updates per Oct 28 comments

_posts/2017-01-06-conduit-0.2.1.md

@@ -5,10 +5,10 @@ tags: new-release
 
 Conduit provides APIs focused on simplifying data exchange in HPC simulations. It provides an intuitive model for describing hierarchical scientific data in C++, C, Fortran, and Python and is used for data coupling between packages in-core, serialization, and I/O tasks.
 
-The [0.2.1 version](https://llnl-conduit.readthedocs.io/en/latest/) is primarily a bug fix releases, which includes:
+The [0.2.1 version](https://llnl-conduit.readthedocs.io/en/v0.2.1/) is primarily a bug fix releases, which includes:
 
 - Fixes to support static builds, including on BGQ using xlc and gcc
 - Bug fixes for Blueprint verify routines.
 - The elimination of separate Fortran libs by moving Fortran symbols into their associated main libs
 
-For more details, see Conduit's [Release Notes](https://github.com/LLNL/conduit/releases).
+For more details, see Conduit's [Release Notes](https://github.com/LLNL/conduit/releases/tag/v0.2.1).

_posts/2017-01-28-mfem-3.3.md

@@ -5,7 +5,7 @@ tags: new-release
 
 Version 3.3 of MFEM, a lightweight, general, scalable C++ library for finite element methods, is now available at: [http://mfem.org](http://mfem.org)
 
-The goal of MFEM is to enable high-performance scalable finite element discretization research and application development on a wide variety of platforms, ranging from laptops to exascale supercomputers.
+The goal of MFEM is to enable high-performance scalable finite element discretization research and application development on a wide variety of platforms, ranging from laptops to [exascale supercomputers](https://exascaleproject.org/).
 
 It has many features, including:
 

_posts/2017-11-10-mfem-3.3.2.md

@@ -5,7 +5,7 @@ tags: new-release
 
 Version 3.3.2 of MFEM, a lightweight, general, scalable C++ library for finite element methods, is now available at: [http://mfem.org](http://mfem.org)
 
-The goal of MFEM is to enable high-performance scalable finite element discretization research and application development on a wide variety of platforms, ranging from laptops to [exascale supercomputers](http://ceed.exascaleproject.org/).
+The goal of MFEM is to enable high-performance scalable finite element discretization research and application development on a wide variety of platforms, ranging from laptops to [exascale supercomputers](http://exascaleproject.org/).
 
 MFEM has many features, including:
 

_posts/2018-05-29-mfem-3.4.md

@@ -5,7 +5,7 @@ tags: new-release
 
 Version 3.4 of MFEM, a lightweight, general, scalable C++ library for finite element methods, is now available at: [http://mfem.org](http://mfem.org)
 
-The goal of MFEM is to enable high-performance scalable finite element discretization research and application development on a wide variety of platforms, ranging from laptops to [exascale supercomputers](http://ceed.exascaleproject.org/).
+The goal of MFEM is to enable high-performance scalable finite element discretization research and application development on a wide variety of platforms, ranging from laptops to [exascale supercomputers](http://exascaleproject.org/).
 
 It has many features, including:
 

_posts/2019-05-24-mfem-4.0.md

@@ -5,7 +5,7 @@ tags: new-release
 
 Version 4.0 of MFEM, a lightweight, general, scalable C++ library for finite element methods, is now available at: [http://mfem.org](http://mfem.org)
 
-The goal of MFEM is to enable high-performance scalable finite element discretization research and application development on a wide variety of platforms, ranging from laptops to [exascale supercomputers](http://ceed.exascaleproject.org/).
+The goal of MFEM is to enable high-performance scalable finite element discretization research and application development on a wide variety of platforms, ranging from laptops to [exascale supercomputers](http://exascaleproject.org/).
 
 For the first time ever, MFEM-4.0 adds support for GPU acceleration in the library:
 

_posts/2019-06-14-blt-0.2.5.md

@@ -10,5 +10,5 @@ LLNL initially released BLT in 2017, and now v0.2.0 and v0.2.5 are available.
 Learn more:
 - [Release notes](https://github.com/LLNL/blt/releases)
 - [GitHub repo](https://github.com/LLNL/blt)
-- [Documentation](https://llnl-blt.readthedocs.io/en/develop/)
+- [Documentation](https://llnl-blt.readthedocs.io/en/master/)
 - [BLT: Build, Link, and Test](https://computing.llnl.gov/projects/blt-build-link-test)

about/using-github.md

@@ -99,7 +99,7 @@ When in doubt, contact a Derivative Classifier (DC) and/or IM for further guidan
 Now that your project is on GitHub, make sure users and contributors can find it! There are several ways to do this. Contact [open-source@llnl.gov](mailto:open-source@llnl.gov) for help with the following tasks:
 
 * Include meaningful metadata (description and topic tags) in your repository. Example: [Spack](https://github.com/spack/spack) lists several topic tags below a one-sentence description.
-    * Start with our [list](https://github.com/LLNL/llnl.github.io/tree/master/category) of recommended, standardized topics.
+    * Start with our [list](https://github.com/LLNL/llnl.github.io/blob/master/category/README.md) of recommended, standardized topics.
     * See helpful hints on [GitHub's topic help page](https://help.github.com/articles/about-topics/). Add tags relevant to your project's programming language, platforms, and more (e.g., Python, HPC, Linux).
     * If your repo is part of the [RADIUSS project](https://software.llnl.gov/radiuss/), be sure to add the `radiuss` topic along with the appropriate [category tags](https://github.com/LLNL/llnl.github.io/blob/master/radiuss/README.md).
 * Let [Twitter](https://twitter.com/LLNL_OpenSource) followers know your project is available on GitHub.