5 ms·
I enjoyed the talk and agree with it in many ways, but perhaps a contrarian stance will stimulate some interesting discussion. Here's the steelman I can think o
by dwohnitmok 5y ago
I enjoyed the talk and agree with it in many ways, but perhaps a contrarian stance will stimulate some interesting discussion. Here's the steelman I can think of against that talk.
Hickey's fundamental contention is that whether something is easy is an extrinsic property whereas whether something is simple is an intrinsic property. Whether something is easy is dictated often by whether it is familiar, whereas simplicity lends us the more ultimately useful property of being understandable.
To which I'll counter with Von Neumann's famous quote about mathematics : "You don't understand things [simple]. You just get used to them [easy]."
There is no fundamental difference between ease and simplicity. Simplicity (of finite systems) is ultimately a function of familiarity. There's a formal version of this argument (which is effectively that most properties of Kolgomorov complexity when applied to finite strings are defined by your choice of complexity function, even in the presence of an asymptotically optimal universal language. In particular there is not a unique asymptotically optimal universal language, that is the Invariance Theorem is overhyped), but the informal version is that both simplicity and easiness arise from familiarity.
Indeed the fact that there is "ramp-up" speed for simplicity suggests that in fact what is going on is familiarity. E.g. splitting state into "value" and "time" is one way of thinking about it. But I could easily claim that in fact "time" complects "cause" and "state." Rather state machines where the essential primitives are "cause" and "effect" are the proper foundations from which "value" and "time" then flow (you can think of "effect" nondeterministically, a la infinite universes, and then "value" and "time" fall out as a way of identifying a single path among a set of infinite universes). Likewise Hickey claims that syntax mixes together "meaning" and "order" whereas I would could just as easily say that "order" complects syntax and semantics!
What of the idea of "being bogged down?" That "simple" systems allow you to continue composing and building whereas merely "easy" systems collapse and are impossible to make progress on past a certain threshold? I claim that these are not intrinsic properties of a system. They are rather extrinsic properties that demonstrate that the system no longer aligns well with the mental organization of a human programmer. However this is dependent on the human! A different human might have no problem scaling it.
Now hold on, perhaps, while simplicity is perhaps dependent on the human mind and humans all more or less have the same mental faculties. Perhaps we can't find a truly intrinsic property that we call simplicity, but perhaps there's one that's "intrinsic enough" and relies only on the mental faculties common to all humans. That is, returning to the idea of "being bogged down," there are systems whose complexity puts them beyond the reach of all, or at least most, humans. We can then use that as our differentiator between "simple" and "easy."
To which I would reply that this is probably true in broad strokes. There are probably systems which are are so arcane as to be un-understandable by any human even after a lifetime of study. But at a more specific level, the way humans think is very varied. The ways we learn, the ways we develop are hugely different from person to person. Hence I find this criteria of "bogging down" far too weak to support Hickey's more concrete theses, e.g. that queues are simpler than loops or folds.
When you're talking about things like love, hate, and fear, sure maybe those are universal enough among humans to be called "objective" or to have associated "intrinsic properties," but when you're talking about whether a programming language should have a built-in switch statement, I don't buy it.
For the purposes of programming languages, simple is not made easy. Simple is easy. Easy is simple. The search for the Platonic ideal of software, one that relies on a notion of intrinsic simplicity, is a false god. Code is an artifact made for consumption by humans and execution by machines and therefore any measure of its quality must be extrinsic to the humans that consume it.
Sometimes X is simple. Sometimes it's not. It all depends on the person.
As empirical evidence of this I leave this final exchange between Alan Kay and Rich Hickey where the two keep talking past each other, no matter how simple their own system is: https://news.ycombinator.com/item?id=11945722 https://news.ycombinator.com/item?id=11945722
- taurath 5y agoI appreciate the thought process here, and I'd want to spend more time thinking it over before a full response - though I think it maybe goes a little bit too into etymology for my taste! My immediate comment is that working memory is a measurable finite resource that developers have to use. The more entities they have to track in order to model the part of the system they're working on, the more usage of working memory. Every bit of state creates potentially exponentially more possible entity states. So therefore limiting potential changes in state limits the amount of working memory necessary to understand the system. Its starting with "can't" and then building a "can" when necessary, which is a lot better on memory, comprehension and feeling safe/secure to make changes then starting with a collection of 10^n "can"'s and adding in "can't"'s.
- dwohnitmok 5y agoFirst off I don't think this is quite the way Hickey thinks about the issue (though I suspect he would agree about the working memory part), especially with the comment about etymology /s!(it's a meme in Clojureland that every Hickey presentation and library must contain at least one slide on/mention of etymology) In particular Clojure as a whole embraces an ideology of "open systems" vs "closed systems" where we start with an infinite sea of "can"s and then add "can't"s as needed. But that's immaterial to your main point, which is that adding state into the mix of things makes things hard. Which I agree with, but again to steelman the point, I could turn around and say that values allow for exponentially more possible values as well! When I see a map passed into a Clojure function I have no idea what could be in that map! I think the main objection here which you are alluding to is one of "global" vs "local" reasoning. With a value I just need to worry about the body of my function, whereas with (global) state I need to worry about every function everywhere! But what if that's just a problem with our tools rather than an intrinsic issue? What if I had a tool that could automatically present all the mutable state of your system that is publicly accessible as a single screen and automatically link to different procedures that link to different parts of it? At that point I don't see much of a difference between state strewn everywhere and nice orderly values plumbed everywhere. In fact maybe it's nicer to have that implicit state strewn everywhere instead of having to carry around values which are irrelevant for the bulk of a function body and only relevant for a single part of a subfunction. What if it's all just a matter of not having the right IDE? Working memory is definitely a hard limitation and universal enough among humans, but it's not clear to me it's a specific enough concern to convincingly justify certain programming language features which may just be crutches for inadequate visualizations or different educational backgrounds.