Ripple CEO Says Clarity Act Has 90% Chance of Passing by April

TheNewsCryptoPublicado a 2026-02-20Actualizado a 2026-02-20

Resumen

Ripple CEO Brad Garlinghouse estimates a 90% chance that the Clarity Act will pass through the U.S. Congress by the end of April, following recent discussions between crypto industry leaders and regulators. The bill aims to provide jurisdictional clarity by defining whether digital assets are securities or commodities, with key regulatory roles for the SEC and CFTC. While some complex issues, particularly around stablecoin regulation, remain, Garlinghouse noted that negotiations have narrowed outstanding disagreements. Passage of the act would mark a significant shift in U.S. crypto regulation, potentially encouraging greater institutional involvement by resolving long-standing legal uncertainties.

Brad Garlinghouse, the CEO of Ripple, stated that he thinks the Clarity Act will be passed through the U.S. Congress by the end of April. Garlinghouse estimated that there was a 90% chance of this happening, based on the recent talks in Washington. This was said during and after a meeting at the White House that was held between the leaders of the crypto industry and the banking regulators.

During an interview with Fox Business, Garlinghouse stated that stakeholders focused on the foundational aspects of the bill, such as jurisdictional clarity. The bill seeks to establish the regulatory jurisdiction of major U.S. agencies over digital assets. The bill will provide clarity on whether certain tokens qualify as securities or commodities.

Garlinghouse pointed out that many of the outstanding issues had been narrowed down after talks between the industry and the regulators. This came after several weeks of negotiations between lawmakers, the crypto industry, and Treasury officials. The stablecoin provisions were also part of the talks. The stablecoin yield provisions have made the initial versions of the bill complicated.

However, Garlinghouse also admitted that a compromise may be required to pass the legislation this spring. Other industry officials and prediction markets have also cited a narrowing timeline. Legislators are hoping to move the Clarity Act forward before the congressional recess in April. Some estimates place the chances of passage slightly lower than Garlinghouse’s estimate, but still high.

Regulatory Environment and Industry Implications

The Clarity Act aims to offer long-overdue federal regulatory clarity regarding digital asset regulation. It would provide a clearer definition of jurisdiction between the Securities and Exchange Commission and the Commodity Futures Trading Commission. Industry insiders believe that regulatory clarity could encourage institutional involvement.

Lack of a clear legal framework has resulted in enforcement uncertainty and innovation stagnation for businesses. Regulations on the issuance and trading of stablecoins are some of the most contentious issues in the bill. The White House and Senate panels have been working to reconcile these differences. Passage by Congress would represent a major change in the course of U.S. crypto regulation.

Highlighted Crypto News:

Metaplanet CEO Defends Disclosure Practices Amid Bitcoin Strategy Criticism

Tags# BradGarlinghouseBrad GarlinghouseCFTCClarity ACTRippleSECStablecoin

Preguntas relacionadas

QWhat is the estimated probability that the Clarity Act will pass by the end of April, according to Ripple's CEO?

ABrad Garlinghouse estimates there is a 90% chance that the Clarity Act will be passed by the U.S. Congress by the end of April.

QWhat was the main focus of the discussions between crypto industry leaders and regulators at the White House meeting?

AThe discussions focused on the foundational aspects of the Clarity Act, particularly on establishing jurisdictional clarity for major U.S. agencies over digital assets and determining whether certain tokens qualify as securities or commodities.

QWhy does the article suggest that a compromise might be necessary for the Clarity Act to pass this spring?

AA compromise may be required due to the contentious issues within the bill, such as the regulations on the issuance and trading of stablecoins, which have made the initial versions complicated and require reconciliation of differences.

QWhat are the two major U.S. regulatory agencies that the Clarity Act seeks to define jurisdiction between for digital assets?

AThe Clarity Act seeks to provide a clearer definition of jurisdiction between the Securities and Exchange Commission (SEC) and the Commodity Futures Trading Commission (CFTC).

QWhat potential positive outcome does the article suggest could result from providing regulatory clarity for digital assets?

AIndustry insiders believe that regulatory clarity could encourage greater institutional involvement in the crypto industry, as a clear legal framework would reduce enforcement uncertainty and help overcome innovation stagnation.

