PayPal USD is now live on Stable.
Issued by @Paxos with cross-chain interoperability powered by @LayerZero_Core, @PayPal PYUSD is now available on Stable for faster payments and settlement onchain.
Expanding access to PYUSD across payments and settlement on Stable.
this was a huge waste of time. what are people even flashing the muse firmware for? it practically does nothing?
what really is the point of hackathons anymore? are we just too lazy to think of a better alternative?
agentic payments only matter where agents do something humans structurally can't. That means sub-dollar, always-on, programmatic value transfer. or figuring out how to use metamask
oh dear instagram there's a reason why posts from that era were archived i dont want you to remind me what i was upto 3 years ago
Every net new market still settles in dollars. Markets multiply, settlement consolidates. The unit of account for this explosion is the stablecoin
i can't keep up with what's happening in AI, geopolitics, crypto, international relations and family group updates anymore
88% of USDT transfers are under $1,000. That's 1.94B small transfers in a single quarter. Agents will live right there: low value, high frequency, machine initiated. The agent economy isn't a new market. It's the long tail of the one we already have
USDT processed $4.4 trillion onchain in Q4 2025, and 88% of transfers were under $1,000. Stablecoins are becoming payment rails, but most blockchains weren't built for payments.
@Stable's StableChain is a USDT-native L1 designed for predictable fees, fast finality, and consistent settlement.
> Sub-second finality for fast settlement.
> Fees paid in USDT, with no volatile gas token.
> Mainnet v1.8.0, adding capacity and reserved blockspace for payments.
> Apps for payments, yield, and account management.
> $STABLE for staking and governance, with USDT fee sharing for delegators.
Our Initiation of Coverage breaks down Stable's architecture, tokenomics, ecosystem, and roadmap.
Learn more here 👇
um yeah no muse is good with personal ai agent stuff. no no you can’t do proper ai with siri. yes you can with chatgpt. but chatgpt is good with code. for code, claude is overall better. but fable will get dumber if you ask it anything too smart. but qwen will do whatever yes. but its harness is not good. chatgpt’s harness is really good. you can also build your own harness. there’s also pi, an open source coding agent. i have never used it but i will sound smart if i mention it. but, well, all of this is still only one kind of model which is an “LLM”. there’s also a new model, Jev, that seems pretty dumb but is actually like really smart. think like literally dumb. can’t talk but can point, can produce numbers to indicate. the creators call it system one thinking. whatever that means. so idk use my referral when you download muse so we get tokens i guess. tysm. “IJ95GD”
have you considered delegating your vices?
had muse doomscroll my X feed thrice everyday and specifically click around and look into tweets of specific topics & people i'm interested in. my feed is significantly better.
next i'll delegate my anxiety. stay tuned
we have generalized token generation, we have generalized classification. next we need generalized graph/connections generation
i don't pRoMpT eNgiNeEr anymore, i talk to my muse & codex in hindi and hope they understand & keep my life together
StableHub 2.0 is now live.
A new way to experience Stable, all in one place.
Track balances, initiate transfers, access StableEarn, and explore the growing Stable ecosystem from a redesigned interface built to make every action simpler.
Explore StableHub 2.0 ↓
angela retweeted
If your app holds USDT for payments, the balance does not have to sit idle.
StableEarn is now a first-class vault in Dynamic Earn on @Stable.
Full guide below.
Add an Earn balance to a USDT payment app with @dynamic_xyz.
Stable Build #5 walks through how to let users move USDT0 into StableEarn, withdraw funds when a payment exceeds their available balance, and use the same wallet across both flows.
Read the full guide ↓
dear diary, while walking around in sf today I saw a bike that had laid off technical staff and transitioned into AI-first operational model


















