一个月 TVL 增加 130%,Sonic 上面有什么好玩的?

MarsBitPublished on 2025-03-31Last updated on 2025-04-01

Abstract

Petroleum City 以「生产 cOIL → 修理帮浦 → 提炼为 $OIL → 重复投资升级」为核心循环。玩家需要合理规划生产、提炼与升级策略,才能稳定获取收益并扩大资产。

最近市场处于叙事真空期,迷因熄火,Solana 链上活动锐减,大部分山寨币种更是在三个月内动辄下跌超过 80%,但是仍有一条公链在一个月内 TVL 增长超过 130%,位居所有公链第一,那就是 Sonic。


Sonic 最近有哪些活动?当中又有什么重点项目值得关注?就让 WOO X Research 带大家看看!

策略




Sonic 是什么?最近的空投活动是什么


Sonic 的前身是 Fantom,而 Fantom 是 2019 年推出的 Layer 1 公链,专注于 DeFi 和 dApp, 曾在2021-2022年红极一时,巅峰时期 TVL 达到 80 亿左右。 2022 年 AC 宣布暂时退出 DeFi 产业,市场对 Fantom 信心下降;2023 年 7 月合作跨链桥 Multichain 发生漏洞,Fantom上由该桥接合约发行的稳定币(USDC-MULTI、fUSDT-MULTI等)出现大幅脱锚,影响了整个生态系统的稳定性和信任度。在此背景下 Fantom 提出升级到 Sonic。


Sonic 宣布将发行总量为 1.905 亿枚的 S 代币,这些代币的奖励机制分为两部分:25% 的奖励可立即提取,而其余的 75% 将以可交易的 NFT 形式逐步释放。用户可透过两种途径获取资格:

  • Points(面向网络参与者)
  • Gems(针对开发者)。这些途径的回报潜力,可能远超出一般的投机性空投。

而 Sonic Points 是用户导向的空投点数,分为被动积分和活动积分。在 Web3 钱包中持有白名单资产可获得被动积分,在应用程式中部署白名单资产可获得活动积分;WETH、SolvBTC 和 SolvBTC.BBN 只能获得活动积分。活跃积分的收益是被动积分的两倍。


Sonic 热门项目


羊币(@SheepCoin69)

策略


Sonic 狼羊游戏是一个结合区块链资产管理、NFT 机制与 DeFi 协议的策略性游戏生态系统。玩家可以透过购买、铸造、保护与攻击资产,来建立自己的优势并获取收益。


购买 Sheep Coin:玩家可以使用 $S 以 1:1 的比例购买 Sheep Coin。这个过程中,95% 的 Sonic Token 会提供给 Sheep Coin 作为流动性。上线后,Sheep Coin 可以自由交易。


铸造 Wolf NFTs:玩家可以使用 Sheep Coin 和 $S 来铸造 Wolf NFT。每次铸造的成本会随次数递增(第 1 只需要 1 枚 Sheep、第 2 只需要 2 枚 Sheep,以此类推),而且所有用来铸造的 Sheep Coin 都会被永久销毁。这意味着每次铸造都会减少总供应量。


Wolf NFT 机制Wolf NFTs 是游戏中具有攻击性质的资产,它们的行为模式如下:

  • 每只 Wolf 每天都需要吃 Sheep,消耗量随着天数增加(第一天 1 枚、第二天 2 枚,以此类推)。
  • 如果 Wolf 连续 7 天没有吃到 Sheep,将变得无法再使用(推测为无法产生收益或参与游戏)。

Wolf 可以透过两种方式进食:

  • 流动性池: 若从流动性池中吃 Sheep,100% 的 Sheep 将被销毁。每只 Wolf 最多只能从流动性池中吃 3 次。
  • 钱包 (自己的或别人的): 若从钱包中吃 Sheep,25% 的 Sheep 会给予 Wolf 拥有者,其余 75% 被销毁。

牧羊犬保护机制:玩家可以将自己的 Sheep 存入 Sheep Dog 以进行保护。要取出时,玩家必须启动「睡眠模式」,等待 2 天并支付手续费。
牧羊犬奖励机制存放在牧羊犬里的 Sheep 可以透过年化收益率 (APR) 获得 S 的奖励。此外,玩家取出资产时支付的手续费也会作为奖励的一部分。


