EF执行董事亲自下场,I.R.I.S.能否扛起新叙事大旗?

Odaily星球日报Published on 2025-06-11Last updated on 2025-06-11

Abstract

不想做AI的花旗银行VP不是好的以太坊基金会执行主席。

近日,Virtuals Protocol 发布了一个 1 分半时长的视频,视频中以 Luna 为代表的形象冲向以太坊,其中还有 Vitalik 的雕塑形象以及 Virtual 另外一个知名形象 Aixbt 的围观。随即 Ethereum 的官方账号转发该视频,双方宣布正式开启合作。而首次上线 Genesis Launches 的以太坊项目 I.R.I.S 正是由 Ethereum Foundation 现任联合执行总裁 Tomasz K. Stańczak 创立的公司 Nethermind 开发的 AI 驱动的智能合约分析工具 AuditAgent 所驱动。

I.R.I.S 是什么?Tomasz K. Stańczak 又是谁?这可能会给以太坊带来什么样的影响?

I.R.I.S 是什么?

I.R.I.S.(全称为 Integrity & Risk Intelligence Scanner)由 Nethermind 推出的实验性自动化智能合约安全平台 AuditAgent 提供支持,原生部署于 X 平台,专为 Web3 构建者设计。她能够主动扫描开发者在社交媒体上的对话与代码,实时提供可操作的安全洞察,并发现潜在风险与新兴需求,从而帮助开发者在他们最常使用的环境中完成审计预筛、学习安全知识与识别业务机会。

EF执行董事亲自下场,I.R.I.S.能否扛起新叙事大旗?

不同于传统静态工具,I.R.I.S. 以 AI 驱动的智能体框架为核心,结合 Nethermind Security 的专业能力和真实审计数据,提供三大核心功能:AI 增强的智能合约扫描、可操作的漏洞报告与修复建议,以及关于安全最佳实践的实时教育。她并非替代人工审计,而是作为日常安全流程中的智能助手,能够在数分钟内完成基本扫描, 30-40 分钟内完成高级分析,并在 1.5 至 3 小时内完成深度研究,极大提升开发效率和产品安全性。

作为一名智能且不断进化的「安全助理」,I.R.I.S. 的优势来自于她对真实攻击案例和审计模式的理解、对代码与社交语境的上下文感知能力,以及接入 Nethermind 安全研究数据流的能力,使她能够紧跟最新威胁并提供高信噪比的漏洞识别。她的独特护城河在于,融合专有漏洞检测框架、多模型 AI 编排系统和社交平台原生集成,在速度、准确性与实用性方面形成明显领先。

团队 50% 的份额都会空投给社区, 2 年内线性释放空投给以太坊社区,而剩下 37.5% 将在 Gensis Launch 进行公售, 12.5% 将分配给 Virtual 以及以太坊的交易对流动性。EF执行董事亲自下场,I.R.I.S.能否扛起新叙事大旗?

值得注意的是,Nethermind 或者 AuditAgent 团队的成员在公开渠道均未声明该项目与团队本身有关,但 Virtuals Protocol 的核心项目 VaderAI 的创始人 Vader 表示「与 Nethermind 执行团队的密切消息人士告诉我,他们已经在这个代理上工作了一段时间」,而 Virtuals Protocol 的联合创始人 Wee Kee「everythingempt 0 」更是直言 IRIS 是 Virtuals 与 nethermind 联合发行的。

Vader 认为可能碍于 Tomasz K. Stańczak「@tkstanczak」在以太坊基金会的身份,不确定他是否会在这个 AI Agent 项目上冒着声誉的风险。但无论如何可以确认的 IRIS 作为第一个上线 Virtuals 的以太坊项目对双方来说都有着象征性的意义。

EF执行董事亲自下场,I.R.I.S.能否扛起新叙事大旗?

从辍学生到 EF 执行董事

Tomasz 在 2004 – 2009 年间就读于亚当·密茨凯维奇大学(AMU),并获得了信息技术硕士学位。与此同时又在 2005 – 2010 年期间就读于波兹南经济大学的商业管理专业,在波兰的教育体系中同时读两所大学并不少见。但在波兹南经济大学的最后一年他几乎没有去上过课,而最后当然也没有参与毕业论文。

事实上在波兹南经济大学毕业前的最后一年 Tomasz 加入了 Itelligence「现名 NTT」这是成立于 1989 年一家总部位于德国比勒费尔德的全球性 IT 服务与咨询公司,此时的 Tomasz 的工作内容是领导一个小型团队,为 MunichRe「一家德国保险公司」扩展承保平台 MRET 的应用程式,用于计算大型土木工程项目的保费,这是 MunichRe 最重要的 IT 项目之一,而可能也是工作繁忙导致他在波兹南大学的最后一年几乎没有时间去完成学业。