Lecturas Relacionadas

GPT-5.6 Countdown: Abandon the Illusion of a Single API, Computational Iteration Can't Outpace a Single Page of Compliance

In mid-June, three seemingly independent industry events—the compliance-driven throttling of Fable 5, the open-sourcing of GLM-5.2, and the leaked release timeline for GPT-5.6—are pushing the global AI industry toward a watershed moment. These shifts signal a fundamental restructuring of the industry's underlying logic. First, **"usability" has substantially overtaken "advanced capabilities"** as the primary weight, pushing the global large language model (LLM) supply chain into a "dual-track" phase of controlled closed-source and local open-source coexistence. Second, **the competitive moats of closed-source giants are shifting**. Their technical focus is moving from "language intelligence" toward "spatial intelligence (world models)"—a domain heavily reliant on computing power. Third, faced with常态化 transnational compliance risks, **a "model-agnostic" decoupled design has become a survival necessity for application-layer developers to maintain business continuity.** The article details how Anthropic's Fable 5, despite its advanced engineering feats, was restricted for non-U.S. citizens within 72 hours of launch, highlighting how geopolitical compliance can instantly limit even the most advanced models. In response, the open-source camp, exemplified by Zhipu AI's MIT-licensed GLM-5.2, is gaining market share by offering stable performance improvements and significant cost advantages (up to 70% savings for enterprises), while achieving full adaptation with domestic semiconductor platforms. Meanwhile, closed-source leaders like OpenAI are pivoting. The anticipated GPT-5.6 reportedly shifts focus from language to spatial intelligence and world models, aiming to rebuild a generational gap in areas like 3D understanding, simulation, and industrial design that demand immense compute. The core conclusion is that the LLM supply chain's logic has changed. Enterprises must now evaluate infrastructure based on a composite of technical performance and policy compliance. For developers, complete reliance on a single closed-source API poses unacceptable risk. Implementing a truly model-agnostic architecture—enabling swift switches to compliant, locally deployable open-source alternatives—is no longer just good practice but a fundamental baseline for business continuity.

marsbitHace 1 hora(s)

GPT-5.6 Countdown: Abandon the Illusion of a Single API, Computational Iteration Can't Outpace a Single Page of Compliance

marsbitHace 1 hora(s)

Is the 'Token Subsidy War' Among AI Giants Almost Over?

The article discusses the ongoing "token subsidy war" among AI giants like OpenAI and Anthropic, questioning whether it's nearing its end. It reveals that current AI subscription prices are heavily subsidized, with some plans offering tokens at up to 70 times the actual cost to attract and retain heavy users, especially developers and enterprises. This strategy mirrors past internet-era subsidy battles, but with a key difference: AI tokens lack "lock-in" effects. Unlike ride-hailing or food delivery apps, users can easily switch between AI providers as APIs become standardized, making it difficult for companies to raise prices post-subsidy. The piece highlights a structural asymmetry in the competition. Giants like Google, with massive advertising revenue, can afford to subsidize tokens indefinitely, akin to using "tokens as a weapon." In contrast, venture-backed companies like OpenAI and Anthropic face pressure to become profitable, especially as they approach IPO. The article cites Google Ventures founder Bill Maris, who suggests Google could slash token prices by 80%, putting immense pressure on competitors. Two potential endgames are presented: the "internet service" model (subsidize, monopolize, then raise prices) and the "utility" model (tokens become a standardized, low-margin commodity like electricity). Given the low switching costs, the latter seems more likely. The competition may not have a single winner but could instead accelerate AI's evolution into a foundational, infrastructure-level technology, akin to a public utility. For now, users continue to benefit from heavily subsidized token costs.

marsbitHace 1 hora(s)

Is the 'Token Subsidy War' Among AI Giants Almost Over?

marsbitHace 1 hora(s)

