Crypto Firms Propose Key Stablecoin Concessions To Advance CLARITY Act – Report

bitcoinistPublicado a 2026-02-06Actualizado a 2026-02-06

Resumen

Crypto firms are proposing key concessions to banks in an effort to advance the stalled CLARITY Act, a major US crypto market structure bill. The main point of contention is the treatment of stablecoin rewards. Banks argue that interest-bearing stablecoins threaten the financial system and distort credit creation. In response, crypto companies have offered compromises, such as giving community banks a larger role by having them hold a portion of stablecoin reserves or issue tokens. However, not all parties agree, and it's unclear if these proposals will resolve the dispute. The Senate Banking Committee's draft, which bans interest payments to passive token holders, has faced heavy criticism from crypto leaders who argue it would kill innovation. Recent White House-mediated talks ended without a resolution, but lawmakers remain hopeful a compromise can be reached.

Crypto firms are reportedly stepping up efforts to advance the highly anticipated market structure bill by proposing potential compromises to address some of the banking sector’s concerns on stablecoins.

Crypto Firms Offer Stablecoin Compromises

On Wednesday, Bloomberg reported that multiple crypto companies have been allegedly trying to “win over” banks to salvage the crypto market structure bill, known as the CLARITY Act.

The crypto bill has been stalled in the US Senate for weeks as crypto industry leaders and banks have been unable to reach an agreement on one of the bill’s main topics, stablecoin rewards, in the Senate Banking Committee’s portion of the legislation.

The US banking industry has repeatedly expressed concerns about stablecoin policies, claiming that interest payments will distort market dynamics and affect credit creation in the country. Bank of America CEO Brian Moynihan recently told investors that the banking sector, especially small- and medium-sized businesses, could face significant challenges if Congress does not prohibit interest-bearing stablecoins.

According to people familiar with the matter, industry participants are offering banks new concessions regarding these concerns, as part of their efforts to advance the long-awaited crypto legislation.

For instance, the firms have reportedly proposed giving community banks a larger role in the stablecoin system, allowing them to hold reserves or issue tokens through partnerships. Notably, they suggested requiring stablecoin issuers to maintain a portion of their reserves at community banks.

Not all crypto companies agree with the proposed ideas, Bloomberg sources noted, emphasizing that the two sides haven’t resolved their differences. Moreover, it remains unclear whether the concessions satisfactorily address banks’ concerns. However, it is “a sign that they’re redoubling efforts to keep the market-structure bill moving,” the report added.

The Stablecoin Rewards Dispute

As reported by Bitcoinist, banks have heavily criticized the landmark stablecoin legislation, the GENIUS Act, affirming that it has loopholes that could pose risks to the financial system.

For context, the crypto framework prohibits interest payments on the holding or use of payment-purpose stablecoins but only addresses stablecoin issuers. As a result, banking associations across the US pressed the Senate Banking Committee to add language to the CLARITY Act that also bans digital asset exchanges, brokers, dealers, and related entities.

The Senate Banking Committee published its draft last month, which received heavy backlash from crypto industry leaders for introducing key restrictions for stablecoin issuers.

Under the proposed draft, issuers would be able to offer rewards for specific actions, such as account openings and cashback. Nonetheless, they would be prohibited from providing interest payments to passive token holders. Coinbase’s CEO Brian Armstrong argued that “would kill rewards on stablecoins,” and allow banks to “ban their competition.”

This led to a delay of the Senate Banking Committee’s markup session, initially scheduled for mid-January, and an extended negotiation process between lawmakers and leaders from the two industries.

Earlier this week, the Trump administration oversaw a White House meeting with crypto and banking groups, including PayPal, Ripple, Coinbase, Multicoin, Circle, the American Bankers Association, and the Bank Policy Institute, to ease the regulatory debate.

The negotiation reportedly ended without an agreement on how to address the dispute but led to “constructive discussion on the risks and opportunities of stablecoin yield and rewards.”

Senate Banking Committee Chairman Senator Tim Scott recently affirmed that he is still hopeful the two sides can reach a balance. “We can protect consumers and community banks while still allowing innovation and competition to lower prices and expand access,” he stated. “Both sides are working toward a compromise that keeps innovation here in America.”

Bitcoin (BTC) trades at $69,702 on the one-week chart. Source: BTCUSDT on TradingView

Preguntas relacionadas

QWhat is the main purpose of the proposed concessions by crypto firms regarding the CLARITY Act?

AThe main purpose is to address the banking sector's concerns about stablecoins, particularly regarding interest payments, in order to advance the stalled crypto market structure bill and win over banks' support.

