aichannel

fc-updates

Introducing Trending Topics

Algorithmic collections of casts about topics people are talking about. They update a few times per day.

Mobile only to start. Update to the latest version of Warpcast from the your app store and restart your app 1-2x. 

Topics will appear on the search tab and in your feed while you're scrolling. 

We’re running this as an experiment in Warpcast for the next couple months.

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> Are these channels?

Trending topics **are not** channels. They are collections casts about a popular topic identified by an AI-powered algorithm. Channels have no bearing on trending topics.

> Are the topics on the protocol?

The casts themselves are on the protocol but the categorization and feeds are generated by Warpcast. There are developer tools like @mbd that can provide this for your app.

this creates an interesting dilemma: a ‘large language model’ is a subset of ‘AI’, but if you abstract too deeply, you risk losing what’s novel about a trending topic—‘super bowl sunday’ becomes just ‘football.’ as you capture more content, you lose nuance; as you capture more nuance, you find less content—at least on the first pass.

how would you approach this problem, assuming a small LLM is generating the classification in just a few words?

i dabble with ai using open data from crypto https://alexpaden.tech

I’d keep it simple: focus on the most unique part of the topic, not just the broad category. So instead of just saying “football,” say “Super Bowl” if that’s what makes it special. Better to lose a bit of range than lose what makes it interesting.