After this post, here is how you can ACTUALLY do all of that with Emacs.
All of these Emacs extensions are basically text-based and more or less difficult to use. You WILL have the core functions of the Google stuff, but don’t expect to have a good time.
Degoogling:
- Gmail -> mu4e ( https://www.emacswiki.org/emacs/mu4e )
- Photos -> image-dired (built-in) ( https://lucidmanager.org/productivity/using-emacs-image-dired/ )
- Search -> any search engine in eww, maybe ddg-html ( https://html.duckduckgo.com/html/ )
- Chrome -> eww (built-in) ( https://www.gnu.org/software/emacs/manual/html_mono/eww.html )
- Keep -> org (built-in), org-roam ( https://www.orgroam.com/ )
- Drive -> emacs-syncthing ( https://github.com/KeyWeeUsr/emacs-syncthing )
- Passwords -> pass (built-in)
- Auth -> totp.el, looks highly experimental ( https://www.masteringemacs.org/article/securely-generating-totp-tokens-emacs )
- Calendar -> org-agenda (built-in)
- Play Store -> MELPA (used in your config)
- no VPN -> mullvad.el, looks highly experimental ( https://github.com/benthamite/mullvad/blob/main/mullvad.el )
- ChatGPT -> ellama ( https://www.rahuljuliato.com/posts/ellama ); @[email protected]: gptel is better ( https://github.com/karthink/gptel )
- Maps -> osm.el ( https://github.com/minad/osm )
For all my Emacs users out there, am I missing something ? Do you have alternatives / more usable recommandations ?-
Gptel is better than ellama. Ollama only runs small junk. Llama.cpp is way better because it will split CPU and GPU and run bigger quantized models, especially large MoEs on a 16 GB GPU.
I started trying to mess with image-dired today for a few minutes to try and get my training images and caption files to sync and scroll, but didn’t get very far before just tiling… such a noob
Sweet, I’m editing the OP. Thanks for the input!