Kepala OCC Janjikan Aturan GENIUS Final pada November

cointelegraph2026-08-19 tarihinde yayınlandı2026-08-19 tarihinde güncellendi

Özet

Kepala OCC Jonathan Gould berjanji aturan final terkait implementasi undang-undang stablecoin pembayaran, GENIUS Act, akan selesai pada November. Pernyataan ini disampaikan dalam simposium blockchain di Wyoming. Aturan tersebut diperlukan sebelum UU GENIUS mulai berlaku pada Januari 2027. OCC telah mengusulkan aturan setebal 376 halaman pada Februari dan sedang mempertimbangkan masukan dari industri. Gould memperkirakan OCC dapat mulai memproses aplikasi dari penerbit stablecoin mulai tahun 2027. Beberapa regulator lain juga telah mengajukan proposal tetapi belum merilis aturan final, yang berpotensi menimbulkan ketidakpastian regulasi bagi penerbit stablecoin.

Pengawas Mata Uang AS Jonathan Gould mengatakan bahwa lembaganya akan memiliki aturan final terkait implementasi undang-undang stablecoin pembayaran pada November.

Berbicara pada Simposium Blockchain Wyoming hari Rabu, regulator tersebut mengatakan bahwa setelah Office of the Comptroller of the Currency (OCC) mengajukan proposal untuk mengimplementasikan Undang-Undang Guiding and Establishing National Innovation for US Stablecoins (GENIUS), OCC akan merilis aturan yang telah diselesaikan sebelum berlakunya undang-undang yang dijadwalkan pada Januari 2027.

Gould mengatakan bahwa OCC "akan memiliki aturan final pada November" karena lembaga tersebut mempertimbangkan masukan dari industri kripto setelah merilis aturan yang diusulkan pada bulan Februari. Dia menambahkan bahwa dia mengharapkan regulator dapat mulai memproses aplikasi terkait penerbit stablecoin mulai tahun 2027.

Undang-Undang GENIUS, yang ditandatangani menjadi undang-undang pada Juli 2025, bertujuan untuk membuat kerangka regulasi untuk stablecoin pembayaran di AS, memerlukan aturan dari lembaga pemerintah yang mengawasi produk tersebut, termasuk OCC, Departemen Keuangan, Federal Deposit Insurance Corporation (FDIC), dan Dewan Gubernur Federal Reserve.

Meskipun OCC melangkah maju dengan proposal 376 halaman untuk mengimplementasikan GENIUS pada bulan Februari, lembaga pemerintah hanya memiliki waktu hingga 18 Januari untuk menyelesaikan regulasi saat undang-undang mulai berlaku. Beberapa regulator telah menerbitkan proposal dan mengumpulkan umpan balik publik terkait implementasi GENIUS, tetapi tidak merilis aturan final pada bulan Juli, yang berpotensi mengakibatkan ketidakpastian regulasi bagi penerbit stablecoin.

Related: OCC setujui perusahaan kripto keluarga Trump untuk piagam perwalian

Trend Kriptolar

CitreaCTR

wrapped stUSDTWSTUSDT

İlgili Sorular

QApa janji yang disampaikan oleh kepala OCC Jonathan Gould terkait peraturan GENIUS Act?

AJonathan Gould berjanji bahwa OCC akan mengeluarkan aturan final terkait implementasi GENIUS Act selambat-lambatnya pada bulan November.

QApa tujuan utama dari GENIUS Act yang menjadi undang-undang pada tahun 2025?

ATujuan utama GENIUS Act adalah menciptakan kerangka regulasi untuk aset kripto stablecoin pembayaran di Amerika Serikat.

QKapan OCC memperkirakan dapat mulai memproses aplikasi dari penerbit stablecoin setelah aturan final diterbitkan?

AOCC memperkirakan dapat mulai memproses aplikasi dari penerbit stablecoin mulai tahun 2027.

QAgen pemerintah mana saja yang diwajibkan untuk membuat aturan pelaksanaan GENIUS Act selain OCC?

ASelain OCC, lembaga yang diwajibkan membuat aturan pelaksanaan adalah Departemen Keuangan, FDIC (Federal Deposit Insurance Corporation), dan Dewan Gubernur Federal Reserve.

QMengapa keterlambatan penerbitan aturan final oleh beberapa regulator dapat menimbulkan masalah bagi penerbit stablecoin?

AKeterlambatan penerbitan aturan final dapat menimbulkan ketidakpastian regulasi bagi penerbit stablecoin, terutama karena batas waktu penerapan undang-undang adalah 18 Januari 2027.

