ИИ-агенты выходят из моды: капитализация упала на 16%

cryptonews.ruPubblicato 2023-07-02Pubblicato ultima volta 2025-02-02

Появление китайской нейросети DeepSeek заставило инвесторов пересмотреть оценку блокчейн-проектов в сфере искусственного интеллекта. Капитализация сектора ИИ-агентов упала до $8 млрд

В начале года криптопроекты, связанные с искусственным интеллектом, привлекли внимание инвесторов, а многие ИИ-токены, включая VIRTUAL и AI16Z, обновили ценовые рекорды.

Однако с середины января ситуация изменилась. Появление китайской нейросети DeepSeek, показавшей, что разработка ИИ может быть менее затратной, чем считалось ранее, ускорило падение цен в этом сегменте. Инвесторы начали сомневаться в перспективах применения блокчейна в сфере искусственного интеллекта.

Для восстановления рынку необходимы новые драйверы роста, которые вернут доверие инвесторов и помогут ИИ-токенам вернуться в русло восходящего тренда.

Капитализация ИИ-агентов упала до $8 млрд

Падение в секторе криптопроектов, связанных с технологиями искусственого интеллекта продолжается. За последние сутки капитализация ИИ-агентов упала на 15%, опустившись ниже $8 млрд. Все ведущие проекты этого сегмента оказались в минусе. Например, AI16Z потерял 17,9% за день и 46,7% за месяц. Признаков завершения коррекции пока не наблюдается.

Ценовая динамика ведущих крипто ИИ-агентов. Источник: CoinGecko.

Общий сегмент ИИ-криптовалют тоже находится в красной зоне. За сутки его совокупная рыночная капитализация снизилась на 13% и достигла $32 млрд.

VIRTUAL демонстрирует настроения в ИИ-сегменте

Токен VIRTUAL наглядно демонстрирует ситуацию в секторе криптовалютных ИИ-агентов. Второго января его капитализация превысила $5 млрд, и он ненадолго стал крупнейшим ИИ-токеном, обойдя TAO и RENDER.

Рыночная капитализация VIRTUAL. Источник: CoinGecko.

Проект, запущенный на блокчейне Base, предлагает пользователям инструменты для создания ИИ-агентов. С октября 2024 года по январь 2025 года цена VIRTUAL выросла на 4 236% на фоне растущей популярности.

Однако за последний месяц токен потерял более 61% стоимости. Его капитализация упала до $1 млрд — минимального значения с ноября 2024 года.

Интерес к ИИ-токенам снизился более чем вдвое

Еще несколько недель назад тема искусственного интеллекта доминировала в криптосообществе, занимая более 70% всех обсуждений. Сейчас этот показатель упал до 32%. На первый план вышли другие темы: мемкоины, DeFi-проекты и криптовалютные ETF.

Влияние крипто-секторов. Источник: Kaito и X.

Для восстановления позиций ИИ-токенам необходимо вернуть доверие инвесторов. Без новых драйверов роста и изменения рыночных настроений перспективы восстановления остаются неопределенными.

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Humanity Protocol, Kelp DAO stolen funds commingle – Same attacker?

Investigations into the 2026 exploits of Kelp DAO and Humanity Protocol have revealed that stolen funds from both attacks were recently commingled, suggesting a connection between the attackers. Blockchain analyst ZachXBT identified the activity, where 15,403 ETH ($23.6 million) from the Humanity Protocol hack was moved to a new Ethereum address and then to the Bitcoin network, merging with proceeds from the Kelp DAO exploit. Over $8 million of these funds has been laundered using methods associated with groups like the Lazarus Group. The Kelp DAO attack drained about $292 million in April 2026, while Humanity Protocol lost around $32 million in June due to a compromised developer device. This commingling points to a shared external threat actor and highlights ongoing security risks in DeFi.

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Humanity Protocol, Kelp DAO stolen funds commingle – Same attacker?

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Ethereum ETFs see $12.85M outflows – Why ETH bulls face an uphill battle

Institutional demand for Ethereum (ETH) is weakening as investors reduce exposure to risk assets amid uncertain market conditions. U.S. spot ETH ETFs recently recorded $12.85 million in net outflows, extending a broader slowdown in fund demand despite cumulative net inflows remaining near $11 billion. This reduces institutional capital available to support ETH prices. Consequently, Ethereum now relies more on staking demand, layer-2 activity, and organic spot buying to stabilize prices. An increase in network demand could help absorb excess supply. However, if institutional demand does not recover, ETH faces prolonged consolidation and increased vulnerability to sentiment-driven price swings. On-chain analysis shows significant holdings moving to a new wallet. While not a direct sell signal, similar past movements have preceded liquidity events. If these funds are deposited to exchanges, it could reinforce bearish sentiment and selling pressure. In summary, ETH remains vulnerable due to weak institutional demand and a bearish market structure. Stronger spot demand is needed to offset selling pressure and restore sustained bullish momentum.

