Update list of Apple Silicon processors

README.md

@@ -92,7 +92,7 @@ below](#sagemath-docker-images)) or other virtualization solutions.
 [macOS] Preparing the Platform
 ------------------------------
 
-- If your Mac uses the Apple Silicon (M1, M2, M3; arm64) architecture and
+- If your Mac uses the Apple Silicon (M1, M2, M3, M4; arm64) architecture and
   you set up your Mac by transferring files from an older Mac, make sure
   that the directory ``/usr/local`` does not contain an old copy of Homebrew
   (or other software) for the x86_64 architecture that you may have copied

build/pkgs/gcc/SPKG.rst

@@ -61,9 +61,9 @@ you need a recent version of Xcode.
 (Installing the
 ``gfortran`` SPKG becomes a no-op in this case.)
 
-Building Sage from source on Apple Silicon (M1/M2) requires the use of
-Apple's Command Line Tools, and those tools include a suitable
-compiler. Sage's ``gcc`` SPKG is not suitable for M1/M2; building it
+Building Sage from source on Apple Silicon (M1, M2, M3, M4; arm64) requires
+the use of Apple's Command Line Tools, and those tools include a suitable
+compiler. Sage's ``gcc`` SPKG is not suitable for Apple Silicon; building it
 will likely fail.
 
 License

src/doc/en/installation/conda.rst

@@ -7,7 +7,7 @@ SageMath can be installed on Linux and macOS via Conda from the
 `conda-forge <https://conda-forge.org>`_ conda channel.
 
 Both the ``x86_64`` (Intel) architecture and the ``arm64``/``aarch64``
-architectures (including Apple Silicon, M1) are supported.
+architectures (including Apple Silicon, M1, M2, M3, M4) are supported.
 
 You will need a working Conda installation: either Miniforge (or Mambaforge),
 Miniconda or Anaconda. If you don't have one yet, we recommend installing