside, I've never heard them called causal hyperbolic before. It's a good term.
Given that they wrote their goodbye post using LLMs and gave up after such a short amount of time, I don't take that at face value the same way I don't believe AI layoffs
I'd have to read the FIDO specs, however the only place I've seen webauthn hardware pinning in the wild is with Azure AD/Entra which is ostensibly based on token GUID. If this is the only enforcement mechanism available, it's spoofable.
The Entra feature you thinking of lets somebody say "Only things which can prove they're in this list work". This could make sense if you, as their employer, issue every employee a custom DoodadCorp Doodad FIDO key and so you don't want somebody's Yubikey or off-brand generic device to work. It's stupid and you shouldn't do it in other scenarios, but your "this is how we detect humans" idea is arguably a scenario where that could make sense.
[Edited to add: This feature is called "Attestation"]
Anyway, marketers see a popular site like a physical billboard, where they would pay thousands a month for their message to be seen by thousands of people. If you made it cost pennies to post, and a few more pennies to boost and astroturf, AND that the post would be seen by millions of people, they'd say "By Grabthar's hammer, what a bargain!!" and order a hundred more per day...
does seem like more things will have to go this way though
I used to think that a small payment could accomplish the same thing, but X selling blue check marks proved that doesn’t help much. Well, at least it’s a much weaker signal than the previous curated version.
The challenge is any barrier to entry high enough to discourage motivated spammers is also high enough to discourage casual users. That disrupts the network effects you’ve traditionally needed to bootstrap a social website.
If I was trying to get a new social site off the ground right now, I would try:
1) secure a good brand from the pre-AI era. Twitter, Digg, Friendster, MySpace. Something that motivates a first look.
2) Require third party identity verification on sign up, configured so the social site is never the custodian of PII, though require enough demographics to support high-value advertising later. Verification is free to the user, ideally provide multiple verification options- one US and one EU at minimum.
3) Target a few core communities and invest. Find the people who moderate historically great subreddits, were active in twitter communities during the good years, etc. get them in your platform. Maybe even pay them.
That should be enough to tell you if it’s going to work or not.
That's lobsters I guess. AI posts got banned there after a 300+ comment discussion, probably the biggest ever on the site.
The exact rule the moderators settled on was "meaningful human authorship" but don't be fooled: a lot of people on lobsters are ideologically opposed to LLMs. Doesn't matter how "meaningfully" the technology was applied. My work was classified as slop simply because AI touched it. People referred to me as an exhibitionist and fetishist when I talked about using AI. Just a heads up for anyone who's thinking of joining.
This is something I think about a lot, especially how one could pull it off without tearing down anonymity online. Having some sort of "proof of humanity" is a hard problem to solve.
How is the syntax new?
It looks like lispy - see the outer parens in the examples given.
> the difficult thing I’ve found over the years is that Lisp is sort of unexplainable
I've found that getting rid of the parentheses helps.
f(x)
(f x)
["f", "x"]
(print (< 10 20))
["print", ["<", 10, 20]]
code = ["print", ["<", 10, 20]]
def eval(code):
# magic
eval(code)
True
These articles are very good and accessible:
Not anymore. I started with Racket and went through the Little Schemer. I did Clojure for a while. I even used Babashka to write all my scripts, then later rewrote them in other languages.
I gave it a good try. Maybe it wasn't enough to properly "get it"?
What did you end up rewriting your bb scripts in?
------
The syntax is actually a big pro for a lot of people. I love its streamlined look that basically reads like Python once you let your IDE indent properly and learn to see "through" the parentheses (CL, Scheme).
The original language where everything is an expression and it shows. Where Python still needs an ugly ternary and made match a statement, Lisp has had the perfect IF and COND since the dawn of time.
Symbols are still a cool and useful concept that almost no other language I know of got.
The numerical tower - despite some holes - is amazing. Built-in rationals and "correct math" as sane default (i.e. 1/2 not returning 0) never get old.
------
And if you let me rave about CL specifically (e.g. DECLARATIONs as "#pragma done well", restarts, CLOS/MOP, runtime READ/COMPILE, etc...), there are a lot of cool features barely copied anywhere that'd improve other languages, but these aren't part of "what make Lisp Lisp".
I was really impressed by how small the executable file was. I’d only ever done web development with Node.js up until then.
I do LOVE that Janet can create binaries with JPM, scripts, and is very portable. I once put the Janet programming language on the Playdate game console as POC.
