Arbitrum系项目撒钱启动,激励计划与力度详解

Odaily星球日报Published on 2023-11-08Last updated on 2023-11-08

Abstract

撒钱计划+质押奖励,Make Arbitrum Great Again。

原创 | Odaily星球日报

作者 | 南枳

Arbitrum系项目撒钱启动,激励计划与力度详解

10 月 13 日,Arbitrum 启动的短期激励计划(STIP)首轮投票完成,参与投票的 95 个项目中有 29 个项目入选。

本次投票进行首次筛选,后续次轮投票完成终选后,Arbitrum 将向所有符合条件的项目分配最多 5000 万枚 ARB 的激励资金,从而刺激生态活跃度,吸引更多用户及流动性。

(补充阅读:《“ 5000 万 ARB”争夺战打响, 95 家项目谁能脱颖而出?》)

今日,Arbitrum DAO 发起“为 STIP 提案提供资金支持”草案投票,拟将预算增至 7140 万枚 ARB,投票将于 6 天后结束,支持率目前为 93.94% 。

另一方面 flipside 数据显示,今日部分项目已开始提取资金,约有 288 万枚 ARB 已被申领。

Arbitrum系项目撒钱启动,激励计划与力度详解

哪些项目即将开始“撒钱”行动,其激励力度如何,Odaily 将于下文分类介绍。

短期激励计划 STIP

GMX——短平快

11 月 7 日,GMX 宣布,其在 STIP 计划下的提案为 Arbitrum DAO 接受,将启动 1200 万枚 ARB 的短期激励计划,这些代币将在 12 周内用于流动性和交易对激励。

  • 开发激励:最多 200 万枚 ARB 用于其他开发者与协议的赠款激励,以 GMX V2为基础,促进 Arbitrum 发展;

  • 流动性激励:对 GM 流动性性提供者的奖励,迁移 GLP 流动性至 GM 资金池的激励;

  • 交易激励:在 GMX 交易时,将获得 ARB 代币交易费回扣;

  • 赠款激励分为三类:小额赠款预算不超过 1 万枚;公开赠款预算最高可达 10 万枚;以及满足特定需求的赠款。

Pendle——面向治理分配

11 月 7 日,Pendle 宣布,从 11 月 9 日开始,用户使用 Pendle 时可获得额外 ARB 奖励,具体内容包括:

  • 只有 Arbitrum 矿池才有资格获得 ARB 奖励,各 Arbitrum 的流动性池中的 LP 都将获得额外 ARB 奖励;

  • 与 PENDLE 激励类似,ARB 池分配将每周由 vePENDLE 投票决定;

  • 此外,Pendle 还将于 11 月 16 日推出 Arbitrum Season 仪表盘,用于监控每周费用奖励上限,以及领取情况。

Radiant Capital——遵循传统

11 月 7 日,Radiant Capital 宣布,Radiant 的 STIP 激励提案已获 Arbitrum DAO 批准,将空投最多 200 万枚 ARB 给 dLP 长期锁仓用户。

符合空投条件的 dLP 必须在第一次快照(区块 147753665)之后和第二次快照(未来 30-90 天内)之前在 Arbitrum 和 BNB Chain 上锁仓 6-12 个月,将根据达到的 TVL 分享最多 200 万枚 ARB。

申领将在 2024 年 1 月 31 日之前结束,Magpie 和 PlutusDAO 等新 dLP 将酌情分配。

Kyber Network——尚未揭晓

11 月 6 日,Kyber 宣布通过 Arbitrum 的 STIP 成功申请额外的 ARB 拨款,Kyber 表示“正在准备下一步行动,深化流动性、提高交易效率和加强 Arbitrum 生态系统“,但未进一步宣布具体的激励计划。

其他激励计划

Arbitrum——小额 grant

Arbitrum 宣布将推出三项 grant 计划,分别是:

  • Arbitrum Citizens Retrofunding Round #1 :主要面向为 Arbitrum DAO 治理和流程做出贡献、有影响力的社区用户,总计将分配 10 万枚 ARB 奖励,计划 11 月 15 日正式启动;

  • Arbitrum on Gitcoin Matching Fest:将提供 30 万枚 ARB 奖励,主要针对通过 Gitcoin 协议为 Arbitrum One 提供支持的用户;

