Пользователь по ошибке продал токены gnzystrm и обвалил их цену на 99%

cryptonews.ruPubblicato 2025-02-04Pubblicato ultima volta 2025-09-05

Стример Гейнзи утверждает, что случайно слил свои токены, незаметно для себя нажав кнопку «Продать» в приложении на смартфоне.

Неуклюжесть Гейнзи за считанные секунды обрушила рыночную капитализацию gnzystrm на 99% с $4,6 млн до $12,000, затем она отскочила до $2,2 млн. Сам стример заработал на продаже $168,000.

Гейнзи даже обратился к генеральному директору Pump Fun Алону Коэну с просьбой помочь ему решить проблему, ведь его не взломали, а обвал был вызван «случайным кликом в приложении».

Я наблюдал в реальном времени, как график рухнул, полностью осознавая, что это моих рук дело. Теперь я жду, во сколько мне обойдётся исправление этой ситуации, — написал Гейнзи в соцсети.

Некоторые пользователи не поверили в эту оплошность, как и специалисты компания Arkham, специализирующейся на криптобезопасности.

Кстати, однажды его приняли за Луиджи Манджоне, обвиняемого в убийстве генерального директора UnitedHealthcare Брайана Томпсона. Пока блогер не сделал заявления по этому поводу.

Letture associate

Opinion: AI Bubble Bursts, Bitcoin and Other Risky Assets Are the First to Be Impacted

BIS Warns AI Investment Boom Could Trigger Market Stress, Impacting Bitcoin First The Bank for International Settlements (BIS) warns that a potential bursting of the "AI bubble" could tighten liquidity and severely impact risk assets like Bitcoin in the near term. Major tech firms are projected to spend over $1 trillion on AI infrastructure in 2025-2026. The BIS cautions that if returns fail to meet expectations, a sudden withdrawal of financing could turn this investment boom into a prolonged bust, creating ripple effects across financial markets. While AI holds long-term economic promise, the current scale and speed of investment, coupled with intense competition and physical bottlenecks (e.g., semiconductors, power grids), mirror historical bubbles. The report highlights that the AI funding web—spanning corporate debt, private credit, and complex vendor agreements—makes systemic risks harder to see. A disappointment in AI adoption could transmit stress through this chain, widening credit spreads and pressuring weaker borrowers. For Bitcoin, the initial reaction to such a market shock would likely be defensive. As liquidity tightens, investors typically sell liquid assets first, and Bitcoin often trades in line with other risk assets during portfolio de-risking. Recent correlations, like Bitcoin's drop following a sharp decline in South Korea's stock market, support this view. However, the longer-term outcome for Bitcoin depends on the policy response. If an AI-driven credit crunch forces central banks to inject liquidity and ease policy eventually, it could reignite Bitcoin's narrative as a hedge against monetary debasement. Yet, traders betting on this outcome may first have to endure significant market volatility and potential price declines.

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South Korea Reaps Riches, America Turns Hostile

The US has filed a collective antitrust lawsuit in California against Samsung, SK Hynix, and US-based Micron, alleging they colluded to create a "RAMpocalypse" by slashing traditional DRAM production and raising prices 700% over four years amid the AI boom. This lawsuit targets the heart of the AI supply chain: High Bandwidth Memory (HBM), critical for Nvidia's GPUs. Currently, SK Hynix (57%), Samsung (22%), and Micron (21%) dominate global HBM production. The case highlights a deeper US concern: in the AI era, South Korea, through its HBM dominance, is capturing an estimated 35% of global AI profits, second only to the US (49%). SK Hynix's operating profit margin recently hit a record 72%. In response to the lawsuit, South Korea announced a massive $800 trillion won investment to build four new chip plants, doubling down on its strategic position. Analysts see the lawsuit not merely as a consumer price issue but as strategic pressure. It aims to support Micron's US manufacturing expansion (subsidized by the CHIPS Act) and secure America's share of AI profits by bringing more HBM production onshore. However, South Korea's rapid execution and massive cash flow from current HBM sales give it a significant speed advantage over US build-out timelines. The conflict underscores a fundamental shift: AI infrastructure like GPUs and HBM is becoming a new form of strategic national resource, akin to oil. While Nvidia and Korean memory giants are interdependent, the struggle over profit distribution and industrial sovereignty in this new landscape is just beginning. This lawsuit may be the first major skirmish in the AI resource wars.

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