I actually do enjoy writing Janet, but every time I do people think I created the language (I did not).
What do you concretely mean by this? I use https://github.com/joy-framework/joy for all web stuff and can probably get your missing features in within the week.
you should totally do a "Janet writes Janet" version
I think there's a lot of value in forking LuaJIT2 and reworking the debugging and error structures within to make it more suitable for language transparency. Doing so would make languages like Fennel much more attractive.
What exactly do you mean by this? Speed? Portability? Ease of use?
Where I'd say it advances into breaking SBCL's jaw is that the runtime, interpreter, jitter, etc. are all much smaller than SBCL's runtime and compiler. If you're looking for a complete system, I'd say SBCL wins out obviously. You're talking a world-class REPL, debugger, a high quality stdlib, etc. All it's missing is a text editor like LispWorks (emacs and pretty much every other FOSS Lisp editor I've seen is a massive downgrade.) With that in mind, SBCL is not something you embed in an application written in another language. The holy grail is getting something as fast as SBCL, as flexible as SBCL, but as a 50k loc self-contained runtime. LuaJIT is the reigning heavyweight champ there, so having a Lisp-adjacent language like Fennel running atop it is a pretty damn compelling idea.
Interestingly with regards to text editors, Lua doesn't have that problem technically. Lite-XL is dangerously close to being zmacs/LispWorks for Lua. Poetically, just like Lua it's fairly bare bones and requires extension to be a decent IDE. But the underlying structure is absolutely fantastic, being based around a fairly cohesive object model rather than coats of paint over text buffers.
shout out to one modern feature: sandbox
"Disable feature sets to prevent the interpreter from using certain system resources. Once a feature is disabled, there is no way to re-enable it."
Those two fascinating art tools got me very excited about Janet a while back.
At first I said "what" out loud, since SETQ doesn't create bindings, it only updates them then I read the doc (https://janet-lang.org/docs/bindings.html) and the author is indeed wrong ("bindings created with def are immutable"). He probably meant "SETQ is set".
I really want to like Janet, as it seems to be the sweet spot between Guile, Tcl and CL (minus the speed/maturity of SBCL) but I have a visceral reaction to square brackets (so vectors) being used in lambdas and control flow operators. Same as Clojure, I simply can't get over it. Maybe I will with enough effort?
Also, what's the current LSP/SLIME status? Really important these days.
When round brackets are used, the first element in the list defines how the rest of the list is interpreted, for example:
(func a b c) — run a function with its parameters
(macro x y z) — expand a macro with its parameters
([p q r] …) — “bare” function body that starts with a vector of parameters, and executable forms follow.
Square brackets are used where elements are the same “kind”, and the first one is not special, e.g.:
(defn f [a b c] …) — a collection of same-kind parameters, the first parameter is not special
(let [a 1 b 2] …) — a collection of bindings, the first binding is not special
The only exception that comes to mind is grouping multiple matching elements in `case`, but it for ergonomics.
Once I got the logic, when which is used, I changed my mind, and ever since I’ve felt it’s beautiful.
https://janetdocs.org/tutorials
https://janet.guide/ (the author's one)
Clojure: 2007
Janet: 2019
These lisp guys really get excited over very abstract things. If you say this to an average person on the street they will probably try to run away.
A C macro with literals that lacks referential transparency:
#define MULTIPLY(x, y) x * y
int result = MULTIPLY(2 + 3, 4); // 14
Having a shared language of patterns and problems that occur in programming is a good thing. Ridiculing such terminology on the basis of "that group of programmers sure are weird" is pointless and counter productive.
Now if you relaxed just a little bit - the world would be much nicer place.
It’s kind of like in treesitter style editing, where you can “swap these two arguments,” “select this function,” “wrap this in a try block” with a single keyboard command… but way more standardized and granular. Plus with the ability to execute anything you highlight
All that and then you realize you can store code as data (since it’s just a data structure) and run data as code.
I think most programmers don’t realize how arbitrary the difference is between code and data until they get used to using LISP.
The concepts would be easier to grok up front if they just used normal function calls instead of "And now for this special syntax that only exists for this particular feature" which just adds more things to remember, instead of just the concepts themselves.
My point was, replacing n syntactic constructs by n functions or macros doesn’t reduce the cognitive load of having to know how each construct works. To the contrary, one can argue that everything having the same syntactic form makes it more difficult to distinguish different classes of features.