  • Arbitrum on Allo Hackathon:总计提供 10 万枚 ARB 奖励,主要面向致力于创建未来数据结构和工具的构建者。

Radiant Capital

11 月 2 日多链借贷协议 Radiant Capital 宣布上线以太坊,由 LayerZero LabsStargateBalancer 提供支持。

50 万枚 ARB 将空投至主网上所有 6-12 个月的 dLP 锁仓者,Starfleet season 2 的第一次快照从以太坊区块高度 18479253 开始。快照窗口将在 30-60 天内结束,为了防止操纵,快照窗口的确切持续时间将保持不公开,直至结束。

目前以太坊上已锁定 100 万 dLP, 50 万枚 ARB 即将分发。Radiant Capital 指出,本次活动与 Radiant 最近获得 Arbitrum 基金会短期激励计划的资格无关,使用 2023 年 3 月收到的初始 ARB 的剩余部分。

Make Arbitrum Great Again

近期,Arbitrum 在 Snapshot 上通过了 ARB 质押提案,后续将在 Tally 进行为期 14 天的投票,预计将为 ARB 持有者带来 1 亿枚 ARB 的质押奖励,配合各项目的“撒钱”激励,或将带来其生态的进一步成长。

Related Reads

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

NEAR Returns to AI Origins: From Payroll Struggles to Blockchain, Now Focusing on AI Agents and Privacy NEAR Protocol's journey began not with grand blockchain ambitions, but from a practical hurdle: its AI startup founders, including Transformer paper co-author Illia Polosukhin, couldn't efficiently pay international developers in 2017. This led them to pivot and build a high-performance, scalable blockchain. After years navigating various crypto narratives like sharding and cross-chain interoperability, NEAR is now leveraging its AI roots to re-enter the AI arena. A key driver is its "NEAR Intents" layer, which abstracts complex cross-chain transactions. Users simply state their goal (e.g., swap BTC for ETH), and a solver network finds the optimal route. This system has processed over $20B in cross-chain volume, generating significant fee revenue. A major growth area is private transactions via "Confidential Intents/Swaps," which hide trade details until settlement to protect against MEV and front-running. Remarkably, private swaps recently accounted for over 40% of NEAR's transaction volume, highlighting strong demand but also potential regulatory scrutiny. With its AI-founder pedigree, NEAR is positioning itself at the intersection of blockchain, AI agents, and privacy, aiming to become infrastructure for the emerging agent economy while navigating the challenges of its rapid adoption.

marsbit1h ago

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

marsbit1h ago

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

In recent discussions, Vitalik Buterin has frequently emphasized the concept of "CROPS," a framework defining core values for Ethereum's development. CROPS stands for Censorship Resistance, Capture Resistance, Open Source, Privacy, and Security. Initially outlined in the Ethereum Foundation's "EF Mandate," it represents a commitment to user sovereignty, ensuring that the network resists external control, remains open, protects privacy, and prioritizes security. The relevance of CROPS extends beyond Ethereum's foundational principles, becoming crucial in the context of AI integration. As AI agents begin handling wallet operations and automated transactions, the risk increases that users may cede control over their digital assets, privacy, and intentions to centralized AI service providers. A "CROPS AI" would therefore emphasize local execution where possible, privacy-preserving remote model calls (e.g., using zero-knowledge proofs), and transparent, verifiable processes to maintain user agency. Vitalik highlights a significant convergence between "CROPS Ethereum access layer" and "CROPS AI." Both address the same fundamental challenge: how users can access powerful services—be it blockchain data via RPCs or AI models—without exposing sensitive information or relinquishing ultimate control. This intersection points toward a future digital entry point that is more private, secure, and user-controlled. Ultimately, CROPS is not merely an abstract ideal but a practical guidepost. It steers development—from protocol resilience and wallet design to AI agent safety—towards a future where users retain self-sovereignty even as digital systems grow more complex and powerful. In an era of accelerating AI adoption, these "slow variables" of censorship resistance, openness, privacy, and security may define Ethereum's enduring value.

marsbit1h ago

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

marsbit1h ago

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbit3h ago

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbit3h ago

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbit3h ago

Token Inefficient, Economy Tokenless

marsbit3h ago

Trading

Spot
Futures
活动图片