Foresight News reports that USD.AI has launched a Level Up mechanism. Allo Game participants can meet certain scores by locking Pendle YT to earn corresponding rights. The CHIP token ICO will be open on CoinList from February 22 to 27, with a FDV of $300 million.
The ICO paths include: Boost strategy (lock for 4 months with the right to a full refund at a $300 million FDV at any time, and enjoy a discounted valuation of $270 million if held until maturity); Max strategy (lock for 8 months with the right to a full refund at a $300 million FDV, and enjoy a discounted valuation of $190 million if held until maturity). Both strategies also earn second-season points.
Airdrop paths include: Boost strategy (4-month lock with a valuation realization of $350 million); Max strategy (8-month lock with a valuation realization of $420 million). These paths differ from the ICO paths, and once users choose, it cannot be reversed. Users will spend points to exchange for fixed returns. During the lock period, PT can still be used for other DeFi activities. Additionally, in the final week of Allo Game, the YT multiplier for USDai and sUSDai will be increased to 60x.
Disclaimer: The information on this page may come from third parties and does not represent the views or opinions of Gate. The content displayed on this page is for reference only and does not constitute any financial, investment, or legal advice. Gate does not guarantee the accuracy or completeness of the information and shall not be liable for any losses arising from the use of this information. Virtual asset investments carry high risks and are subject to significant price volatility. You may lose all of your invested principal. Please fully understand the relevant risks and make prudent decisions based on your own financial situation and risk tolerance. For details, please refer to
Disclaimer.
Related Articles
BTQ Launches Quantum-Resistant Bitcoin Testnet With BIP 360
BTQ Technologies has launched the first working implementation of BIP 360 on its Bitcoin Quantum testnet. The update allows developers to test quantum-resistant bitcoin transactions in a live environment.
Bitcoin Quantum Testnet Debuts BIP 360 Implementation
BTQ Technologies has introduced Bitco
Coinpedia24m ago
Understanding Stablecoins from Circle CEO Interview: Why It's Not a Crypto Asset, But a Network Money Protocol?
Circle Completes IPO, Jeremy Allaire Emphasizes Stablecoins Still in Early Stage, Targeting to Build Digital Dollar Network Infrastructure and Next-Generation Financial Platform.
Editor's Note: In 2025, stablecoin issuer Circle completed its IPO, becoming one of the most closely watched listing cases in the crypto industry in recent years. As the issuer of USDC, Circle is attempting to promote stablecoins from a trading tool in the crypto market to a digital dollar infrastructure capable of circulating in networks.
In "The David
CryptoCity2h ago
Zhipu's leader announces that GLM-5.1 will be open-sourced.
Gate News, on March 21, Zhipu Z.ai global head Li Zixuan posted on the X platform stating: "Don't panic. GLM-5.1 will be open source." (Don't panic, GLM-5.1 will be open source.) The release date and specific details of the model have not yet been disclosed.
GateNews4h ago
Bitmine stakes 101,776 ETH, worth nearly $220 million
Gate News report: On March 21st, according to Onchain Lens monitoring, Ethereum treasury company Bitmine has staked 101,776 ETH, valued at $219.45 million. Bitmine has now cumulatively staked 3,142,291 ETH, valued at $6.75 billion.
GateNews5h ago
Virtuals Protocol And Ripple-Backed T54 Labs To Bring AI Agents To XRP Ledger
Virtuals Protocol, partnering with t54 Labs, plans to launch AI agents on the XRP Ledger, enabling autonomous transactions. The crypto community is excited about this innovation, which could significantly enhance XRPL's capabilities in finance, despite some concerns about risks and oracle dependencies.
Blockzeit5h ago
Tether Launches BitNet LoRA Framework Across Platforms
Tether's QVAC Fabric introduces the BitNet LoRA framework, enabling AI model training on consumer devices with reduced VRAM needs and improved performance. Users can fine-tune large models on smartphones, making AI development more accessible and efficient.
CryptoFrontNews9h ago