在 Itelligence 锻炼了一年半后 Tomasz 选择加入了 CME Group「芝加哥商品交易所」负责 CME Direct 交易平台的技术开发,仅仅 6 个月后他再次跳槽加入花旗银行,此后的 5 年时间 Tomasz 负责了一个又一个的团队项目,从技术总监一路做到 VP。

在离开花旗后的一年,在 2017 年他创立了为区块链和 DeFi 业务提供技术、研发和咨询服务团队 Nethermind,结合他此前传统金融以及咨询公司的经历,这个过程显得非常合理。

EF执行董事亲自下场,I.R.I.S.能否扛起新叙事大旗?

Tomasz 在 Nethermind 建立了一个高效的人才招聘和培训机制,打造了一个高功能的团队。他们不仅开发了高性能的以太坊执行客户端,还支持了工具如 Sedge(一键部署工具)和 Warp(Solidity 到 Cairo 转译器),以及 Layer 2 解决方案(如 Juno for Starknet),同时 Nethermind 团队深度参与了 The Merge、Shapella、Dencun 和 Pectra 等关键升级。

也从 2017 年开始 Tomasz 积极参与以太坊社区,作为 Flashbots 初期团队成员参与了 MEV 和 PBS 的研究,而后加入以太坊 Layer 2 StarkNet 的董事会,在机构级 KYC 供应商 Twinstake 担任 CEO,与此同时 Nethermind 的团队逐步扩大拥有超过 330 位成员,深度参与社区,多次在公开场合「EthCC、Devcon、X、技术文章」表达自己对以太坊社区的发展以及看法让他在社区内拥有不俗的号召力。

EF执行董事亲自下场,I.R.I.S.能否扛起新叙事大旗?

自特朗普政府上任后,区块链的模式已经与之前大相径庭,而以 Vitalik 为首的主张以太坊「去政府化」崇尚「密码朋克」以及主张支持与传统金融和企业合作推广「合规化」,以吸引资本和推动主流采用 Joseph Lubin 的派,两者的团队分歧也逐渐产生,而此时认同以太坊的去中心化和开源价值支持以太坊「全球中立」和「无需信任」的概念,同时又拥有相当丰富的传统金融的工作经历以及人脉,还十分懂技术的 Tomasz 似乎成为个中调和的不二人选。

2025 年 3 月 17 日,Tomasz K. Stańczak 正式担任以太坊基金会的联合执行董事,与 Hsiao-Wei Wang 共同领导。EF执行董事亲自下场,I.R.I.S.能否扛起新叙事大旗?

与 Virtuals 的合作对以太坊意味着什么?

2025 年 4 月 14 日,Tomasz 作为以太坊基金会的联合执行董事,在社交媒体 X 上分享了以太坊的简化路线图,明确将 AI 整合纳入长期目标。此前他也多次在演讲和 X 中提到 AI 可以作为长期吸引思考者以及创意人才的进入敞口。EF执行董事亲自下场,I.R.I.S.能否扛起新叙事大旗?

在 2025 年 3 月 12 日 Tomasz 在斯坦福 AI 区块链峰会上分享了对以太坊+AI 的未来畅想,此时的他刚刚被指派为以太坊的联合执行总裁,但还未上任。EF执行董事亲自下场,I.R.I.S.能否扛起新叙事大旗?

Tomasz 在 Stanford Blockchain AI Summit 讨论关于 AI + Blockchian

他在演讲中聊到多智能体 AI 的用处、区块链治理的演变,如何利用 AI 实现更智能的集体决策、以太坊相关应用、AI 的集体智能会如何通过数据分析和预测模型增强区块链网络的集体决策能力,减少人为干预,提升去中心化系统的可扩展性。EF执行董事亲自下场,I.R.I.S.能否扛起新叙事大旗?

不同于 Solana 与 Base,在以太坊上建立 AI 产品的项目方更是少之又少。可能正因如此 Tomasz K. Stańczak 在 2025 年 5 月 7 日 与 Gökhan 和 Nethermind 团队共同创立了 Lantern Capital,这是一家早期风险投资公司。Lantern Capital 专注于支持创始人开发下一代应用和体验,使 AI 系统能够有效地与区块链技术交互。

Lantern Capital 的重点放在探索 AI 如何在区块链上实现可靠的协作,例如通过以太坊网络支持 AI 代理(AI agents)的运行。以及提升 Agent 体验(AX),优化 AI 代理在区块链环境中的用户体验。同时确保底层区块链基础设施能够可靠地支持动态 AI 用例。Tomasz 将以太坊视为这一愿景的核心,强调 AI 与区块链的结合可以创造新的去中心化应用场景,例如自主机器和智能合约的协同工作。

EF执行董事亲自下场,I.R.I.S.能否扛起新叙事大旗?

