Стартап Grvt получил от инвесторов $19 млн для развития приватных ончейн-финансов

cryptonews.ruPubblicato 2025-06-18Pubblicato ultima volta 2025-09-19

Grvt, децентрализованная биржа, сфокусированная на приватности, объявила о привлечении $19 млн в рамках раунда Series A. Платформа использует zero-knowledge технологии для защиты данных и позиционирует себя как инфраструктурный стандарт будущего ончейн-финансов. Участниками данного этапа по сбору средств стали ZKsync, Further Ventures, EigenCloud и 500 Global, что подчеркивает международный масштаб проекта и интерес крупных инвесторов.

Раунд Series A позволит Grvt ускорить реализацию многоступенчатой продуктовой стратегии. Основные направления — развитие инфраструктуры с приватностью по умолчанию, внедрение стейблкоин-решений, кросс-биржевые хранилища и интеграция реальных активов. Это должно вывести децентрализованную торговлю на новый уровень доступности для различных классов инвесторов.

Контекст для роста Grvt благоприятен: в августе ончейн-объем сделок Ethereum превысил $320 млрд, а прогнозы рынка DeFi предполагают рост с $32,36 млрд в 2025 году до более $1,5 трлн к 2034 году. Однако сегодня сектор сталкивается с проблемами: MEV-атаками, «охотой на китов», уязвимыми смарт-контрактами, барьерами комплаенса и неудобством интерфейсов для массового пользователя.

В Grvt утверждают, что их технологии способны решить проблемы. Биржа предлагает Fixed Yield Generation Flywheel — механизм, который автоматически распределяет средства пользователей между торговыми, фондовыми и сейфовыми счетами для максимизации доходности. При этом архитектура платформы нацелена на приватность и масштабируемость, чего не хватает конкурентам.

Ключевой акцент сделан на создание устойчивой стейблкоин-системы и интеграцию с реальными активами. Это должно усилить позиции Grvt как моста между традиционными финансами и DeFi. Значительная часть средств также пойдет на развитие сообщества и найм талантов для поддержки расширения.

Сооснователь и CEO Grvt Хон Йеа заявил, что приватность является базовым условием для массового перехода к ончейн-финансам. По его словам, ZK-технологии станут новым стандартом индустрии и проложат путь к открытому и безопасному миру.

Letture associate

The Five Paradoxes of Artificial Intelligence

**Five Paradoxes of Artificial Intelligence** Artificial intelligence (AI) is an era filled with paradoxes, which we navigate as we advance. **1. The Prediction Paradox** AI experts, from pioneers like Marvin Minsky to contemporary figures like Geoffrey Hinton and Demis Hassabis, have a history of inaccurate forecasts regarding AI's capabilities and timelines, such as achieving human-level machine intelligence or surpassing radiologists. Predictions about Artificial General Intelligence (AGI) vary wildly between optimistic entrepreneurs and skeptical academics, highlighting the inherent unpredictability of technological futures. **2. The Employment Quantification Paradox** Despite numerous studies from institutions like the OECD, IMF, and McKinsey attempting to quantify AI's impact on jobs, estimates of affected employment range from 0.4% to 67%, revealing vast inconsistencies. This paradox arises because isolating AI's effect from other economic, social, and technological factors is virtually impossible, and forecasts depend on static assumptions about a dynamically evolving technology. **3. The Productivity Paradox** While AI is a transformative General Purpose Technology, significant productivity growth has not yet materialized in major economies like the EU and has only matched historical averages in the US. This disconnect between rapid innovation and slow productivity gains, reminiscent of the "Solow Paradox" from the computer age, is often explained by time lags. History shows it takes decades for such technologies to diffuse and trigger complementary innovations that boost productivity. **4. The Data Value Paradox** Data is hailed as the "new oil" and critical for AI, yet its economic value is paradoxical. Its worth is realized only in use, not in straightforward trade. Despite policy emphasis and initiatives for data asset recognition on corporate balance sheets in China, the monetized value remains negligible—accounting for only about 0.06% of major telecom operators' total assets—highlighting the gap between perceived utility and financial valuation. **5. The Industrial Revolution Paradox** For decades, nearly every major new technology, from the internet and nanotechnology to blockchain and now AI, has been proclaimed as the driver of a "Fourth Industrial Revolution." This constant reassignment suggests prior labels were premature. True industrial revolutions are typically identified in hindsight, not in real-time. Furthermore, the coexistence of such a proclaimed transformative revolution with ongoing economic crises would be historically anomalous. Whether AI truly defines a new industrial revolution remains a narrative for the future to decide.

marsbitAdesso

The Five Paradoxes of Artificial Intelligence

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Experts Warn of Mass Crypto Hacks Using AI Agents

Experts warn that AI agents could dramatically lower the cost and scale of attacks against cryptocurrency holders. Speaking at the Wyoming Blockchain Symposium, industry figures noted that automation allows malicious actors to simultaneously search for vulnerabilities in wallets, passwords, and networks across a vast number of potential victims. Ryan Kirkly, co-founder and CEO of Global Settlement Network, criticized the industry for often viewing autonomous agents only as beneficial tools while underestimating their offensive potential. Data from TRM Labs shows the crypto industry experienced a record 207 hacks in the first half of 2026, causing $972 million in losses, with the number doubling from the same period in 2025. Vice President of Technical Operations at Web3 Foundation, Bill Labun, agreed that the efficiency of autonomous systems also benefits attackers. While defenders like the Ethereum Foundation are using AI agents for security audits, the need for human verification remains high due to false positives. A major concern is granting AI agents direct access to financial tools and personal data. New services like MetaMask's Agent Wallet, which allows AI to manage assets within set limits, introduce risks such as prompt injection attacks. Panelists also highlighted risks from metadata leakage, which can compromise privacy even on private networks, and the unresolved issue of legal liability for an AI agent's autonomous and potentially irreversible actions. Lack of user trust, due to AI's tendency to "hallucinate" or generate incorrect information, was cited as a key barrier to widespread adoption.

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Experts Warn of Mass Crypto Hacks Using AI Agents

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American economic magazine Forbes stated that bitcoin could become a neutral reserve asset for the global economy!

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American economic magazine Forbes stated that bitcoin could become a neutral reserve asset for the global economy!

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