Ethereum

Entire’s internet economy will be denominated in ETH.

Check your $DOGEX airdrop on Linea 🪂

- Checker : dogex.fun https://dogex.fun/?ref=asgard.linea.eth

Airdrop Formula : [(LXP x 20) + LXP-L] × 1,000

Bonus Multipliers:

• 1.5× for early adopters

• 1.2× if you own a Linea ENS domain

• 1.2× if you hold a Voyage NFT

Interface

chain rewards the curious | initial contributor at @interface | /interface /wijuwiju /walkthewalk | online at app.interface.social/wijuwiju.eth

I’ve ran out of ETH investing into coins, anyone knows a good place I can get some ETH?

Berlin

building @zksync, venture partner @latticefund, co-founder chainstory.xyz & writer karthikoncrypto.xyz, FID 681

Deciding to do a thing and start a weekly newsletter called "The AI Stack".

Check out my first post where I discuss what the AI stack is and why we're in the early innings of transition from the software stack: 

https://theaistackishere.beehiiv.com/p/1-the-emerging-ai-stack

Check it out, LMK what you think!

GM Virtuals Fam on Farcaster

Expect airdrop to be completed sometime later today. To those that are eligible to claim the airdrop, we want this to be your gateway into exploring AI agents in the Virtuals ecosystem. Hence we highly encourage you to stake your airdropped $VIRTUAL on https://app.virtuals.io/lock. 

Doing so will start earning you points and the ability to take part in governance proceedings (more on this later this week)

[Important] Should you decide to toggle Auto Max-lock Mode you will be rewarded with more Virtual in the coming days. Snapshot for stakers happens 48 hours post airdrop. 

See example on how to stake via Auto MaxLock Mode below:

yesterday @ other internet interview and they ended w/ a question: what's one tip for people new to the industry?

my response: mechanisms (esp. for allocation) are means, not ends. never a magic replacement for organizing at the right level of abstraction

Dev ecosystem @farcaster, cofounder @bountycaster. Prev: cofounder of Scalar Capital, product at Coinbase, coproducer @ethereumfilm

gm all, we are learning how to airdrop the token 🤣 not a farcaster expert (yet)

picking @linda ‘s brain on how to do the airdrop but pls comment below too if u know the best practices!

virgenity

Author of The Network State.
Work with me: 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” 🤠

Proxy base.eth

@proxy