U.S. Senators Press DOJ Deputy AG Over Alleged Crypto Conflicts of Interest

TheNewsCryptoPublicado em 2026-01-29Última atualização em 2026-01-29

Resumo

Six U.S. senators, including Mazie Hirono and Elizabeth Warren, have questioned Deputy Attorney General Todd Blanche over potential conflicts of interest regarding his role in the DOJ's cryptocurrency enforcement. They cited a 2025 memorandum in which he reduced crypto enforcement actions and dissolved a dedicated team, while reportedly holding between $158,000 and $470,000 in Bitcoin and Ethereum at the time. The senators allege this may violate federal ethics laws. They have demanded documents related to his holdings and communications with ethics officials by February 11, 2026, emphasizing oversight of DOJ policy changes affecting the digital asset industry. The DOJ has previously stated his financial disclosures were properly reviewed.

Six senators from the U.S. questioned Deputy Attorney General Todd W. Blanche about possible conflicts of interest concerning his role in the enforcement of cryptocurrencies at the Department of Justice (DOJ). In January 2026, U.S. Senators Mazie K. Hirono, Elizabeth Warren, Richard Durbin, Sheldon Whitehouse, Christopher Coons, and Richard Blumenthal questioned Blanche about his reduction of the enforcement of cryptocurrencies at the DOJ in relation to his large digital assets.

The letter by the senators refers to the memorandum by Blanche in April 2025, in which he ordered the DOJ to decrease the number of enforcement actions regarding cryptocurrencies and to “dissolve” the National Cryptocurrency Enforcement Team. The letter points out that at the time of this memorandum, Blanche had “significant” investments in Bitcoin and Ethereum, estimated to be between $158,000 and $470,000. The senators think that his involvement in this policy issue, while still holding these assets, at least raises the appearance of a conflict of interest, which may violate 18 U.S.C. 208(a), a federal law that regulates the management of personal financial interests and the decision-making process in the executive branch.

Enforcement and Ethics Compliance Issues

The letter from the senators demands that Blanche furnish information and correspondence with ethics officials regarding his holdings and the date of his divestment, which took place several months after he agreed to divest his holdings earlier in the year. The senators gave Blanche until February 11, 2026, to furnish the necessary documents, underscoring congressional oversight of the DOJ policy changes that affect the digital asset industry. The senators also reiterated their previous concerns regarding the DOJ’s cryptocurrency enforcement policy, including the possibility of sanctions evasion and illicit finance.

Blanche and the DOJ had previously stated that the process of his financial disclosures and potential conflicts of interest had been properly reviewed and cleared in advance, although this has been disputed by ethics officials and lawmakers alike.

The letter written by the senators to Deputy Attorney General Blanche involves high-level ethical and legal issues about DOJ decision-making and personal financial interests in the context of cryptocurrency enforcement policy. By writing the letter, lawmakers are exercising their oversight role and highlighting the importance of transparency in federal enforcement actions that include emerging digital markets. The outcome of this investigation may influence future debates on ethics guidelines and digital assets regulation at federal agencies.

Highlighted Crypto News:

XRP Millionaire Wallets Rise Again in Encouraging Sign for Long-Term Holders: Santiment

Criptomoedas em alta

CitreaCTR

wrapped stUSDTWSTUSDT

Velodrome FinanceVELODROME

BrevisBREV

ZRX（0X）ZRX

Perguntas relacionadas

QWhich U.S. Senators questioned Deputy Attorney General Todd W. Blanche about potential conflicts of interest regarding cryptocurrency enforcement?

AU.S. Senators Mazie K. Hirono, Elizabeth Warren, Richard Durbin, Sheldon Whitehouse, Christopher Coons, and Richard Blumenthal.

QWhat specific action did Deputy Attorney General Blanche take regarding cryptocurrency enforcement at the DOJ in April 2025?

AHe issued a memorandum ordering the DOJ to decrease the number of cryptocurrency enforcement actions and to dissolve the National Cryptocurrency Enforcement Team.

QWhat was the estimated value of Blanche's investments in Bitcoin and Ethereum mentioned in the senators' letter?

AThe investments were estimated to be between $158,000 and $470,000.