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Ethereum ETFs see $12.85M outflows – Why ETH bulls face an uphill battle

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2028: The Arrival of Recursive Self-Improvement (RSI)

**AI Recursive Self-Improvement (RSI): The Countdown to 2028 Begins** AI is no longer just a trained tool but is starting to rewrite its own evolutionary pace. According to Anthropic co-founder Jack Clark, there is a 60% probability that by the end of 2028, Recursive Self-Improvement (RSI) will become a reality. This means AI could autonomously design and build a more capable next-generation version of itself without any human researcher involvement—Claude 10 creating Claude 11, for instance. Supporting this timeline, Google DeepMind's CEO Demis Hassabis confirms that all leading AI labs are intensely focused on RSI, making it an industry-wide priority. He expresses profound concern, stating this potential is what keeps him awake at night. Concrete data underscores this acceleration: - METR evaluations show current top models like Claude are solving tasks up to the 16-hour limit of existing test frameworks. - In Epoch AI's challenging MirrorCode benchmark, Claude Opus 4.7 recreated complex software in hours for a fraction of the human cost. In one extreme test, AI autonomously coded for 19 days straight. - Anthropic reports over 80% of its codebase is now written by Claude, and researcher productivity has increased up to 8-fold since 2024. - OpenAI's policy blueprint highlights RSI as a major upcoming governance challenge. CEO Sam Altman reportedly hinted RSI might arrive within six months, potentially delaying OpenAI's massive IPO. The implication is an impending "intelligence explosion," where AI-driven progress outpaces human control. The central question is no longer if it will happen, but whether humanity is ready.

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2028: The Arrival of Recursive Self-Improvement (RSI)

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World Models, Metaverse, Digital Twins, Physical AI: Are They the Same Thing?

Title: World Models, the Metaverse, Digital Twins, Physical AI: Are They the Same Thing? The article clarifies that concepts like the metaverse, Web3, simulation platforms, digital twins, and Physical AI are not the same thing but are all part of the broader trend of blurring the lines between the digital and physical worlds. It positions "world models" as the foundational "cognitive layer" or "operating system" that enables AI to understand and simulate the world. Key distinctions are made: - The **Metaverse** is a destination for immersive social and economic experiences. World models could act as its "engine," generating interactive 3D content efficiently. - **Web3** focuses on decentralized ownership and economics (rules layer), operating on a different technical level than world models. - **Simulation Data Platforms** (e.g., for autonomous vehicles) are a 1.0 version, relying on manual design. World models represent a 2.0 version, using AI to generate realistic, varied scenarios autonomously. - **Digital Twins** create high-fidelity, real-time mirrors of physical systems (e.g., a factory). World models go a step further by enabling predictive simulation of future states. - **Physical AI** (robots, AVs) refers to AI that acts in the physical world. World models are a core component, providing the understanding and prediction needed for planning. A proposed hierarchy places world models at the cognitive layer, supported by infrastructure (compute, data) and supporting application tools (simulation, digital twins), action systems (Physical AI), user experiences (metaverse), and rules (Web3). In conclusion, while distinct, many of these previously hyped concepts may ultimately rely on advances in world model technology to fulfill their promises, as world models provide the essential cognitive foundation for simulating and interacting with complex environments.

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World Models, Metaverse, Digital Twins, Physical AI: Are They the Same Thing?

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"Shocking" CPO: How Does the Glass Bridge Actually Work? Detailed Explanation from Corning

Chinese CPO stocks plunged over 6% following Corning's announcement of its Glass Bridge platform at a Seoul tech conference. The new technology utilizes wafer-level glass ion-exchange waveguides for passive alignment between fibers and photonic chips, potentially simplifying traditional CPO architectures that rely on complex Fiber Array Units and active alignment equipment. This raised market concerns about reduced long-term demand for mid-stream CPO components. Corning's official documentation details Glass Bridge as a platform for fiber-to-PIC connectivity in NPO, CPO, and high-density modules. Its key features include wafer-level manufacturing for consistent, cost-effective production; a standardized, removable MT ferrule interface for ecosystem integration; and a separable high-density connector design supporting over 24 channels for assembly flexibility. Corning positions the technology as complementary to FAUs, addressing limitations in ultra-high-fiber-count scenarios. The market reaction reflects a broader reassessment of the AI optical interconnect value chain. Funds shifted from CPO and PCB manufacturing stocks towards glass substrate concept stocks like Kaisheng Technology and Dyer Laser. Analysts note glass substrates are seen as a next-gen advanced packaging material, offering a potential path for domestic industry differentiation amid AI-driven demand for high-performance, large-scale packaging, marking a structural migration in value towards upstream specialty materials.

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"Shocking" CPO: How Does the Glass Bridge Actually Work? Detailed Explanation from Corning

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