Republicans' Leadership Squabbles Delayed U.S. Crypto Bills Until 2024, Key Lawmakers Say

CoinDeskPolicyPubblicato 2023-11-29Pubblicato ultima volta 2023-11-30

Introduzione

Republican Rep. French Hill and Democrat Rep. Jim Himes see potential future floor votes for crypto bills being key to convincing the Democrat-controlled Senate to play ball.

  • Republicans had hoped to get U.S. crypto legislation through the House this year, but key lawmakers are now targeting 2024.
  • A Democrat who has negotiated on the legislation said success in the House may move the Democrat-controlled Senate.

After months of hoping U.S. crypto legislation could win House of Representatives approval this year, lawmakers doing much of the behind-the-scenes work are looking to 2024 as the time when digital assets bills may get passed by that Republican-controlled chamber though the efforts still face an uphill climb in the Senate where Democrats have the reins.

U.S. Rep. French Hill (R-Ark.), the chairman of the House Financial Services Committee's subcommittee that focuses on digital assets, said the House's consideration of two major crypto bills – one to regulate U.S. stablecoin issuers and another to form a broad system of rules for crypto markets – has likely shifted into "early 2024."

The House Republicans' recent fight over installing a new speaker – which ensnared key crypto negotiator Rep. Patrick McHenry (R-N.C.) as stand-in speaker for a time – delayed the floor time lawmakers needed for the legislation, Hill said at a Blockchain Association event in Washington on Thursday.

Advertisement
Advertisement

"That, I think, set us back a little bit," echoed Sen. Cynthia Lummis (R-Wyo.) at the same event. Lummis, who has been pressing her own wide-ranging crypto legislation in the Senate, also suggested that the stablecoin bill, specifically, will make more progress next year. "That is an area that could come early in 2024."Rep. Jim Himes (D-Conn.), who has also occupied a leading role in the House negotiations for both bills as the committee's top Democrat Rep. Maxine Waters (D-Calif.) withdrew support, suggested the industry needs to counter what House Democrats are hearing from outside groups and U.S. Securities and Exchange Commission Chair Gary Gensler – a dedicated critic of the industry.

He was among a handful of Democrats on the House Financial Services Committee to buck his party's ranking member on the committee to favor both crypto bills this year. Waters has since indicated she's still open to moving forward on legislation, and Himes said Thursday that if Waters gets on board and the overall House approves a bill, "a Democratic Senate sits up and takes notice."

"On the other side of the Capitol, the weather is uglier," Himes said of the crypto views of some Senate Democrats, including Sen. Sherrod Brown (D-Ohio), who runs the Senate Banking Committee. "You could see a path, but I think it probably starts with a strong bipartisan vote" in the House, Himes said.

Brown's banking committee "has been a tough nut to crack," said Lummis, who is a member of that panel. But she said the fact that the U.S. Department of the Treasury recently came forward with crypto illicit-finance policy proposals is a good sign that the administration is now willing to negotiate, which could nudge the Senate Democrats, too.

Advertisement
Advertisement

Hill argues that the implosion of FTX last year and the recent massive settlement and criminal conviction of Binance, which may give some lawmakers pause about the sector, should actually encourage pursuit of the legislation. He said each example of bad behavior "only reinforces that we need to do this and do it the right way." Having no regulations in place "is what's going to advantage illicit finance."

So, even if a crypto bill passes the House next year, it still needs approval in the Senate and a presidential signature. In practical terms, that may require plugging it into a more complex package and attaching it to must-move legislation, such as a spending bill.

"Passing laws takes time," Sen. Kirsten Gillibrand (D-N.Y.), who has partnered with Lummis on crypto legislation, warned the industry crowd on Thursday.

"Not that many people care about cryptocurrency," Gillibrand argued, advising the industry to keep educating people. "The rest of the country doesn't know what you're doing."

Edited by Nick Baker.

Letture associate

Where Is the AI Infrastructure Industry Chain Stuck?