Beyond the Stadium: The Profitable Games Surrounding the World Cup

"Beyond the Pitch: The Profit Game Around the World Cup" The FIFA World Cup transcends being a sporting spectacle, evolving into a massive global arena for speculation and profit-seeking. The 2026 tournament has amplified this dynamic, creating a multi-layered ecosystem of financial opportunism alongside the football. **Prediction markets** have surged into the mainstream. Platforms like Polymarket and Kalshi saw trading volumes for World Cup contracts soar, attracting new users with their financial trading model and high-profile, chain-based wealth stories that overshadow traditional sports betting in terms of growth and narrative. However, **traditional sportsbooks** remain the dominant force, leveraging established user habits, legal markets, and comprehensive product offerings to handle the vast majority of speculative wagers, with projections suggesting record-breaking betting volumes. Capital markets also react. **"Concept stocks"** in countries like South Korea and Japan experience volatile price swings based on team performance and anticipated fan spending on items like chicken, beer, and viewing parties, effectively becoming a stock market reflecting fan sentiment. The **ticket resale market** has become a sophisticated arena for arbitrage. Prices fluctuate wildly based on team draws and star power, with sellers sometimes listing tickets they don't yet own in a practice akin to short-selling, while FIFA's own "Right to Buy" tokens add another layer of speculative trading. **Collectibles and merchandise** offer another avenue. Panini sticker albums, with their inherent scarcity and nostalgic value, can become high-value collectibles. Limited-edition or locally themed jerseys command significant premiums on secondary markets, and even counterfeit vendors profit from fans' desire for affordable match-day identity. The **cryptocurrency** space has seen a frenzy of speculative, unauthorized World Cup-themed meme coins on chains like Solana. These tokens, often exploiting team names and player imagery, experience extreme pump-and-dump cycles, creating stories of massive gains for a few early entrants and steep losses for many others. Finally, an entire industry thrives on **providing information and tools** to other speculators. Developers create platforms like SeatSidekick to track ticket inventory and prices, while paid Telegram groups and subscriptions sell betting tips and predictions, monetizing the widespread desire for an informational edge. In essence, the World Cup has become a compressed, global laboratory for speculation. While the games determine champions on the field, a parallel, complex network of financial transactions—spanning prediction contracts, bets, stocks, tickets, collectibles, crypto, and information services—settles its own scores in the global market.

marsbitHace 2 hora(s)

Beyond the Stadium: The Profitable Games Surrounding the World Cup

marsbitHace 2 hora(s)

How Does Codex Use a Computer? Three Entry Points and Permission Boundaries

This article explains the three primary methods for Codex to interact with a computer, each with distinct use cases, permission boundaries, and trust levels. **1. Computer Use:** This offers the broadest access, allowing Codex to visually control and interact with the graphical user interface of authorized macOS/Windows apps, system settings, and even iOS simulators. It's ideal for tasks lacking APIs or structured tools, such as operating legacy software or multi-app workflows. However, it's the slowest method and has the widest permission scope, requiring careful supervision for sensitive actions. **2. Chrome Extension:** This grants Codex access to the user's logged-in Chrome browser state, including cookies, profiles, and open tabs. It's best for tasks requiring user identity across websites like Gmail, LinkedIn, Salesforce, or internal dashboards. Its key advantage is multi-tab control for complex workflows. While more powerful for browser-based tasks than Computer Use, it carries higher sensitivity as actions are performed under the user's identity. **3. In-App Browser:** This is a browser isolated within the Codex thread, separate from the user's personal browsing data. It excels in web development and debugging scenarios—previewing local servers, testing responsive layouts, or annotating designs directly on the page. Its isolation is a strength for development but a limitation for tasks requiring login sessions. The core principle is to choose the narrowest, safest, and most structured interface for the task. Use plugins or MCPs first, resort to visual control (Computer Use) only for GUI-dependent tasks, employ the Chrome extension for identity-reliant browser work, and prefer the In-App Browser for isolated development. **Appshots** are clarified as a fourth, complementary tool for *inputting* context—capturing a screenshot of a window to point Codex to something—rather than a method for Codex to *act*. Together, this layered approach highlights a key to AI agent productization: not granting unlimited permissions, but constraining them within clear boundaries for specific tasks while preserving user oversight.

marsbitHace 3 hora(s)

How Does Codex Use a Computer? Three Entry Points and Permission Boundaries

marsbitHace 3 hora(s)

Trading

Spot
Futuros
活动图片