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How a $10B Ethereum bet puts BitMine in focus ahead of NYSE listing

BitMine is preparing for its NYSE listing with a significant $10.2 billion Ethereum (ETH) position, making up the majority of its $11.4 billion portfolio. This move is seen as a strategic bet on a potential ETH supply squeeze, driven by declining exchange reserves and a record 38.8 million ETH staked, reducing readily available supply. While ETH's price has shown modest gains with higher lows, technical indicators like RSI remain neutral and capital inflows are weak. Despite rising open interest and positive funding rates, there is a risk of market crowding. The company's heavy ETH allocation underscores its belief in Ethereum's long-term value amid shifting market dynamics.

ambcrypto04/07 05:02

How a $10B Ethereum bet puts BitMine in focus ahead of NYSE listing

ambcrypto04/07 05:02

The Small-Town Youth Labeling AI Giants

In China's hinterland cities like Datong, Shanxi, thousands of young people are working as data annotators—the invisible workforce behind AI development. They perform repetitive tasks like drawing bounding boxes on images or rating AI-generated responses, earning piece-rate wages as low as a few cents per task. These workers, mostly from rural areas or small towns, endure intense labor conditions: strict monitoring, high error tolerance thresholds, and mental exhaustion. Despite the cognitive nature of their work, they are often paid meager salaries, with some earning as little as ¥30 ($4) for a day’s work. As AI industry evolves, even highly educated workers—including master’s graduates—are being drawn into similar precarious freelance roles, evaluating complex AI outputs under vague and shifting standards. Yet the industry is structured through layers of outsourcing, where most profits flow to tech giants like OpenAI and Microsoft, while annotators see dwindling incomes. Worse, as AI models become more self-sufficient, the demand for human annotators is declining. Companies like Li Auto have slashed annotation costs by using AI-powered tools that complete in hours what used to take humans years. These annotators, who helped train the very systems now replacing them, face an uncertain future—a stark contrast to the booming valuations and optimistic narratives of the global AI industry. No one seems to see a problem with any of this.

marsbit04/07 04:37

The Small-Town Youth Labeling AI Giants

marsbit04/07 04:37

Starting at $5, Decided in Hours: DeriW Trading Competition Edge Hour Officially Launches

DeriW has launched Edge Hour, a competitive trading product designed to offer a fast-paced, skill-based challenge for crypto traders. With a low entry fee starting at just $5 and multiple time options (1-8 hours), participants trade with 10,000 USDT in virtual funds, aiming to hit a profit target without breaching a maximum drawdown limit. Successful challenges yield rewards of 2-10x the entry fee, while losses are limited to the initial cost. The platform emphasizes fairness by eliminating the advantage of large capital, ensuring outcomes depend on trading skill and risk management. Rules such as minimum trade duration (60 seconds), trade count requirements, and caps on single-trade profits prevent gambling-like behavior. All transactions and settlements occur on-chain via DeriW Chain, ensuring transparency and efficiency with high throughput and zero gas fees. Edge Hour addresses a gap in the market by offering a prop trading-like experience with shorter cycles and lower barriers, appealing to traders seeking to validate strategies quickly. It combines competitive trading with social features, allowing users to invite friends for extra benefits. This innovation reflects a shift toward more interactive, gamified, and skill-centric trading experiences in the crypto ecosystem.

Odaily星球日报04/07 04:12

Starting at $5, Decided in Hours: DeriW Trading Competition Edge Hour Officially Launches

Odaily星球日报04/07 04:12

Meeting at the Pinnacle of Generalist: 30 Billion in 30 Days, What Did Qianxun AI Do Right?

