Trump Backs U.S. Clarity Act, Accuses Major Banks of Undermining GENIUS

TheNewsCryptoPublicado a 2026-03-04Actualizado a 2026-03-04

Resumen

Former U.S. President Donald Trump has called for the enactment of the U.S. Clarity Act, which aims to link the country’s economic strength with clear cryptocurrency regulations. In a speech to lawmakers and industry representatives, Trump accused major financial institutions of stifling innovation by impeding technological progress. He argued that regulatory ambiguity has driven crypto businesses and talent overseas, and that well-defined legislation would attract investment and bolster U.S. financial competitiveness. Trump emphasized that legislative clarity would balance innovation with investor protection, warning that the U.S. risks falling behind other nations that offer more certain regulatory environments. The Clarity Act has garnered bipartisan support and seeks to clarify the roles of the CFTC and SEC regarding digital assets, potentially reducing compliance costs and encouraging market confidence. The bill also includes provisions for certain exemptions to foster innovation. Negotiations over the final language of the legislation are ongoing amid mixed reactions from financial institutions and other stakeholders.

The former president of the United States, Donald Trump, urged lawmakers to enact the U.S. Clarity Act, which links the economic prowess of the country with clear crypto rules. In a speech to lawmakers and industry representatives, Trump urged them to enact the Clarity Act to bring clarity to crypto markets. In the speech, Trump accused big financial institutions of undermining innovation in the country by slowing down technological advancements.

Trump claimed that unclear rules have harmed the development of crypto businesses and encouraged talent to move abroad. However, with clear legislation, the country can attract investment and increase its financial prowess globally. In addition, the former president urged lawmakers to avoid excessive regulation without clear legislative backing.

However, enforcement-based regulation, as described by Trump, creates uncertainty for both entrepreneurs and established businesses. According to him, legislative clarity can strike a balance between innovation and investor protection. The statements made by Trump underscored his view that America is at risk of losing a competitive advantage in digital asset regulation. He said that if other countries are able to provide certainty in their regulation, they could attract capital and talent from the American market.

Trump urged lawmakers to put aside their differences and help him move the Clarity Act forward. He said that the bill has already gained bipartisan support from both Congress and the Senate. The statements made by Trump underscored the debate about regulating new financial technologies. The Clarity Act has been supported by those who believe that institutional and retail participation can be facilitated by a clear legal framework, while others believe that poorly structured laws could become barriers to innovation.

Regulatory Context and Market Implications of the Clarity Act

The purpose of the Clarity Act is to determine the jurisdiction of the CFTC and the SEC in different digital assets. According to its proponents, this will help reduce compliance costs for crypto firms. Analysts have pointed out that regulatory confusion has been a problem for various platforms in the crypto space.

There is also a provision for special exemptions for different digital asset activities to encourage innovation in the space. According to various market participants who have been tracking the bill’s progress in Congress, this will help build confidence in the market. Different financial institutions have reacted to the bill in different ways.

Others recognize the potential for legal certainty to facilitate the integration of digital assets into traditional systems of finance. Negotiations on the language of the final bills are underway for lawmakers, and the debate continues on the response from various stakeholders before the final passage.

Highlighted Crypto News:

Pardoned BitMEX Cofounder Pledges £20 Million to London Maths Institute

TagsBlockchainCFTCClarity ACTDonald Trump PardonGenius ACTSECTRUMPU.SUnited States

Preguntas relacionadas

QWhat is the main purpose of the U.S. Clarity Act according to Donald Trump?

AThe main purpose of the U.S. Clarity Act is to link the economic prowess of the country with clear crypto rules, bringing clarity to crypto markets and attracting investment.

QWho does Trump accuse of undermining innovation in the United States?

ATrump accuses big financial institutions of undermining innovation in the country by slowing down technological advancements.

QWhat two regulatory bodies' jurisdictions does the Clarity Act aim to determine for digital assets?

AThe Clarity Act aims to determine the jurisdiction of the CFTC (Commodity Futures Trading Commission) and the SEC (Securities and Exchange Commission) for different digital assets.

QAccording to the article, what problem has regulatory confusion caused for crypto platforms?

ARegulatory confusion has been a problem for various platforms in the crypto space by increasing compliance costs and creating uncertainty.

QWhat potential benefit does the Clarity Act offer to encourage innovation, as mentioned by its proponents?

AThe Clarity Act offers special exemptions for different digital asset activities to encourage innovation in the space and help build market confidence.

