Правительство Бутана предпочло стейкинг продаже эфириумов

cryptonews.ruОпубліковано о 2025-02-27Востаннє оновлено о 2025-11-28

Правительство Бутана поставило на повышение курса эфириума, отправив подешевевшую почти на четверть за прошедший месяц криптовалюту на стейкинг.

27 ноября власти страны заблокировали через сервис Figment 320 ETH стоимостью $970,820 со скромной доходностью в размере 2,86% годовых. Из-за большого количества цифровых активов, подлежащих разблокировке, чиновники смогут вывести монеты не раньше, чем через 28 дней, поэтому их решение стейкать эфириумы, скорее всего, сигнализирует о бычьем настрое.

Тем не менее в пятницу правительство королевства отправило 160 ETH на сумму $483,330 в криптокошелёк, вероятно, принадлежащий азиатской торговой платформе QCP Capital. В связи с этим можно предположить, что власти продали монеты, и сейчас на балансе государства осталось лишь 175 эфириумов на сумму $531,020.

bhutan-crypto-holdings-28-november

Криптовалюты, хранящиеся в кошельках Бутана

Стоимость эфириума скорректировалась после дампа до $2,623 и закрепилась выше $3,000. Однако большинство трейдеров сомневаются, что восходящая тенденция продолжится, и готовятся к новой волне медвежьего тренда, в результате которой криптовалюта подешевеет до $2,000.

Нисходящему движению будет способствовать инфляция, возникшая из-за роста монет в обращении, обусловленного снижением полученной валидаторами комиссии. Соответственно, правительство Бутана сильно рискнуло, отправив ETH на стейкинг в морозную для рынка криптовалют пору.

Пов'язані матеріали

Apple and the Power Rebalancing with 'The Microns': Dissecting the Profit Ledger Behind the iPhone

The article analyzes the shifting profit dynamics and power balance between Apple and memory suppliers like Micron within the iPhone supply chain. It highlights a social media post criticizing Apple for raising iPhone prices while blaming memory chip cost increases, despite historically paying suppliers like Micron very little. An estimated iPhone 18 cost breakdown is referenced. Historically, memory was a minor cost component. In 2017's iPhone X, memory accounted for only about 1.6-2.3% of the price, with Apple capturing nearly 50% net profit. Over time, memory's share of the Bill-of-Materials (BOM) cost has grown significantly, reaching an estimated 12-15% for the iPhone 17 series. The core driver of this change is soaring demand for memory from the AI industry, particularly for High Bandwidth Memory (HBM) and AI servers, which is diverting production capacity and squeezing supply for consumer electronics. Memory manufacturers, after enduring periods of low profits, now hold greater pricing power. This is reflected in their recent strong financials, like Micron's 84.6% gross margin. Apple CEO Tim Cook initially described the memory price pressure as unprecedented in his 40-year career, later calling it a "once-in-a-century flood," before Apple announced price hikes across several product lines, causing a significant stock drop. Elon Musk echoed Cook's sentiment about the dramatic cost surge. The article concludes that the era of memory suppliers being at the mercy of Apple's pricing power has temporarily reversed, thanks to AI-driven demand. It notes Apple is reportedly seeking to diversify its supply chain, including exploring chips from China's CXMT.

Odaily星球日报7 хв тому

Apple and the Power Rebalancing with 'The Microns': Dissecting the Profit Ledger Behind the iPhone

Odaily星球日报7 хв тому

Conversation with the Founder of 42 Macro: The Fed's 'Boiling the Frog Slowly' and the K-Shaped Economy