尽管如此,从零开始在以太坊上构建一套完整的 AI 生态体系周期过长、成本高昂。而通过接入 Virtuals 协议,以太坊能够直接引入一套成熟的代币经济系统,涵盖 AI 智能体的创建、积分机制、交易与共同所有权等核心功能,为用户和开发者带来全新的收益模式与交互机会。

Agent 的代币化不仅实现了收益共享,激励更多用户参与并共建新兴的去中心化应用生态,也通过实际经济回报反哺整个以太坊网络。借助 Virtuals,AI Agent 在以太坊上变得更具可组合性和可盈利性,显著扩展了 DeFi、链游以及下一代 DApp 的创新边界,进一步推动用户参与度和开发者活跃度的双重提升。

Ethereum 高流动性、机构化抗风险的体系加之 Virtuals 当前强大的生态体系是否能让 AI 应用成为 Ethereum 下一阶段的新叙事?

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Below is a suggested timeline mapping significant events in the evolution of SPERO,$$s$: Conceptualisation and Ideation Phase: The initial ideas forming the basis of SPERO,$$s$ were conceived, aligning closely with the principles of decentralisation and community focus within the blockchain industry. Launch of Project Whitepaper: Following the conceptual phase, a comprehensive whitepaper detailing the vision, goals, and technological infrastructure of SPERO,$$s$ was released to garner community interest and feedback. Community Building and Early Engagements: Active outreach efforts were made to build a community of early adopters and potential investors, facilitating discussions around the project’s goals and garnering support. Token Generation Event: SPERO,$$s$ conducted a token generation event (TGE) to distribute its native tokens to early supporters and establish initial liquidity within the ecosystem. Launch of Initial dApp: The first decentralised application (dApp) associated with SPERO,$$s$ went live, allowing users to engage with the platform's core functionalities. Ongoing Development and Partnerships: Continuous updates and enhancements to the project's offerings, including strategic partnerships with other players in the blockchain space, have shaped SPERO,$$s$ into a competitive and evolving player in the crypto market. Conclusion SPERO,$$s$ stands as a testament to the potential of web3 and cryptocurrency to revolutionise financial systems and empower individuals. With a commitment to decentralised governance, community engagement, and innovatively designed functionalities, it paves the way toward a more inclusive financial landscape. As with any investment in the rapidly evolving crypto space, potential investors and users are encouraged to research thoroughly and engage thoughtfully with the ongoing developments within SPERO,$$s$. The project showcases the innovative spirit of the crypto industry, inviting further exploration into its myriad possibilities. While the journey of SPERO,$$s$ is still unfolding, its foundational principles may indeed influence the future of how we interact with technology, finance, and each other in interconnected digital ecosystems.

65 Total ViewsPublished 2024.12.17Updated 2024.12.17

What is $S$

What is AGENT S

Agent S: The Future of Autonomous Interaction in Web3 Introduction In the ever-evolving landscape of Web3 and cryptocurrency, innovations are constantly redefining how individuals interact with digital platforms. One such pioneering project, Agent S, promises to revolutionise human-computer interaction through its open agentic framework. By paving the way for autonomous interactions, Agent S aims to simplify complex tasks, offering transformative applications in artificial intelligence (AI). This detailed exploration will delve into the project's intricacies, its unique features, and the implications for the cryptocurrency domain. What is Agent S? Agent S stands as a groundbreaking open agentic framework, specifically designed to tackle three fundamental challenges in the automation of computer tasks: Acquiring Domain-Specific Knowledge: The framework intelligently learns from various external knowledge sources and internal experiences. This dual approach empowers it to build a rich repository of domain-specific knowledge, enhancing its performance in task execution. Planning Over Long Task Horizons: Agent S employs experience-augmented hierarchical planning, a strategic approach that facilitates efficient breakdown and execution of intricate tasks. This feature significantly enhances its ability to manage multiple subtasks efficiently and effectively. Handling Dynamic, Non-Uniform Interfaces: The project introduces the Agent-Computer Interface (ACI), an innovative solution that enhances the interaction between agents and users. Utilizing Multimodal Large Language Models (MLLMs), Agent S can navigate and manipulate diverse graphical user interfaces seamlessly. Through these pioneering features, Agent S provides a robust framework that addresses the complexities involved in automating human interaction with machines, setting the stage for myriad applications in AI and beyond. Who is the Creator of Agent S? While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. 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.

741 Total ViewsPublished 2025.01.14Updated 2025.01.14

What is AGENT S

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