Industry News

Tracks company news, strategic changes, funding activities, and personnel adjustments across the blockchain and crypto industries, delivering a full-spectrum industry overview for our users.

‘Competition is fierce’ – Inside JPMorgan’s plan to take on blockchain rivals

In his annual shareholder letter, JPMorgan CEO Jamie Dimon outlined the bank's strategy to compete with emerging rivals in the blockchain space, acknowledging that "competition is fierce." He highlighted the rise of new competitors utilizing blockchain technology, including stablecoins, smart contracts, and tokenization. To maintain its leading position, JPMorgan plans to heavily invest in and accelerate its understanding and implementation of artificial intelligence, particularly in product design and customer-focused blockchain solutions. The bank is already active in the sector through its digital payment platform, Kinexys (formerly Onyx), which tokenizes assets on networks like Solana and Ethereum, targeting a $13 trillion tokenized asset market by 2030. Its JPM Coin aims to facilitate over $1 billion in daily transactions. Dimon also addressed challenges, noting that the bank's large size can bring disadvantages like complexity and bureaucracy but can also be an advantage in deploying capital-intensive technologies like AI and compliant infrastructure. Additionally, he cited global geopolitical tensions and potential economic impacts, such as stickier inflation and higher interest rates, as significant roadblocks. Despite these hurdles, Dimon expressed confidence in JPMorgan's ability to sustain its top-tier performance.

ambcrypto04/07 12:10

‘Competition is fierce’ – Inside JPMorgan’s plan to take on blockchain rivals

ambcrypto04/07 12:10

Chinese Large Models: This Time, the Script Is Different

By early 2026, Chinese large language models (LLMs) have gained significant global traction, representing six of the top ten most-used on the AI model aggregation platform OpenRouter. This shift, led by models like Xiaomi's MiMo-V2-Pro, occurred after Chinese models' weekly token usage surpassed that of U.S. models in February 2026. A key driver is the substantial price gap: Chinese models are often 10–20 times cheaper for input and up to 60 times cheaper for output tokens than leading U.S. models like OpenAI’s GPT-5.4 and Anthropic’s Claude Opus. This cost advantage became critical with the rise of agentic applications like OpenClaw, which automate complex tasks (e.g., programming, testing) and consume tokens at a much higher volume than traditional chat interfaces. While U.S. models still lead in complex reasoning benchmarks, Chinese models have nearly closed the gap in programming tasks—evidenced by near-parity scores on the SWE-Bench coding evaluation. This enabled cost-conscious developers, especially in AI startups using open-source stacks, to adopt a "layered" approach: using Chinese models for routine tasks and reserving premium U.S. models for harder problems. Rising demand led Chinese firms like Zhipu and Tencent to increase API prices in early 2026, yet usage continued growing sharply. Analysts note that China’s cost edge stems from large-scale, efficient compute infrastructure and widespread adoption of MoE (Mixture of Experts) architecture. Unlike the low-margin electronics manufacturing analogy ("AI-era Foxconn"), Chinese LLM firms are demonstrating pricing power and rapid technical advancement, suggesting a different trajectory from traditional assembly-line roles.

marsbit04/07 11:00

Chinese Large Models: This Time, the Script Is Different

marsbit04/07 11:00

175-Year-Old Western Union: Not Just Playing with Stablecoins, but Also Acquired a Digital Wallet

At 175 years old, Western Union, the global money transfer giant, is undergoing a significant digital shift. After a failed 2018 experiment with Ripple's XRP due to high costs, the company is now aggressively embracing blockchain and digital assets. In April 2026, Western Union acquired Singapore-based digital wallet Dash from Singtel, marking its first digital wallet asset in the Asia-Pacific region. Dash, with 1.4 million users, offers a full suite of services including payments, remittances, savings, insurance, and investments, deeply integrated into Singapore's local life. This move is part of a broader strategy to modernize its legacy business. While Western Union's vast network of over 500,000 physical agent locations remains its backbone, it is also its biggest cost burden. The company faces intense competition from digital-native rivals like Wise and Remitly, which offer significantly lower fees. To compete, Western Union is building a "Digital Asset Network." A key component is its own USD-pegged stablecoin, USDPT, issued on the Solana blockchain in partnership with Anchorage Digital. It is also piloting a stablecoin-linked Visa card with Rain for users in high-inflation countries like Argentina, allowing them to spend or cash out dollars at its agent locations. The acquisition of Dash represents a fundamental change: moving from being a transient "pipe" for money transfers to building a destination where users stay. Dash provides a trusted, established platform to test and deploy these new digital products, serving as a launchpad for Western Union's expansion across the Asia-Pacific region.