QWhich federal law do the senators suggest Blanche's actions may have violated?

A18 U.S.C. 208(a), a federal law that regulates the management of personal financial interests and decision-making in the executive branch.

QWhat information did the senators demand from Blanche and what was the deadline for his response?

AThey demanded information and correspondence with ethics officials regarding his holdings and the date of his divestment. The deadline given was February 11, 2026.

Leituras Relacionadas

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

Ethereum Q1 2026 Report: Fees Down, Users & Transactions Hit New Highs Token Terminal's Q1 2026 report on Ethereum presents a pivotal development: the network achieved record highs in monthly active users (13.2M, +85.9% YoY), total transactions (200.4M, +81.5% YoY), and throughput (25.78 TPS), while transaction fees on the mainnet plummeted by 47.9% quarter-over-quarter. This shift is attributed to the network's strategic move into a "low fees for scale" phase, exemplified by the Fusaka upgrade which increased data capacity and lowered block space costs, releasing pent-up demand (a manifestation of Jevons's Paradox). The report highlights a core narrative shift for Ethereum: from a DeFi-centric blockchain to a global financial settlement layer. It maintains a dominant position in tokenized assets, holding majority market shares among top chains in stablecoins (61.8%), tokenized funds (73.0%), and tokenized commodities (84.0%). Growth in tokenized funds (+73.1% YoY) and commodities (+325.9% YoY) was particularly strong, driven by institutions like BlackRock and JPMorgan entering the space. Contrasting these usage gains, several USD-denominated value metrics declined in Q1: fully diluted market cap fell 30.3% QoQ, total value locked (TVL) dropped 11.0%, and ecosystem transaction volume decreased 24.0%. The report interprets this as Ethereum prioritizing long-term network expansion and cementing its role as the default settlement layer for finance over short-term fee capture. The commentary from Etherealize argues that, much like the early internet, Ethereum's open, permissionless model is poised to win over closed alternatives as institutional tokenization accelerates.

marsbitHá 6m

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

marsbitHá 6m

Intel CEO Liwu Chen's First Podcast Interview: Our Goal is '10x in 5-10 Years', Betting on Advanced Packaging, Glass Substrate, and Synthetic Diamond

Intel CEO Chen Liwu outlines a bold vision for the company's transformation in a podcast interview, targeting a "10x return in 5-10 years." He emphasizes a strategic shift beyond traditional process node scaling, focusing on advanced packaging (like EMIB), new materials (glass substrates, GaN, SiC, InP, synthetic diamond), and system-level integration. Key to this is Intel's foundry business, where he prioritizes building trust through superior yield, defect density, and cycle times. Chen sees strong CPU demand resurgence driven by agent AI and inference workloads. He details the Terafab collaboration with Elon Musk to address semiconductor infrastructure gaps and stresses the strategic importance of U.S.-based advanced manufacturing. Acknowledging Intel is still in the "crawl" phase of his crawl-walk-run framework, Chen believes the company's full potential—extending from its PC base into edge computing and physical AI—will become apparent by 2030-2032.

marsbitHá 12m

Intel CEO Liwu Chen's First Podcast Interview: Our Goal is '10x in 5-10 Years', Betting on Advanced Packaging, Glass Substrate, and Synthetic Diamond

marsbitHá 12m

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

Pete Florence, a former senior research scientist at Google DeepMind and a key contributor to the Vision-Language-Action (VLA) model architecture, is deliberately distancing his startup, Generalist AI, from the trendy "world model" label. He argues that the industry should prioritize concrete goals over buzzwords. His goal is to create robots that can perform a vast range of unseen tasks with high speed and success rates, without needing task-specific training data. Recently, his company raised $400 million (¥2.7 billion) at a $2 billion valuation. Notable investors include NVIDIA's NVentures, Bezos Expeditions, NFDG, as well as Xiaomi co-founder Lin Bin, Zoom founder Eric Yuan, and renowned AI scientist Fei-Fei Li. Florence's approach stems from his academic background at MIT under Professor Russ Tedrake, focusing on understanding the physical world. After joining DeepMind, he developed models like Transporter Network and co-created the VLA framework. He left in 2025 to found Generalist AI. The company has launched two models: GEN-0, which demonstrated that scaling laws apply to physical motion, and GEN-1. GEN-1 was trained on over 500,000 hours of physical interaction data collected via a specialized wearable device. It achieves a 99% success rate on precise mechanical tasks like folding boxes and maintains performance three times faster than its predecessor. Florence believes GEN-1 is reaching a commercial utility threshold similar to the GPT-3 inflection point. The substantial funding round, following GEN-1's release, signifies strong investor confidence in Generalist AI's practical, goal-driven path to creating versatile, useful robots, regardless of the "world model" terminology.

