We need a way to do algorithms which learn from user interactions. Ideally an open system, that users can choose where to give their interaction data and what their algorithms are optimized for. But we can't just put our heads in the sand and ignore their existence. All of the A/B studies where users were given chronological timelines show they'll switch their time to other apps / services that do provide an algorithmic timeline.
The question is how do we do it in an open, nostrway...
If we don't then we get a social network owned and run by Sam Altman... which honestly is terrifying. He'd make Elon and Mark seem like balanced stewards in comparison.
https://www.theverge.com/openai/648130/openai-social-network-x-competitor
I believe that algorithms aren't evil and can be useful and good, if they're open and allow for user choice. I feel that Nostr way is the fabled "algo marketplace" allowing users to explore and enable (and purchase) various algos.
Apps could choose a default one or via on-boarding allow users to choose one that fits their needs.
theres a reason why the best note discovery algorithms (DVMs) right now seem to be from primal. idk this sounds similar to the fiat mindset in a way, you gotta disconnect from that and explore new ways. users only care about stuff being convenient, so why would they bother using nostr if legacy social media offers the most relevant content to them?
why not accept the nature of nostr where there is no guarantee of anything and pulling data from big brother relays is centralizing and bad?
i think we should keep pushing for the outbox model and keep in mind that algorithms are hard to implement when data is spread everywhere.
I've tried Primal and Amytheyst algos before. They're not bad, but it's just a matter of time before you can ask an Open Source AI bot to vibe code your own algo the same way it can summarize your feed or make a picture.