It was just an example, most languages have quirks like this. I don’t know about Java, but in Rust you have the turbofish operator, whose necessity stems from using the less-than sign as both an operator and a delimiter.
> My point was, replacing n syntactic constructs by n functions or macros doesn’t reduce the cognitive load of having to know each of them.
The difference is that if you don’t know a function/macro, you can just read its documentation. If you don’t know a syntactic construct, where do you look?
Another advantage is that if you want to create new functionality similar to existing language features, it won’t stick out like a sore thumb. For example, you could create an until loop:
(until (window-should-close)
(draw-screen))
# is equivalent to
(while (not (window-should-close))
(draw-screen))
until!(window_should_close(),
draw_screen());
// is equivalent to
while window_should_close() {
draw_screen();
}I just made a library with [query syntax](https://codeberg.org/veqq/declarative-dsls) over various data structures a la sql:
(import declarative-dsls/dataframes :as df)
(def people (df/dataframe :name :age :job))
(df/dataframe? people)
(df/insert! {:name "Bob" :age 30 :job "Developer"} :into people)
(df/insert! {:name "Alice" :age 27 :job "Sales"} :into people)
(df/update! :set {:job "Engineer"}
:where |(= ($ :job) "Developer")
:from people)
(df/save-csv people "people.csv" :sep "\\t")
(def people2 (df/load-csv "people.csv" :sep "\\t"))
(-> people2
df/dataframe->rows
df/rows->dataframe
df/print-as-table)
job age name
-------- --- -----
Engineer 30 Bob
Sales 27 Alice
(df/v + [1 2 3] 1 [1 2 3] 1) # returns: [4 6 8]
(df/v + 1 {:column [1 2 3] :key [1 2 3]}) # returns: {:column @[2 3 4] :key @[2 3 4]}
(df/v * [1 2 3] [[1 1 1]
[1 2 2]
[1 2 3]]) # returns: @[@[1 1 1] @[2 4 4] @[3 6 9]]
(jnj/j "3 4 $ i. 10") # returns: ((0 1 2 3) (4 5 6 7) (8 9 0 1))
(jnj/j "$" [3 4] (range 10)) # returns: ((0 1 2 3) (4 5 6 7) (8 9 0 1))
From my response, bigger than the article: https://lobste.rs/s/y0euno/why_janet_2023#c_lspe6n
Frankly, though, I think lispy community has benefited from being smaller. For example, even though the now ancient Design Patterns already warned programmers to prefer composition over inheritance, the OO programmers still created 15 levels deep hierarchies.
Referential transparency is a funny name for a very powerful feature which helps you understand what the program does better, it's not a deeply abstract thing. Don't let the name scare you.
You could ask "why the funny name"? Well, specialized professionals use specialized jargon, even for "normal stuff". It's unreasonable to expect otherwise. Car mechanics also have weird names for car parts that are absolutely essential for the car and not that hard to understand if they explained them to you.
I'm surprised: the language is very straightfoward, simple, very few rules to remember. It's a Lisp but with a very small surface area.
I mean, compared to other languages, Janet really is easier to lean, so I'm surprised that the book for it is difficult (did not read the book, but familiar-ish with the language. I don't have anything but praise for it, TBH).
I had that with Haskell. Although, while Haskell is too hard for me, I actually like its syntax.
Janet seems to be Lisp 2.0, so the syntax is lispy.
It seems easier to figure out what the similarities are, because I think they're pretty few, they seem to differ more than they are similar.
Using for scripting LISP-like languages is much more foolproof, especially for more complex scripts.
tcl if you want a UI, janet if you want an embedded scripting language.
Having tried many tiny interpreters over the years, that's relatively rare IME
I have the impression that Hy's user base is larger, though (not that either one is huge).
A language shouldn't advertise itself as "embeddable" if it does this. It means you can't have multiple interpreters, you can't use it on multiple threads, etc. GNU Guile does this too, and it's a baffling decision! For my field (audio plugins like VSTs), it means it's absolutely a no-go, because hosts can load any number of instances of your plugins and potentially run them in parallel in the same address space, they can't rely on global state like this. Each interpreter has to be separate.
Lua does this right, as does Python (as of 3.12, when they made the GIL local to each interpreter) and I think most of the JavaScript engines. And it's not hard, instead of a global `janet_init()`, just have an opaque pointer bundle all the state, like `janet_init(interpreter)`. If you want a global interpreter, just stick it in a global variable.
