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Groups > comp.lang.prolog > #14945
| From | Mild Shock <janburse@fastmail.fm> |
|---|---|
| Newsgroups | comp.lang.prolog |
| Subject | Superintelligence or community? [The Almend Paradox] (Re: The C# Span and new code instructions) |
| Date | 2025-10-27 15:16 +0100 |
| Message-ID | <10dnurh$1ml2o$1@solani.org> (permalink) |
| References | <107cdlv$3ok9q$1@solani.org> <10dnsoe$1mjhc$1@solani.org> <10dntnj$1mk99$1@solani.org> |
Hi, I see the following benefit of superintelligence as a pair programming model over some internet community. This is based of my experience over the last weeks: - Benefit of Superintelligence: The superintelligence might not be the design lead that carries the main idea and makes the important decisions. Still ChatGPT, DeepSeek, etc.. are exceptionally useful as RTFM slaves. - Drawback I of Community: Human communities are execeptionally bad at RTFM, as the case of Julio the Nazi Retard shows. He was even not able to organize a copy of the ISO core standard document. - Dawback II of Community: Human communities tend to become vanity churches, where everybody can leave a mark, even when its a little pile of poo. An excellent example is golangs short function literals. Miles and miles since 2022, but no implementation yet: proposal: spec: short function literals #21498 https://github.com/golang/go/issues/21498#issuecomment-1132271548 Drawback II is used by many big companies, such as Google, Apple, etc.. The goal of this use of social media is to act as magnet, and to tweek SEO, search engine optimization. Thats the same goal behind SWI-Prolog discourse, just produce miles and miles of tapestry of poo pile, doesn't matter. The most important thing is to attract more and more cows (and flies), to fill the common land (Almend in German): Das Wort Allmende stammt aus dem altnordischen Wort „almenningr“, was so viel wie „was jedem gehört“ bedeutet https://de.wikipedia.org/wiki/Allmende Bye Mild Shock schrieb: > Hi, > > Currently I have a dozen solutions on a back > of a envelope but cannot decide what to implement. > I am also examing my native call/n implementation, > > which is in Java to learn what was used and whether > we can abstract some new code instructions, and > marveling at the C# Span struct: > > - Prolog compound creation: > The call/n implementation differes from > other Prolog compound creations in that > new Object[] is called with a computed arity. > The arity formula for spread replacement is: > > arity(F(...A, ...B)) = arity(A) + arity(B) > > - Prolog compound population > The call/n implementation differs from > other Prolog compound creations in that > System.arraycopy() is called with computed > destination indexes: > > dst(...A) = 0 > dst(...B) = arity(A) > > - Prolog compound matching > The call/n implementation doesn't do much. > It it knows that ...A is from the compound > F(...) and that ...B is from the compound > call(...), so a rest pattern is a pair of compound > and source indexes, the used in System.arraycopy(). > > src(...A) = 0 > src(...B) = 1 > > Interstingly C# has institutionalized a lightweight > struct Span, according All About Span: Exploring a > New .NET Mainstay By Stephen Toub | January 2018. > > So I was thinking of converting a span ...X into > two Prolog variables X1 and X2, where X1 points to > the parent compound and X2 is the offset. > > But if we only allow a single rest pattern, in the spirit > of LPA Prolog, X2 will be a constant that the Prolog > compiler knows from the given rest pattern. > > So its still only one Prolog logical variable! > > Bye > > Mild Shock schrieb: >> Hi, >> >> Now I wish I had a Prolog system at hand that >> could do what one could see in an old version of >> LPA Prolog, and even going beyond. Namely: >> >> print(X | Y) :- write(X), maplist(write, Y). >> >> So basically the list head and tail matching for >> Prolog compounds. It has an additional challenge, >> how does the Prolog predicate catalogue look >> >> like. There is now a variadic predicate. But on >> 2nd though and looking at Java Script, which has >> a prefix operator (...)/1 which can be used for: >> >> - **Rest Patterns:** >> One can define function print(X, ...Y) which >> is pretty much the same as the above. >> >> - **Spread Replacement:** >> But one can also invoke print(Z, ...V, ...W) which >> goes beyond a head tail inside a unify read. >> >> What would be a benefit? For example call/n could >> be the variadic definition, showing a further feature, >> namely Prolog variables at functor positions: >> >> call(F(...A), ...B) :- F(...A, ...B). >> >> Bye >> >> Mild Shock schrieb: >>> Hi, >>> >>> Functional requirement: >>> >>> ?- Y = g(_,_), X = f(Y,C,D,Y), term_singletons(X, L), >>> L == [C,D]. >>> >>> ?- Y = g(A,X,B), X = f(Y,C,D), term_singletons(X, L), >>> L == [A,B,C,D]. >>> >>> Non-Functional requirement: >>> >>> ?- member(N,[5,10,15]), time(singletons(N)), fail; true. >>> % Zeit 1 ms, GC 0 ms, Lips 4046000, Uhr 11.08.2025 01:36 >>> % Zeit 3 ms, GC 0 ms, Lips 1352000, Uhr 11.08.2025 01:36 >>> % Zeit 3 ms, GC 0 ms, Lips 1355333, Uhr 11.08.2025 01:36 >>> true. >>> >>> Can your Prolog system do that? >>> >>> P.S.: Benchmark was: >>> >>> singletons(N) :- >>> hydra2(N,Y), >>> between(1,1000,_), term_singletons(Y,_), fail; true. >>> >>> hydra2(0, _) :- !. >>> hydra2(N, s(X,X)) :- >>> M is N-1, >>> hydra2(M, X). >>> >>> Bye >> >
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