198522
atlasmoth

@osuji.eth #198522

Yearning to do more.
712 Follower 75 Following
If you're using go_neynar_sdk and are wondering how to generate a signer in Go, cc @jpfraneto.eth this repo should help you, will add an endpoint in a few hours that shows how to use the sdk if you don't want to create the signer yourself

https://github.com/atlasmoth/go_farcaster_signer
In case you need to generate farcaster signers in Golang, i've just published this simple repo to help with that, it's heavily inspired by Steve's code, feedback welcome.

https://github.com/atlasmoth/go_farcaster_signer
My thoughts remain with Schmidhuber at this impossibly difficult time 😂

https://x.com/Plinz/status/1843690678267851051
Bluesky has a pretty legit bottom sheet implementation (for IOS and Android) as an expo module

https://github.com/bluesky-social/social-app/tree/main/modules/bottom-sheet
TIL Wald's equation, derived from martingale property
The sort of video you (re)watch periodically and still keep making the same mistake despite knowing better

https://youtu.be/k0WpK7YkwrY?si=iAWymfKsr7tM9A64
Just to make this clearer, if sth is likely to happen in 2 weeks, then knowledge of that likelihood should already be baked into my prediction model today, so my estimates today should largely remain the same in 2 weeks when it does happen, otherwise the estimate is entirely useless.
As usual, Taleb is right about everything.
Everytime I see new predictions for elections, I always remember this banger. Simply, if *likely* events dramatically alter predictions for a process with only two outcomes, the estimates were most likely bullshit to begin with
I don't think any game has ever appealed to me as much as this gem

https://www.youtube.com/watch?v=gyiVTDMpiGk
I keep seeing stuff like this about Kotlin Multiplatform, except the problem isn't that KMP is hard, it's just not even remotely close to being ready for prod or even stable. Half of the time, it can't even run your ios app on the right execution target.
Lmfao, Cole just redeemed his image in my eyes, this was insane.
Only missing Extreme value theory as the third smiley face😂
Milk lore just dropped. Get in loser we're going to get some milk😂
@notdevin.eth here's what you need for your next short walk from Jerusalem to Cyprus
If you love stochastic differential equations, Ito calculus and Bayesian stats, you'll really really love this
This is probably the most math dense in-depth explanation of how diffusion models really work (sth I didn't understand at all in the past) only real prereq IMO is basic familiarity with Bayes stuff and information theory

https://youtube.com/playlist?list=PL0H3pMD88m8XPBlWoWGyal45MtnwKLSkQ&si=J7c7-QgQ-CXCsaFI
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