A Basil Plant
InfoSec Person | Alt-Account#2
- 3 Posts
- 42 Comments
27·4 months agoYep, a few forks were identified within a few hours. I think the maintainers had forks too.
9·4 months agoDo you want to return to that account?
If not, Temp mail works fine.
Also, Bug me not has user-submitted usernames + passwords to services. This works nicely.
I’ve used Port87 in the past. The user who created it promoted the service on lemmy initially. It worked (I paid for a few months).
4·5 months agoYes, 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.
2·6 months agoThat’s crazy helpful - thanks!
Perfect, thanks a million! I’ll be getting on them soon!
Could you link the page which shows your exact config at that price? I can’t find anything like that. KVM, AMD, Windows VPS - I looked at all three but none suggest the price you’ve written.
That price sounds like a steal, and I’d love to get it if possible. I currently pay $6/month per VPS with Digital Ocean
3·6 months agodeleted by creator
I’m sending this to the guy in the photo :D
(I use Debian on all my machines BTW)
I do use Signal quite a bit. Some important contacts don’t use it and hence, you see my using of WhatsApp.
Yep! Series 4 hasn’t “released” on YouTube yet. I saw Paul William’s story on instagram that they’re releasing Series 5 on TV, but sadly I don’t have access to that. I’m fine being behind by 1-2 years though.
I’m a huge fan of the original British TM, but TM New Zealand is honestly amazing. The whole thing is available on YouTube (thanks Little Alex Horne + team!!!).
In my and many of my friends’ opinion, TM New Zealand Series 2 is one of the best TM series. TM New Zealand in general is absolutely unhinged.
Series 1 feels a bit off, which is probably because it’s unlike British TM. I got used to it fairly quick though.
TM NZ Series 3 (final episode releases on YouTube in 2-3 days)
Thank you for your answer :D! I’ll use the equivalent of your national weather service henceforth.
Just out of curiosity, why do you dislike AccuWeather?
Oh boy, this was a 20 minute rabbit hole.
Tl;Dr: this is probably AI generated.
Using google image search, I found is that it was created by this account in Oct/2024:
https://www.instagram.com/gothtoon/p/DBh-p4WgThS/
Alternative front-end: https://imginn.com/p/DBh-p4WgThS/
There is the copyright symbol with this user in this image.
If you go through the comments and other posts by that user, it does look AI generated. Their threads account has a linktree, which has a link to a discord server, which I momentarily joined to see what the deal is about.
Looks like it’s a project started by a user named Emo Bot 9000, and they’ve created a bunch of characters, the most famous of which is the frog mage. This is a message on discord that supports this:
Another user asks whether the frog mage stuff is made using AI, and Emo Bot 9000 essentially replies yes:
Now, although the image in this lemmy post is, to the best of my searching, nowhere explicitly labeled AI, I think it mostly points to being generated by AI. The simplest way to confirm would be to ask them on their discord directly, which I don’t intend to do.
Although reverse search tells me there are earlier appearances of this image, they’re either false or the PFP of a commenter.