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4 Nov 2024
@holobrine:matrix.orgNathan Petrangelo* Dynamic linking is probably only conceptually possible if you don’t use generics. Trait objects could probably be allowed though, because they only carry a pointer and a vtable. That would probably be the primary way of carrying flexible type safety through the ABI boundary.05:36:35
@draft_isa:matrix.orgRibbon

wake up
the day is very good
you study about patents on open-source software
day ruined

05:37:28
@draft_isa:matrix.orgRibbon *
  • wake up
  • the day is very good
  • you study about patents on open-source software
  • day ruined
05:37:40
@holobrine:matrix.orgNathan Petrangelo
In reply to @holobrine:matrix.org
So a dynamically linked library could have functions with trait objects as parameters when they don’t want to constrain the allowed types to just theirs
So in conclusion, if dynamic linking ever came to Rust, you’d pay in small performance cost for large compile time gains
05:43:04
@holobrine:matrix.orgNathan Petrangelo
In reply to @holobrine:matrix.org
So a dynamically linked library could have functions with trait objects as parameters when they don’t want to constrain the allowed types to just theirs
* So in conclusion, if dynamic linking ever came to Rust, you’d probably pay in small performance cost for large compile time gains
05:43:24
@holobrine:matrix.orgNathan PetrangeloIn my way of thinking, that's desirable for dev builds, but I want the performance for production05:50:32
@draft_isa:matrix.orgRibbonMy focus is stability.05:52:17
@draft_isa:matrix.orgRibbonThat's why I fucking love Redox.05:52:27
@draft_isa:matrix.orgRibbon Ron Williams: What is the hardest thing on math for you? 05:56:29
@rw_van:matrix.orgRon Williams
In reply to @draft_isa:matrix.org
Ron Williams: What is the hardest thing on math for you?
Explaining things
06:01:14
@draft_isa:matrix.orgRibbon
In reply to @rw_van:matrix.org
Explaining things
For me is calculation with letters.
06:01:55
@draft_isa:matrix.orgRibbonHidden relations...06:02:03
@draft_isa:matrix.orgRibbon"Determine the value of x, but y is not known" 😶06:03:02
@draft_isa:matrix.orgRibbon * "Determine the value of x, but y is not known"06:03:18
@draft_isa:matrix.orgRibbon😐️06:03:22
@rw_van:matrix.orgRon WilliamsThis was something I found very hard to deal with: https://en.wikipedia.org/wiki/Jacobian_matrix_and_determinant06:04:53
@draft_isa:matrix.orgRibbonimage.png
Download image.png
06:07:20
@draft_isa:matrix.orgRibbonhttps://research.nvidia.com/person/tero-karras06:18:24
@holobrine:matrix.orgNathan Petrangelo
In reply to @rw_van:matrix.org
This was something I found very hard to deal with:
https://en.wikipedia.org/wiki/Jacobian_matrix_and_determinant
Please tell me you've heard of 3Blue1Brown, but just in case you haven't, his math explainers are top tier
https://youtu.be/Ip3X9LOh2dk?si=_uFCXsJ08RvthC1y
06:18:41
@holobrine:matrix.orgNathan PetrangeloI still remember what a determinant is, conceptually, because he explained it so well06:20:07
@rw_van:matrix.orgRon Williams
In reply to @holobrine:matrix.org
I still remember what a determinant is, conceptually, because he explained it so well
It took me a long time to get an understanding of eigenvalues and eigenvectors, when really it's the name that's confusing, not the concept.
06:21:19
@holobrine:matrix.orgNathan PetrangeloThat happens a lot in math lol06:21:45
@holobrine:matrix.orgNathan PetrangeloWhile we're talking about math, I must also share about geometric algebra https://youtube.com/playlist?list=PLVuwZXwFua-0Ks3rRS4tIkswgUmDLqqRy&si=UTZwVPvkVm5su7IG06:23:00
@holobrine:matrix.orgNathan PetrangeloBivectors shed a more intuitive light on determinants06:24:03
@holobrine:matrix.orgNathan Petrangeloand the wedge product is better than the cross product (it actually scales to more dimensions)06:26:59
@holobrine:matrix.orgNathan PetrangeloAs it happens, complex numbers are isomorphic to the even subalgebra in two dimensions (basically i is a bivector), and quaternions are isomorphic to the even subalgebra in 3 dimensions (j and k are also bivectors)06:31:19
@holobrine:matrix.orgNathan Petrangeloso geometric algebra unlocks intuitions about quaternions06:31:59
@draft_isa:matrix.orgRibbonimage.png
Download image.png
06:38:46
@rw_van:matrix.orgRon Williams
In reply to @holobrine:matrix.org
so geometric algebra unlocks intuitions about quaternions
I don't like to think too deeply about math anymore. I basically want to know enough math to understand neural networks at a conceptual level. I wish I had a better handle on Fourier transforms and cosine transforms. But the only real math I do now is budgets.
06:39:07
@draft_isa:matrix.orgRibbon
In reply to @draft_isa:matrix.org
sent an image.
I generated this image with Stable Diffusion on AI Horde, very nice!!
06:39:09

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