Before I start reading, if this has anything to do with differential privacy, I’m going to be disappointed.
Self Proclaimed Internet user and Administrator of Reddthat
Before I start reading, if this has anything to do with differential privacy, I’m going to be disappointed.
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Oh that’s super nice!
That’s why I asked if they were hiring. Sounds like a nice place to work. I work at a job that doesn’t allow me to have non-work time during my allotted on-work time. ie 9-5.
Obviously I agree that this is definitely on the riskier side of the line, whether it crosses into NSFW territory is unfortunately dependant on everyone’s own definition.
See the other comment(s) from Red that go into detail regarding what is going to be done regarding the future of the community and the riskiness.
Removing the post at this time would not be for the benefit of the community when we can have active discussions on what we want the community to become.
Unfortunately I have a feeling that some of the commenters here are from All and are not active subscribers. So they may not be used to seeing content like this. They also may not understand the difference between instances and the nuances with federation.
Edit: This is the comment from Red regarding what we are going to do: https://reddthat.com/comment/2250572
But you are doing it while you are “at work”? So you are using company time to look at fediverse content.
What job do you have that your company pays you to look at Reddthat/Fediverse? Are you hiring?
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What a hero!
I guess it all depends on what you find interesting. I have the brief extension installed on my browser and whenever I find blogs or people I enjoy if they have an atom/rss feed I subscribe. Over the years you find lots of content.
Some of the random sites I follow:
Today’s Fun Fact.
This post was reported by someone over at Lemmy.world as well.
Reason: inappropriate
I find it appropriate for Anime & Pics
Oh I was wrong, after further reading this looks to be a lot better than what I was thinking.
I must have been thinking about another methodology of attempted privacy over a dataset.