CLARITY Act Moves to Senate Markup Next Week, Tim Scott Says

TheNewsCryptoPublicado em 2026-01-07Última atualização em 2026-01-07

Resumo

Senator Tim Scott announced the Digital Asset Market Clarity Act will undergo a Senate markup next week, a key step for U.S. crypto legislation. The bill aims to establish a uniform market structure for digital assets. Scott emphasized the importance of the upcoming committee vote, noting months of draft reviews and negotiations. Despite progress, the bill faces unresolved divisions within the industry. Some experts, like Gabriel Shapiro, believe a compromise is possible, while others, such as Alex Thorn, remain skeptical due to ongoing disagreements. Democrats are pushing for stricter measures, including DeFi sanctions compliance and enhanced authority for the OFAC. Regulatory uncertainty has contributed to market volatility, with significant outflows from crypto investment products recently reported. As the Senate prepares to debate the bill, stakeholders emphasize the need to balance innovation, enforcement, and investor protection, as the outcome could shape the future of crypto markets in the U.S.

A Senate markup of the Digital Asset Market Clarity Act has been announced for next week, marking a critical point in the future of U.S. cryptocurrency legislation, according to Tim Scott. A new cryptocurrency bill has been proposed in order to create a uniform market structure for the cryptocurrency market.

“Next Thursday, we’ll have a vote on market structure,” Scott told Breitbart News on Tuesday. “It’s important for us to get on the record and vote,” Scott added that committee members have reviewed multiple drafts over the past six months, underscoring sustained negotiations ahead of the markup.

Scott’s comments align with December remarks from David Sacks, who said the landmark legislation would reach the Senate in January. The U.S. House of Representatives has approved a measure called the CLARITY Act as of July 2025. Should the Senate enact the legislation unchanged, then it would go straight to Donald Trump for final approval.

Outstanding issues keep the industry divided

Despite the progress, the bill still faces unresolved disagreements. Crypto executives and policy experts have debated its scope since it was introduced in May 2025, and opinions remain split as the Senate vote approaches.

Gabriel Shapiro, founder of MetaLeX, said the U.S. is “probably going to get a crypto market structure bill,” but cautioned that concerns around illicit finance persist. He suggested lawmakers could still reach a compromise to address those risks.

Others express more skepticism. Alex Thorn, head of research at Galaxy Digital, said after reviewing notes from a bipartisan Senate meeting that it remains “unclear if the two sides can come together.” Thorn pointed to several unresolved issues that could slow passage.

Democrats continue to press for changes, including requirements for DeFi front-ends to comply with sanctions and block illegal transactions. They also want to grant the Office of Foreign Assets Control special measures to act against entities linked to illicit activity.

However, Nic Carter, founding partner of Castle Island Ventures, felt that such demands were “actually pretty reasonable,” leaving scope for bipartisan support.

Markets react to regulatory uncertainty

Some market actors have pointed out that the recent volatility has been caused in part by the delay regarding the CLARITY Act. CoinShares recently attributed $952 million in outflows from crypto investment products during the week ending Dec. 19 to prolonged regulatory uncertainty, including delays in passing the bill.

Meanwhile, Coinbase Institutional’s head of strategy, John D’Agostino, said on CNBC that he understands why the process has taken time. “It’s a type of legislation that’s much more foundational to the development of crypto or any asset class, really,” he continued.

However, with the Senate on the verge of a markup session, the CLARITY Act is at a crossroads. A balance has to be struck regarding innovation, enforcement, and investor protections. The decision that is to come could determine the future of the crypto markets in the US.

Highlighted Crypto News:

Upbit Enables $CRO Staking, Expanding Cronos Access for Korean Users

TagsBlockchainCryptocrypto regulationDeFiDigital Asset

Perguntas relacionadas

QWhat is the name of the cryptocurrency bill being discussed in the Senate and what is its primary purpose?

AThe bill is called the Digital Asset Market Clarity Act (CLARITY Act). Its primary purpose is to create a uniform market structure for the cryptocurrency market.

QAccording to the article, what is a major point of disagreement among lawmakers regarding the bill?

AA major point of disagreement is that Democrats are pressing for changes, including requirements for DeFi front-ends to comply with sanctions and block illegal transactions, and to grant the Office of Foreign Assets Control special measures to act against entities linked to illicit activity.

QHow did CoinShares link recent market volatility to the CLARITY Act?

ACoinShares attributed $952 million in outflows from crypto investment products during the week ending Dec. 19 to prolonged regulatory uncertainty, including delays in passing the CLARITY Act.

QWhat is the next immediate step for the CLARITY Act in the legislative process, as announced by Tim Scott?

AThe next immediate step is a Senate markup session and a vote on market structure scheduled for the following Thursday.

QWhat did Alex Thorn of Galaxy Digital suggest about the bill's chances of passing?

AAlex Thorn suggested it remains 'unclear if the two sides can come together,' pointing to several unresolved issues that could slow the bill's passage.

Leituras 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.

marsbitHá 50m

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

marsbitHá 50m

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.

marsbitHá 52m

Your Claude Will Dream Tonight, Don't Disturb It

marsbitHá 52m

Trading

Spot
Futuros
活动图片