3,354 karma · joined September 6, 2014
I wonder what the challenge would be of making these videos more interactive would be? Also I do wonder if there is any research happening in making AI explainers more trustable.
I agree that human society is too focused on productivity but disagree that it's tied to ignorance of the Bible. The fall of man illustrated in Genesis is tied to feeding on the fruit of the tree of the knowledge of good and evil. Having the right set of religious concepts wont put you in harmony with God and thus won't make you more loving to your fellow man.
If math is truly about spreading intuition and understanding then our institutions have dropped the ball decades ago and have not been able to grab hold of it since (if they ever had it to begin with)
One thing I would like to see on the home page is a video showing it being used. Also would like to see how it looks in a light theme. The repository says it's keyboard driven does that mean it's modal or can I still use it like a normal modeless editor?
I've watched some YouTube videos narrated by AI that were created by those who's native language I assume to be Chinese but the value of the content is higher and more concentrated than those from the native speakers.
While I've watched many for whom English is not their first language struggle in technical talks and lose most of the meat if their discussion to their struggle with the language conversion.
While the example of language barriers being skipped over and providing value in that circumstance is obvious I suspect more is possible by avoiding unnecessarily focus on prose or technical aspects of communication and focusing on the ideas themselves.
Imagine if the cost of not assuming a background in technical/textbook writing were zero. Freeing up authors to explain more thoroughly. Perhaps, more effort can be spent on thinking up analogies, metaphor or examples to help communicate an idea.
It's built on top of MLIR so you can make compiler optimizations in a library instead of the compiler. I believe Reactant.jl has been using MLIR for optimizing higher level abstractions in Julia. Imagine a Lisp with that capability.
For sometime now I've been looking into a good CAS for my app. I've tried a few algebra problems with Sympy, Sage, Xcas, Maxima and Woxi. Of these only Sage, Maxima and Woxi were capable of giving the expected answers.
After trying it out I became fascinated by Wolfram language and other term rewriting languages they are pretty interesting even though most have little to do with CAS like WL.
Anyway I've been looking at this project and plan to seriously use it in the future. So, I've noticed a few things when attempting to run wljs (I had to wrap it with a shell script to get wljs to see it as wolframscript executable). First the version number system variable gives a string instead of the expected real number type (As a temporary hack I modified Woxi to give what wljs expects). There also is a variable that tells to the absolute path of the of the current file and it is wrong when it's used in an imported script. After working around that with hard coded paths things became more difficult.
Edit: just checked my pc and the variables are called $VersionNumber and $InputFileName which is incorrect if the file is evaluated via Get["filepath"].
Anyways, I'm interested in helping out don't know if I can.
Of course them being ISO(like) standards with competing implementations/tools was also important for C, C++ and Java as the cost to use and learn them was higher in the days before free open source languages, free tutorials and help forums became so wide spread.
But yeah official platform support and big company backing are a big part of why these languages have stuck around compared to others.
Is what I see. Which makes sense I guess. Maybe just tell me how you got to the page?
I'm on board with reducing the need to port to and from different frameworks. I also agree that we should try to avoid depending on npm for everything.