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Markets go up and down. Stablecoin transfers on TRON keep settling every second, around the clock. We keep building.
MELEEK THOMAS, HOW??? An INSANE bucket to beat the shot clock!
nabers clocking in WASvsNYG – 8:15pm ET on Prime Stream on @NFLPlus
Two male FBI agents go undercover as white girls, walk into the party, and nobody clocks it. White Chicks (2004). 10/10.
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Seven switches stand between a stock token and a loan. The $PLEDGE desk makes you flip each one yourself. Film M follows a single example, 100 NVDAc, from raw value to a repaid loan: 1. Connect: reads your account and sends nothing 2. Approve: an exact-amount approval, never a blank check 3. Supply: its own review, then your confirm 4. Enable: collateral switched on in a separate review 5. Borrow: debt, health and fee shown before your wallet opens 6. Repay: an approval alone does not repay 7. Read back: the mined transaction is checked and your position is refreshed Before switch 1, the desk does the math in the open. 100 NVDAc is about $23,481 (oracle price times the token-to-share multiplier, on two separate clocks). A 70% factor makes a 16,438 USDC theoretical limit, caps and liquidity shrink it to real room, and choosing half lands at about 8,219 USDC. That costs 6.58 USDC a month at 0.96%, starts at health 2.00, and a simplified 50% price fall takes health to 1. $PLEDGE lives on Robinhood Chain. The loans run on Base. Holding $PLEDGE is not collateral, not a fee entitlement and not loan eligibility. Built on Aave V4 data. If their value falls too far, Aave can sell your tokens. The loan still needs to be repaid. Illustrative walkthrough of the shipped UI, nothing signed or sent. Eligible users outside the US only. @aave @PledgeDesk @ponsdotfamily @coinbase CA:0xbCeFDAB9Ea24a16ca6F993A36f74Da17c63B8C3A Trade only the contract posted from this account.
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Mariota turning back the clock with this 35-yard run. @INDvsWAS on NFL Network Stream on @NFLPlus
Checking out $SHILL on The “clock in” idea is interesting: choose a coin you hold, post from your own account, and choose where payouts land. Curious to see how it develops. 0x93cfF6Dc0cf59680b8d85b9F3312a24bF1a7c1D8
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OpenAI Dots is insane for building a 24/7 AI company... I mapped the whole OpenAI Dots architecture into one paper: agents, models, tools, memory, delegation, guardrails and the revenue layer. Here are the 10 steps: step 1 → stop treating Dots like a chatbot. each Dot runs in a persistent cloud environment with its own browser, terminal, files, memory and scheduled execution. close the laptop and the workflow keeps moving step 2 → hire by responsibility. give every Dot one clear domain, dedicated sources, a working style, an approval boundary and a trigger. a "general helper" has no role, only undefined context step 3 → make one Dot the orchestrator. you give it the objective, it decomposes the work, delegates to specialized agents, checks their outputs and merges everything into one deliverable step 4 → stop being the courier between agents. with isolated delegation, each worker gets only the context and tools it needs, executes in its own environment, then returns a structured result to the orchestrator step 5 → connect the real business stack: cloud browser sessions, Slack, Microsoft Teams, Google Workspace, internal dashboards and APIs. a Dot without tools is still just a conversational layer step 6 → put the company on a clock. recurring routines and event triggers turn one-off tasks into persistent operations. research, monitoring, reporting and pipeline checks can run while nobody is online step 7 → automate the reversible, gate the irreversible. let agents read, research, analyze and draft autonomously, but require human approval before messages send, money moves, records change or production code ships step 8 → route intelligence by cost. keep the strongest model on orchestration, conflict resolution and final audits, and let cheaper high-context models handle background research, classification and repetitive execution step 9 → give the company shared memory. project specs, approved claims, pricing, decisions and requirements live in one persistent workspace, so every agent works from the same source of truth instead of rebuilding context from old chats step 10 → connect the loop to revenue. research finds the signal, outreach creates the opportunity, execution moves the work forward, analytics measures the result and monitoring discovers the next action AI stops being something you open when you need an answer. It becomes an operating layer that keeps economically useful work moving after you log off. Copy the complete OpenAI Dots architecture blueprint, then read the full roadmap below ↓
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Arike Ogunbowale with the triple to beat the shot clock in OT 😯 She's up to 37 PTS, 6 REB, 4 AST, 3 STL and 4 3PM as the Wings battle the Valkyries in overtime of Game 2 on ESPN!
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The bank stays open late for Alysha Clark 😌 She cashes in from 3 and beats the clock! GSV-DAL | ESPN | 2026 WNBA Playoffs presented by Google Pixel | @madebygoogle