shoni.eth

@alexpaden

615 Following

37241 Followers

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been thinking about this one since Elon said grok was the new feed alg- lots of interesting approaches. One of them is the profiles dataset which acts as a map for personal interests— follow the leader ai are low effort and novelty, this almost always turns to gimmick after a couple uses. this concept is now dead imo, but the map is still partially alive.

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1 like gang gang https://farcaster.xyz/alexpaden/0x702d47be

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trying something new for a bit and I’ll be out of america for the duration. dataset releases and novel farcaster ai research will continue 🫡

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ion have much to say anymore just be trying to grow as a person and make friends that appreciate the person. feels like looking for the invisible key in a dark room suppose by the time it’s found that feeling seized to exist “This is your moment, and every single minute you spend tryin’ to hold on to it ’cause you may never get it again…” - till i collapse

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when did the Silicon Valley advice change from take risks in your 20s to start out working for one of the big companies

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farcaster pro users be like I thought you’d want to read that opinion in long form

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normally I’d have some stuff to say about the autofollow list but these days I just want some horses on a ranch

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New Release: https://huggingface.co/datasets/shoni/farcaster Total Records: ~18,147,313 threads Data Cutoff: 2025-06-25 (no threads newer than this date) Notes: Includes f32 and binary embeddings, new thread formatting, recursive quote hydration, and more efficient token inclusion

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~18M unique threads in threads/v2 dataset-- pgvector to parquet is slower than expected.

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cursor replaced $200 gpt for me.. number go up slowly

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[this is an automated test please ignore] ill use likes/recasts from this post as a trench qualifier for airdrop v1

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threads/v2 was 2.148(B) tokens per embedding completion primary growth from Quote hydration, and efficient token context

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quote with your drafts

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"This is an automated test reply." before you can know what to say, you must know where to say.

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i think potentially a useful miniapp is user search so i'll do that mini-PRD: - search by prompt - result list and profile view searchlite first claude code project, i guess the goal is keeping capex low. release after profile v1 dataset, no public v2. (this is context)

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what miniapp docs should i prime my agent with? links?

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top scifi book suggestions? I’ve not read dune yet.

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Nutty pudding is such an easy nice meal snack

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Donate to @losfomos's crowdfund "Los Fomos: Farcaster-native IP is going IRL production"

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