In a conversation with Anthony Pompliano, Darius Dale, founder of 42 Macro, discusses the Federal Reserve's monetary policy and the K-shaped U.S. economy. Dale characterizes new Fed Chair Kevin Warsh as a "dove in hawk's clothing," expecting the Fed to signal or enact policy tightening in the coming quarters to create room for later easing. He argues current economic signals, including high deficit spending, debt monetization, and credit growth, strongly indicate inflation is not on a credible path back to 2%, forcing the Fed to act. The discussion highlights the stark "K-shaped" economic reality. While top earners, buoyed by massive cash savings (up ~$8 trillion since pre-pandemic), continue robust spending, those at the bottom face severe financial strain, with delinquency rates on consumer loans reaching crisis-era highs. Dale attributes much of the current social and political anxiety to this divergence, driven by the "Cantillon effects" of monetary expansion, which disproportionately benefits asset owners. He emphasizes that in this environment of "financial repression," individuals must participate in asset markets to avoid being left behind. On equities, Dale notes a rotation from the "Magnificent Seven" tech giants into broader AI-exposed companies, while warning that the tech giants' massive capital expenditure cycles could eventually puncture over-optimistic cash flow projections. Dale concludes by stressing that the core desire across all economic strata is simply the dignity to provide for one's family, a goal currently undermined by systemic policies that act as a "wealth siphon" from the bottom to the top.

marsbit37 хв тому

Conversation with the Founder of 42 Macro: The Fed's 'Boiling the Frog Slowly' and the K-Shaped Economy

marsbit37 хв тому

The Eight Fathers of Transformer: Where Are They Now?

The founding authors of the seminal 2017 paper "Attention Is All You Need," which introduced the Transformer architecture, have all departed from Google and are now pioneering diverse ventures across the AI landscape. Their current paths highlight the field's evolution and fragmentation. Ashish Vaswani co-founded Essential AI after a stint at Adept, but recent reports suggest he and his team are being recruited by Nvidia. Noam Shazeer left Google twice, first to found Character.AI—later acquired by Google—before recently joining OpenAI. Niki Parmar, after co-founding both Adept and Essential AI with Vaswani, is now at Anthropic. Jakob Uszkoreit is the CEO of Inceptive, applying AI to RNA and drug design. Llion Jones co-founded Sakana AI in Tokyo, exploring collective intelligence from smaller models. Aidan N. Gomez is the CEO of Cohere, focusing on enterprise AI solutions. Łukasz Kaiser remains in research at OpenAI, contributing to models like GPT-4 and o1. Illia Polosukhin co-founded the NEAR Protocol blockchain, positioning it for an AI-agent economy. Despite their divergent paths—spanning biotech, enterprise software, blockchain, and foundational research—a shared sentiment persists: the Transformer is not the final answer. Each founder continues to seek the next significant architectural breakthrough, driven by the same innovative spirit that created the modern AI era.

marsbit41 хв тому

The Eight Fathers of Transformer: Where Are They Now?

marsbit41 хв тому

The Domestic Answer to Space Computing Power: Photonics Are More Efficient, Musk and Huang's Approaches Are Too Roundabout

The Space Computing Race: A Photonic Advantage The competition for space-based computing has intensified, with figures like Elon Musk and NVIDIA's Jensen Huang highlighting its potential. Musk predicts solar-powered AI satellites could offer the most cost-effective computing by 2032. However, space presents extreme challenges for traditional electronic chips: radiation from cosmic particles can cause errors, the vacuum environment hinders heat dissipation, and limited solar power constrains energy-hungry systems. Photonic computing, using light instead of electrons, offers a promising solution. Its core advantages for space are threefold: 1) **Radiation Resistance**: Photons are charge-neutral, making them inherently immune to particle interference. 2) **Low Heat Generation**: Light propagation in waveguides generates minimal heat, bypassing critical thermal management issues. 3) **Low Power Consumption**: Photonic chips have near-zero static power draw, aligning perfectly with the energy constraints of satellites. Furthermore, for a given payload weight and volume, photonic systems can potentially deliver higher total compute density. Since they require less bulky cooling and power infrastructure, more space can be allocated to the compute units themselves. While photonic computing holds great promise, current industry approaches face hurdles like the memory-compute bottleneck (separate storage and processing) and challenges in large-scale integration. Engineering for space—withstanding launch vibrations and validating full system operation in orbit—remains a critical step. The path forward resembles the evolution from single GPUs to computing clusters, but via a photonic route. As electronic chips approach physical limits in miniaturization, photonic computing and optical interconnects (光算光联) may provide a key alternative to bypass these constraints and define the next generation of space-based computing capabilities.

marsbit1 год тому

The Domestic Answer to Space Computing Power: Photonics Are More Efficient, Musk and Huang's Approaches Are Too Roundabout

marsbit1 год тому

Торгівля

Спот
活动图片