2026-06-20 Sábado

Notícias de cripto - Página 307

Mantenha-se a par do mercado de cripto. Notícias em tempo real, análises, preços, histórias em alta e análise de especialistas — tudo num só lugar.

Fed Power Transition Crisis: Warsh Nomination Faces Bipartisan Opposition, Smooth Handover Filled with Uncertainty

President Trump's nominee for Federal Reserve Chair, Kevin Warsh, faces intense opposition from Senate Democrats over undisclosed assets exceeding $100 million, raising ethical concerns and casting uncertainty over a smooth leadership transition at the world's most influential central bank. Senate Banking Committee Democrats, led by Elizabeth Warren, accuse Warsh of concealing financial holdings and warn he would become a "puppet" of the president. They, along with Republican Senator Thom Tillis, are pushing to delay confirmation hearings. The controversy is compounded by the Trump administration's legal actions against current Fed officials, including Chair Jay Powell and Governor Lisa Cook. Powell’s term ends May 15, and he has stated he will serve as interim chair if a successor isn’t confirmed—a scenario legal experts support. However, concerns are rising that the White House may challenge this, potentially triggering a legal battle and undermining the Fed’s independence. With bipartisan resistance growing and a delayed hearing likely, the Fed’s leadership transition faces unprecedented uncertainty, prompting markets to reassess the outlook for U.S. monetary policy.

marsbit04/17 03:09

Fed Power Transition Crisis: Warsh Nomination Faces Bipartisan Opposition, Smooth Handover Filled with Uncertainty

marsbit04/17 03:09

More and More People Are Using Xiaohongshu as an AI Incubator

"More and more people are turning Xiaohongshu into an AI incubator," observes an article exploring a shift in China’s tech innovation landscape. The AI wave is no longer dominated by experienced tech experts; instead, young people—often with humanities backgrounds, and increasingly Gen Z or even younger—are driving creativity. This reflects a broader trend: AI is transforming entrepreneurship from a capital-heavy, top-down model into a lightweight, accessible process. The rise of "AI Native" creators was highlighted at a recent Xiaohongshu hackathon, where diverse teams showcased projects targeting highly specific, everyday problems—from AI-generated PPT improvements to brain-controlled wheelchairs and apps that simplify communication with hairstylists. The winning project, "Pocket Guitar," offers a portable, user-friendly music tool that mimics real guitar playing. These innovators embrace a "Build in Public" approach: they share ideas, progress, and failures openly on Xiaohongshu, turning development into a collaborative, community-driven process. This method helps validate demand, recruit team members, and grow user bases organically. For instance, one 23-year-old founder assembled a distributed team through technical discussions on the platform, while a 13-year-old award winner used AI to learn coding and solve real-world problems. Two key factors enable this movement: AI democratization (lowering technical barriers) and the power of social communities (enabling open collaboration and instant feedback). Xiaohongshu, originally a lifestyle and shopping guide platform, has thus evolved into a vital innovation infrastructure. It connects creators with real user needs, facilitates low-cost prototyping, and fosters a culture of co-creation. This shift signals a new era of innovation—defined not by grand narratives and scale, but by granular insights, individual creativity, and trust-based community support. Xiaohongshu’s role is expanding from answering "what to buy" to "what to create," positioning it as a potential "App Store for the AI era."

marsbit04/17 03:06

More and More People Are Using Xiaohongshu as an AI Incubator

marsbit04/17 03:06

Powell's Reappointment Probability Soars to 98%, Is Trump's 'Firing Order' Just Empty Talk?

Powell's likelihood of remaining as Fed Chair surges to 98%, as Trump's threat to fire him appears increasingly unenforceable. The key issue is the Senate confirmation of Trump's nominee, Kevin Warsh, scheduled for a hearing on April 21. Opposition from Republican Senator Thom Tillis, who insists on delaying the vote until a Justice Department investigation into Powell (regarding Fed building renovation costs) is concluded, threatens to stall the process. With limited Senate working days before Powell's term ends on May 15, Warsh’s confirmation is unlikely to proceed in time. If no successor is confirmed, Powell will continue as interim Chair, a scenario supported by precedent and the Federal Reserve Act. Trump has threatened to fire Powell if he doesn’t step down, but legal authority to do so is weak—dismissal requires “for cause” justification, not policy disagreements. The ongoing investigation has so far yielded no evidence of wrongdoing by Powell, making a court challenge likely to fail. Market participants, however, may prefer Warsh, who is perceived as more open to rate cuts and crypto-friendly policies.