Qianxun Intelligence, a Chinese embodied AI and robotics startup, completed two major funding rounds totaling 3 billion RMB within 30 days in early 2026, backed by prominent investors including Shunwei Capital (Lei Jun) and Yunfeng Capital (Jack Ma). Founded in January 2024 by a team with expertise in robotics, AI, and commercialization, the company focuses on developing general-purpose embodied AI models. Its open-source model, Spirit v1.5, surpassed competitors in performance benchmarks, demonstrating strong zero-shot generalization capabilities for complex tasks. The company follows a scaling law approach similar to large language models (LLMs), leveraging massive diverse datasets—including internet videos, wearable device data, and teleoperation data—to train its Vision-Language-Action (VLA) model. Qianxun employs a multi-source data engine, collecting over 200,000 hours of real-world interaction data, with plans to reach 1 million hours by 2026. It uses low-cost wearable devices for efficient data acquisition and emphasizes real-world deployment for continuous data feedback. The company has deployed robots like "Xiao Mo" in industrial settings (e.g., battery production lines for CATL) and commercial scenarios (e.g., as baristas in JD.com malls), using operational data to refine its models. This "commercialize while iterating" strategy supports both revenue generation and model improvement, positioning Qianxun to compete globally in embodied AI.

marsbit04/07 04:05

Meeting at the Pinnacle of Generalist: 30 Billion in 30 Days, What Did Qianxun AI Do Right?

marsbit04/07 04:05

Expert Explains What Strategy’s 89,599 BTC Buy In Q1 Means For The Bitcoin Price

Expert Adam Livingston analyzes the significance of Strategy's purchase of 89,599 BTC in Q1 2026—its second-largest quarterly accumulation—amid a downtrend and negative market sentiment. He emphasizes that this pace, if sustained for three years, could push Strategy's holdings to 1.84 million BTC by 2029, significantly reducing market supply. Notably, Strategy bought more aggressively at higher prices, with 39% of purchases in the $90k-$110k range. Livingston argues that even conservative projections point to substantial upside for both Strategy’s valuation and Bitcoin’s long-term price, especially if BTC reverts toward its $360k power-law trend by 2028.

bitcoinist04/07 04:02

Expert Explains What Strategy’s 89,599 BTC Buy In Q1 Means For The Bitcoin Price

bitcoinist04/07 04:02

DeFi loses $169M in Q1 as Circle pushes for quantum security – Details

DeFi security in Q1 saw $169 million lost across 34 protocols, primarily to operational weaknesses rather than cryptographic failures. Key compromises and permission errors accounted for a majority of attacks, with 63% linked to access control issues. While immediate threats remain execution-based, long-term quantum risks are gaining attention. Circle is proactively adopting Post-Quantum Cryptography (PQC), and new chains like Arc are building quantum-resistant features natively to avoid future upgrade challenges. Legacy chains, however, face slow adoption due to scalability and coordination hurdles, with significant value still locked in incumbent systems. The market currently prioritizes liquidity and usability, delaying broader PQC transition despite rising future threats.

ambcrypto04/07 03:58

DeFi loses $169M in Q1 as Circle pushes for quantum security – Details

ambcrypto04/07 03:58

A Hidden Financial War? Iran Collects Strait Passage Fees with Stablecoins

Iran has officially institutionalized a mandatory toll system for all large tankers passing through the Strait of Hormuz, rejecting dollar-denominated payments. Instead, fees must be paid either via yuan-denominated wire transfers or in USD-pegged stablecoins via decentralized networks. The move is designed to bypass U.S. financial sanctions and traditional banking channels like SWIFT system. The Islamic Revolutionary Guard Corps (IRGC) is implementing a tiered pricing model based on geopolitical alignment: allies like China and Russia pay the lowest rates, while U.S. allies and Israel are barred entirely. Vessels must display approved flags and are escorted through the strait after payment. This marks the first time a nation has integrated cryptocurrency into strategic-level payment infrastructure at commercial scale. The mechanism could channel over $20 billion annually in stablecoins through Iranian-controlled wallets, creating a grey liquidity pool shielded by sovereign power. However, risks remain. Compliance with sanctions from the EU and UK may void insurance coverage for vessels paying the IRGC, forcing shipowners to choose between longer routes or potential financial penalties. Russia is considering a similar model for the Northern Sea Route, signaling a broader shift toward using geographic chokepoints as financial leverage in a reordered global trade system.

marsbit04/07 03:51

A Hidden Financial War? Iran Collects Strait Passage Fees with Stablecoins

marsbit04/07 03:51

The New Yorker In-Depth Investigation Analysis: Why Do OpenAI Insiders Believe Altman Is Untrustworthy?

