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xPoints上線：了解Byreal在積分計劃中的核心角色…
- xStocks積分計劃xPoints正式上線，提供早期參與紅利，用戶可通過多種方式累積積分。
- Byreal作為官方支持池，提供流動性是獲取最高xPoints倍率的關鍵途徑，資本效率高。
- 用戶可通過Byreal的CLI技能進行命令行交互操作，適合有技術背景的玩家提升參與深度。
能立刻看的入口：在Byreal提供流動性（LP），以獲取最高xPoints權重和交易手續費收益。 / 通過Byreal或Bybi進行換幣，快速上車參與積分計劃。

No $WC team reserve — can the franchise system really forge a new path?
- Thousands Protocol ($WC) will officially launch on Arbitrum and begin public trading on March 26, with the project led by Paradigm and raising $55 million.
- The project adopts a 100% community distribution model with a total supply of 88,888,888 tokens, featuring no team, VC, pre-mining, or private sale allocations, along with a deflationary mechanism with automatic weekly burns.
- The core mechanism is the Franchise system, which allows users' content, communities, or assets to directly generate USDC cash flows.
If you

解讀RISE的流動性設計：為何說它的地板價有真實支撐？
- RISE協議採用協議自有流動性機制，流動性由協議自身控制，外部LP無法隨意撤資，從根本上杜絕rug pull風險。
- 通過流動性再分配機制，每筆交易和借貸都會將價值沉澱到資金池，持續增強底部流動性，使地板價由機制支撐而非情緒炒作。
- 提供0利息且無清算風險的代幣借貸功能，使用者可用代幣借款避免爆倉，項目方無需因缺錢而拋售代幣，將代幣轉化為實用金融工具。

Want to get the highest tier points? Providing liquidity is the key.
- xStocks officially launches the xPoints scoring system, allowing users to earn points through three methods: holding, lending, and providing liquidity, with weights increasing progressively.
- The points system is widely interpreted by the market as a potential credential for future airdrops, attracting users to deeply participate in the ecosystem to accumulate early benefits.
- Providing liquidity (LP) is the key to obtaining the highest tier points. Byreal, as one of the first supported on-chain protocols, has become the

在Byreal做LP，如何同时赚手续费和最高档积分？
- xStocks正式上线xPoints积分体系，通过持有、借贷和提供流动性三种方式获取积分，权重依次递增。
- 提供流动性（LP）是获取最高档位积分的关键，首批支持的协议包括Byreal、Orca和Raydium，其中Byreal是首批接入的链上协议。
- 在Byreal上为xStocks（如Qx、NVDAx、TSLAx等13种资产）提供LP，可同时赚取交易手续费和最高档位的xPoints积分加成。
如果想跟：持有xStocks：买入并持有，持仓数量越多、时间越长，获得的基础积分越多。 / 借贷xStocks：将资产存入Kamino等借贷池，根据借贷规模获取进阶积分。

OpenAI @OpenAI officially released GPT5.4 mini model, now integrated into ChatGPT, Codex and API
OpenAI @OpenAI's latest GPT5.4 mini model has been launched on ChatGPT, Codex and API. The model is optimized for efficiency, aimed at providing developers and users with a lighter and faster inference experience, further enriching its product matrix.

March 18 24H AI News Digest
1. Anthropic @AnthropicAI's comprehensive shift to Claude MAX subscription has triggered chain reactions, causing multiple Agent service API failures and raising user concerns about service stability.
2. OpenAI @OpenAI officially launches GPT5.4 mini model, now integrated into ChatGPT, Codex, and API, focusing on lightweight and fast inference to optimize developer experience.
3. Open-source tool Jellyfish released, enabling one-click conversion of scripts to storyboards while maintaining character and scene consistency, aiming to significantly lower the barriers to

March 18 Highlights 8 @perlelabs
I. Highlights
1. PerleLabs' $PRL token has been officially added to Coinbase's listing roadmap, marking important recognition from a mainstream trading platform.
2. The project has completed its first quarter snapshot, potentially laying the foundation for subsequent token distribution or airdrop activities.
3. The project is positioned as a human-verified embodied intelligent AI data network and has secured $17.5 million in funding led by CoinFund and Framework Ventures.
4. The $PRL token has a total supply of 1 billion, with its smart contract already deplo

March 18 Hot Topics 6 @termmaxfi
1. Hot Topics
1、TermMaxFi project will launch TMX token pre-auction and Pre-TGE activities on Aspecta BuildKey at 17:00 Beijing time on March 18, marking the countdown phase to TGE.
2、The project provides a revenue strategy independent of price appreciation in bear markets or sideways consolidation, generating returns by utilizing time value or volatility premium, solving the pain point of idle spot funds.
3、The project has secured $6 million in financing and is advancing TGE as planned despite unfavorable market conditions, demonstrating strong execution capab

March 18 Hot Topics 3 @opensea
1. Hot Points
1. OpenSea announced further postponement of platform token issuance with no specific timeline, but committed to compensating users including refunding transaction fees and providing 60 days of zero-fee trading.
2. Founders stated that token issuance has only one opportunity and needs to wait for better conditions. The market speculates it may be waiting for OS2 perpetual futures and AI tools to launch to attract liquidity.
3. Some views suggest OpenSea has missed the optimal timing for token launch. If issued early, market valuation could have reac

First Medical Robotics Dataset and Foundational Physics AI Model Released
A research team has released the first dataset specifically focused on the medical robotics field. Additionally, they have introduced a series of foundational physics AI models for medical robotics, aimed at advancing intelligent development in this domain.

Mistral @MistralAI AI發布Mistral Small 4：1190億參數MoE模型
Mistral @MistralAI AI推出了全新的Mistral Small 4模型。該模型採用混合專家架構，參數量達到1190億，旨在以更高效率實現強大的性能表現。

March 17 Highlights 2 @worldlibertyfi
1. Highlights
1. USD1 has partnered with MYRIAD prediction market to become the sole stablecoin for all trading, pricing, and settlement on the platform.
2. MYRIAD will restructure its entire prediction market experience around USD1, aiming to reduce trading friction costs and enhance liquidity.
3. This partnership marks USD1's upgrade from a payment tool to a core settlement layer and pricing benchmark within a specific ecosystem.
4. By entering the prediction market track, USD1 is gradually expanding its real-world application scenarios and adoption acro

AI 取代房产中介？用户借 ChatGPT @OpenAI 五天成功售房引热議
一則美國佛羅里達州居民僅用 ChatGPT @OpenAI 在五天內獨立賣掉房產的案例引發廣泛討論。這加劇了關於 AI 是否將取代房地產銷售等職業的辯論，展示了 AI 在具體場景中的強大應用潛力。

Open Source AI Drives Revolution in Automated Trading, Users No Longer Need to Manually Write Complex Code
The development of open source AI is transforming the field of automated trading. Users are discovering that with the help of relevant tools, implementing quantitative trading or automated market monitoring no longer requires writing tedious scripts and debugging APIs themselves, which significantly lowers technical barriers and improves efficiency.