VIRTUAL запускает I.R.I.S. на Ethereum: что стоит за первым ИИ-агентом платформы

cryptonews.ruPublished on 2023-11-12Last updated on 2025-06-12

ИИ-лаунчпад Virtuals Protocol (тикер: VIRTUAL) прибавил 7% в цене на фоне ажиотажа вокруг запуска своего первого автономного агента I.R.I.S. в основной сети Ethereum. Публичная продажа токена I.R.I.S. оказалась горячо востребованной — на момент публикации она была переподписана на 1500%, при том что до завершения оставалось около 16 часов.

I.R.I.S. — результат сотрудничества между самой платформой Virtuals, курирующей запуск, дистрибуцию токенов и развитие экосистемы, и Nethermind, разработавшей архитектуру агента и отвечающей за безопасность на уровне блокчейна. Напомним, Nethermind — это команда, основанная Томашем Станчаком, недавно назначенным сопредседателем Ethereum Foundation.

Главной фичей нового агента станет AuditAgent — автоматизированная платформа для анализа смарт-контрактов на предмет уязвимостей. Помимо этого, I.R.I.S. будет мониторить социальные медиа и комбинировать данные с обеих сторон, чтобы в реальном времени вылавливать потенциальные угрозы.

По словам аналитиков Messari, переход Virtuals от Base к Ethereum с запуском I.R.I.S. — важный этап масштабирования экосистемы. В посте от 10 июня на X (Twitter) также упоминается, что проект имеет партнёрства с Amazon Web Services (AWS), уже демонстрирует выручку на уровне $600 тысяч в месяц и намекает на возможную экспансию в блокчейны вроде Aptos.

VIRTUAL на подъёме, но до хайов ещё далеко

Токен VIRTUAL сейчас торгуется по $2.20 — +7% за сутки, но всё ещё значительно ниже январского all-time high в $5.07, согласно данным CoinGecko. Рыночная капитализация проекта приближается к $1.3 млрд, чему способствовал 130% рост в конце апреля – начале мая после анонса переработанного механизма Genesis-запусков.

Параллельно развивается и экосистема VaderAI — ещё одного ИИ-агента от Virtuals, специализирующегося на создании автономных хедж-фондов. В описании проекта говорится, что Vader работает на стыке DeFi, гейминга и ИИ, а сам себя позиционирует как «BlackRock для ончейн-финансов».

Yapping пошёл в рост — больше баллов, больше дропа

9 июня Virtuals расширил механику Yapping (аналог крауд-маркетинга в соцсетях) с основного протокола на VaderAI. Теперь за участие в соцактивностях (публикации с упоминаниями Virtuals и связанных токенов) пользователи могут зарабатывать Virgen-поинты.

На текущий момент Yappers (участники программы) получают 2% Virgen-поинтов от Virtuals и дополнительно 1% от VaderAI. Более того, они получат 20% от наград из стейкерского пула аирдропа. В пуле Vader Rewards сейчас представлено 18 токенов, а сам раздачный марафон стартует в середине-конце июня и будет продолжаться в течение следующего года.

Чтобы участвовать в системе Yapping, нужно подключить свой X-аккаунт на сайте Vader, застейкать минимум 10,000 VADER на срок в год и правильно тегать свои посты.

По данным CoinGecko, токен VADER вырос на 71% за последнюю неделю — волна интереса явно только набирает обороты.

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EVM Compatibility: Developers can effortlessly migrate decentralised applications from EVM chains to the Solana environment using Sonic’s HyperGrid interpreter, increasing the accessibility and integration of various dApps. Ecosystem Support for Developers: By exposing native composable gaming primitives, Sonic facilitates a sandbox-like environment where developers can experiment and implement business logic, greatly enhancing the overall development experience. Monetisation Infrastructure: Sonic natively supports growth and monetisation efforts, providing frameworks for traffic generation, payments, and settlements, thereby ensuring that gaming projects are not only viable but also sustainable financially. Timeline of Sonic The evolution of Sonic has been marked by several key milestones. 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At its core, SPERO,$$s$ aims to empower individuals by providing tools and platforms that enhance user experience in the cryptocurrency space. This includes enabling more flexible transaction methods, fostering community-driven initiatives, and creating pathways for financial opportunities through decentralised applications (dApps). The underlying vision of SPERO,$$s$ revolves around inclusiveness, aiming to bridge gaps within traditional finance while harnessing the benefits of blockchain technology. Who is the Creator of SPERO,$$s$? The identity of the creator of SPERO,$$s$ remains somewhat obscure, as there are limited publicly available resources providing detailed background information on its founder(s). This lack of transparency can stem from the project's commitment to decentralisation—an ethos that many web3 projects share, prioritising collective contributions over individual recognition. By centring discussions around the community and its collective goals, SPERO,$$s$ embodies the essence of empowerment without singling out specific individuals. As such, understanding the ethos and mission of SPERO remains more important than identifying a singular creator. Who are the Investors of SPERO,$$s$? SPERO,$$s$ is supported by a diverse array of investors ranging from venture capitalists to angel investors dedicated to fostering innovation in the crypto sector. The focus of these investors generally aligns with SPERO's mission—prioritising projects that promise societal technological advancement, financial inclusivity, and decentralised governance. These investor foundations are typically interested in projects that not only offer innovative products but also contribute positively to the blockchain community and its ecosystems. The backing from these investors reinforces SPERO,$$s$ as a noteworthy contender in the rapidly evolving domain of crypto projects. 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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.

752 Total ViewsPublished 2025.01.14Updated 2025.01.14

What is AGENT S

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