US senator sounds alarm on DeFi, cites PancakeSwap amid market structure delay

cointelegraphОпубліковано о 2025-12-16Востаннє оновлено о 2025-12-16

Анотація

US Senator Elizabeth Warren has called on the Treasury Department and the Department of Justice to investigate potential national security risks posed by decentralized cryptocurrency exchanges, specifically citing PancakeSwap and Uniswap. In a letter to officials, she expressed concerns over money laundering linked to North Korea and possible improper political influence from the Trump administration, including allegations that PancakeSwap promoted coins tied to the Trump family’s crypto venture. Warren emphasized the need for clarity on whether authorities are seriously examining these risks as Congress considers DeFi-related market structure legislation. The markup hearing for the Responsible Financial Innovation Act has been delayed to 2026. Separately, crypto advocate and XRP lawyer John Deaton, who previously ran against Warren, announced he will campaign again for the Senate in 2026.

US Senator Elizabeth Warren, one of the more outspoken voices against digital assets in Congress, is calling for answers from Justice Department and Treasury Department officials about a potential investigation into decentralized crypto exchanges, citing concerns over PancakeSwap and Uniswap.

In a Monday letter to Treasury Secretary Scott Bessent and US Attorney General Pam Bondi, Warren asked whether their respective departments were “investigating significant national security risks posed by decentralized cryptocurrency exchanges like PancakeSwap.”

The Massachusetts senator raised concerns about “improper political influence” from the Trump administration over the selective enforcement of crypto companies and reports of money laundering tied to North Korea, asking for a response by Jan. 12.

“As Congress considers crypto market structure legislation—including rules to prevent terrorists, criminals, and rogue states from exploiting decentralized finance (DeFi) to fund their activities—it is critical to understand whether you are seriously investigating these risks,” Warren wrote to Bessent and Bondi, adding:

“The public deserves to know whether you are investigating the serious risks identified by national security experts and the crypto industry itself.”
Monday letter from Senator Elizabeth Warren. Source: Senate Banking Committee

Warren’s letter came as the US Senate prepared to wind down activities before the chamber broke for the holidays. Some Republicans on the Banking Committee had expected to address the digital market structure bill, known as the Responsible Financial Innovation Act, before the end of the year. However, Chair Tim Scott confirmed on Monday that a markup hearing on the legislation had been pushed to 2026.

Related: Top US Democrat signals fight over crypto market structure

The Massachusetts senator also raised concerns over reports that PancakeSwap had been “drumming up interest among traders to use coins issued by the Trump family’s main crypto company, World Liberty Financial.”

Some Senate Democrats have raised concerns about the US president’s potential influence and conflicts of interest regarding the legislation, given his and his family’s ties to the crypto industry.

XRP lawyer who challenged Warren in 2024 will run again

John Deaton, the lawyer who ran against Warren in the 2024 US election, is making another bid for Congress. Deaton has been an advocate for XRP (XRP) holders in court, emerging as a prominent figure in the cryptocurrency industry over the past few years.

In November, he announced that he would run as a Republican for the US Senate again in 2026. Warren is not up for reelection next year, so Deaton will be attempting to unseat Democratic Senator Ed Markey.

Magazine: When privacy and AML laws conflict: Crypto projects’ impossible choice

Пов'язані матеріали

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbit10 год тому

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbit10 год тому

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbit11 год тому

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbit11 год тому

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbit12 год тому

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbit12 год тому

Торгівля

Спот
Ф'ючерси

Популярні статті

Як купити US

Ласкаво просимо до HTX.com! Ми зробили покупку Talus Network (US) простою та зручною. Дотримуйтесь нашої покрокової інструкції, щоб розпочати свою криптовалютну подорож.Крок 1: Створіть обліковий запис на HTXВикористовуйте свою електронну пошту або номер телефону, щоб зареєструвати обліковий запис на HTX безплатно. Пройдіть безпроблемну реєстрацію й отримайте доступ до всіх функцій.ЗареєструватисьКрок 2: Перейдіть до розділу Купити крипту і виберіть спосіб оплатиКредитна/дебетова картка: використовуйте вашу картку Visa або Mastercard, щоб миттєво купити Talus Network (US).Баланс: використовуйте кошти з балансу вашого рахунку HTX для безперешкодної торгівлі.Треті особи: ми додали популярні способи оплати, такі як Google Pay та Apple Pay, щоб підвищити зручність.P2P: Торгуйте безпосередньо з іншими користувачами на HTX.Позабіржова торгівля (OTC): ми пропонуємо індивідуальні послуги та конкурентні обмінні курси для трейдерів.Крок 3: Зберігайте свої Talus Network (US)Після придбання Talus Network (US) збережіть його у своєму обліковому записі на HTX. Крім того, ви можете відправити його в інше місце за допомогою блокчейн-переказу або використовувати його для торгівлі іншими криптовалютами.Крок 4: Торгівля Talus Network (US)Легко торгуйте Talus Network (US) на спотовому ринку HTX. Просто увійдіть до свого облікового запису, виберіть торгову пару, укладайте угоди та спостерігайте за ними в режимі реального часу. Ми пропонуємо зручний досвід як для початківців, так і для досвідчених трейдерів.

1.2k переглядів усьогоОпубліковано 2025.12.11Оновлено 2025.12.11

Як купити US

Обговорення

Ласкаво просимо до спільноти HTX. Тут ви можете бути в курсі останніх подій розвитку платформи та отримати доступ до професійної ринкової інформації. Нижче представлені думки користувачів щодо ціни US (US).

活动图片