What Ripple’s CEO Appearance At The Banking Committee Means For XRP

bitcoinistОпубликовано 2025-12-10Обновлено 2025-12-10

Введение

Ripple CEO Brad Garlinghouse's appearance at the Senate Banking Committee highlighted XRP's role in building the "internet of value," emphasizing its use for fast, low-cost, and scalable cross-border transactions. He advocated for clearer crypto regulations to resolve past legal uncertainties, referencing Ripple's partial victory against the SEC, which ruled XRP is not a security. A separate analysis by DAS Research suggests XRP is evolving into global payment infrastructure, supported by its technical advantages and Ripple's new stablecoin, RLUSD. XRP's price was around $2.08 at the time of writing.

Crypto pundit JackTheRippler recently drew the community’s attention to Ripple CEO Brad Garlinghouse’s appearance at the Senate Banking Committee hearing. The CEO spoke about XRP amid his talk on how his company is building the “internet of value.”

Ripple CEO Talks About XRP During Banking Committee Appearance

In an X post, JackTheRippler shared a video of the Ripple CEO at the Banking Committee hearing, where he spoke about Ripple and XRP. Garlinghouse stated that they were building the internet of value, where money moves as easily as information. He added that their payment services were made possible through the use of the XRP Ledger (XRPL) and its native token XRP.

The Ripple CEO further noted that XRP is built to enable fast, low-cost, and highly scalable transactions, which makes it suitable as the bridge currency for their cross-border payment services. Garlinghouse made these comments in relation to his testimony on the need for “smart” crypto regulations, including market-structure legislation, to eliminate regulatory uncertainty and advance innovation in the U.S.

The CEO mentioned that his company was among the notable victims of the previous SEC administration’s regulation-by-enforcement approach. The commission had sued the crypto firm, arguing that XRP was a security and that the firm had violated securities laws through institutional sales of the token.

However, as the CEO noted, Judge Torres ruled that XRP was not a security in itself. Garlinghouse believes that the crypto market structure legislation will help the crypto industry progress while also protecting consumers, like XRP holders, who were affected by the SEC vs. Ripple lawsuit. XRP’s price was affected by uncertainty about its legal status at the time of the lawsuit, which spanned over four years.

DAS Research Provides Bull Case For XRP

In an X post, market expert Stern Drew highlighted a report from DAS Research, which provided a bull case for XRP. Drew highlighted how the report stated that XRP and Ripple are no longer competing in crypto. Instead, they are evolving into a global payment infrastructure, which will be adopted by banks, fintechs, and cross-border networks that demand speed, scale, and settlement certainty.

Drew further pointed out three core realities highlighted by the report. The first is that XRP is said to have the structural advantage with fast settlement, low cost, being a neutral bridge asset on a globally distributed ledger, and with institutional-grade reliability.

The expert noted that this is why adoption is rising among enterprises that need predictable value transfer. The other two realities are Ripple’s integration of the RLUSD stablecoin and its institutional partnerships, which will help boost XRP’s utility.

At the time of writing, the XRP price is trading at around $2.08, up in the last 24 hours, according to data from CoinMarketCap.

XRP trading at $2.08 on the 1D chart | Source: XRPUSDT on Tradingview.com

Похожее

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 ч. назад

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

marsbit10 ч. назад

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 ч. назад

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

marsbit11 ч. назад

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 ч. назад

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

marsbit12 ч. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Как купить S

Добро пожаловать на HTX.com! Мы сделали приобретение Sonic (S) простым и удобным. Следуйте нашему пошаговому руководству и отправляйтесь в свое крипто-путешествие.Шаг 1: Создайте аккаунт на HTXИспользуйте свой адрес электронной почты или номер телефона, чтобы зарегистрироваться и бесплатно создать аккаунт на HTX. Пройдите удобную регистрацию и откройте для себя весь функционал.Создать аккаунтШаг 2: Перейдите в Купить криптовалюту и выберите свой способ оплатыКредитная/Дебетовая Карта: Используйте свою карту Visa или Mastercard для мгновенной покупки Sonic (S).Баланс: Используйте средства с баланса вашего аккаунта HTX для простой торговли.Третьи Лица: Мы добавили популярные способы оплаты, такие как Google Pay и Apple Pay, для повышения удобства.P2P: Торгуйте напрямую с другими пользователями на HTX.Внебиржевая Торговля (OTC): Мы предлагаем индивидуальные услуги и конкурентоспособные обменные курсы для трейдеров.Шаг 3: Хранение Sonic (S)После приобретения вами Sonic (S) храните их в своем аккаунте на HTX. В качестве альтернативы вы можете отправить их куда-либо с помощью перевода в блокчейне или использовать для торговли с другими криптовалютами.Шаг 4: Торговля Sonic (S)С легкостью торгуйте Sonic (S) на спотовом рынке HTX. Просто зайдите в свой аккаунт, выберите торговую пару, совершайте сделки и следите за ними в режиме реального времени. Мы предлагаем удобный интерфейс как для начинающих, так и для опытных трейдеров.

1.3k просмотров всегоОпубликовано 2025.01.15Обновлено 2025.03.21

Как купить S

Sonic: Обновления под руководством Андре Кронье – новая звезда Layer-1 на фоне спада рынка

Он решает проблемы масштабируемости, совместимости между блокчейнами и стимулов для разработчиков с помощью технологических инноваций.

2.2k просмотров всегоОпубликовано 2025.04.09Обновлено 2025.04.09

Sonic: Обновления под руководством Андре Кронье – новая звезда Layer-1 на фоне спада рынка

HTX Learn: Пройдите обучение по "Sonic" и разделите 1000 USDT

HTX Learn — ваш проводник в мир перспективных проектов, и мы запускаем специальное мероприятие "Учитесь и Зарабатывайте", посвящённое этим проектам. Наше новое направление .

1.8k просмотров всегоОпубликовано 2025.04.10Обновлено 2025.04.10

HTX Learn: Пройдите обучение по "Sonic" и разделите 1000 USDT

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на S (S) представлены ниже.

活动图片