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.
I have been using for the past month. I am not a power user, I mostly use it when I need to access libgen. Previously, I was using nordvpn. I feel proton is faster both when connecting to a server but also the connection is faster/more reliable. For example, if I forget to turn it off, I can watch a yt video without any issues.
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.
Hi, I am a building a platform with the goal of supporting apps like this, and I would be interested to develop a plugin for your use-case as an experiment (no fee).
I am working alone on this and this is not my first priority, so I cannot make any guarantees about the timeline, or the scope of the plugin. But, if you are interested we can have a chat on matrix.
The project is not open source yet, but I am planning on doing so once (a) I figure out how to properly apply licensing, and (b) remove any potentially critical information (credentials) from the repository.