[1] official docs: https://janet-lang.org/capi/embedding.html
I would dispute that this is the case. In PEGs, alternatives are not commutative, unlike in regular expressions. This can lead to quite frustrating debugging. While a valid choice, the advantage over REs is overstated.
I personally don't like this at all. This means that regex engines that try to generate optimized matching code for an expression can end up generating suboptimal code if you don't want alternative order to matter, since the engine needs to keep that invariant, except in the case when it can prove that the alternatives won't overlap, and a later one can be checked in constant time. If both are true, it is legal to reorder them to do the constant time check before the big complicated wildcard-filled alternative.
But personally, I have never written a regex where I actively cared about the alternative evaluation order. I've used some other people made where order is important but never written one myself.
I'd love to be able to tell the engine "feel free to swap the evaluation order of my alternatives while optimizing", but few if any such engines offer that as a feature.
Now I get that PEGs have commutivity problems are that are different from regexes', which make the issue worse, but that doesn't mean regexes do things right either.
How fast is it?
Also my main objection to Lisps is still the horrible bracket syntax. Yes it's unambiguous and easy to parse, but it's HORRIBLE to read and edit. I wish this project had been a success (or something similar to it): https://readable.sourceforge.io/
Also I don't think static typing is really optional for me at this point.
In the first description of the language LISP, from March 1959 (AIM-008), John McCarthy had used the names "first" and "rest", instead of what later will be called "CAR" and "CDR".
The names of "CAR" and "CDR" appear to have come from the students who worked at the practical implementation of the LISP interpreter on an IBM 704, and unfortunately we have remained stuck with them, like also with other features that were intended only for a temporary use, until being replaced in the "final version" (which was abandoned).
Just FYI, many of these are also done in Scheme and its derivative Racket. They kept lambda (but even Python did that), but progn -> begin, setq -> set!, car -> first, and so on.
> Also my main objection to Lisps is still the horrible bracket syntax. Yes it's unambiguous and easy to parse, but it's HORRIBLE to read and edit.
I have pretty mixed feelings at this point. I don’t mind it for normal programming, but when I do numerical programming (physics models, etc.) you often get extremely long and verbose expressions that are IMO difficult to parse compared to the math-like infix operator notation used in other languages.
I wonder if we were raised on tree based algebra if math would be easier to do, or harder.
Like, solve for x.
(= (+ (* 2 x) 3) 11)
(= (* 2 x) (- 11 3))
(= (* 2 x) 8)
(= x (/ 8 2))
(= x 4)
(= (+ (pow x 2)
(pow y 2))
(pow r 2))Perhaps this exists already somewhere?
Interesting question. Much of the difficulty does stem from mentally translating back and forth between conventional notation and s-exps too, since you can’t really avoid the standard notation when reading and writing math and physics papers. And current-day math and physics notation has been optimized to some extent for the infix notation; perhaps one would have invented more expressive higher-order functions or macros to denote s-exp math if that was what everyone used for centuries.
Statements are terminated by either a dedicated graphical character, in which case it's easy to forget the character and have a problem, or by a newline (or maybe a different white space character, but I haven't encountered that yet) in which case decent formatting of code may require a dedicated graphical character to indicate that the newline DOESN'T terminate the statement, in which case we have the same problem. Having newline-terminated statements without continuation character would be consistent, but would hamper readability because identifiers would need to be strictly limited in length to keep certain lines from exceeding available screen space (or alternatively readability would suffer from lines only being partially readable).
And that's before getting into the weeds of how mathematical notation is tricky (most people have learned infix notation at maths class in school, so they mightn't appreciate how horrible it is), how different types of brackets (round, square, curly) can have inconsistent semantics, the downsides to the various ways of indicating lexical blocks (brackets, white space, keywords,...), et cetera.
The ideal programming language would probably be one which allows switching between different syntaxes based on what works best for the user (for example, someone could write code in S-expressions, another person could have that code automatically translated into SRFI-119 Wisp expressions and work with it like that, a third person could then have it rendered into something more Lua-like,...). Which is something I think the Racket people are working on, but I may be mistaken.
Is static typing that important for a scripting language? From the intro to the book:
> And to be clear, I’m not going to try to convince you to bet your next startup on Janet, or even to use it in any sort of production setting. But I think it’s an excellent language for exploratory programming, scripting, and fun side projects.
I use Parinfer, which allows me to edit Janet as if it was an indentation-based language.
This normally matters very little, because a good editor will always insert a complete template whenever you type something like "if", "for", "while" etc.