Odaily星球日报04/17 03:01

Powell's Reappointment Probability Soars to 98%, Is Trump's 'Firing Order' Just Empty Talk?

Odaily星球日报04/17 03:01

Institutional Adoption of Prediction Markets Stuck at the Third Stage

Prediction markets are transitioning from niche platforms focused on elections and sports to mainstream financial tools, as highlighted at Kalshi Research's inaugural conference. While sports still dominate trading volume (around 80%), non-sports categories like macroeconomics, politics, and entertainment are growing faster, signaling a shift from entertainment-based trading to information and risk management tools. Institutions, including Wall Street firms, are increasingly using prediction markets for data reference (Stage 1 adoption), with some progressing to system integration (Stage 2). However, full-scale trading (Stage 3) is limited due to the lack of margin trading, requiring full collateral for positions—a barrier for leverage-dependent entities. Kalshi is working with regulators to introduce margin mechanisms. Key insights from participants like Goldman Sachs and CNBC emphasize the value of real-time pricing for events (e.g., Fed decisions, tariffs), providing benchmarks previously unavailable. The path to maturity mirrors historical financial instruments like options, with expectations that prediction markets will become institutional staples within five years. Political leaders, including Trump and Schumer, now cite Kalshi odds, underscoring its growing influence. The platform rewards domain expertise over traditional finance backgrounds, attracting diverse participants from fields like music and poker. Ultimately, prediction markets are evolving into critical infrastructure for pricing uncertainty.

marsbit04/17 02:27

Institutional Adoption of Prediction Markets Stuck at the Third Stage

marsbit04/17 02:27

Institutional Adoption of Prediction Markets Stuck at the Third Stage

Prediction markets are transitioning from niche platforms focused on elections and sports to mainstream tools for information and risk management. While events like the Super Bowl still dominate trading volume, non-sports categories—such as macroeconomics, politics, and entertainment—are growing faster and attracting institutional interest. Key drivers include the need for real-time benchmarks on uncertain events (e.g., election outcomes or policy changes), which traditional markets lack. Institutions like Goldman Sachs and CNBC are already using prediction market data for decision-making, though most remain in the early stages of adoption. The path to full institutional integration involves three phases: data integration, system compliance, and active trading. The current barrier to large-scale trading is the lack of margin trading, requiring full collateral for positions—a limitation platforms like Kalshi are working to address. Experts compare prediction markets to the early days of options trading, anticipating they will become a standard, if mundane, financial infrastructure. Political leaders and institutions are increasingly referencing these markets, signaling their growing credibility. The future lies in their evolution from speculative arenas to essential tools for hedging and pricing uncertainty.

Odaily星球日报04/17 02:22

Institutional Adoption of Prediction Markets Stuck at the Third Stage

Odaily星球日报04/17 02:22

France Averages One Crypto Kidnapping Every 2.5 Days, Authorities Finally Take Action

France has emerged as a global hotspot for "crypto kidnappings" and wrench attacks, with an average of one incident every 2.5 days in 2026, totaling 41 cases so far. In a recent event, the wife and 11-year-old child of a crypto entrepreneur were abducted in Burgundy, with a ransom demand of €400,000. The victims were rescued, and suspects were arrested. Facing growing pressure, French Interior Ministry Undersecretary Jean-Didier Berger announced at Paris Blockchain Week that authorities are developing a more "serious" protection plan for cryptocurrency investors, to be unveiled in the coming. This follows the launch of a prevention platform that has already registered thousands of users. According to data from CertiK, wrench attacks—where victims are threatened or assaulted to force digital asset transfers—increased by 75% globally in 2025, with France accounting for 19 confirmed cases. Europe represents about 40% of such incidents worldwide. Other high-profile cases include a couple robbed of $1 million in Bitcoin by impersonators and the kidnapping of a judge and her mother in a crypto-related extortion attempt.

marsbit04/17 01:52

France Averages One Crypto Kidnapping Every 2.5 Days, Authorities Finally Take Action

marsbit04/17 01:52

The First Year of Computing Power Inflation: The Cheaper DeepSeek Gets, the Harder It Is to Stop This Round of Price Hikes

