SEC Approves Tokenized Securities—DTCC To Establish Blockchain Standards

ccn.comPubblicato 2025-12-12Pubblicato ultima volta 2025-12-12

Introduzione

The U.S. Securities and Exchange Commission (SEC) has approved the DTCC to develop a securities tokenization program. Its subsidiary, the Depository Trust Company, will establish standards for recording ownership of stocks, ETFs, and Treasuries on blockchain. This initiative aims to launch a pilot program in the second half of 2026. As the core of U.S. financial infrastructure, the DTCC processes quadrillions in transactions annually and will now define objective technology standards for tokenization. While it won’t mandate a specific blockchain, it will maintain a list of approved networks that meet its criteria. This move is expected to shape the future of tokenized securities globally, including decisions on approved blockchains and token data inscription requirements.

The Securities and Exchange Commission (SEC) has granted the Depositary Trust and Clearing Company (DTCC) approval to develop a securities tokenization program.

The Depository Trust Company, a DTCC subsidiary, is now tasked with developing standards to record the ownership of stocks, ETFs, and Treasuries on the blockchain.

Tokenization at the Heart of U.S. Financial Infrastructure

Some of the first tokenized securities in the U.S. include money market funds like Franklin Templeton’s FOBXX and BlackRock’s BUIDL.

Although these are real, regulated products, they exist outside of DTCC clearing and settlement.

Up until now, blockchain-powered issuance and settlement have existed as parallel rails that remain subordinate to the core financial infrastructure.

With a no-action letter from the SEC, the DTCC will move forward with a pilot tokenization scheme expected to launch in the second half of 2026.

DTCC To Set Blockchain Standards

As the United States’ primary central securities depository, pretty much every transfer of U.S. equities, corporate bonds, or notes runs through the DTCC, which processed transactions worth $3 quadrillion in 2023.

When it sets standards, they have implications for capital markets around the world.

In other words, the future of securities tokenization—questions like which blockchains will be approved and what kind of information tokens must be inscribed with—now rests with the DTC.

Rather than prescribing a particular blockchain, the SEC has tasked the DTC with defining objective technology standards that platforms must meet.

In practice, however, the organization will maintain a list of approved blockchains that meet its criteria.

Participants in the tokenization pilot are expected to receive this list in the coming months.

Letture associate

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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