I have setup a rustdesk server with docker, it was surprisingly easy to get started. It was for a friend who is managing the IT services of a small factory, the completely switched from TeamViewer and they are satisfied. More importantly their users, who are worse than your average windows user, found the transition relatively painless.

While the consumption for AI train can be large, there are arguments to be made for its net effect in the long run.

The article’s last section gives a few examples that are interesting to me from an environmental perspective. Using smaller problem-specific models can have a large effect in reducing AI emissions, since their relation to model size is not linear. AI assistance can indeed increase worker productivity, which does not necessarily decrease emissions but we have to keep in mind that our bodies are pretty inefficient meat bags. Last but not least, AI literacy can lead to better legislation and regulation.

Gitea and forejo are doing some amazing work

It depends on the field you are studying. I was into CS, using Linux was recommended because the machines they used to test our code were also running linux.

Most fields are going to be okay with linux, the only exception being fields that rely on specialized software like architects, engineers, and audio/video editing. Also, some software like MatLab are possible to run on Linux but it’s a pain to set them up.

They made meow meow beans?