Peter Willliam Lount Profile picture
Jul 31 10 tweets 28 min read
@boblautenbach @Alan_L_Lovejoy @Ryu_Zoku Yes Chris Lattner is very interesting, been following his #LLVM and #SWIFT work.

1/
@boblautenbach @Alan_L_Lovejoy @Ryu_Zoku Actually #ZokuTalk adopts the portion of SWIFT #EBNF for #Unicode as they seems have done good job on that, as well as parts of the EBNF for numerics such as "1_234.00" to expand privative data types entry.

\2
@boblautenbach @Alan_L_Lovejoy @Ryu_Zoku Borrowing C & Assembly data types: 0b0011, 0xFF, keeping 16r0A, plus many others.

Actually the numeric formats are one of more complicated part of the #EBNF of #ZokuTalk and the only non-#MOBS (#Messages #Objects #Block #Syntax) part of the evolved syntax.

\3
@boblautenbach @Alan_L_Lovejoy @Ryu_Zoku The main #ZokuTalk #EBNF is recursive with the more complicated evolved parts of #ZokuTalk #MOBS #Messages #Objects #Block #Syntax being crucial to the purified #Homoiconic design.

Legacy #Smalltalk syntax is eliminated except for a import & translation compatibility tool.

\4
@boblautenbach @Alan_L_Lovejoy @Ryu_Zoku The #CogVM is good for existing @#Smalltalk #Varients #Pharo #Squeak # #NewSpeak etc...

#ZokuTalk being #FirstClassMOBS all the way down requires a different approach to the #ZokuTalk #ExecutionEngine.

\4
@boblautenbach @Alan_L_Lovejoy @Ryu_Zoku The evolution of #Lisp into #ZokuTalk #MOBS syntax powerful #Macros were added. Been wanting to add #CompileTimeExecution macros at least since working on #JPMorgan's #DasKapital in the 90's; these macros fit very well it the #ZokuTalk #EBNF taking to it the next paradigm.

/6
@boblautenbach @Alan_L_Lovejoy @Ryu_Zoku Although inherently different the #ZokuTalk #ExecutionEngine will leverage the knowledge bases of many free opensource systems such the ones you mentioned: #LLVM #Swift #Clang #TPU #GPU #ML #AI #ArtificialIntelligence #Lisp #ZokuTalk #Smalltalk #Pharo #Squeak #CogVM.

/7
@boblautenbach @Alan_L_Lovejoy @Ryu_Zoku With regard to #AI #ArtificialIntelligence #ZokuTalk aims to be par-excellence with these application domains bringing the best #Matrix, #Neurocomputing #MOBS Libraries targeting #CPUs, #TPUs, #GPUs, #Tesla #Dojo #D1, & other new chips including #Analog & #Quantum designs.

/8

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