@someodd what do you think of all the prior lazy and formal work in lisp (or like, testing if you must) compared to Haskell's later developments?
I got really into Lisp's Series[1] recently, since I found it just generated a better fizzbuzz than I manually wrote myself in my initial test.
[1]https://dspace.mit.edu/bitstream/handle/1721.1/6035/AIM-1082.pdf?sequence=2&isAllowed=y
@pkw of those, I consider Series to be canonical.
1) It has a chapter in cltl2
2) https://dspace.mit.edu/bitstream/handle/1721.1/6035/AIM-1082.pdf?sequence=2&isAllowed=y
@Jose_A_Alonso viz Haskell being a great imperative language, in the past two weeks it is with some irony I have come to terms with lisp being a great lazy functional language so I guess I like those two things now, after years of berating Haskell
https://dspace.mit.edu/bitstream/handle/1721.1/6035/AIM-1082.pdf?sequence=2&isAllowed=y
@maddiefuzz
I'm getting good results with https://dspace.mit.edu/bitstream/handle/1721.1/6035/AIM-1082.pdf?sequence=2&isAllowed=y
Viz the discussion of #memory and #programming and memories of Richard C. Waters' memory and programming,
I adopted Waters' #MIT #AI Memo on #Series for lispmoo2 (#MOO DSL in lisp).
https://lispy-gopher-show.itch.io/lispmoo2/devlog/835106/richard-waters-series-and-lispmoo2
#itch_io
I used it to solve #fizzbuzz in my first lazy experience ever. It's about 10% better than me using the loop facility. #lispGames #lisp #commonLisp
https://dspace.mit.edu/bitstream/handle/1721.1/6035/AIM-1082.pdf?sequence=2&isAllowed=y
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