The year 2026 marks the beginning of "computing power inflation." While AI inference costs have dropped by over 80% in 18 months globally, China's three major cloud providers—Alibaba Cloud, Baidu AI Cloud, and Tencent Cloud—simultaneously announced price hikes of 20–30%. This reflects a deeper structural shift driven by Jevons Paradox: as unit costs fall (e.g., via models like DeepSeek-R1), demand explodes, especially with the rise of reasoning models and AI agents that consume 10–50x more tokens per task. Although DeepSeek open-sourced its model weights, it did not release its inference optimization stack, leaving a significant engineering efficiency gap between cloud providers and smaller players. The big three are leveraging this advantage to reposition: Alibaba focuses on high-margin premium clients, Baidu filters out low-value users, and Tencent capitalizes on ecosystem lock-in. Meanwhile, ByteDance’s Volcano Engine adopts a more moderate pricing strategy to capture displaced customers. Unexpectedly, the price surge is pushing large enterprises toward self-built computing solutions once their cloud bills exceed a certain threshold. While cloud providers aim to boost profitability, they risk driving away innovative startups and accelerating competition from GPU leasing and domestic hardware providers like Huawei. The涨价 trend is expected to persist for 2–3 years, fueled by rising token consumption from reasoning models, AI agent adoption, and NVIDIA export restrictions. The inflection point depends on whether domestic chips can match NVIDIA’s efficiency, likely around 2027–2028. Until then, cloud providers will maintain pricing power, and the key for AI companies is to optimize token usage—the real moat in this era.

marsbit04/17 01:16

The First Year of Computing Power Inflation: The Cheaper DeepSeek Gets, the Harder It Is to Stop This Round of Price Hikes

marsbit04/17 01:16

Robotics' "ChatGPT Moment": AI Moves into the Physical World, Blockchain Accelerates the Arrival of the Machine Economy

The integration of AI and robotics is accelerating the shift from digital intelligence to physical AI, enabling machines to perceive, reason, and act in real-world environments. Companies like Figure, Tesla, and Skild AI are driving advancements in humanoid and specialized robots, supported by significant investments—such as Skild’s $14B and Figure’s $10B+ funding rounds. Key enablers include declining hardware costs (actuators, sensors, batteries), edge computing (e.g., NVIDIA Jetson), and AI "world models" that learn physical intuition from video data rather than programmed instructions. Despite progress, challenges remain: collecting real-world robotic training data is slow and costly, and simulation-to-reality gaps persist. Blockchain and tokenization offer solutions by incentivizing decentralized data contribution and enabling robots to function as economic agents—earning, spending, and distributing profits autonomously. By 2030, physical AI could transform industries and households, with robots operating via standardized platforms and skill-based "app stores." The convergence of affordable hardware, advanced AI, decentralized coordination, and edge compute promises a future where intelligent robots become ubiquitous assistants in daily life and high-risk applications.

marsbit04/17 01:16

Robotics' "ChatGPT Moment": AI Moves into the Physical World, Blockchain Accelerates the Arrival of the Machine Economy

marsbit04/17 01:16

Is SWIFT Integrating XRP For Payments? The Code Might Hold The Answer

Crypto pundit SMQKE has speculated that SWIFT may be integrating XRP for payments, citing code from the R3 Corda codebase that links XRP to ISO 20022 and SWIFT network. The code includes modules named XrpPayment and SWIFTPaymentStatusType, suggesting technical compatibility. While XRP is ISO 20022-ready, enabling potential connections with SWIFT-enabled institutions, SWIFT has not confirmed any integration. Currently, the only known link is through Ripple Treasury, a SWIFT connectivity partner, though SWIFT does not use XRP for payments. In related news, X (formerly Twitter) has added XRP to its cashtags feature, increasing its visibility. XRP is trading at around $1.40, up 3% in 24 hours.

bitcoinist04/16 22:02

Is SWIFT Integrating XRP For Payments? The Code Might Hold The Answer

bitcoinist04/16 22:02

Blockchain Is South Korea’s New Fiscal Weapon — A Blow To Privacy?

South Korea is launching a pilot program to replace government expense credit cards with blockchain-based deposit tokens for treasury fund execution. This initiative, led by the Ministry of Finance and Economy, builds on a previous project with the Ministry of Environment. Deposit tokens are digital representations of bank deposits on permissioned blockchains, enabling programmable settlement, transparent tracking, and real-time reporting. Unlike CBDCs, they are issued by commercial banks. The pilot aims to enhance spending transparency, reduce intermediaries, and eliminate card-processing fees for small merchants. While improving efficiency, it raises privacy concerns. If successful, South Korea could become a model for blockchain-based fiscal systems.

bitcoinist04/16 21:44

Blockchain Is South Korea’s New Fiscal Weapon — A Blow To Privacy?

bitcoinist04/16 21:44

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