Crypto Has Changed — CFTC Withdraws Years-Old Virtual Currency Rules

bitcoinistPubblicato 2025-12-13Pubblicato ultima volta 2025-12-13

Introduzione

The CFTC has withdrawn its 2020 guidance on the "actual delivery" of cryptocurrencies, which had used a 28-day test to determine if a crypto transaction should be treated as a spot sale or a regulated futures contract. Acting Chairman Caroline D. Pham called the old rules outdated and complex, stating the move aims to promote access to safer U.S. markets. While industry participants welcomed the withdrawal for providing more flexibility, legal experts warn it creates regulatory uncertainty. The decision aligns with the Trump administration's policy to modernize digital asset rules. The CFTC may issue new guidance, such as FAQs, and is considering public input. Market operators are now evaluating potential changes to product offerings and custody procedures.

The Commodity Futures Trading Commission announced on Dec. 11, 2025 that it has withdrawn its 2020 interpretive guidance on when a crypto trade counts as “actual delivery,” a move the agency said responds to major changes in crypto markets and trading practices.

According to the CFTC press release, Acting Chairman Caroline D. Pham called the guidance “outdated and overly complex” and said removing it will help promote access to safer US markets.

Actual Delivery And The 28-Day Test

According to the 2020 rulebook and federal filings, the CFTC’s earlier guidance treated a retail crypto trade as excluded from futures-style rules if the asset reached the buyer’s control within 28 days of the transaction — a technical standard used to decide whether a deal was a spot sale or a regulated futures-style transaction.

That guidance included examples showing when transfer on a public ledger or control over a wallet would or would not count as actual delivery. The 28-day reference is rooted in the Commodity Exchange Act’s existing exceptions and was central to how many platforms structured retail offerings.

Industry Reaction And Risk

Reports have disclosed that many market participants greeted the withdrawal with relief, saying it gives exchanges more room to design products and operate without a narrow staff interpretation dictating settlement timing.

Some lawyers and platform staff argued the 2020 tests made it hard for venues to offer certain customer-facing services unless they met strict delivery steps.

Total crypto market cap currently at $3.11 trillion. Chart: TradingView

At the same time, legal observers warned that pulling the guidance without a clear replacement leaves open questions about how regulators will treat similar trades going forward, and which platforms must register as futures venues.

How The Move Fits In Politically

Based on reports, the action was framed as part of policy priorities under US President Donald Trump’s administration to modernize rules that affect digital asset markets.

Image: Flowcarbon

The CFTC said the change lines up with broader interagency efforts and public engagement initiatives the agency has been running this year. That framing has prompted renewed attention from exchanges, trading firms, and lawmakers who are watching for any follow-up steps.

The CFTC signaled it may seek public input and consider new materials to replace the withdrawn guidance, including FAQs or fresh interpretive notes.

Market operators will now weigh operational changes and legal advice as they decide whether to alter product design or customer terms.

Some firms are expected to adjust custody and transfer procedures, while others may wait for clearer written standards before making big changes.

Featured image from Quality Company Formations, chart from TradingView

Letture associate

Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

In a span of four days, Amazon announced an additional $25 billion investment, and Google pledged up to $40 billion—both direct competitors pouring over $65 billion into the same AI startup, Anthropic. Rather than a typical venture capital move, this signals the latest escalation in the cloud wars. The core of the deal is not equity but compute pre-orders: Anthropic must spend the majority of these funds on AWS and Google Cloud services and chips, effectively locking in massive future compute consumption. This reflects a shift in cloud market dynamics—enterprises now choose cloud providers based on which hosts the best AI models, not just price or stability. With OpenAI deeply tied to Microsoft, Anthropic’s Claude has become the only viable strategic asset for Google and Amazon to remain competitive. Anthropic’s annualized revenue has surged to $30 billion, and it is expanding into verticals like biotech, positioning itself as a cross-industry AI infrastructure layer. However, this funding comes with constraints: Anthropic’s independence is challenged as it balances two rival investors, its safety-first narrative faces pressure from regulatory scrutiny, and its path to IPO introduces new financial pressures. Globally, this accelerates a "tri-polar" closed-loop structure in AI infrastructure, with Microsoft-OpenAI, Google-Anthropic, and Amazon-Anthropic forming exclusive model-cloud alliances. In contrast, China’s landscape differs—investments like Alibaba and Tencent backing open-source model firm DeepSeek reflect a more decoupled approach, though closed-source models from major cloud providers still dominate. The $65 billion bet is ultimately about securing a seat at the table in an AI-defined future—where missing the model layer means losing the cloud war.

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Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

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Computing Power Constrained, Why Did DeepSeek-V4 Open Source?

DeepSeek-V4 has been released as a preview open-source model, featuring 1 million tokens of context length as a baseline capability—previously a premium feature locked behind enterprise paywalls by major overseas AI firms. The official announcement, however, openly acknowledges computational constraints, particularly limited service throughput for the high-end DeepSeek-V4-Pro version due to restricted high-end computing power. Rather than competing on pure scale, DeepSeek adopts a pragmatic approach that balances algorithmic innovation with hardware realities in China’s AI ecosystem. The V4-Pro model uses a highly sparse architecture with 1.6T total parameters but only activates 49B during inference. It performs strongly in agentic coding, knowledge-intensive tasks, and STEM reasoning, competing closely with top-tier closed models like Gemini Pro 3.1 and Claude Opus 4.6 in certain scenarios. A key strategic product is the Flash edition, with 284B total parameters but only 13B activated—making it cost-effective and accessible for mid- and low-tier hardware, including domestic AI chips from Huawei (Ascend), Cambricon, and Hygon. This design supports broader adoption across developers and SMEs while stimulating China's domestic semiconductor ecosystem. Despite facing talent outflow and intense competition in user traffic—with rivals like Doubao and Qianwen leading in monthly active users—DeepSeek has maintained technical momentum. The release also comes amid reports of a new funding round targeting a valuation exceeding $10 billion, potentially setting a new record in China’s LLM sector. Ultimately, DeepSeek-V4 represents a shift toward open yet realistic infrastructure development in the constrained compute landscape of Chinese AI, emphasizing engineering efficiency and domestic hardware compatibility over pure model scale.

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Computing Power Constrained, Why Did DeepSeek-V4 Open Source?

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