Lecturas Relacionadas

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

In three days, Google lost two AI legends. On June 18, Noam Shazeer, co-author of the seminal "Attention is All You Need" paper and Gemini co-lead, left for OpenAI. Just 48 hours later, John Jumper, 2024 Nobel laureate and AlphaFold lead, departed DeepMind for Anthropic. This follows Andrej Karpathy joining Anthropic in May. These moves highlight a structural trend: top AI talent is concentrating at mission-driven, pre-IPO firms like OpenAI and Anthropic, while Google becomes a primary source. The exodus stems from a core mission mismatch. Google's ad-centric model often subordinates AI research to product and revenue goals, creating friction for pioneers like Shazeer, who returned in 2024 only to leave again. In contrast, OpenAI and Anthropic offer singular focus on pushing AI boundaries, whether towards AGI or safety-aligned models, which deeply appeals to top researchers like Jumper. Financial incentives amplify the pull. With both OpenAI and Anthropic nearing IPO, employees stand to gain immensely from equity, an upside Google's mature stock cannot match. Furthermore, the 2023 merger of Google Brain and DeepMind, intended to consolidate strength, has instead created cultural tension and slowed the path from research to product, as evidenced by Gemini's pace. This talent redistribution is reshaping the AI landscape. While Google retains vast data and compute resources, its true crisis is the quiet, continuous loss of the people who define the field's future. The real moat in AI is not infrastructure, but the concentration of brilliant minds—a battle Google is currently losing.

marsbitHace 1 hora(s)

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

marsbitHace 1 hora(s)

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

Beyond the familiar performance charts like MMLU-Pro and MMMU, which major AI models strive to ace, stands a key "examiner": Chinese-Canadian researcher Wenhu Chen. An assistant professor at the University of Waterloo and founder of TIGERLab, Chen addresses the crucial need for more rigorous AI evaluation. As models like GPT-4 began scoring near-perfect results on older benchmarks like MMLU, it became difficult to distinguish their true capabilities. In response, Chen introduced MMLU-Pro in 2024, featuring harder, more reasoning-focused questions with more answer choices, successfully reintroducing meaningful performance gaps. His work extends to multi-modal evaluation with MMMU and its enhanced version, MMMU-Pro. These benchmarks test a model's ability to understand and reason with complex information from images, charts, and text across diverse academic subjects, exposing the significant challenges even top models face in genuine comprehension. Chen's background in complex QA, table reasoning, and his experience at Google DeepMind on projects like Gemini inform his approach. He understands that effective benchmarks must anticipate how models might "cheat" by memorizing data or avoiding visual analysis. His lab also actively researches video understanding and generation models (e.g., UniVideo, Vamba), ensuring his evaluation work is grounded in practical model-building challenges. Now at Meta's Super Intelligence Lab, Chen continues his focus on multi-modal data and evaluation, representing the deep yet often unseen contributions of Chinese talent in shaping the fundamental tools of the AI industry.

marsbitHace 1 hora(s)

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

marsbitHace 1 hora(s)

Alliance Co-founder's Letter to Entrepreneurs: Written at the Moment Cursor Sold for $600 Billion

Alliance Co-founder's Letter to Entrepreneurs: On Cursor's $60 Billion Sale Many aspiring founders see massive exits like Cursor's $60B sale and wonder why they can't achieve the same, often concluding opportunities are exhausted. But great companies aren't built in obvious, crowded spaces. Cursor, like Stripe, Figma, and Shopify before it, started with a non-consensus belief about the future. Before ChatGPT, they believed AI would transform knowledge work. They focused on a genuinely exciting domain, became their own customer, and obsessed over power users. Their journey involved years of "glass-chewing" effort before the market was ready. The pattern is consistent: identify a long-term technological shift, find a missed entry point, and execute for years before the trend becomes obvious. First-generation products (PayPal, Adobe, Amazon) prove a market exists. Second-generation winners (Stripe, Figma, Shopify) rebuild that market around new insights, technology, or changing customer behaviors. Founders must identify their phase in the cycle. Early entrants like Coinbase or Cursor focus on making new technology usable for power users. Later entrants find the "yin" to the established "yang"—the blind spots incumbents miss as they grow distant from individual users. The key is deep market immersion. Use every product in your space. Talk to users. Build an audience. Stop looking for ideas and start *seeing* them everywhere. Then, choose one. The idea must offer a 10x improvement or solve a "hair-on-fire" pain point—something severe enough that users are already crafting workarounds. When building, avoid feature bloat. Ask: why would someone switch? Great startups rarely force new behaviors; they improve familiar workflows with drastically lower friction (e.g., Cursor forked VS Code instead of creating a new editor). Distribution is the underestimated moat. Before product-market fit, achieve distribution-market fit. How do customers discover new tools? Founders like those at Airbnb, Stripe, and Cursor did unscalable, manual work to recruit early users. The final, unteachable ingredient is resilience. Cursor built for years pre-market, faced rejection, and persisted. So did Airbnb, Nvidia, and Rain (which launched post-FTX collapse). The lesson isn't that these founders were smarter, but that they stayed in the game long enough for their insights to compound. Framework: Spot technological cycles. Cultivate unique insight. Obsess over your market. Talk to customers. Find a hair-on-fire problem. Build the simplest wedge. Win your distribution channel. Above all, don't quit when it gets hard. Most people won't do these things consistently. The few who do build the next generation of great companies. Go build.

marsbitHace 1 hora(s)

Alliance Co-founder's Letter to Entrepreneurs: Written at the Moment Cursor Sold for $600 Billion

marsbitHace 1 hora(s)