İlgili Okumalar

Two Funding Rounds in Three Months: The Chinese Version of Palantir is on Fire

Investment Community AI has learned that Beijing Zhongshu Ruizhi Technology Co., Ltd., a domestic industrial-grade causal intelligence and high-reliability decision-making AI company, has recently completed a strategic financing round worth hundreds of millions of RMB. This round saw participation from China Internet Investment Fund, Suzhou Chuangtou National Social Security Fund, Financial Street Capital, ICBC Capital, Kunlun Capital, among others, with existing shareholders also increasing their investment. This follows a Series B funding round in the hundreds of millions completed just three months prior. The rapid succession of two major funding rounds signifies strong market recognition of the company's underlying original technology and scaled commercial implementation. Often referred to as the "Chinese version of Palantir," Zhongshu Ruizhi is entering a new phase of accelerated technological iteration, widespread scenario replication, and scaled performance release, mirroring the explosive growth of China's AI market. Founded in April 2020 by Dr. Han Han, a Tsinghua University Ph.D. and former core drafter of national AI policies, the company is mission-driven to "move AI from the digital world to the physical world." It focuses on the high-reliability, strong-decision industrial AI track and enterprise-grade AI Agent full-stack infrastructure. The team tackles the challenge of applying AI to China's vast and complex industrial and energy systems by developing a new intelligent operating system from scratch. Its core technological breakthrough lies in three proprietary底层 technologies: meta-causal cognitive theory, causal models, and a dynamic ontology engine. These address critical pain points of generative large models in industrial settings—such as AI hallucinations, insufficient reasoning, lack of temporal logic, unverifiable decisions, and multi-source rule conflicts—thereby providing trustworthy, explainable, and executable智能决策 capabilities. Commercially, Zhongshu Ruizhi has achieved scaled deployment, serving over 50 central state-owned enterprises and industrial groups in sectors like power, petroleum, and aerospace, with implementations in more than 800 highly complex production scenarios. The company reported doubled revenue in 2025, demonstrating strong self-sufficiency and a viable business model—a rarity among new-generation AI firms. The latest funds will be allocated towards advancing foundational theoretical research, replicating successful application models to expand market presence (including overseas), and attracting top-tier talent. Lead investor China Internet Investment Fund highlighted that in the current shift from general AI capability contests to deep industrial empowerment, industrial-grade causal intelligence is crucial for building China's modern digital foundation and fostering new quality productive forces. They expressed support for the company's efforts to define decision-making paradigms and trustworthy standards for industrial intelligence, aiming to secure a rule-making voice in the global physical AI arena.

marsbit6 dk önce

Two Funding Rounds in Three Months: The Chinese Version of Palantir is on Fire

marsbit6 dk önce

The Biggest Political Economy Question in the AI Era: As Robots Become More Capable, How Do Humans Share the Value?

In the AI era, the most pressing political economy question is: as machines become increasingly capable, how can humanity share in the value they create? An article originally critiquing China's tech focus has sparked a deeper debate on this global challenge. Historically, industrial progress improved efficiency but still relied on human labor for wealth creation and distribution. AI is fundamentally different—it is now replacing cognitive and knowledge work. As AI and robots take over more tasks, economic growth may continue while direct human participation in value creation shrinks, creating a core tension between productivity gains and widespread income generation. The issue is not unique to China. While leading tech companies amass enormous wealth, labor's share of income is declining globally. The core problem is a broken link: technological innovation and corporate profits are not translating into sufficient consumer income and demand. Three potential paths forward are outlined: a traditional capitalist model where profits primarily go to capital owners; a state-capitalist approach with public investment in AI; and more innovative models like digital sovereign wealth funds, universal shareholding, or AI-era basic income schemes to directly distribute AI-generated value. The future competitive advantage may lie not just in technological supremacy, but in which society can build a new, inclusive distribution system for the intelligent economy. The ultimate challenge is ensuring that as AI creates value, humans have a means to obtain income and share in the resulting widespread social benefits.

marsbit16 dk önce

The Biggest Political Economy Question in the AI Era: As Robots Become More Capable, How Do Humans Share the Value?

marsbit16 dk önce

Generating Profits for Seven Consecutive Quarters, Emerging Markets Carry Trade Outperforms Everything

For the seventh consecutive quarter, dollar-funded emerging market carry trades have delivered positive returns, marking the longest winning streak since 2008. According to Bloomberg's index, this strategy has gained approximately 22% since late 2024, outperforming U.S. Treasuries, emerging market sovereign, and corporate dollar debt. The core of the trade involves borrowing low-interest currencies like the U.S. dollar, euro, or yen to invest in high-yielding emerging market assets, such as Turkish lira bonds offering over 40% returns. Returns were amplified by favorable currency moves, with the dollar weakening against most emerging market currencies and other traditional funding currencies. For instance, the trade gained 48% on the Colombian peso in the past year. A key test came in August 2024 with a historic joint U.S.-Japan currency intervention, which caused only a modest 1% dip in the carry trade risk premium as investors shifted funding from the yen to the euro and Swiss franc. Looking ahead, the primary risk is the timing of Federal Reserve policy changes. While persistent inflation allows the Fed to hold rates, a rapid rise in long-term U.S. yields could threaten the trade. Another concern is crowding, as massive inflows increase vulnerability to a sudden reversal. High interest rates in regions like Latin America and Eastern Europe, supported by external factors like Middle East tensions and energy prices, continue to sustain the opportunity. Major investors remain engaged, favoring currencies like the Mexican peso, South African rand, and Turkish lira.