Most programmers are blind to the syntax defects with which they are accustomed and they notice only the syntax defects with which they are unfamiliar.
I would prefer a language with a good syntax, but unfortunately which programming languages have survived in widespread use has a poor correlation with the technical qualities of a language and especially a really negligible correlation with how good its syntax was.
Roughly as fast as puc-rio Lua. It won't blow your socks off, but it's more than respectable.
It also turns out that the mix is due to the standard library leaning on raw C loop iterations underneath whenever it can. Which is great! But it confuses the library's interface paradigms.
But I am truly biased. I have basically forgotten how to code everything else (besides APL family languages) in the past _checks notes_ 10 months since I started Janet. I even run a community [docs site](https://janetdocs.org/) and am writing [my own tutorial](https://janetdocs.org/tutorials/learn-to-program) (albeit slowly). I even use it in production for all new software (within 3 weeks of starting, I had rewritten all personal scripts etc.)
> Janet is simple
You can do literally everything with just hashmaps. The whole language is basically a hashmap, implementation wise. `(keys (curenv))` prints out all locally defined symbols. `(keys (getproto (curenv)))` prints the parent hashmap of the current environment i.e. all the core symbols. I don't, but you can basically do CLOS via hashmaps (and there is a [fuller implementation](https://git.sr.ht/~subsetpark/fugue) too.)
> Janet is distributable
I have like 20 websites and another dozen or so services running on Janet (with the [Joy webframework](https://github.com/joy-framework/joy) which I wrote a [tutorial](https://janetdocs.org/tutorials/Joy-Web-Framework) for), on a single free-tier VPS with 512mb of RAM.
> Janet has ... immutable collections
...not really. In reality, the whole standard library constantly returns mutable versions from everything. There's no reason to really try to be immutable at this point. Although there are cool [combinator libraries](https://git.sr.ht/~subsetpark/apcl-janet) and I've even made combinatorish versions of basic functions:
(defn better-cond
[& pairs]
(fn :bc [& arg] # names for stack traces
(label result
(defn argy [f] (if (> (length arg) 0) (apply f arg) (f arg))) # naming is hard
(each [pred body] (partition 2 pairs)
(when (argy pred)
(return result (if (function? body)
(argy body) # calls body on args
body)))))))
(map (better-cond
string? "not a number"
odd? "odd"
even? "even")
[1 2 3 "cat"]) # the args!
(map
(better-cond
1 (fn [arr] (array (min ;arr) (max ;arr)))) # (recombine array (unapply min) (unapply max)))
(partition 2 (range 10))) # these are the args!
((better-cond
< "first is smaller"
> "second is smaller")
5 3) # these are the args passed into the func! I am excited!
That's what got me hooked, in a few ways. In Racket or Go, I had to do a lot of work to process data at compile time so the runtime could literally just be a lookup table. In Janet? That's the default behavior of any `def` outside of main. The following turns a .tsv of the bible into a hashmap in the binary, when compiling:
(def verses (reduce (fn [acc line]
(let [parts (string/split "\t" line)]
(if (= (length parts) 5)
(let [[_ abbrev ch vs text] parts]
(put-in acc [abbrev ch vs] text))
acc)))
@{}
(string/split "\n" (slurp "kjv.tsv"))))
(def abbrev-array (keys verses)) # also makes an array of the abbreviation column
(defn main [_ & args]
(if (or (empty? args) (= "-h" ;args) (= "help" ;args))
(do (print "Usage: kjv <book> [chapter:verse]") (os/exit 1))) # show help
(let
[Capitalized (string (string/ascii-upper (string/slice (first args) 0 1)) (string/slice (first args) 1))
book (find |(string/has-prefix? $ Capitalized) abbrev-array)]
(pp (match args
[_ chap verse] (get-in verses [book chap verse])
[_ unsure] (match (string/split ":" unsure)
[chap verse] (get-in verses [book chap verse])
[chap] (get-in verses [book chap]))
[_] (verses book)))))
...but actually Ian Henry means Janet e.g. keeps closures synced across images/sessions:
(defn timer [t]
(var t t) # this is slightly annoying, must shadow as params are immutable
[(fn [] (set t (+ t 1)))
(fn [] (set t (+ t 2)))])
(def tx (timer 0))
# call like this:
((tx 0))
((tx 1))
# make an image and save it to file
(def my-module @{:public true})
(spit "test.jimage" (make-image (curenv)))
(defn restore-image [image]
(loop [[k v] :pairs image]
(put (curenv) k v)))
(restore-image (load-image (slurp "test.jimage")))
((tx 0))
Condensed from my longer response: https://lobste.rs/s/y0euno/why_janet_2023#c_lspe6n
(defn foo [first & rest] ...)
