US DOJ Bitcoin Sales Spark Concern From US Senator

bitcoinistОпубликовано 2026-01-07Обновлено 2026-01-07

Введение

US Senator Cynthia Lummis expressed deep alarm after the US Department of Justice transferred and likely sold approximately 57.55 BTC (worth around $6.3 million) seized in a criminal case. The action contradicts a 2025 executive order by the President directing the creation of a US Strategic Bitcoin Reserve and requiring seized bitcoin to be held, not sold. Blockchain data showed the bitcoin was sent to a Coinbase Prime wallet and later liquidated. Lummis, who chairs a Senate subcommittee on digital assets, questioned the move and called for greater policy clarity and transparency. The incident has sparked broader questions about the government’s handling of seized crypto assets.

US Senator Cynthia Lummis on Tuesday pushed back after reports that the US Department of Justice moved and likely sold seized Bitcoin that some lawmakers expected to be held as a national asset.

According to on-chain tracking and multiple news outlets, about 57.55 BTC, roughly $6.3 million, was sent to a Coinbase Prime account and the receiving wallet later showed a zero balance, a sign the coins were probably liquidated.

Senator Lummis Raises Alarm

Based on reports, Senator Cynthia Lummis said she was “deeply concerned” that the transfer ran counter to a presidential directive issued earlier.

The directive, Executive Order 14233 signed in March 2025, sets out a plan to create a US Strategic Bitcoin Reserve and calls for seized Bitcoin to be held rather than sold.

Lummis, who chairs a Senate subcommittee on digital assets, questioned why seized coins were moved to an exchange custody account instead of being placed in reserve.

Why is the U.S. gov still liquidating bitcoin when @POTUS explicitly directed these assets be preserved for our Strategic Bitcoin Reserve? We can’t afford to squander these strategic assets while other nations are accumulating bitcoin. I’m deeply concerned about this report. https://t.co/XW5WxsfliA

— Senator Cynthia Lummis (@SenLummis) January 6, 2026

On-Chain Moves Point To Sale

Blockchain analysts flagged the movement after addresses tied to the seizure were traced to Coinbase Prime. Reports show the Coinbase address ended with a zero balance shortly after the transfer, which many observers read as an on-chain signal that the assets were sold.

Based on reports, the transfer involved digital assets seized from defendants linked to a recent criminal case, and the US Marshals Service executed the order from the Justice Department to move the coins.

BTCUSD now trading at $93,708. Chart: TradingView

Market Reaction And Numbers

The market showed a small reaction around the time of the reported sale. Bitcoin’s price dipped slightly from about $94,760 to near $93,600 at one point, according to price snapshots cited by news sites.

The said number of BTC is a small fraction of total circulating supply, but the trade drew attention because of the policy questions it raised and the political backdrop of a national reserve plan.

Questions About Policy And The Reserve

Lawmakers and crypto policy watchers now want clearer answers about when and how seized crypto is converted to cash. Reports have called for the Justice Department to explain its decision-making and to clarify whether current administration guidance requires holding seized Bitcoin for the Strategic Reserve.

Senator Lummis has pushed for formal rules and possible legislation that would prevent similar sales in the future.

So far, public statements from the Justice Department and the US Marshals Service have been limited in the public record, while Lummis and other proponents of the reserve have pressed for transparency.

Based on reports, some legal experts argue the government has discretion over forfeited property, while others say the new executive directive should reshape that practice.

Featured image from Pexels, chart from TradingView

Связанные с этим вопросы

QWhy is Senator Cynthia Lummis deeply concerned about the US Department of Justice's recent Bitcoin transfer?

AShe is deeply concerned because the transfer and likely sale of seized Bitcoin runs counter to Presidential Executive Order 14233, which directs that such assets be preserved for a US Strategic Bitcoin Reserve instead of being liquidated.

QWhat on-chain evidence suggests that the seized Bitcoin was sold?

ABlockchain analysts tracked the movement of about 57.55 BTC from addresses tied to the seizure to a Coinbase Prime account. The receiving wallet later showed a zero balance, which is a strong on-chain signal that the assets were liquidated.

QWhat is Executive Order 14233 and what does it mandate regarding seized Bitcoin?

AExecutive Order 14233, signed in March 2025, sets out a plan to create a US Strategic Bitcoin Reserve. It explicitly calls for seized Bitcoin to be held as a national strategic asset rather than being sold.

QWhich government agency was responsible for executing the transfer of the Bitcoin to the exchange?

AThe US Marshals Service executed the order from the Justice Department to move the seized coins to the exchange custody account.

QWhat has been the reaction from lawmakers and policy watchers following this event?

ALawmakers and crypto policy watchers are calling for clearer answers and transparency from the Justice Department. They want to know when and how crypto is converted to cash and are pushing for formal rules or legislation to prevent similar sales in the future to align with the strategic reserve plan.

