Is it really “Complex”? Or did we make it “Complicated”? (2014) [video]
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Re: Is it really “Complex”? Or did we make it “Complicated”? (2014) [video]
#2I wonder what a Smalltalk-like environment would look like if had been developed in the 2000s instead of the 1970s.
If you could marry up the advantages of text/files, live code, visual layouts, data visualization and perhaps machine learning in the future, maybe you could come up with a huge jump in productivity and being able to handle complexity.
Re: Is it really “Complex”? Or did we make it “Complicated”? (2014) [video]
#3This is a good line!
Re: Is it really “Complex”? Or did we make it “Complicated”? (2014) [video]
#4Maybe better: https://vimeo.com/82301919
A link to a transcript would be cool.
Edit: There's a transcript of the iPad question here: https://news.ycombinator.com/item?id=8857113
Re: Is it really “Complex”? Or did we make it “Complicated”? (2014) [video]
#5I wonder what a Smalltalk-like environment would look like if had been developed in the 2000s instead of the 1970s. If you could marry up the advantages of text/files, live code, visual layouts, data visualization and perhaps machine learning in the future, maybe you could come up with a huge jump in productivity and being able to handle complexity.
As far as I know, Bret Victor is looking exactly into that, check out his talk "The Future of Programming": https://www.youtube.com/watch?v=IGMiCo2Ntsc
Re: Is it really “Complex”? Or did we make it “Complicated”? (2014) [video]
#6Alan Kay has had about a few decades to empirically demonstrate that "we" have willfully made it complicated. I don't believe he has done so.
Re: Is it really “Complex”? Or did we make it “Complicated”? (2014) [video]
#7Is it theoretically impossible to fit an interpreter for a dynamic programming language in the L1 cache of a modern chip?
(I understand there are physical constraints that prohibit super low-latency memory lookups (of unconstrained size) in 0+epsilon time (where epsilon is small))
Re: Is it really “Complex”? Or did we make it “Complicated”? (2014) [video]
#8Is it theoretically impossible to fit an interpreter for a dynamic programming language in the L1 cache of a modern chip? (I understand there are physical constraints that prohibit super low-latency memory lookups (of unconstrained size) in 0+epsilon time (where epsilon is small))
Symbolics managed to fit their Lisp VM into the cache of DEC Alpha processors in the early nineties: http://pt.withy.org/publications/VLM.html
Re: Is it really “Complex”? Or did we make it “Complicated”? (2014) [video]
#9Alan Kay has had about a few decades to empirically demonstrate that "we" have willfully made it complicated. I don't believe he has done so.
I had the same thought, if he had a solution then he should have it by now.
Re: Is it really “Complex”? Or did we make it “Complicated”? (2014) [video]
#10I wonder what a Smalltalk-like environment would look like if had been developed in the 2000s instead of the 1970s. If you could marry up the advantages of text/files, live code, visual layouts, data visualization and perhaps machine learning in the future, maybe you could come up with a huge jump in productivity and being able to handle complexity.
Mathematica gets live code, data visualization, and ML, all with a lispy+tacit+functional syntax. I find it much more integrated and easy to use compared to Jupyter notebook, although it's near useless for anything imperative -- I find myself using Jupyter a lot these days to develop one-off scripts interactively.
(please, no one mention stephen)