"The New Yorker investigation, based on internal documents and interviews with over 100 sources, reveals deep internal distrust in OpenAI’s leadership, particularly toward CEO Sam Altman. Key allegations include a pattern of dishonesty, undermining safety protocols, and prioritizing commercial interests over OpenAI’s original non-profit mission to develop AI safely. Chief Scientist Ilya Sutskever compiled a 70-page dossier accusing Altman of repeatedly lying to the board—for instance, falsely claiming GPT-4 features had passed safety reviews. Anthropic co-founder Dario Amodei’s private notes further detail how Microsoft’s investment deal effectively neutered OpenAI’s safety commitments. The report also highlights unfulfilled promises, such as allocating only 1-2% of promised computing resources to critical safety teams. Internal conflicts extend to CFO Sarah Friar, who opposed Altman’s aggressive IPO timeline amid financial concerns. Microsoft executives compared Altman to fraudsters like SBF, citing a tendency to distort facts and renege on agreements. Critics argue that Altman’s unchecked authority and alleged disregard for transparency pose significant risks given OpenAI’s powerful, potentially dangerous AI technology. The company’s transformation from a safety-first non-profit to a profit-driven entity raises fundamental questions about its governance and ethical commitments."

marsbit04/07 03:40

The New Yorker In-Depth Investigation Analysis: Why Do OpenAI Insiders Believe Altman Is Untrustworthy?

marsbit04/07 03:40

Chaos Labs Exits, Who Will Take Over Aave's Risk?

Chaos Labs, the core risk management provider for Aave V2 and V3 markets, has announced its decision to terminate its partnership with Aave. Despite Aave Labs increasing the budget to $5 million to retain them, Chaos Labs chose to leave due to fundamental disagreements on how risk should be managed. Key reasons for the departure include: the loss of core Aave contributors increasing operational risk, the expanded scope and complexity introduced by Aave V4 (which requires rebuilding risk infrastructure from scratch), and the fact that Chaos Labs operated at a financial loss even with increased budgets. They estimate that proper risk management for both V3 and V4 should cost at least $8 million annually (≈5.6% of protocol revenue), closer to traditional banking standards, rather than the previous 2%. Chaos Labs emphasized that Aave’s reputation and institutional adoption rely heavily on its risk management track record. They also highlighted unquantified costs like legal liability and operational security risks. The exit occurs as Aave plans its V4 upgrade and expands into institutional markets. Chaos Labs warns that migrating to V4 while maintaining V3 will double, not halve, the workload, and that accumulated operational experience cannot be easily transferred. The decision reflects a principled stance: Chaos Labs only attaches its name to work that meets its high-risk standards, even at significant financial sacrifice.

marsbit04/07 03:36

Chaos Labs Exits, Who Will Take Over Aave's Risk?

marsbit04/07 03:36

Research: $35 Trillion in Annual Stablecoin Transaction Volume, How Much is Real Payment?

A joint report by McKinsey and Artemis reveals that only about 1% of the annual $35 trillion stablecoin transaction volume represents real payments, totaling approximately $390 billion. Among these, 58% are B2B transactions—such as cross-border supplier settlements and financial operations—which grew by 733% year-over-year. Consumer usage, including card payments and remittances, remains negligible. The analysis identifies five structural reasons for this institutional dominance: 1) Greater financial efficiency gains for businesses compared to consumers; 2) Programmability benefits B2B workflows but lacks retail applications; 3) Regulatory frameworks favor institutional adoption; 4) Closed-loop B2B systems avoid the chicken-and-egg problem of consumer-merchant networks; 5) Corporate incentives prioritize internal efficiency over downstream consumer adoption. While B2B stablecoin payments are growing rapidly, consumer adoption may remain limited without breakthroughs in usability and regulatory clarity. The report suggests stablecoins may evolve primarily as an institutional settlement layer rather than a mainstream consumer payment tool.

marsbit04/07 03:09

Research: $35 Trillion in Annual Stablecoin Transaction Volume, How Much is Real Payment?

marsbit04/07 03:09

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