Replying to Avatar JeffG

🚨 Today I'm launching Ontolo. 🚀

Ontolo is a super simple micro-app that will hopefully entice everyone spend a bit of time labeling other Nostr events. NIP-32, if you're not familiar, allows anyone to label/review/comment on any nostr post. It's an insanely powerful concept (thanks nostr:npub1jlrs53pkdfjnts29kveljul2sm0actt6n8dxrrzqcersttvcuv3qdjynqn, who wrote the NIP), but it's still pretty underused in clients.

Why would you want to have labeled events?

1. Discovery: Labeled events can be used directly by social clients–like nostr:npub18m76awca3y37hkvuneavuw6pjj4525fw90necxmadrvjg0sdy6qsngq955 or nostr:npub12vkcxr0luzwp8e673v29eqjhrr7p9vqq8asav85swaepclllj09sylpugg when trying to suggest content that users might like.

2. Training data: We're at the gates of the era of AI. Classification algorithms and machine learning have been pretty good to classifying content but with a training dataset they can become WAAAAAY better. Hopefully, labels in Nostr will become a public good that all clients can lean on to create their own AI models for discovery, onboarding, and a hundred other things I've not thought of.

This is an experiment, like all of them, so please hit me with your feedback. Expect more fun social features soon. 🫂 LFG!

Thanks to everyone who helped me think through this over the last few days, from Tokyo until now.

🫂 nostr:npub1t3ggcd843pnwcu6p4tcsesd02t5jx2aelpvusypu5hk0925nhauqjjl5g4 nostr:npub1jlrs53pkdfjnts29kveljul2sm0actt6n8dxrrzqcersttvcuv3qdjynqn nostr:npub1l2vyh47mk2p0qlsku7hg0vn29faehy9hy34ygaclpn66ukqp3afqutajft nostr:npub1cd0l3s6qgj0s6690rtkys39mgj5upwxpm4856nhmce0pyqu6xj9qh7xlvx nostr:npub1arkn0xxxll4llgy9qxkrncn3vc4l69s0dz8ef3zadykcwe7ax3dqrrh43w

https://www.ontolo.social

I love the idea of having an ontology for everything but as you already said, AI probably is very efficient at it already so the manual work on posts without context is tedious for probably little gain.

I also have to skip most notes as none of the categories matches.

"If the stars align, nostr is going to get a nice map app 🤩" is technology -> nostr but is that a meaningful ontology? How about "motivational"? How about "community"? I think, many categories overlap and for different people different dimensions are relevant.

I think I would experiment with LLMs and ask an LLM API for the top 5 labels it can come up with for any such post and then ask the user to pick from those or pick another label.

Also please allow the first coarse categorization as labels. If I clicked on Food & Drink cause it's the right category but I don't want to dive deeper, the worst user experience is to have to click back to click skip. How about letting me assign it or skip from the submenu, too?

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