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Pretty much in the title. Maybe you wouldn't even use it, but would like to simply see it exist for the sake of having a federated alternative.
For me, it'd be the following:
- Meetup
- Tiktok
I am on the first two, but would prefer a federated alternative. I'm not on Tiktok, but would like to see a federated alternative.
I'll admit these might not be a good idea. But as a thought experiment, I'd be curious about the community weigh in on what you all think this might look like.
The problem with video content (even short videos) is, that it generates an absurd amount of traffic and needs lots and lots of local data storage. This is also why there are so few PeerTube instances.
PeerTube would be a way to publish your short clips, too. Not as specialized as TikTok, but still ...
Also tiktok really only makes sense with a big algorithm knowing what users want to see. Even if you were to follow many people, with the average video being only about 30 seconds long you won't have much content to enjoy. The whole short form video thing is kinda built on knowing what your user likes and doesn't. I don't know how you could design such a platform without some privacy concerns.
Yes, yes you could.
Companies like Google have successfully brainwashed us into believing that algorithms like this can only work on their server farms. The only reason those werver farms are necessary is becauwe they're processing data for millions of people.
We forget that in each of our hands we hold a device that is 5,000 x more powerful than a 1985 CRAY-2, at the time the world's fastest supercomputer. And let's not forget our home desktops and laptops, which are several times more powerful that that.
We each have devices with persistent internet connections that could be at work scanning, categorizing, and filtering personalized content for each of us, without giving any privacy away. It's only because we've been conditioned to be dependent on having our data centrally processed that we believe that's the only way.
Note, it is more efficient to process content centrally, where the data is stored. However, generalized categorization and content tagging with robust metadata and standardized APIs would address the efficiency. Given companies are unlikely to do this and scupper their own surveillance revenue, the next best thing is local, privacy-respecting, smart content filtering assistants.
Are you Richard from Silicon Valley TV show? :)