Address review feedback and other improvements

post/2024-10-02-metal-1.4.md

@@ -38,20 +38,18 @@ standard `Random.rand[n][!]` functions.
 ## Future work
 
 Although Metal.jl is now in v1, there is still work to be done to make it as fast and
-feature-complete. In particular:
+feature-complete as possible. In particular:
 
 - since the last blog post, Metal.jl has started using native ObjectiveC FFI for wrapping
   Metal APIs. However, these wrappers have to be written manually for every piece of
-  Objective-C code. We are looking for help improving Clang.jl and ObjectiveC.jl to enable
-  the automatic generation of these wrappers. See tracking [issue](https://github.com/JuliaInterop/ObjectiveC.jl/issues/41);
+  Objective-C code. *We are looking for help with improving Clang.jl and ObjectiveC.jl* to [enable
+  the automatic generation of these wrappers](https://github.com/JuliaInterop/ObjectiveC.jl/issues/41);
 - the MPS wrappers are incomplete, automatic wrapper generation would greatly help with
   full MPS support;
-- support for atomic operations is missing, which is required to implement a full-featured
-  KernelAbstractions.jl back-end. See tracking [issue](https://github.com/JuliaGPU/Metal.jl/issues/218);
-- full support for BFloat16 values, which has been supported since Metal 3.1 (macOS 14),
-  is not yet in Metal.jl. See tracking [issue](https://github.com/JuliaGPU/Metal.jl/issues/298);
-- some functionality present in CUDA.jl could be ported to Metal.jl to improve usability.
-  See tracking [issue](https://github.com/JuliaGPU/Metal.jl/issues/443);
-- general performance improvements. In particular, improvements to the ObjectiveC.jl type model
-  could greatly reduce the number of allocations currently necessary for every
-  Objective-C/Metal operation. See tracking [issue](https://github.com/JuliaInterop/ObjectiveC.jl/issues/13).
+- to implement a full-featured KernelAbstractions.jl back-end, Metal atomic operations need to [be
+  hooked up to Atomix](https://github.com/JuliaGPU/Metal.jl/issues/218);
+- [full support for BFloat16 values](https://github.com/JuliaGPU/Metal.jl/issues/298),
+  which has been supported since Metal 3.1 (macOS 14), is not yet in Metal.jl. There is,
+  however, a [draft PR](https://github.com/JuliaGPU/Metal.jl/pull/446) in the works. Check it out
+  if you're interested in helping out;
+- some functionality present in CUDA.jl [could be ported to Metal.jl to improve usability](https://github.com/JuliaGPU/Metal.jl/issues/443).