T-Rex привлек $17 млн на развитие Web3-протокола

cryptonews.ruPubblicato 2024-05-09Pubblicato ultima volta 2025-05-09

T-Rex — Web3-протокол в сфере пользовательских онлайн-развлечений — привлек $17 млн в рамках pre-seed финансирования. Это 1-й и единственный на данный момент инвестиционный раунд компании. Разработкой T-Rex занимается азиатская венчурная организация Everest Venture Group, а техническая инфраструктура построена на базе Arbitrum Orbit.

В раунде приняли участие крупные венчурные фонды, включая Portal Ventures, North Island Ventures, Framework Ventures, Arbitrum Gaming Ventures, ArkStream Capital, Mindful Venture Capital, Hypersphere, SNZ и Arche Fund. Согласно заявлению представителей компании, структура совета директоров не изменилась.

Проект предлагает уникальную модель монетизации пользовательского внимания. С помощью специального браузерного расширения юзеры смогут получать криптовалютные награды за взаимодействие с контентом на таких платформах, как X (бывший Twitter), TikTok (платформа запрещена в России) и YouTube. T-Rex использует собственную модель proof-of-engagement в сочетании с технологией zkTLS — разновидностью передачи зашифрованных данных, которая позволяет подтверждать активность без раскрытия личной информации.

Ключевая механика включает всплывающий элемент с иконкой «попкорна», который появляется в углу экрана во время просмотра контента. Пользователь нажимает на него, и за каждое взаимодействие получает баллы, которые впоследствии можно конвертировать в криптовалюту. Система будет учитывать интересы юзеров и адаптировать предложения, включая децентрализованные приложения и контент.

Запуск расширения запланирован на конец лета 2025 года. Основатели уверяют, что их цель — преодолеть главный барьер в массовом внедрении Web3: сложность пользовательского интерфейса. «Наша цепочка работает незаметно, позволяя превращать обычное онлайн-развлечение в реальные награды», — заявил сооснователь T-Rex Аллен Нг. До конца 2025 года T-Rex планирует подключить более 100 контент-креаторов, развивать медиапартнерства и заключать соглашения в сфере интеллектуальной собственности.

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Li Fei-Fei's Latest Long-Form Article: When Video Generation, Robotics, and NVIDIA All Call Themselves World Models, We Need a Taxonomy

In a new article, Dr. Fei-Fei Li addresses the widespread and often inconsistent use of the term "world model" in AI. She proposes a clear, functional taxonomy rooted in the classic Partially Observable Markov Decision Process (POMDP) loop (agent → action → state → observation → agent). According to this framework, current systems called "world models" are different projections of this loop, categorized by their primary output: 1. **Renderers**: Output observations (pixels). Their goal is visual fidelity for human consumption (e.g., video generation models like Sora). They are the most commercially mature but are limited by a focus on appearance over physical accuracy. 2. **Simulators**: Output states (geometric, physical, dynamic representations). They provide a structurally accurate world for both human professionals (e.g., architects) and computational agents (e.g., robots for training). Li argues simulators are the crucial, underappreciated bridge, as they can underpin both rendering and planning. 3. **Planners**: Output actions. Given an observation and a goal, they decide what an agent should do next (e.g., robotic action models). This area is highly promising but remains the least mature for real-world deployment. Li highlights a key trend: the boundaries between these three categories are beginning to blur, as they all rely on a shared underlying understanding of geometry, physics, and dynamics. The logical endpoint is a unified world foundation model capable of switching between rendering, simulation, and planning based on downstream needs. This convergence, she concludes, is central to advancing spatial intelligence—enabling machines not just to talk about the world, but to truly understand, imagine, and interact with it.

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Forbes Feature: Stablecoin Cross-Border Payments Are Faster, But Not Yet Cheaper

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