QWhat specific compromise did crypto firms propose to involve community banks in the stablecoin system?

ACrypto firms proposed giving community banks a larger role by allowing them to hold reserves or issue tokens through partnerships, and requiring stablecoin issuers to maintain a portion of their reserves at community banks.

QWhy have banks expressed concerns about stablecoin policies, according to Bank of America CEO Brian Moynihan?

ABanks are concerned that interest payments on stablecoins will distort market dynamics and affect credit creation, potentially posing significant challenges to the banking sector, especially small- and medium-sized businesses.

QWhat key restriction in the Senate Banking Committee's draft legislation has drawn criticism from crypto industry leaders like Coinbase's CEO?

AThe draft prohibits stablecoin issuers from providing interest payments to passive token holders, which critics argue would kill rewards on stablecoins and allow banks to ban their competition.

QWhat was the outcome of the recent White House meeting between crypto and banking groups regarding the stablecoin dispute?

AThe meeting ended without an agreement on how to address the dispute but led to a constructive discussion on the risks and opportunities of stablecoin yield and rewards.

Lecturas Relacionadas

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

OpenAI engineer Weng Jiayi's "Heuristic Learning" experiments propose a new paradigm for Agentic AI, suggesting that intelligent agents can improve not just by training neural networks, but also by autonomously writing and refining code based on environmental feedback. In the experiment, a coding agent (powered by Codex) was tasked with developing and maintaining a programmatic strategy for the Atari game Breakout. Starting from a basic prompt, the agent iteratively wrote code, ran the game, analyzed logs and video replays to identify failures, and then modified the code. Through this engineering loop of "code-run-debug-update," it evolved a pure Python heuristic strategy that achieved a perfect score of 864 in Breakout and performed competitively with deep reinforcement learning (RL) algorithms in MuJoCo control tasks like Ant and HalfCheetah. This approach, termed Heuristic Learning (HL), contrasts with Deep RL. In HL, experience is captured in readable, modifiable code, tests, logs, and configurations—a software system—rather than being encoded solely into opaque neural network weights. This offers potential advantages in explainability, auditability for safety-critical applications, easier integration of regression tests to combat catastrophic forgetting, and more efficient sample use in early learning stages, as demonstrated in broader tests on 57 Atari games. However, the blog acknowledges clear limitations. Programmatic strategies struggle with tasks requiring long-horizon planning or complex perception (e.g., Montezuma's Revenge), areas where neural networks excel. The future vision is a hybrid architecture: specialized neural networks for fast perception (System 1), HL systems for rules, safety, and local recovery (also System 1), and LLM agents providing high-level feedback and learning from the HL system's data (System 2). The core proposition is that in the era of capable coding agents, a significant portion of an AI's learned experience could be maintained as an auditable, evolving software system.

marsbitHace 20 min(s)

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

marsbitHace 20 min(s)

Your Claude Will Dream Tonight, Don't Disturb It

This article explores the recent phenomenon of AI companies increasingly using anthropomorphic language—like "thinking," "memory," "hallucination," and now "dreaming"—to describe machine learning processes. Focusing on Anthropic's newly announced "Dreaming" feature for its Claude Agent platform, the piece explains that this function is essentially an automated, offline batch processing of an agent's operational logs. It analyzes past task sessions to identify patterns, optimize future actions, and consolidate learnings into a persistent memory system, akin to a form of reinforcement learning and self-correction. The article draws parallels to similar features in other AI agent systems like Hermes Agent and OpenClaw, which also implement mechanisms for reviewing historical data, extracting reusable "skills," and strengthening long-term memory. It notes a key difference from human dreaming: these AI "dreams" still consume computational resources and user tokens. Further context is provided by discussing the technical challenges of managing AI "memory" or context, highlighting the computational expense of large context windows and innovations like Subquadratic's new model claiming drastically longer contexts. The core critique argues that this strategic use of human-centric vocabulary does more than market products; it subtly reshapes user perception. By framing algorithms with terms associated with consciousness, companies blur the line between tool and autonomous entity. This linguistic shift can influence user expectations, tolerance for errors, and even perceptions of responsibility when systems fail, potentially diverting scrutiny from the companies and engineers behind the technology. The article concludes by speculating that terms like "daydreaming" for predictive task simulation might be next, continuing this trend of embedding the idea of an "inner life" into computational processes.

marsbitHace 22 min(s)

Your Claude Will Dream Tonight, Don't Disturb It

marsbitHace 22 min(s)

Trading

Spot
Futuros
活动图片