Похожее

TechFlow Intelligence Bureau: Chip Stocks Lose Trillions in a Single Day, Bitcoin Falls Below $60,000, US-Iran Conflict Escalates

**Daily Tech & Markets Roundup: AI Advances, Market Turmoil, and Geopolitical Tensions** **AI / LLMs**: Anthropic's internal report on AI self-improvement sparked serious discussions about Recursive Self-Improvement (RSI). Meanwhile, debate continues on AI coding tools after Claude was accused of introducing bugs into the rsync codebase. In positive news, DeepSeek V4 Flash impressed in local deployment tests, and GitHub Copilot now supports custom endpoints for local models. A surprising research turn suggests removing chain-of-thought prompting can sometimes improve LLM performance. **Crypto / Web3**: Bitcoin plunged below $60,000, with its RSI hitting levels last seen during the COVID-19 crash, driven by strong U.S. jobs data reviving interest rate hike fears. Discussions highlight Ethereum DeFi's continued lack of a smooth consumer payment layer. **Chips / Hardware**: Chip stocks suffered a massive sell-off, with the Philadelphia Semiconductor Index posting its worst single-day drop in six years, erasing over a trillion dollars in value. Marvell, Micron, AMD, and Intel were among the biggest losers. **Tech Companies**: A leaked Microsoft document revealing goals to make Copilot "addictive" drew criticism. LinkedIn founder Reid Hoffman left Microsoft's board to focus full-time on his AI agent startup, Manus. Google was revealed to be paying SpaceX $920 million monthly for AI training compute. **Markets & Macro**: A blowout U.S. jobs report (172k vs. 80k expected) crushed hopes for near-term rate cuts, sending Treasury yields soaring and triggering a broad market sell-off. CEOs from Kraft, McDonald's, and Whirlpool simultaneously warned U.S. consumers are exhausting their savings. **Geopolitics**: U.S.-Iran tensions escalated with missile/drone interceptions and U.S. strikes on Iranian radar sites, keeping the critical Strait of Hormuz largely closed since late February and posing ongoing oil supply risks. **The Bottom Line**: The strong jobs data acted as a single trigger for correlated sell-offs across equities, crypto, and chips. Underlying the volatility is a stark contradiction between robust employment data and warnings of consumer weakness, alongside geopolitical risks that could reignite inflation, leaving markets to price in a fraught macro outlook with no clear "soft landing" path.

marsbit57 мин. назад

TechFlow Intelligence Bureau: Chip Stocks Lose Trillions in a Single Day, Bitcoin Falls Below $60,000, US-Iran Conflict Escalates

marsbit57 мин. назад

Solana Treasury Giant Sends 455,784 SOL To Coinbase Prime: Selling Move?

Forward Industries, the largest corporate holder of Solana (SOL), has deposited 455,784 SOL (worth approximately $31.87 million) to Coinbase Prime. This move is seen as a potential sign the company may be preparing to sell, as its treasury strategy is currently at a significant loss. The firm accumulated 6.83 million SOL at an average price of $232.08 in 2025, but with SOL now trading around $65, its holdings are valued at just $452 million, representing a steep decline. This action follows similar pressures on other major crypto treasury firms, like Bitcoin holder Strategy, which are also deep in the red due to the broader market downturn. Solana's price has fallen over 19% in the past week.

bitcoinist57 мин. назад

Solana Treasury Giant Sends 455,784 SOL To Coinbase Prime: Selling Move?

bitcoinist57 мин. назад

It Took Me a Year to See the Bitter Truth About Agent Payments

After a year building infrastructure for the Agent economy, engaging with major players like Stripe, Visa, and Coinbase, the author shares a sobering analysis of the current state of Agent payments. The core finding is a stark lack of genuine, immediate demand across most envisioned use cases. The article breaks down four key market segments: 1. **Agent-to-Merchant (Consumer Shopping):** For most product categories (e.g., clothing, electronics), conversational AI shopping is a step backwards from visual e-commerce interfaces. While agents excel at understanding needs, they can't replace side-by-side product comparison. Real merchant interest is defensive "Agent Engine Optimization," not driven by current customer demand. Potential exists for high-frequency, low-decision purchases (like food delivery) or navigating complex store UIs, but these require massive B2C distribution channels dominated by giants like Amazon. 2. **Agent-to-API (Developer Services):** Developers already have subscriptions and billing relationships for APIs (compute, data). Prepaid balances solve micro-payment issues for low transaction volumes. A deeper structural problem is that major SaaS vendors' business models rely on enterprise contracts, resisting granular pay-per-call pricing. While protocols like MPP and x402 serve the long tail of niche services, this market is small and developers are historically low-willingness-to-pay. 3. **Agent-to-Agent:** This remains largely theoretical with minimal transaction volume. While it represents a long-term bet on a fundamentally new transaction infrastructure (sub-second, micro-penny to million-dollar, multi-party settlements), it does not constitute a present market. 4. **Agent-to-Finance:** This is the only category with existing, paying demand. Integrating AI into financial workflows (trading, portfolio management) is a natural evolution and enables new capabilities like autonomous rebalancing. However, competition favors established, regulated institutions. The "real problem" is not moving money between agents, but the broader challenge of **coordination**—orchestrating work between agents and humans, verifying outcomes, and settling results. Payment is just one component of settlement, which is itself part of coordination. Companies that solve the coordination layer will subsume payment, not the other way around. While well-funded incumbents build defensively for a long-term future, startups must find where the market is today—which, for the author's team, lies outside these four categories in an area of real, growing, and underserved activity.