The AI infrastructure (AI Infra) industry chain is facing unprecedented systemic bottlenecks, despite the rapid emergence of applications like DeepSeek and Seedance 2.0. The surge in global computing demand has exposed critical constraints across multiple layers of the supply chain—from core manufacturing equipment and data center cabling to specialty materials and cleanroom facilities. Key challenges include four major "walls": - **Memory Wall**: High-bandwidth memory (HBM) and DRAM face structural shortages as AI inference demand outpaces training, with new capacity not expected until 2027. - **Bandwidth Wall**: Data transfer speeds lag behind computing power, causing multi-level bottlenecks in-chip, between chips, and across data centers. - **Compute Wall**: Advanced chip manufacturing, reliant on EUV lithography and monopolized by ASML, remains the fundamental constraint, with supply chain fragility affecting production. - **Power Wall**: While energy demand from data centers is rising, power supply is a solvable near-term challenge through diversified energy infrastructure. Expansion is further hindered by shortages in testing equipment, IC substrates (critical for GPUs and seeing price hikes over 30%), specialty materials like low-CTE glass fiber, and high-end cleanroom facilities. Connection technologies are evolving, with copper cables resurging for short-range links due to cost and latency advantages, while optical solutions dominate long-range scenarios. Innovations like hollow-core fiber and advanced PCB technologies (e.g., glass substrates, mSAP) are emerging to meet bandwidth needs. In summary, AI Infra bottlenecks are multidimensional, spanning compute, memory, bandwidth, power, and supply chain logistics. Advanced chip manufacturing remains the core constraint, while substrate, material, and equipment shortages present immediate challenges. The industry is moving toward hybrid copper-optical solutions and accelerated domestic supply chain development.

marsbit28 min fa

Where Is the AI Infrastructure Industry Chain Stuck?

marsbit28 min fa

Autonomy or Compatibility: The Choice Facing China's AI Ecosystem Behind the Delay of DeepSeek V4

DeepSeek V4's repeated delay in early 2026 has sparked global discussions on "de-CUDA-ization" in AI. The highly anticipated trillion-parameter open-source model is undergoing deep adaptation to Huawei’s Ascend chips using the CANN framework, representing China’s first systematic attempt to run a core AI model outside the CUDA ecosystem. This shift, however, comes with significant engineering challenges. While the model uses a MoE architecture to reduce computational load, it places extreme demands on memory bandwidth, chip interconnects, and system scheduling—areas where NVIDIA’s mature CUDA ecosystem currently excels. Migrating to Ascend introduces complexities in hardware topology, communication latency, and software optimization due to CANN’s relative immaturity compared to CUDA. The move highlights a broader strategic dilemma: short-term compatibility with CUDA offers practical benefits and faster adoption, as seen in CANN’s efforts to emulate CUDA interfaces. Yet, long-term over-reliance on compatibility risks inheriting CUDA’s limitations and stifling native innovation. If global AI shifts away from transformer-based architectures, strict compatibility could lead to technological obsolescence. Despite these challenges, DeepSeek V4’s eventual release could demonstrate the viability of a full domestic AI stack and accelerate CANN’s ecosystem growth. However, true technological independence will require building an original software-hardware paradigm beyond compatibility—a critical task for China’s AI ambitions in the next 3-5 years.

marsbit46 min fa

Autonomy or Compatibility: The Choice Facing China's AI Ecosystem Behind the Delay of DeepSeek V4

marsbit46 min fa

How Blockchain Fills the Identity, Payment, and Trust Gaps for AI Agents?

AI Agents are rapidly evolving into autonomous economic participants, but they face critical gaps in identity, payment, and trust infrastructure. They currently lack standardized ways to prove who they are, what they are authorized to do, and how they should be compensated across different environments. Blockchain technology is emerging as a solution to these challenges by providing a neutral coordination layer. Public ledgers offer auditable credentials, wallets enable portable identities, and stablecoins serve as a programmable settlement layer. A key bottleneck is the absence of a universal identity standard for non-human entities—akin to "Know Your Agent" (KYA)—which would allow Agents to operate with verifiable, cryptographically signed credentials. Without this, Agents remain fragmented and face barriers to interoperability. Additionally, as AI systems take on governance roles, there is a risk that centralized control over models could undermine decentralized governance in practice. Cryptographic guarantees on training data, prompts, and behavior logs are essential to ensure Agents act in users' interests. Stablecoins and crypto-native payment rails are becoming the default for Agent-to-Agent commerce, enabling seamless, low-cost transactions for AI-native services. These systems support permissionless, programmable payments without traditional merchant onboarding. Finally, as AI scales, human oversight becomes impractical. Trust must be built into system architecture through verifiable provenance, on-chain attestations, and decentralized identity systems. The future of Agent economies depends on cryptographically enforced accountability, allowing users to delegate tasks with clearly defined constraints and transparent operation logs.

marsbit1 h fa

How Blockchain Fills the Identity, Payment, and Trust Gaps for AI Agents?

marsbit1 h fa

Trading

Spot
Futures
活动图片