Crypto Scammers Face Heat As SAFE Crypto Act Draws Top US Enforcers

bitcoinistОпубликовано 2025-12-18Обновлено 2025-12-18

Введение

A bipartisan bill introduced in December 2025, the Strengthening Agency Frameworks for Enforcement of Cryptocurrency (SAFE Crypto) Act, aims to combat rising cryptocurrency fraud. The legislation proposes a national task force involving Treasury officials, law enforcement, regulators, and private experts to detect, track, and shut down crypto-related scams in real-time. It also focuses on public education to help consumers identify fraud and provides local police with training and blockchain analytics tools. Industry experts warn that crypto scams have resulted in billions in losses, and proponents argue the bill would close enforcement gaps, potentially disrupting criminal operations using decentralized and cross-border systems.

A bipartisan bill introduced on Dec. 15, 2025 would form a national response to rising cryptocurrency fraud, aiming to give law enforcement and regulators new tools to stop scams as they happen.

According to the sponsors, the Strengthening Agency Frameworks for Enforcement of Cryptocurrency (SAFE Crypto) Act creates a coordinated federal effort to detect, track, and shut down illicit schemes that use crypto rails.

Task Force To Target Crypto Scams

The bill would set up a task force that pulls together Treasury officials, federal and local law enforcement, regulators, and private-sector experts to share intelligence and act quickly on threats.

Reports have disclosed that the legislation is pitched as a way to get real-time visibility on suspicious activity and to give local police better technical help when they investigate.

Senators Elissa Slotkin (D-MI) and Jerry Moran (R-KS) are listed as the bill’s proponents. The measure appears in Congress under a title that would establish a “Task Force for Recognizing and Averting Cryptocurrency Scams,” and is referenced by bill number S.3428 in congressional records. As of Dec. 17, 2025, the full legislative text had not been posted on the Congressional site.

BTCUSD now trading at $86,862. Chart: TradingView

Public Education And Local Support

The sponsors say the task force will do more than hunt scammers. It will fund public awareness work so consumers can spot fake investment pitches, phishing schemes, and impersonation fraud.

Local law enforcement would get training and access to blockchain analytics tools, the backers say, so officers can follow illicit funds and identify criminal networks before victims lose large sums.

Crypto criminals are employing new tactics to defraud more people, latest investigations show. Image: TechHQ.

Industry figures quoted in the announcement said crypto fraud has been large and growing. According to one industry policy lead cited by the sponsors, “Over the last two years, we’ve tracked billions in scams and fraud across the crypto ecosystem.” That warning is a central piece of the case lawmakers are making for faster, coordinated action.

Cybercriminals: Panic Mode

Gabriel Shapiro, general counsel at crypto investment firm Delphi Labs, said that if the SAFE Crypto Act is carried out effectively, it could leave crypto scammers scrambling to stay ahead of enforcement.

Shapiro added in a post on X on Tuesday that “scammers will probably end up sh*tting themselves if this goes hard,” stressing that the US attorney general, the director of the Financial Crimes Enforcement Network, and the director of the US Secret Service would be among the senior officials leading efforts to pursue the bad guys.

Why Lawmakers Are Pushing Now

Lawmakers argue that criminals have grown more skilled at using decentralized systems and cross-border services to hide proceeds. The SAFE Crypto Act is being presented as a way to narrow that gap by making public and private responders work from a shared playbook. The initiative is part of a wave of digital currency-related policy moves being discussed in Congress this year.

Featured image from Unsplash, chart from TradingView

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.

marsbit12 ч. назад

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

marsbit12 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 US

Добро пожаловать на HTX.com! Мы сделали приобретение Talus Network (US) 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 Talus Network (US).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 Talus Network (US)После приобретения вами Talus Network (US) 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 Talus Network (US)С легкостью торгуйте Talus Network (US) 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.

470 просмотров всегоОпубликовано 2025.12.11Обновлено 2025.12.11

Как купить US

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 US (US) представлены ниже.

活动图片