He founded it, and it was bought out 6 years ago. Before the sale, that site was pretty awesome, and now it's crap. I wonder how much he's actually contributing to Fandom these days, he seems more interested in other projects.
I personally don't care much about federation and think it unnecessarily complicates the user experience. I'm here because lemmy as a product is good enough, not because I value its connection to other instances.
I do think we need to get away from centralized services, but I personally think the federated approach won't scale well, at least the way it has been implemented due to the sheer amount of duplication of data.
I'm not going to avoid a product just because it isn't federated, I'm going to avoid a product because it's centralized.
From the Wikipedia page on the project, there's a quote from this Twitter thread from 2019, where he says he's potentially interested in adding native support. Hopefully that comes at some point, I'd be happy to try it out if it does.
Dude you're like a decade late. You can't start warning us about the dangers of smoking when we already have stage 4 lung cancer and expected to make any difference whatsoever.
I hear what you're saying here, but the parallel doesn't work. People were dying of stage 4 lung cancer for years before they finally put warning labels on the product.
Unfortunately, people like this are going to have to keep saying it over and over until the message takes hold. It will take years.
TOKYO -- Wikipedia has become an essential online tool but as misinformation spreads rampantly on the internet, its founder Jimmy Wales tells Nikkei about the challenges the 23-year-old nonprofit encyclopedia faces in building a platform for the distribution of accurate information.
The advent of generative artificial intelligence further muddies the water, allowing bad actors to create highly convincing videos and audio recordings to perpetuate falsehoods.
Wales tells Nikkei about the strategies that Wikipedia employs to verify facts and enhance the credibility of its site.
Q: What challenges have you experienced in fighting against false statements, pursuing and ensuring accuracy, with Wikipedia allowing people to edit freely?
You can imagine scanning all of Wikipedia on a regular basis and looking for entries that are popular, but also have errors or bias to call to attention.
Now imagine an AI that can go to your mother ... can read all of her past social media posts, LinkedIn, find all information about, and then based on those, to craft a political message now.
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