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lgrapenthin

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"Here is the X part", a commonly generated attention catcher these days, combined with an expert level fact, compacted into casual tone. Note it does not state opinion or reports subjective experience, which alltogether makes it a somewhat unfailable "Did you know?" addition. It is easy to mass generate such commentary and you can frequently find it on Twitter, too.

I find it hard to believe that a human would after reading this article make the stated observation, and then write this exact comment.

Clojure is about its rigorous and pragmatic "immutability first" paradigm that you simply don't get from other PLs.

LISP is much more than just a runtime syntax, such as its distinct evaluation model and metalinguistic core.

The JVM was chosen for Clojure because of its reach and vast ecosystem. People have ported Clojure to other runtimes, even Beam (Clojerl), where it enjoys decent success, too.

Might be some personal beef, but I don't know really and don't care enough. He makes these authorative claims mixed with personal sentiment and then doesn't back them up.

Here for instance the core team supposedly has "lost control of the compiler" https://x.com/dustingetz/status/1947643515480965346

Work on the compiler had been pushed a month earlier https://github.com/clojure/clojure/commit/6a3e0f02c6a96fcef2...

Indeed. Generated code is also harder to read because it violates all semantic expectations that rely on the mental model of a human author. A generated piece of code is linguistically plausible but often unknowingly imitates common idioms so incoherently that the actual bug may be accidentally disguised in a way no sane human (even a bad programmer) could have come up with.

Since LLMs have no internal evaluation, as a reviewer one has to account for it and evaluate line by line, rebuild from scratch any hidden rationale and tacit knowledge the LLM didn't have in the first place - only to be mislead into non concerns draining costly hours.

At this point, the investment is often deeper than writing from scratch.

They are just trying to peddle their "It's alive" headlines.

Text generators mostly generate the text their are trained and asked to generate, and asking it to run a vending machine, having it write blog posts under fictional living computer identity, or now calling it "Mythos" - its all just marketing.

I tried this on a small Clojure codebase and asked it to write some tests. It couldn't get its parentheses balanced. After 10 attempts or so it tried to write a smaller test file first, but again failed. Regardless of the parentheses, the test code it came up with was quite basic and arbitrary. It didn't try to come up with interesting edge cases or anything.

To me, it was never about the hardware. It was not even about LISP. It is about "clean design" and what a great computing environment was capable of, and still would be, had its potential not been shredded by the advent of cheap addicting hardware combined with an "operating system" so "simple and elegant" that even today, a program simply segfaults leaving you with nothing (instead of showing at least an inspectable stacktrace). So "simple and elegant" that the only two data formats end users are dealing with are "copy & paste text", "files", and "screenshots". An operating system so "pure" that every program lives in its own uninteroperable walled garden, that understands nothing about the environment and data loaded around it. We lost a whole computing world and it might still take ages getting that back.

A transducer transforms a reducing function. Its signature is rfn->rfn. The resulting rfn can then be used to reduce/fold from any collection/stream type into any other collection/stream type.

I don't see what your functions have to do with that.

Sorry, these claims are just not true. AI generations in these categories are impressive on release, but blatantly generic, recognizable, predictable and boring after I have seen about 100 or so. Also, if you want to put them to use to replace "real work" outside of the ordinary/pretrained, you hit limitations quickly.

The scaling laws of the Internet were clear from the start.