where I'll be placing my bets in 2026
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where I'll be placing my bets in 2026
somebody please present the bull case for openai, I genuinely don't see it
Question for Nostr devs: I’m trying to understand whether a traditional private account model can be built on Nostr using encrypted groups (NIP-EE). I know a lot of people who enjoy using their real name, but not broadcasting everything publicly. Idea: When you “follow” someone, the client is really adding you to one of that user’s encrypted follower-circles. But their posts to that circle appear in your feed; the client just makes the group a feed to mimic the pattern we're used to. Users never see “groups”; they just see a normal follow/feed UI. Is this even possible? Example: A follows B. B follows C & D, but only D follows B back. A should see only what B shares with followers, not everything B sees from C & D. No idea if this could actually be implemented
It’s truly inevitable
that's the plan!
Yeah we’d still have Nostr login and for topical relays we’d actually re-route notes posted to our relay to m servers dedicated to that topic. For example I love Detroit sports, I post about the Pistons on the internet (doesn’t matter where) and it gets routed to a “sports” relay without me needing to know that relay even exists. We’ll basically route conversations to semantically similar conversations in real time across the entire web
custom recommendation engines that would work over the entire internet. similar to what parallel web systems is doing with search, but interest-based / user defined embeddings I think if we combine nostr with mainstream content it will show the world that if every website used a native login, we'd be able to interact across all websites. so doing a ton of crawling/scraping of the entire internet essentially. additionally reuse use the clustering process to create topical relays that would act similar to subreddits. classify each note + continuously run topic modeling on all notes to route notes to topical relays and clients could build dedicated clients on top
Something I’m exploring rn Unsupervised learning over all notes to automatically spin up topical relays (based on the clusters) that clients can use for specific kinds of notes All new content gets passed through classifiers and routed to topical relays with dedicated names, similar to subreddits, but purely automated with ML
We have to blend Nostr with mainstream content across the entire internet. Have all the features they’re used to (likes, comments, etc) there for them to use, but they’ll realize they can’t use them. This will be the point of education.
What’s up Reid
trying new things