marsbit31 dk önce

Generating Profits for Seven Consecutive Quarters, Emerging Markets Carry Trade Outperforms Everything

marsbit31 dk önce

Tsinghua and Whiton Mentor-Disciple Team Cracks 40-Year-Old Mystery, Core Math All Written by GPT, Anyone Could Do It

Tsinghua and Wharton researchers have used GPT-5.6 Sol Pro to solve a 40-year-old open problem in optimization theory, proving a fundamental limit for gradient descent. They demonstrated that by adjusting only the step size sequence—without adding momentum or changing the algorithm's structure—the convergence rate of gradient descent cannot exceed Ω(T^{-1.9319}). This establishes a mathematical ceiling, showing that structural modifications are necessary to achieve the fastest possible convergence rates like O(1/T²). The core proof, involving a geometric construction based on "resisting oracles," was entirely generated through iterative interaction with the AI. The proof was then formally verified using the Lean 4 theorem prover, achieving zero "sorry" or "admit" statements, confirming its logical correctness without human intervention in the non-trivial mathematical steps. This result bridges the gap between the known O(T^{-1.2716}) rate achieved by the "silver stepsize" sequence and the newly proven impossibility bound. The work suggests a new paradigm where researchers can leverage general-purpose AI to explore and formally verify complex theoretical proofs.

marsbit41 dk önce

Tsinghua and Whiton Mentor-Disciple Team Cracks 40-Year-Old Mystery, Core Math All Written by GPT, Anyone Could Do It

marsbit41 dk önce

Anthropic Admits Fault, Evidence of Secretly Downgrading Claude's Intelligence

Anthropic publicly apologized after users discovered a hidden A/B test in Claude Code (versions 2.1.237+) that seemingly "dumbed down" the model. Developer argofowl found that selecting the "high" reasoning effort was being mapped internally to a value of "10," which previously corresponded to the "low" setting. While Anthropic engineers clarified this was only a change to the numerical mapping scale and assured it did not affect performance based on internal evaluations, the lack of communication about the test sparked widespread user backlash and self-tests on social media. Separately, significant complaints emerged about the flagship Opus 5 model, with users reporting it became "unstable," prone to lazy outputs, factual errors, and repetitive corrections. An Anthropic engineer acknowledged Opus 5's performance instability, calling its resolution a top priority. The incident highlights a growing industry-wide rift between improving benchmark scores and declining user-perceived quality and reliability. It underscores the lack of transparency in continuous model updates, where server-side changes, A/B tests, and configuration adjustments occur without clear user notification, eroding trust as AI models become critical infrastructure.

marsbit41 dk önce

Anthropic Admits Fault, Evidence of Secretly Downgrading Claude's Intelligence

marsbit41 dk önce

İşlemler

Spot

Popüler Makaleler

GENIUS Nasıl Satın Alınır

HTX.com’a hoş geldiniz! Genius (GENIUS) satın alma işlemlerini basit ve kullanışlı bir hâle getirdik. Adım adım açıkladığımız rehberimizi takip ederek kripto yolculuğunuza başlayın. 1. Adım: HTX Hesabınızı OluşturunHTX'te ücretsiz bir hesap açmak için e-posta adresinizi veya telefon numaranızı kullanın. Sorunsuzca kaydolun ve tüm özelliklerin kilidini açın. Hesabımı Aç2. Adım: Kripto Satın Al Bölümüne Gidin ve Ödeme Yönteminizi SeçinKredi/Banka Kartı: Visa veya Mastercard'ınızı kullanarak anında Genius (GENIUS) satın alın.Bakiye: Sorunsuz bir şekilde işlem yapmak için HTX hesap bakiyenizdeki fonları kullanın.Üçüncü Taraflar: Kullanımı kolaylaştırmak için Google Pay ve Apple Pay gibi popüler ödeme yöntemlerini ekledik.P2P: HTX'teki diğer kullanıcılarla doğrudan işlem yapın.Borsa Dışı (OTC): Yatırımcılar için kişiye özel hizmetler ve rekabetçi döviz kurları sunuyoruz.3. Adım: Genius (GENIUS) Varlıklarınızı SaklayınGenius (GENIUS) satın aldıktan sonra HTX hesabınızda saklayın. Alternatif olarak, blok zinciri transferi yoluyla başka bir yere gönderebilir veya diğer kripto para birimlerini takas etmek için kullanabilirsiniz.4. Adım: Genius (GENIUS) Varlıklarınızla İşlem YapınHTX'in spot piyasasında Genius (GENIUS) ile kolayca işlemler yapın.Hesabınıza erişin, işlem çiftinizi seçin, işlemlerinizi gerçekleştirin ve gerçek zamanlı olarak izleyin. Hem yeni başlayanlar hem de deneyimli yatırımcılar için kullanıcı dostu bir deneyim sunuyoruz.

622 Toplam GörüntülenmeYayınlanma 2026.04.29Güncellenme 2026.06.02

Tartışmalar

HTX Topluluğuna hoş geldiniz. Burada, en son platform gelişmeleri hakkında bilgi sahibi olabilir ve profesyonel piyasa görüşlerine erişebilirsiniz. Kullanıcıların GENIUS (GENIUS) fiyatı hakkındaki görüşleri aşağıda sunulmaktadır.