marsbitHá 12m

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

marsbitHá 12m

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

In three days, Google lost two AI legends. On June 18, Noam Shazeer, co-author of the seminal "Attention is All You Need" paper and Gemini co-lead, left for OpenAI. Just 48 hours later, John Jumper, 2024 Nobel laureate and AlphaFold lead, departed DeepMind for Anthropic. This follows Andrej Karpathy joining Anthropic in May. These moves highlight a structural trend: top AI talent is concentrating at mission-driven, pre-IPO firms like OpenAI and Anthropic, while Google becomes a primary source. The exodus stems from a core mission mismatch. Google's ad-centric model often subordinates AI research to product and revenue goals, creating friction for pioneers like Shazeer, who returned in 2024 only to leave again. In contrast, OpenAI and Anthropic offer singular focus on pushing AI boundaries, whether towards AGI or safety-aligned models, which deeply appeals to top researchers like Jumper. Financial incentives amplify the pull. With both OpenAI and Anthropic nearing IPO, employees stand to gain immensely from equity, an upside Google's mature stock cannot match. Furthermore, the 2023 merger of Google Brain and DeepMind, intended to consolidate strength, has instead created cultural tension and slowed the path from research to product, as evidenced by Gemini's pace. This talent redistribution is reshaping the AI landscape. While Google retains vast data and compute resources, its true crisis is the quiet, continuous loss of the people who define the field's future. The real moat in AI is not infrastructure, but the concentration of brilliant minds—a battle Google is currently losing.

marsbitHá 2h

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

marsbitHá 2h

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

Beyond the familiar performance charts like MMLU-Pro and MMMU, which major AI models strive to ace, stands a key "examiner": Chinese-Canadian researcher Wenhu Chen. An assistant professor at the University of Waterloo and founder of TIGERLab, Chen addresses the crucial need for more rigorous AI evaluation. As models like GPT-4 began scoring near-perfect results on older benchmarks like MMLU, it became difficult to distinguish their true capabilities. In response, Chen introduced MMLU-Pro in 2024, featuring harder, more reasoning-focused questions with more answer choices, successfully reintroducing meaningful performance gaps. His work extends to multi-modal evaluation with MMMU and its enhanced version, MMMU-Pro. These benchmarks test a model's ability to understand and reason with complex information from images, charts, and text across diverse academic subjects, exposing the significant challenges even top models face in genuine comprehension. Chen's background in complex QA, table reasoning, and his experience at Google DeepMind on projects like Gemini inform his approach. He understands that effective benchmarks must anticipate how models might "cheat" by memorizing data or avoiding visual analysis. His lab also actively researches video understanding and generation models (e.g., UniVideo, Vamba), ensuring his evaluation work is grounded in practical model-building challenges. Now at Meta's Super Intelligence Lab, Chen continues his focus on multi-modal data and evaluation, representing the deep yet often unseen contributions of Chinese talent in shaping the fundamental tools of the AI industry.

marsbitHá 2h

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

marsbitHá 2h

Trading

Spot

Futuros

Artigos em Destaque

Como comprar AB

Bem-vindo à HTX.com!Tornámos a compra de AB (AB) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar AB (AB) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu AB (AB)Depois de comprar o teu AB (AB), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona AB (AB)Transaciona facilmente AB (AB) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

529 Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.02

Discussões

Bem-vindo à Comunidade HTX. Aqui, pode manter-se informado sobre os mais recentes desenvolvimentos da plataforma e obter acesso a análises profissionais de mercado. As opiniões dos utilizadores sobre o preço de AB (AB) são apresentadas abaixo.