marsbit1 ч. назад

It Took Me a Year to See the Bitter Truth About Agent Payments

marsbit1 ч. назад

It Took Me a Year to See the Hard Truth About Agent Payments

**Title: It Took Me a Year to See the Hard Truth About Agent Payments** Over the past year, I've worked on infrastructure for the Agent economy, engaging with major players like Stripe, Visa, Coinbase, and numerous startups. The findings reveal a stark reality: genuine, widespread demand for Agent-based payments does not yet exist. **Key Observations:** * **Agent-to-Merchant (Shopping):** The user experience for AI shopping often falls short, especially for visual product discovery. While AI excels at understanding needs, conversational interfaces can't yet replace browsing and comparing multiple products visually. Current merchant interest is largely defensive ("Agent Engine Optimization") for a future that hasn't arrived. High-frequency, low-friction purchases (like food delivery) are potential fits, but lack open APIs and face high AI inference costs. Simpler, more affordable, or cross-language interactions for complex UIs are a niche opportunity but require massive consumer distribution to scale. * **Agent-to-API (Developer Tools):** Developer payment needs for APIs (computing, data, models) are already met through subscriptions and prepaid credits. The core challenge is not payment friction but supplier economics: most large SaaS providers prefer enterprise contracts over micropayments for API calls. Protocols like MPP and x402 suit the long-tail of smaller services but cater to a developer market historically reluctant to pay for these tools. Major infrastructure needs at the top of the stack are already being addressed. * **Agent-to-Agent (Machine Commerce):** This is a long-term vision with almost no current transaction volume. While a future with high-speed, high-frequency, multi-party machine-to-machine transactions would require novel infrastructure, it remains theoretical. The market is not here yet. * **Agent-to-Finance:** This is the only category with clear, present demand. Financial professionals and DeFi users already pay for tools, and AI augmentation is a natural evolution. Autonomous AI agents can enable entirely new financial strategies. However, competition is fierce from established, regulated incumbents who can more easily layer AI onto their existing products. **The Core Insight:** Companies, especially giants with long time horizons, are building defensively for a potential future of mass machine commerce. For them, early investment is a low-cost hedge. For startups, the current market reality is different. The primary challenge isn't just moving money between agents (payments). The larger, unsolved problem is **orchestration** – coordinating work between agents and humans, verifying outcomes, and then settling. Payment is just a part of settlement, which is just a part of orchestration. Companies that solve the orchestration problem will subsume payments, not the other way around. After a year of building, we see the real, growing, and underserved market opportunity lies in this broader domain of orchestration.

链捕手2 ч. назад

Claude Opus 4.8 Finds a $4.5 Billion Bug: The AI Era is Mass-Producing Hackers

A researcher discovered a critical "infinite mint" vulnerability in the Zcash cryptocurrency's Orchard protocol using Claude Opus 4.8, leading to a swift fix but also a 50% market drop, erasing billions in value. This incident highlights a new era where powerful, accessible AI models are dramatically lowering the barrier to finding software vulnerabilities. Previously, the security community feared specialized models like Claude Mythos Preview, capable of finding decades-old zero-day exploits. The Zcash case, however, involved a publicly available, general-purpose model. This shift makes advanced security auditing—and attack capabilities—accessible to far more people, not just experts. The mass democratization of vulnerability discovery brings a dual challenge: a flood of low-quality, AI-generated false reports that overwhelm maintainers, and the real, rapid uncovering of deep, dangerous bugs. Open-source projects, often understaffed and unfunded, are particularly vulnerable to this "attention DDoS." The article cites examples like curl shutting down its bug bounty program due to the unsustainable workload. Our perceived digital safety has often been luck, relying on the high cost and effort required to find deeply hidden flaws in complex systems, as seen with historical vulnerabilities like Heartbleed or Baron Samedit. AI changes this cost structure, effectively "mass-producing flashlights" to illuminate every corner of our codebase. While large companies operate extensive security chains involving external white-hat hackers and massive defensive operations, the global cybersecurity workforce faces a severe shortage, especially of experienced personnel capable of analyzing complex threats and coordinating fixes. The core dilemma emerges: AI makes *finding* bugs cheap and scalable, but *fixing* them remains a slow, expensive, and human-intensive process. The article concludes that AI won't destroy the internet but acts as a bright light, revealing that our digital existence is not inherently secure but is precariously maintained by ongoing human effort. The true cost in the AI era may not be discovery, but whether there will be enough people left willing and able to do the hard work of repair.

marsbit2 ч. назад

Claude Opus 4.8 Finds a $4.5 Billion Bug: The AI Era is Mass-Producing Hackers