U.S. Conference Board Leading Economic Index MoM for August

$$$$ GIVEAWAY ..... Can yall take @JohnnOnchain to 1k ? He's gonna follow back .. LETS GO GUYYYS @ely

Very happy to have Ely join me tomorrow for an Open mic with Nobi ⏰5PM EST We‘ll talk about Elys web3 journey, his new role and all things Abstract Hope to see a lot of you guys there

Why is it trending all over the internet? ✅ True power realization - AI automatically determines whether you are a "Sky-high Agent" or a "Mixed Points Beast". Want to get something for free? Not possible! ✅ $560,000 prize pool — whoever carries, whoever gets the money, it's so fair that even professional players can't sit still! ✅ The token is about to be launched - the $ELY you earn now may double in the future, early players have won big! ⚠️ Warning: Professional team has entered the arena! Still hesitating? When Faker-level players come in, ordinary players can't even grab a "low guarantee"... It's still not too late to get on board now!

😳𝙃𝙚𝙧𝙚 𝙞𝙨 𝙬𝙝𝙮 𝙮𝙤𝙪 𝙖𝙧𝙚 𝙜𝙚𝙩𝙩𝙞𝙣𝙜 𝙚𝙧𝙧𝙤𝙧 𝙢𝙚𝙨𝙨𝙖𝙜𝙚𝙨 𝙤𝙣 𝙏𝙚𝙨𝙩𝙣𝙚𝙩? ‣256,654,445 Milion total transfers ‣257,475,853 Milion total packets ‣This high volume might cause congestion in most cases due to the limited number of RPC nodes on Testnet. ‣This is why Union partnered with several RPC node providers for Mainnet, such as Cosmostation, Nocturnal Labs, Kahuna, Lava, and Chorus One ‣Among these, the Lava partnership stands out, as it offers decentralized RPC infrastructure to reduce costs, enhance reliability, and support seamless interoperability across chains.

Guys, let's quickly summarize a few projects coming up for TGE, you can check them out, do your own research (DYOR)～ Core Innovation: Use the OneBalance chain abstraction toolkit to eliminate multi-chain operations—users do not need to be aware of chains, bridges, or Gas tokens, and can trade cross-chain perpetual contracts (ETH/ARB/OP, etc.) like using a CEX, aggregating liquidity from Hyperliquid and SynFutures. Data speaks: $8.4 billion in cumulative trading volume over 14 months, V2 mainnet just launched, points system activated (trade to mine $VOOI airdrop). Business model: earn fee sharing + exchange rebates, aiming to create a DeFi version of Robinhood, targeting the retail investor incremental market. Risk Point: Dependence on the technical stability of the partner OneBalance. If there are cross-chain delays or vulnerabilities, it may lead to disputes over liquidation. Summary: Addressing the urgent need for DeFi operations that are user-friendly, but it is necessary to verify the liquidity depth in a bear market. Core Innovation: Networking with Aethir's 400,000 GPU nodes to create the GameFAI low-latency competitive chain—real-time AI training + game data monetization, players use $ELY tokens to bet on match outcomes and cultivate esports AI agents. Profit logic: Collecting registration fees for competitions + selling AI training data (such as League of Legends battle strategy datasets). Risk points: Compliance pitfalls in esports games (related to gambling), and the potential transfer of GPU operation costs to players may crush the economic model. Summary: The scarcity of competitive blockchain games, but compliance is like licking blood off a knife. Core innovation: Create an on-chain AI agent arena - agents store strategies on the Ceramic network, users bet on competition outcomes (e.g., trading competition AlphaWave prize pool of $25,000), knowledge can be traded. Cold Start Strategy: 500,000 accounts on the testnet brushing Surge points (accounting for airdrop weight), Coinbase and Animoca staking 39 million dollars. Source of income: lottery competition fees + selling verification node computing power (requires staking tokens). Risk points: It is difficult to prevent and control agent cheating, and Summary: DAO-style AI training is innovative, but be careful of becoming a "PPT battleground" before implementation. Core innovation: Quantifying data contributions into money using Proof of Attribution (PoA) - for example, when a doctor uploads medical data and it is utilized by an AI diagnostic model, automatic revenue sharing in $OPN tokens. Moat: Lightweight framework OpenLoRA runs a thousand models on a single GPU, cutting costs by 99%; raised 8 million dollars (co-invested by Polygon founder). Airdrop Strategy: Earn 2000 points per day by running on the testnet, with the top 200 players on the Kaito leaderboard sharing 2 million OPN. Risk points: The huge pitfall of cross-border compliance for medical/financial data, competitors like Spectral play the same trick. Summary: It addresses the pain points of AI data exploitation, but compliance is the sword of Damocles. Core innovation: Tokenizing the process of training AI by humans - users earn $SAPIEN by completing annotation tasks (such as teaching AI to recognize images), data is put on the blockchain as training materials, feeding back into model iteration. Model advantages: Specifically addresses ChatGPT's "garbage in, garbage out" by using real human data to improve model accuracy. Early dividends: Discord ambassadors can earn contribution coefficient bonuses, suitable for users in labor-intensive regions to grind. Risk Point: Centralized task pricing power, the platform may exploit labor (similar to Amazon Mechanical Turk). Summary: The Web3 version of a data labeling factory earns hard-earned money but the demand is real. Operation Priority: Short-term profit: Rush into OpenLedger for mining and Vooi trading, low cost and transparent; Long-term layout: betting on Recall agent development to reap the benefits of the AI + DeFi track; Caution in the field: The input-output ratio of Sapien's human resources is questionable, beware of becoming a "digital tenant farmer."