marsbit04/07 09:46

175-Year-Old Western Union: Not Just Playing with Stablecoins, but Also Acquired a Digital Wallet

marsbit04/07 09:46

Solana rolls out ‘STRIDE,’ a DeFi-wide security push after $285 mln Drift breach

In response to the $285 million Drift protocol hack, the Solana Foundation has launched a comprehensive, two-tiered security initiative called STRIDE (Solana Trust, Resilience, and Infrastructure for DeFi Enterprises). This program will proactively evaluate, monitor, and escalate security issues for DeFi projects with over $10M in total value locked (TVL), setting new security standards and requiring independent audits. For protocols with over $100M TVL, the Foundation will support formal security checks. A second layer, the Solana Incident Response Network (SIRN), unites security firms to react to active threats. The move aims to rebuild trust and prevent future incidents, with early data showing investor liquidity on Solana remained stable despite the recent breach.

ambcrypto04/07 09:17

Solana rolls out ‘STRIDE,’ a DeFi-wide security push after $285 mln Drift breach

ambcrypto04/07 09:17

Anthropic's Revenue Surpasses $30 Billion, Signs 3.5 Gigawatt Computing Power Agreement with Google and Broadcom

Anthropic announced its annualized revenue has surpassed $30 billion, a more than threefold increase from $9 billion at the end of 2025. The number of enterprise customers spending over $1 million annually doubled to 1,000 in less than two months. Growth is largely driven by Claude Code, launched in May 2025, which reached over $2.5 billion in annualized revenue by February 2026. In a related move, Broadcom disclosed in an SEC filing that Anthropic will secure approximately 3.5 gigawatts of next-generation TPU compute power starting in 2027, marking its largest single compute commitment to date. This is part of an expanded partnership involving Google and Broadcom, which will design and supply the new TPUs. Unlike OpenAI’s capital-intensive Stargate project, which involves building owned-and-operated data centers, Anthropic adopts a capital-light strategy—relying on long-term compute agreements with cloud providers (AWS, Google Cloud, and Microsoft Azure) without owning physical infrastructure. This multi-cloud, multi-chip approach offers flexibility but may entail higher long-term costs. Anthropic expects a $14 billion loss in 2026 despite ~40% gross margins.

marsbit04/07 07:29

Anthropic's Revenue Surpasses $30 Billion, Signs 3.5 Gigawatt Computing Power Agreement with Google and Broadcom

marsbit04/07 07:29

Xianyu, the OpenClaw More Suited for Chinese Users

This article argues that while OpenClaw (a fictional AI agent) represents a global phenomenon by giving AI "hands and feet" to execute digital and physical tasks, the Chinese second-hand marketplace Xianyu is a more practical and "localized" alternative for most users in China. The author highlights that OpenClaw's operational costs, due to massive token consumption for API calls, are prohibitively high. In contrast, Xianyu offers a vast, low-cost human labor marketplace where services—from booking hotels and buying tickets to AI subscriptions and even matchmaking—are available at a fraction of the cost. The platform, with over 200 million monthly active users, has become a parallel economy filled with unconventional services and creative "sellers," often leveraging information asymmetry and extreme cost efficiency. It's described as a "dark web" for China, fulfilling niche demands with flexible supply. The piece draws a parallel between OpenClaw's token-based "AI leverage" and Xianyu's "human leverage," suggesting that in a market with abundant and cheap labor, a human-powered platform like Xianyu is a more effective and culturally adapted tool for task execution and resource allocation than an AI agent. The conclusion is that Xianyu, not OpenClaw, is the "more suitable OpenClaw for Chinese users."

Odaily星球日报04/07 06:03

Xianyu, the OpenClaw More Suited for Chinese Users

Odaily星球日报04/07 06:03

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

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

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

Drift Protocol incident uncovered: Did ‘negligence’ lead to the $285M loss?

Drift Protocol's $285 million hack underscores a critical industry lesson: security cannot be sacrificed for scalability. This incident, potentially linked to the same group behind the 2024 Radiant Capital hack, reveals a meticulously planned attack where perpetrators posed as a legitimate firm to gain trust. In response, Drift froze protocol functions and collaborated with law enforcement, though market confidence remained shaken. The timing is significant, as Solana recently tested quantum-resistant upgrades that slowed the network by 90%, highlighting the inherent trade-offs between security and performance. Public scrutiny has intensified, with some labeling the breach "civil negligence," signaling a shift in the 2026 cycle toward prioritizing security, accountability, and quantum-threat preparedness over mere scalability.

ambcrypto04/06 20:17

Drift Protocol incident uncovered: Did ‘negligence’ lead to the $285M loss?

ambcrypto04/06 20:17

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