Yep, a few forks were identified within a few hours. I think the maintainers had forks too.

Yes, this would essentially be a detecting mechanism for local instances. However, a network trained on all available federated data could still yield favorable results. You may just end up not needing IP Addresses and emails. Just upvotes / downvotes across a set of existing comments would even help.

The important point is figuring out all possible data you can extract and feed it to a “ML” black box. The black box can deal with things by itself.

My bachelor’s thesis was about comment amplifying/deamplifying on reddit using Graph Neural Networks (PyTorch-Geometric).

Essentially: there used to be commenters who would constantly agree / disagree with a particular sentiment, and these would be used to amplify / deamplify opinions, respectively. Using a set of metrics [1], I fed it into a Graph Neural Network (GNN) and it produced reasonably well results back in the day. Since Pytorch-Geomteric has been out, there’s been numerous advancements to GNN research as a whole, and I suspect it would be significantly more developed now.

Since upvotes are known to the instance administrator (for brevity, not getting into the fediverse aspect of this), and since their email addresses are known too, I believe that these two pieces of information can be accounted for in order to detect patterns. This would lead to much better results.

In the beginning, such a solution needs to look for patterns first and these patterns need to be flagged as true (bots) or false (users) by the instance administrator - maybe 200 manual flaggings. Afterwards, the GNN could possibly decide to act based on confidence of previous pattern matching.

This may be an interesting bachelor’s / master’s thesis (or a side project in general) for anyone looking for one. Of course, there’s a lot of nuances I’ve missed. Plus, I haven’t kept up with GNNs in a very long time, so that should be accounted for too.

Edit: perhaps IP addresses could be used too? That’s one way reddit would detect vote manipulation.

[1] account age, comment time, comment time difference with parent comment, sentiment agreement/disgareement with parent commenters, number of child comments after an hour, post karma, comment karma, number of comments, number of subreddits participated in, number of posts, and more I can’t remember.

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https://github.com/ungoogled-software/ungoogled-chromium

https://ungoogled-software.github.io/ungoogled-chromium-binaries/

Isn’t Angstrom 10^-10 meters? And nanometers 10^-9 meters? So 20A (assuming A = Angstrom) is just 2nm?

Are they trying to say that by moving to this new era, they’ll go single digit Angstrom i.e., 0.x nm?

… I am 100% certain that if they switched to being individually wrapped tomorrow, a complaint about excessive packaging would be one of the top posts here.

You’re undeniably right. The best situation would be to not have any wrapping at all… but with the crumb situation, that’d be another top post here :/

That’s not a very valid argument.

First and foremost, most devs probably see it as a job and they do what they’re told. They don’t have the power to refute decisions coming from above.

Second, in this economy where jobs are scarer than a needle in multiple haystacks, people are desperate to get a job.

Third, yes, there may be some Microsoft (M$) fan-people who end up being devs at M$. Sure, they may willingly implement the things upper management may request. However, I’m not sure whether that’s true for most of the people who work at M$.

Your comment suggests to shift the blame to the devs who implement the features that upper management request for. Don’t shoot the (MSN) messenger.

For anyone else who doesn’t want to spend 10 seconds trying to imagine it.