FLock запускает FLOCK и готовит революцию в AI

cryptonews.ruPublished on 2024-05-04Last updated on 2025-01-04

Согласно последним данным, 31 декабря 2024 года создатели FLock официально запустили токен FLOCK, позиционируя себя как важного игрока в области искусственного интеллекта (AI) и децентрализованных технологий. Проект, созданный предпринимателем и экспертом в области ИИ, известным под псевдонимом 0x7SUN, предлагает инновационный подход к обучению и использованию моделей на базе «федеративного обучения».

FLock уже привлек значительное внимание инвесторов, успешно завершив 2 раунда финансирования. В марте 2024 года проект привлек $6 млн на Seed-этапе, а в декабре 2024 года получил еще $3 млн в рамках Strategic стратегического раунда. Среди инвесторов — такие крупные компании, как Digital Currency Group, Lightspeed Faction и Animoca Brands.

Ключевая структура платформы состоит из 3-х компонентов: AI Arena, FL Alliance и AI Marketplace. AI Arena — это децентрализованная площадка для создания и обучения моделей. FL Alliance использует «федеративное обучение» для совместной доработки, а AI Marketplace станет финальным этапом, где модели будут доступны для реальных применений.

Токен FLOCK играет важную роль в экосистеме. Он используется для обучения моделей, их валидации и участия в управлении платформой. Также токен служит инструментом для стимулирования пользователей и обеспечения безопасности системы.

Дорожная карта проекта на 2025 год обещает насыщенные события. В 1-м квартале текущего года планируется запуск тестовой сети FL Alliance, а также объявление о сотрудничестве с ведущими Web2 и Web3-компаниями. К середине года будет запущена основная сеть, а пользователи смогут создавать собственные модели и приложения. Вторая половина года ознаменуется открытием AI Marketplace и выпуском модельных эталонов для Web3.

Ошибка в тексте? Выделите её мышкой и нажмите Ctrl + Enter

Trending Cryptos

Related Reads

Li Feifei's Latest Article: When Video Generation, Robotics, and NVIDIA All Claim to Have 'World Models,' We Need a Taxonomy

"World Model" has become a widely used yet ambiguous term in AI. Drawing from the classic POMDP framework (agent → action → state → observation), this article proposes a functional taxonomy to clarify the concept. It identifies three distinct types, categorized by their output in the perception-action loop: 1. **Renderers**: Output visual observations (pixels). These models, like advanced video generators, prioritize visual fidelity but often lack underlying physical accuracy. 2. **Simulators**: Output the state of the world (geometry, physics, dynamics). They provide a structurally accurate representation for professionals (e.g., architects) and serve as training environments for robots and AI agents. 3. **Planners**: Output actions. Given an observation and a goal, they determine what an agent should do next, closing the perception-action loop (e.g., vision-language-action models). While renderers are currently the most commercially mature and planners are the most aspirational, the article argues that **simulators are the crucial, underappreciated hub**. By working at the level of geometry and physics, a simulator can project upwards to create visuals for humans and downwards to predict action consequences for agents. The future lies in the convergence of these three functions. Emerging research and products, like World Labs' Marble model which outputs both visual splats and physical collision meshes, are beginning to blur these boundaries. The logical endpoint is a unified world foundation model capable of rendering, simulating, and planning based on a shared understanding of spatial and temporal structures—ultimately enabling machines to understand, imagine, and interact with the physical world.

链捕手7m ago

Li Feifei's Latest Article: When Video Generation, Robotics, and NVIDIA All Claim to Have 'World Models,' We Need a Taxonomy

链捕手7m ago

Doubao and Qwen Will Discontinue Agent Functionality on July 15

On July 4th, Doubao and Tongyi Qianwen announced the impending shutdown of their user-created "AI Agent" features. Doubao confirmed its agent feature will be taken offline on July 15, directing users to ByteDance's CatBox app for similar needs. On the same day, Tongyi Qianwen notified users, specifying that personalized interactive agents and user-built agent functions will cease on July 10, with all agent features and services completely deactivated by July 15. After this date, access to agent configurations and historical chat records will be lost. This adjustment impacts core user scenarios like role-playing, personal assistants, and vertical tool agents. The shutdown date coincides with the official implementation of China's "Interim Measures for the Administration of Artificial Intelligence Human-like Interactive Services" on July 15. The new regulations impose strict rules on "human-like emotional interaction services," requiring platforms to implement measures like anti-addiction systems, minor verification, and content moderation. This move is widely seen as a proactive step by the platforms to align with regulatory timelines and mitigate compliance risks. Additionally, commercial challenges are a key driver. Analysis suggests that casual, human-like chat agents generate high-frequency, low-value interactions, leading to high computational costs with poor monetization. As the AI application market shifts from user growth to proving value, sustaining such "high-cost, low-efficiency" user-generated content becomes difficult. Both platforms have outlined transition plans. Doubao will allow data viewing and self-backup for a period after shutdown, with data scheduled for permanent deletion by October 15. Tongyi Qianwen similarly advised users to save important content via copying or screenshots before the deadline. This strategic retreat from C-end agent features signals a broader market shift. Compliance capability and sustainable business models are replacing user scale and feature richness as the new core competitive dimensions. Tongyi Qianwen's recent move to fully open its Agent and Skill platforms to third-party enterprises and developers further underscores a strategic pivot from low-value C-end services to high-value B-end enterprise scenarios.

marsbit3h ago

Doubao and Qwen Will Discontinue Agent Functionality on July 15

marsbit3h ago

Trading

Spot

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of AI (AI) are presented below.

活动图片