Varun Srinivasan pfp
Varun Srinivasan
@v
If I were to write ip a quick history of the Warpcast feed algo, what would you be most interested in?
43 replies
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193 reactions
shazow pfp
shazow
@shazow.eth
Curious if there has been any collaboration on it with third party clients? Feels like solving spam requires some amount of coordination, otherwise it can manifest as an externality on other clients?
1 reply
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Cameron Armstrong pfp
Cameron Armstrong
@cameron
The major eras and the important learnings/convictions y’all built through each Who is/was stickied and why
1 reply
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29 reactions
Garrett pfp
Garrett
@garrett
the changes over time and the reasoning behind them
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6 reactions
Luciano pfp
Luciano
@luciano
show us the data on why you prefer rando algo to chronological feed https://warpcast.com/luciano/0xf5faeffa
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sahil pfp
sahil
@sahil
1) what was the most important input data (from the graph) for your models? 2) were the feedback loops (KPIs) for model performance based on warpcast or farcaster data? If both, what was the split?
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Devin Conley pfp
Devin Conley
@conley
The testing and evaluation process for comparing approaches. e.g what metrics are being optimized, a/b testing, back testing, etc.
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Vladyslav Dalechyn pfp
Vladyslav Dalechyn
@dalechyn.eth
How does algo react to “breaking/just-in” trends changes? I am a noobie at ranking but can assume that in a non-ML algo you introduce time decay and while the “topic” has not even started decaying and more and more people engage with it, it rank skies up to the roof. But in ML-based feed algos I assume “feeds” are prepared beforehand- “feed_1”, “feed_2” etc. And if so, is there some kind of extensive workload that the algorithm is experiencing when a “just-in” trending cast shows up that must be seen? As an example, in the “other” platform news about an “earthquake” or “missile attack” appear almost instantly, at nearly at the first three posts. Is it simply because lots of people post about it? Thanks!
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KMac🍌 ⏩ pfp
KMac🍌 ⏩
@kmacb.eth
Forget the writing. Do one of those excalidraw videos. 🤩
2 replies
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28 reactions
Zach Davidson pfp
Zach Davidson
@zd
- what was the initial goal of algo vs chrono - how did the algo change over time - why was each change made - what does algo prioritize now + why - what’s the future goal(s) for feed algo - what open questions still remain
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Pierre Pauze 🔵 🚽 pfp
Pierre Pauze 🔵 🚽
@pierrepauze
What's driving the algo to highlight one content over another? I really get the feeling that there's a significant slowdown in traction, whereas we're building something substantial with /artcoin on farcarster. Having some details on how and why would be v reassuring.
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Haole pfp
Haole
@haole
The MVP code which third party client can learn and adopt
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Rch 🎩 pfp
Rch 🎩
@rch
what was one thing that you didn't expect to work and did. and vice versa. and your thoughts on the why
3 replies
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frdysk.framedl.eth pfp
frdysk.framedl.eth
@frdysk.eth
did shadowban ever exist pre-permissionless?
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MattwithouttheT 🎩 pfp
MattwithouttheT 🎩
@mathew
I’m always curious about and interested in the reasoning behind significant changes.
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3 reactions
Dvyne pfp
Dvyne
@dummie.eth
How bots are detected and put in spam Cause somehow, many get locked in spam replies
1 reply
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1 reaction
rookisaacman pfp
rookisaacman
@nvzi037932
Curious if there has been any collaboration on it with third party clientsnnFeels like solving spam requires some amount of coordination, otherwise it can manifest as an externality on other clients
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0 reaction
IndiascoEliteThe pfp
IndiascoEliteThe
@indiascoelitethe
I would be most interested in the events that led to the algorithm's development and major changes over time.
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ethdegen.degen.eth🎭 pfp
ethdegen.degen.eth🎭
@batesy
Why it's so unbelievably shit
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Zenigame pfp
Zenigame
@zeni.eth
a bunch of the little experiments like that one day where you turned things chronological and then no one ever asked for it again
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