以下是对游戏的解读


核心理念:透过「狼吃羊」导致羊持续通缩,从而推升币价

  • 尽管羊数量会逐步锐减,但流动性池中所配置的 Sonic Token 并不会减少,这意味着持有羊的价值有机会稳定上涨。然而,玩家仍需承担被狼攻击的风险。

关于狼:高成本、高风险却也有潜在的高收益

  • 狼的铸造成本会因铸造次序不同而逐渐上升,且能否获利很大程度取决于能否吃到其他玩家的羊。如果狼长期无法进食或狼被饿死,就可能导致投资失利。
  • 如果市面上同时有大量狼出现,夺羊战况将更加激烈;但若狼数量有限,羊被销毁的速度也不一定能支撑狼的快速回本。

牧羊犬:用每日租金维护,换取安全和额外收益

  • 每天需支付固定 10 枚 S 作为租金,当中的 95% 将回馈给大家当作 APY。如果手中的羊量太少,租金就难以回本;但如果羊数量充足,守护羊随时间升值会更具吸引力。
  • 牧羊犬的存在是为了避免羊被吃,并从持续增值的羊中获得额外获利。

博弈问题一:是否值得投入铸造狼?

  • 狼的铸造费在玩家之间存在竞争关系,越早抢铸虽能取得优势,但同时必须考量到竞争激烈度与高昂的成本。
  • 狼的进食策略至关重要:短期内快速进食可加速回本,但也会使狼对羊的需求迅速飙升。若进食节奏缓慢,虽可延长狼的存活与活动空间,回本所需时间也会更久。
  • 由于羊会因通缩而逐步升值,后期吃一只羊的收益不一定比前期更差,因而「何时进食」是一大战略考量。

博弈问题二:是否要租用牧羊犬?

  • 无论玩家拥有多少羊,都需要支付同等的租金。若要靠 APY 把这笔租金赚回来,需要相对大量的羊才能摊平成本。
  • 牧羊犬的实质功能,在于保障羊不被狼吃掉,同时享受羊币涨价的优势。

可能出现的状况与对应策略

  • 由于狼成本与不确定性都很高,也许不会有大量玩家抢着铸造狼;当狼相对稀少时,羊被销毁的速度变慢,狼的获利周期可能被延后。
  • 如果大家都选择不用牧羊犬,各自便可能把羊分散到多个钱包,企图降低被锁定攻击的风险。
  • 游戏中并没有固定的「最佳解」,因为市场与玩家行动会随时变化;要最终获利,需要持续关注生态动态并灵活调整策略。

Petroleum Finance(@Petroleum_Defi)
Petroleum City 是一款以石油开采为主题的区块链游戏。玩家透过建造、升级与管理帮浦(Pumps)来提炼原油(cOIL),并转换为可交易的 $OIL,以获取收益。以下是游戏的核心机制:
1. 购买土地(Buy a plot)

  • 每个玩家可以购买并自订自己的地块来建立石油帝国。
  • 地块可透过添加帮浦、装饰物等方式来提升产能。

2. 购买帮浦(Buy some Pumps)

  • 帮浦是游戏的核心生产工具,每个帮浦会持续自动产出 cOIL(原油)。
  • 帮浦可以升级来提升产量,但随着时间会逐渐 衰退(Decay),需用 cOIL 进行修理才能持续生产。

3. 添加装饰物(Add decorations)

  • 玩家可以装饰地块来提升外观与个人风格。
  • 可透过 App 或 Discord 提出新装饰物的建议。

4. 提炼 cOIL(Refine your $cOIL)

  • 产出的 cOIL 必须经过「炼油厂(Refinery)」提炼后才能成为可交易的 $OIL。
  • 提炼的锁定期与税率如下:
  • 0 - 1 天:无法提领。
  • 1 - 2 天:提领需支付 10% 税。
  • 2 - 3 天:提领需支付 5% 税。
  • 3 天以上:免税提领。
  • 提炼时间越长,收益越高。

测略与建议

  1. 确保持续生产: 保留足够 cOIL 用于修理帮浦,避免产油中断。
  2. 优化提炼策略: 尽量等到 3 天后提领 $OIL,以免被收取高额税金。
  3. 升级与装饰平衡: 同时提升帮浦产能与装饰效果,增加整体产量。

Petroleum City 以「生产 cOIL → 修理帮浦 → 提炼为 $OIL → 重复投资升级」为核心循环。玩家需要合理规划生产、提炼与升级策略,才能稳定获取收益并扩大资产。

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Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

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