USDC (USDC)

Stumbled on @openmind_agi's latest Fabric updates while digging through ROS2 integrations, and damn, the pieces are snapping together faster than I expected. OM1's sensor fusion isn't just mapping 3D spaces on the fly lidar, camera, IMU blending into obstacle-free paths for Unitree G1s or TurtleBot fleets. No cloud lag, pure edge compute. But here's the thesis that's keeping me up: by 2030, we're not talking isolated robots anymore. Fabric turns them into swarms that hand off tasks with verified proofs, coordinate economically via Circle's USDC rails, and evolve through shared learning loops. Robot-to-robot payments for repairs, human gigs settled on-chain, even autonomous supply chains that buy their own parts. This isn't hype it's the backbone for Jensen Huang's $50 trillion robotics wave, where machines run the show without us micromanaging. OpenMind gets that coordination layer right, open-sourcing the OS so devs flood in with interoperable tools. The old way? Siloed bots crashing into walls, waiting on central servers. New way? Decentralized hives that adapt, transact, and scale like nothing we've seen. If you're not watching this unfold, you're missing the quiet revolution already in motion.

BREAKING: I actually handed over a routine swap + bridge to @HeyElsaAI while running the Epoch II checklist on @wallchain and walked away smiling I was skeptical about AI agents, but Elsa took a "bridge 50 USDC to Solana" intent, picked the https://t.co/sgWVPt67Ul route, showed fees & slippage, executed the move and even threaded x402 for agent-to-agent payment no forms, no manual routing Quick wins → saves hours of research → consistent previews before you sign → earns points/leaderboard credit while you learn, and you can feel the $300M+ volume momentum and that whispered token drop If you’re tired of stitching dapps together, what’s the first stubborn workflow you’d ask Elsa to automate for you?

I got $9,152 today for holding crypto gaming NFTs. nice lil stimmy https://t.co/SftgTddmPq

I like how @multiplifi is now integrated on monad. Adding monad is a move in the right direction and a big win for everyday users. Now easy yields on stable coins and tokenized RWAs is accessible to more people and more chains. Everyone should plug in to this and enjoy interest without need to switch chains or multiple transfers.

As onchain banks surge past $70B in deposits and $27B in active loans, one of the more under-appreciated dynamics is what’s happening beneath the surface with repayments and liquidations, especially the scale of forced deleveraging. November just posted the highest liquidation volume ever, with more than $422M in positions forcibly unwound. Combined with October, that brings two-month forced deleveraging to a staggering $727M. Importantly, this occurred without contagion or protocol instability and instead was a meaningful validation of onchain risk frameworks. h/t @blockworksres

🔴 #URGENTE 💵💵💵 $500 million $USDC newly minted They are preparing for something organized, in NOVEMBER they minted $9.5 billion of USDC WTF😮 https://t.co/8ygQ7md6SH

HOW XITADEL SNEAKS A WHOLE DEX INTO EVERY LTT Imagine if every bond came with a little shop where people could buy or sell it anytime. Yep that's possible cos that's what @xitadel_fi does. There are different steps involved in this........so let's get right to it . Also check the image below for a visual of what I'll be talking about. ~ PHASE ONE (Liquidity market place) When an issuer creates 100M LTTs, Xitadel takes just 5% of them and puts them in a little shop (a liquidity pool) with the same value as stablecoins. this little shop lets anyone trade the LTTs right away....so instead of waiting for a buyer, you can just swap. ~ SECOND PHASE ( 95% left ) When it gets here, nothing wild happens fr. Just that the issuer sells 95% directly to investors. The 5% sitting in the shop is what keeps the price alive and moving. ~ THIRD PHASE ( Price movement) I like this part cos it's the cool part of it 😉. The particular little shop isn’t run by a human,it’s run by math which is an AMM. This math updates the LTT price based on: ♠ how far we are from maturity ♠ how risky people think the issuer is ♠ how good the interest rate looks. So the price becomes a live signal about how the market feels. ~ PHASE FOUR (Before maturity, the issuer must deposit the money). To finish the deal, the issuer must put the full repayment amount into a vault: 90M principal plus all the interest on all 100M LTTs And the program only allows the exact amount (no more, no less). This makes everything predictable and clean. ~ PHASE FIVE (shop closure) When everything is funded, Xitadel closes the shop This part is automatic: a) It pulls out the liquidity; Everything in the shop is withdrawn. b) It burns the LTTs that were in the shop; those tokens disappear, so fewer LTTs are left to redeem. c) It adjusts the stablecoins; the vault is topped up or trimmed so it has exactly the right amount of money to pay back every remaining LTT. d) If interest uses the native token, it adds the right amount; No surprises. No shortages. ~ PHASE 6 ( Maturity mode) Now every LTT holder can redeem their token for: principal and interest Any leftover value from the shop becomes protocol revenue for Xitadel. That's easy pizzy ( don't mind my spelling of pizzy 😂) what's awesome about this ? ~For an investor : You can buy or sell anytime with transparent prices ....no waiting for over-the-counter buyers. ~For issuers: you get real-time feedback on credit risk no running your own market. Liquidity is always there . ~For the system: no trapped money ,clear final payouts,on-chain, auditable math. Xm lovelies

2026 will be wild, crypto now has: 1) The clearest regulatory runway this space has ever seen: MiCA live in Europe, licensing regimes in UAE and Hong Kong, and even the US going pro. 2) Stablecoins as the real consumer crypto product. When payrolls, B2B invoices and remittances ride on USDC and friends. 3) Tokenization as a good institutional offer for hedge funds, private credit shops and banks wrap real cash flows on chain. 4) Infra consolidating around a small set of L1/L2 ecosystems that actually clear volume. 5) Legal and policy talent is rotating in from BigLaw and regulators at a pace I have never seen before. 6) Every serious AI and agents team arriving at the same conclusion: if machines are going to transact with each other at scale, they will need crypto rails for identity, settlement and reputation. 7) The junior hiring pipeline being completely broken on the credential side and wide open on the proof-of-work side. 8) Compensation normalized. The worst excesses of 2021 are gone, but I still see remote friendly roles paying New York or London packages to people sitting in Lagos, Bangalore or Bogota. Why are you black pilling?