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The example in [module.unit] p4 ends with a bullet list whose last item starts as follows:

— an module implementation unit providing a definition of bar and baz, [...]

It seems to me that the initial "an module" should be "a module"

The link to the PDF version of the draft standard (http://cplusplus.github.io/modules-ts/draft.pdf) is invalid and returns a 404 error.

The example provided in [module.global] p2 contains three function template definitions with return type int, but none of them returns a value:

// N::f is reachable via argument-dependent name lookup result
// in context of template definition
template<typename T> int use_f() { N::X x; f(x); }
// N::g is not reachable because g is a dependent name
// in context of template definition
template<typename T> int use_g() { N::X x; g((T(), x)); }
// N::h is reachable because use_h<int> has a point of
// instantiation in the module unit M
template<typename T> int use_h() { N::X x; h((T(), x)); }

The obvious fix is to add a return before the corresponding function calls of f, g, and h.

Is there any plans to support automatic differentiation natively in C++ ala what Swift is doing ? I think it would really accelerate machine learning development in rust and welcome orgs to build their deep learning frameworks in C++. As there is alrteady CUDA support for C++, it would be a really awesome feature. I would love to know what the dev team are thinking about this.