Weekly Editor's Picks (0613-0619)

Weekly Editor's Picks (0613-0619): Market Insights & Analysis This weekly digest curates in-depth analysis often lost in the information flow, focusing on key insights across macro trends, investment, and technology. **Macro & Geopolitics:** With the Strait of Hormuz reopening and military conflict shifting to negotiation, markets are pivoting from "war shock" to "supply restoration." Trades include shorting crude risk premiums, longing airlines/tourism, Asian energy importers, and bond duration, while shorting inflation expectations. LNG, fertilizer, and chemical chains are also being repriced. **Investment & VC:** Ray Dalio advises against betting on concentrated AI giants dominating indices, advocating for diversified portfolios of high-quality, low-correlation assets instead. Analysis covers the 4-year crypto cycle, predicting the core surviving product by 2029 will be asset trading markets. Current BTC metrics suggest a potential bottoming zone, presenting a patient accumulation window. SpaceX's high-profile IPO at a $2.1T valuation faces scrutiny over fundamentals, with key watchpoints being its likely inclusion in the Nasdaq index and Q2 earnings. Concerns are raised about potential "gamma squeeze" and systemic risks if its narrative-driven valuation gets amplified by passive index funds. Robinhood (HOOD) is noted for breaking its high correlation with crypto, bolstered by its stock trading and new underwriting business. **Web3 & AI:** A warning highlights ~$1.8T in off-balance-sheet AI infrastructure commitments (purchase commitments, leases) as a potential systemic risk if AI monetization lags. AI models are being used for World Cup predictions, adding a new layer for betting markets. A cost breakdown of a $20 AI subscription reveals the supply chain from model companies to cloud, GPUs, and power. **Prediction Markets:** The emergence of prediction market "concept stocks" is noted, with Robinhood developing its own platform, Rothera, signaling a shift from market competition to a "channel war" for user access. **CeFi & DeFi:** The SpaceX IPO tested perpetual contract mechanisms for pre-IPO assets, highlighting challenges in handling corporate actions like stock splits on-chain. The de-pegging of STRC (Strategy's preferred share) to ~$89 reflects market concerns over MicroStrategy's capital structure and BTC-backed leverage model. BlackRock's covered-call Bitcoin ETF (BITA) offers yield but caps upside, appealing to yield-seeking institutions. **Ethereum:** An opinion piece argues Ethereum's core strength is its vast developer community and composability, solidifying its role as the default operating system for the financial internet. **Weekly Hot Topics:** Include the US-Iran deal reopening the Strait of Hormuz, Fed's hawkish hold, Anthropic restricting model access, SpaceX acquiring Cursor, and a humorous stock surge for "Liuliumei" due to its "LLM" ticker.

marsbitHace 1 hora(s)

Weekly Editor's Picks (0613-0619)

marsbitHace 1 hora(s)

Alliance's Co-Founder's Letter to Entrepreneurs: Written on the Occasion of Cursor's $60 Billion Sale

In this letter to entrepreneurs, Alliance reflects on the success of Cursor's $60 billion sale to Elon Musk, using it as a case study to counter the misconception that opportunities in crowded fields like AI or crypto are exhausted. The piece argues that great companies like Cursor, Stripe, Figma, and Shopify are not built by geniuses with perfect ideas, but by founders who start with a non-consensus belief about the future and build for years before that future becomes obvious to everyone. They identify long-term shifts, find overlooked entry points, and execute relentlessly. The framework for success involves: 1. **Identifying your place in the technology cycle**: Early-stage opportunities focus on making new tech usable for power users (e.g., Coinbase, Cursor). Later-stage opportunities involve finding the "yin" to an existing "yang"—the blind spots of first-generation players (e.g., Stripe vs. PayPal, Figma vs. Adobe). 2. **Cultivating unique insights**: Immerse yourself deeply in the market. Use every product, talk to users, and build an audience. Insights will emerge naturally from deep engagement. 3. **Finding a "hair-on-fire" problem**: Look for a 10x improvement or a severe, urgent pain point. The strongest signal is people already building clumsy workarounds. 4. **Building a focused MVP**: Don't just add features because you can. Ask why users would abandon their current tool for yours. The best startups rarely force new behaviors; they improve familiar workflows with drastically lower friction. 5. **Winning a distribution channel**: Distribution is often the moat. Before product-market fit, achieve channel-market fit. Find where your customers are and build an engine to reach them, even through unscalable, manual efforts initially. 6. **Persistence**: The final, unteachable ingredient is resilience. Success stories like Cursor, Airbnb, and Nvidia involved years of grinding, rejection, and perseverance when the path forward seemed unclear. The conclusion is that there is no secret. Most people fail to consistently execute these steps over the long term. The few who do build the companies that define the next era. The world is yours to create.

链捕手Hace 1 hora(s)

Alliance's Co-Founder's Letter to Entrepreneurs: Written on the Occasion of Cursor's $60 Billion Sale

链捕手Hace 1 hora(s)

Trading

Spot
Futuros
活动图片