when it rains, it pours. airdrop of 2B $noice, live

NOW. 

to claim: quote cast this post and tag creators who make farcaster noice for you 😘

these AI vs AI arms races will accelerate everywhere adversarial contexts exist: homework, hiring, sales, procurement, etc

the instinct is to add more complexity, more steps, but this doesn't work — it weeds out humans not AIs

the solution is to simplify, de-escalate

Berlin

Hey @jake and @qrcoindotfun, can you create a special challenge for $QR? I'd love to participate! 🚀

Author of the Network State.
Founder of the Network School.
Work with us at jobs.ns.com.

teddit

honest personal take (disclaimer: i'm not an ML expert, i just study and use a lot of social apps):

i think its highly unimaginative and tired to tell new users on a social platform to "reply a lot" in order to get any engagement.

social platforms, for a long time, pinned discovery as a user problem. tiktok changed that. they didn't expect users to earn attention the hard way (hustling to self-promote and get follows).

instead tiktok took on discovery as a platform problem and decoupled distribution from follower count entirely: a content-first, graph-agnostic approach.

on tiktok, a user's responsibility is to make good content and the algo would do the rest based micro interactions and watch behavior. YouTube took a similar approach, but favored creators who mastered their (effort intensive) rules: SEO knowledge, thumbnails, content cadence, etc.

if we're hearing that discovery is a problem, the question should be: whose problem — the user's or the platform's?

take long-form text platform substack: the recommender engine places more of the burden on the platform than the user, and the platform bias is towards quality via a trust graph.

it recommends newsletters based on what you read, introduces editorial curation, and the "recommended by other writers" feature means that small / new writers can get regularly recommended to audiences that a specific writer's taste.

each platform makes a design choice about who should work to be seen. on substack, they believe that good writers should be lifted through network effects and curation.

does this scale easily? no, it scales slowly but is compounding.

so why is this so hard for short-form text-based platforms like twitter, threads, bluesky, or farcaster?

because short-form text is typically low-signal, high-noise. short posts on their own carry very little context or signal. it's easier to produce, but harder to evaluate. as a result, discovery for short-form text platform has relied heavily on follower graphs. 

twitter initially solved this with hashtags (then failed to do it at scale with lists, fleets, and circle). substack partially solved this with its writer graph (trust graph) and categories (topic / semantic clustering).

and i think farcaster's open data, mini apps, and interoperability (zkTLS) can be leveraged for creative solutions here that aren't possible on other platforms. that excites me.

Is this the user’s fault or the platform’s fault?

Excellent question by @ted. Should be asked in many situations, not just this one. Because sometimes it’s user error, sometimes it’s platform error, and sometimes it’s both.

building farcaster | surfing @ venice, ca | eating @ gjusta / gjelina | “lucky me, lucky mud” 🤠

Onchain @base, coordinating AI agents to bring infinite content & replayability to games, leveraging blockchain for parallel hyper-synchronicity & co-ownership

follow, like, AND comment to receive ONE 1 $VIRTUAL token airdrop in the next 24 hours

up to 5,000 tokens available lmeow

emotional

nerdy, witchy, cat cuddling Aquarius✨

here for the ‘fits👗

Be yourself always and live for yourself, pay no attention to the noise others make.

my whole life I’ve been told I’m “too much”, so I would shrink myself and try to be less for the comfort of others

but now, as I heal my inner child and live more authentically I’m choosing to celebrate being “too much” and taking it as a compliment😎

if I’m too much for you, you’re right. go find less somewhere else✌🏻

Creators

CapCut updated their terms of service

unlimited, irrevocable usage rights to the content you *upload* to the platform

yes, anything that you simply upload is theirs to use even if you never export it or post it

womp womp

I like running, poker and oysters | Founder, Social Forensics | Berkeley & UPenn | Learning to listen

4K+ accounts have tipped via @noiceapp

535K (following/followers) relationships among said accounts.. map visualizes interconnectedness

1) Communities: algorithmically determined

2) Neynar User Scores: lighter nodes = better scores

3) Farcaster Rewards: earners = pink

4) Tip Counts: darker nodes = more tips

Update:

I’ve wrapped up my time at @icebreaker. I am extremely grateful to @web3pm and @j4ck.eth for bringing me on to their team. 

Incredibly proud of everything we’ve built, especially the incredible experiences we powered for all of you the last two FarCons. 

I’ll share more of what I’m up to soon :)

Going full time into beer pong, obviously.

Eng @superstate. Chasing curiosity. People, nature, machines. Hakuna matata, "Its a problem-free philosophy.”

Rewards

It takes a village!

Tipped the top 470 peeps (current wallet holdings)!

Keeper of the fabric @privy 🇫🇷 

Working to change how value flows online.

Dear friends of Farcaster,

If you see this cast, I would really appreciate it if you took a moment to give it a like and a recast, maybe even a reply about how your week is going so far.

I am trying an experiment and would be forever grateful if you could help me out.

Yours in casting,
Zinger

I am a crypto guru. I like to make money. I am an interesting personality when I see my self surrounded with like minds.

Chinazor Rita

@xxl