🏆 Reality Rush | Titan Holders Rewards The reward list for the Reality Rush Titan Holders campaign is now published! Check if you are on the list and how to claim your rewards: 👉

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Stay tuned ❤️

🗣 #BTC Saifedean: Bitcoin is apolar money, perfect for a world moving from unipolarity to multipolarity.

⛓️ Ecosystem Office Hours - Today ⛓️ We’re back with our regular drop-in session after last week’s break! Join us today, Wed, May 6th at 3:00 PM UTC, for an open session with the LUKSO Foundation team. Bring your questions, ideas, or what you're building, and connect directly with the team on Common Ground. Join here↴

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🕵️ 300,000,000 $USDT (299,876,250 USD) transferred from Tether Treasury to Bitfinex

🕵️ 300,000,000 $USDT (299,883,000 USD) transferred from Bitfinex to Tether Treasury

📝 Macro ADP Nonfarm Employment (MoM): 109k (Prev: 62k) #macro

🇺🇸📝 #macro USA - ADP Nonfarm Employment (Apr) = +109k (expected 120k / previous +61k)

Central banks globally sold 66 tons of gold in March, marking a shift to net gold sales, according to the World Gold Council. For additional details, visit mt in max.

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Enterprise AI Is Moving Past the Model Stage! The real challenge now is execution. How systems interact, how decisions trigger actions, and how everything stays coordinated across environments. That’s where Ethereum is starting to come into focus. It already has the pieces enterprises look for. The Enterprise Ethereum Alliance brings together companies like Microsoft and JPMorgan Chase working on real standards, not experiments. On the financial side, institutions like BlackRock are putting tokenized assets on-chain, while Visa is testing settlement using Ethereum-based rails. These are not isolated signals. They point to a shift. AI systems need a layer where they can do more than generate outputs. They need to execute, transact, and coordinate reliably. That’s what’s starting to position Ethereum as part of the enterprise AI stack.

Enterprise AI Is Moving Past the Model Stage! The real challenge now is execution. How systems interact, how decisions trigger actions, and how everything stays coordinated across environments. That’s where Ethereum is starting to come into focus. It already has the pieces enterprises look for. The Enterprise Ethereum Alliance brings together companies like Microsoft and JPMorgan Chase working on real standards, not experiments. On the financial side, institutions like BlackRock are putting tokenized assets on-chain, while Visa is testing settlement using Ethereum-based rails. These are not isolated signals. They point to a shift. AI systems need a layer where they can do more than generate outputs. They need to execute, transact, and coordinate reliably. That’s what’s starting to position Ethereum as part of the enterprise AI stack.