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Well maybe I should’ve been more specific. The reason why I mentioned low tech is because it tends to favor localized production and tech that can be easily repaired/modified/created. The pager and walkie talkie attacks came from them not having control over how the tech was produced. If they did have control over that then it would be less likely that this happened and even if it did they would be able to recover quicker.
PS I actually don’t really care about Hezbollah doing this. They suck. It is just in principle it would be better.
I had a feeling that this war would start something like this. Israel has been a testing ground for advanced military technology/ideas for a while. Now that they are engaging in war it was inevitable that techniques or ideas that they have been hiding would eventually get used leading to the world being more dangerous than it was before.
Also as a side note this is why low tech is such a good idea. A small amount of dependencies usually means something is safer in the long run.
such that your model could be “riding along on a human surfboard with human guidance”
Sorry I don’t really understand what you’re saying here.
Good point. I have been a lot more active in tailoring my experience here compared to other social media. I wish there was more tools for deciding whether or not you want to block someone though. Sometimes its not as simple as just looking at their post history. Also as an aside I wish it was possible to block votes as well so the ranking of the content was also able to be personalized.
I’m going to be bold enough to say we don’t have as wide of an AI/LLM issue on the Fediverse as the other platforms will have.
Why do you think that? I don’t think that there is anything systemic in how the fediverse operates that will stop LLMs polluting the discourse here too. Actually I already think that they are polluting the discourse here.
That sucks. So much research is being twisted by humanity’s greed. I hope that whatever comes after the internet becomes useless is better.
Long distances actually don’t really mean much it can’t be guaranteed that they actually correlate to much. It is mostly the local groups that are conserved and a bit of the global structure.
I don’t think it was included because there were no new comments made after august 1.
I had to try scraping the websites multiple times because of stupid bugs I put in the code beforehand, so I might of put more strain on the instances than I meant too. If I did this again it would hopefully be much less tolling on the servers.
As for the cost of scraping it actually isn’t that hard I just had it running in the background most of the time.
Yeah that sounds like a good idea so you can see how connected local communities are. Probably makes more sense to use original dimensions so no extra information is lost.
Something that I find interesting is how close the central clusters of beehaw.org, slrpnk.net, and lemmy.blahaj.zone are together. If you only highlight those instances then you see how close their communities tend to be.
Total communities: 2986
Total users: 21934
So the dimensions were reduced from (2986, 21934) to (2986, 2)
Edit: Also yeah it is using Umap for the algorithm and it does do something pretty similar to what you described.
I was somehow able to get both a picture and url added and it looks much better. Thx.
Either the people in !steamdeck@lemmy.world are pretty horny or its an artifact of the dimensionality reduction and means nothing.
Edit: Actually it could also be that it just didn’t collect enough data on that community and the most recent person was also active in nsfw communities. I was only able to get back 14ish days in the data for lemmy.world. They produce way to many comments and I got kicked out early.
Yeah pretty much. I wanted to see communities that had similar people that commented because I thought that would be a good way to see if there were similar kinds of discussions were happening in those communities.
For example most of the red dots to the top right are nsfw communities and it was able to clump like that because the people that comment in those communities tend to comment in the other nsfw communities as well.
edit: left -> right
I didn’t measure activity for this map. Each dot represents a community. I only used the communities that were on the top 35 instances (except lemmings.world which it couldn’t grab any comments for.)
Well I used dimensionality reduction to make it 2D so the axes are how the algorithm chose to compress it.
The original data had each data point as a community and the features as a frequency of a user posting in that community.
This is pretty cool thx. I like how they include both the researcher and their seminal works. It also helped me find another researcher that was into low tech other than Philippe Bihouix. I wonder why most researchers that are into that are French?
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