Although, this here is a good idea:
"pass values from compile-time to run-time"
Would be nice if some kind of "scripting" language be as fast as a compiled language, but without ruining the syntax. Just about 99% of the languages that are shown, have a horrible syntax. Syntax is not everything, but most language designers don't understand that syntax also matters. So tons of horrible languages emerge. Nobody will use those languages, so 99% of them will die off quickly.
Not sure if such transpilation would have a perf hit though, I hope somebody responds who knows about it more.
I don't deny that syntax matters itself too but there are some ideas of janet like sandboxing and other features which seem to me to be worth implementing in other languages too.
Personally, I would be really interested in a language like lua/wren which can transpile to Janet too.
I guess you don't like Lisp's syntax. I didn't either until I realized the key insight: when you're writing Lisp, you're basically writing an AST. Which is why it's so easy to manipulate your code. Want a new feature the language doesn't have, such as the pattern-matching they added to C# a few versions back? You can add it yourself; you don't need to wait for a language committee to implement it years after you needed it. That's all that macros are: functions that take AST and return AST, which is then executed.
And once I realized that Lisp's syntax was basically an AST, I no longer saw the parentheses. Now I just see blonde, brunette, redhead... Oops. Sorry. Wrong reference.
A humourous clip: https://youtu.be/etJ6RmMPGko?si=W98LdG1jDdUCXsHV
> Why is it called "Janet"? Janet is named after the almost omniscient and friendly artificial being in The Good Place
But from the looks of it, Janet has some great ideas like the one that @ramblurr shared here about sandboxing ("Disable feature sets to prevent the interpreter from using certain system resources. Once a feature is disabled, there is no way to re-enable it.")
Lisp from my understanding is incredibly polarizing and many people love it and many people hate it and that's fine, but at a certain point wouldn't it feel repetitive for statement like this and I am unsure of how healthy discussion about programming concepts can be done this way.
There are so many interesting things from lisp-y languages like Janet and Julia is technically lisp-y too and Julia's compilation to GPU is awesome and Nim too which can compile to C/C++/JS!
It's just so many interesting concepts overall in programming that paranthesis don't seem a concern to me as the underlying concept can be translated to something else, like sandboxing feature, transpilation to GPU or multiple targets!
And there are many unique concepts in non-lispy languages like golang (cross-compat, portability with static binaries), elixir (concurrency!) too.
It's just good to see the amount of innovation within programming from all spheres of influence :-D
I am much more annoyed by the random syntax inconsistencies of most popular programming languages, which are either caused by original language design mistakes, or, more frequently, by the late addition of some features that were not planned in the original language, so they had to be squeezed in with the help of various ugly workarounds.
While during the last years I have not used much LISP like languages, there have been times when I used them a lot, for several years, in scripting applications, e.g. the LISP variant of old AutoCAD, the Scheme-like scripting language of the Cadence EDA applications, or the scsh Scheme dialect that is usable for replacing UNIX shell scripts.
In all cases, these languages allowed a greater productivity associated with rarer bugs than the more popular scripting languages, like Python, Perl, TCL, bash.
While aesthetically I might prefer the look of a Python program, for solving a practical production problem I would prefer to write scripts in one of the LISP derivatives. Obviously, the productivity in various programming languages depends a lot on individual preferences and previous experiences.
It should be noted by all those who believe that the LISP-derived languages have too many parentheses, that the C programming language and all languages with syntax derived from it, like Java or Rust, have a great excess of parentheses in comparison with the older languages that had better designed syntaxes, e.g. ALGOL 68 or IBM PL/I.
For example, compare
for (i = 1; i <= 100; i += 5) { ... }
for i from 1 to 100 by 5 do ... od
if ( ... ) { ... } else { ... }
if ... then ... else ... fi
The second example has 8 syntactic tokens instead of the minimum required, which is 4.
If I cannot have a decent programming language with a minimum number of parentheses, I would rather have a programming language where all the places that need parentheses are predictable, like in LISP, instead of having a language like C and its derivatives, which require parentheses in random places, for no good reason at all.
for (i = 1; i <= 128; i *= 2) { … }
Now do
if (x <= 0)
throw ParameterException;