Cannot update Conda on M1

Product Help
1 
(base) adam@hapkido ~ $ conda update conda
zsh: correct 'conda' to '.conda' [nyae]? n
Collecting package metadata (current_repodata.json): done
Solving environment: \ 
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:

  - conda-forge/noarch::requests==2.27.1=pyhd8ed1ab_0
  - conda-forge/noarch::six==1.16.0=pyh6c4a22f_0
  - conda-forge/noarch::charset-normalizer==2.0.12=pyhd8ed1ab_0
  - conda-forge/osx-arm64::python_abi==3.10=2_cp310
  - conda-forge/noarch::wheel==0.37.1=pyhd8ed1ab_0
  - conda-forge/osx-arm64::sqlite==3.37.0=h72a2b83_0
  - conda-forge/osx-arm64::cryptography==36.0.1=py310heb878e4_0
  - conda-forge/noarch::urllib3==1.26.8=pyhd8ed1ab_1
  - conda-forge/osx-arm64::brotlipy==0.7.0=py310he2143c4_1003
  - conda-forge/osx-arm64::python==3.10.2=hd16f9c5_4_cpython
  - conda-forge/noarch::colorama==0.4.4=pyh9f0ad1d_0
  - conda-forge/osx-arm64::pysocks==1.7.1=py310hbe9552e_4
  - conda-forge/osx-arm64::pycosat==0.6.3=py310he2143c4_1009
  - conda-forge/osx-arm64::conda==4.11.0=py310hbe9552e_2
  - conda-forge/noarch::pyopenssl==22.0.0=pyhd8ed1ab_0
  - conda-forge/noarch::idna==3.3=pyhd8ed1ab_0
  - conda-forge/noarch::tqdm==4.63.0=pyhd8ed1ab_0
  - conda-forge/osx-arm64::ruamel_yaml==0.15.80=py310he2143c4_1006
  - conda-forge/osx-arm64::setuptools==60.9.3=py310hbe9552e_0
  - conda-forge/osx-arm64::certifi==2021.10.8=py310hbe9552e_1
  - conda-forge/noarch::pip==22.0.4=pyhd8ed1ab_0
  - conda-forge/osx-arm64::cffi==1.15.0=py310hf10583b_0
  - conda-forge/osx-arm64::conda-package-handling==1.7.3=py310he2143c4_1
  - conda-forge/noarch::pycparser==2.21=pyhd8ed1ab_0
done


==> WARNING: A newer version of conda exists. <==
  current version: 4.11.0
  latest version: 4.12.0

Please update conda by running

    $ conda update -n base conda



# All requested packages already installed.
2

I don’t know about M1 but I have seen this error on other platforms when you end up with a large set of packages. I was able to fix it in the past by specifying just to install the version number (and hence not try to update all the dependencies). E.g.:

conda install conda=4.12.0
3

Thanks, that worked!