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.

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

OpenAI Experiences Internal Strife Again! Major Leadership Shake-Up on the Eve of IPO

OpenAI is experiencing significant internal turmoil and executive reshuffling just as it prepares for a potential IPO later this year. Key changes include COO Brad Lightcap transitioning to a special projects role, Chief Marketing Officer Kate Rouch resigning for health reasons, and Chief App Officer Fidji Simo taking a medical leave. These departures and reassignments have raised concerns about management stability during a critical period. Additionally, tensions have emerged between CEO Sam Altman and CFO Sarah Friar over the IPO timeline. Altman is pushing for a faster launch, aiming to go public before competitor Anthropic, and has publicly committed to $600 billion in future AI infrastructure investments. Friar, however, advocates for a more cautious approach, citing the immense internal preparation required and uncertainties around the company’s financial sustainability given slowing revenue growth and massive compute expenditure commitments. These developments have led to speculation about OpenAI’s ability to execute a successful IPO this year, with external observers and industry insiders questioning both its business model and internal cohesion amid fierce competition and financial pressures.

marsbit04/06 06:57

OpenAI Experiences Internal Strife Again! Major Leadership Shake-Up on the Eve of IPO

marsbit04/06 06:57

‘Beyond code errors’ – How Drift Protocol’s $285mln drain shifts DeFi security bar

The Drift Protocol exploit, resulting in a $285 million loss, marks a significant shift in DeFi security threats, moving beyond simple code errors to sophisticated attacks on governance and operational control layers. The attacker used pre-signed transactions and manipulated a multi-signature mechanism to gain admin access rapidly. This incident underscores that security now depends more on protecting protocol operations and user assets than solely fixing smart contract bugs. Drift’s response demonstrated the critical role of fast crisis management—halting deposits and withdrawals quickly, coordinating with security partners, and providing transparency—which helped contain cross-protocol risks and maintain market confidence. The event reflects a broader trend in DeFi, where attackers increasingly target access and control mechanisms. This has elevated the importance of operational security, prompting protocols to compete not only on yield but also on their ability to manage risk, protect capital, and respond effectively during crises. Industry data shows a growing focus on security investments, such as signer rotation and emergency controls, as key factors in building resilience and trust.

ambcrypto04/06 05:03

‘Beyond code errors’ – How Drift Protocol’s $285mln drain shifts DeFi security bar

ambcrypto04/06 05:03

Dialogue with Bloomberg ETF Analyst: Why Bitcoin ETF Holders Did Not Sell During the 50% Plunge

In a recent interview on Coin Stories, Bloomberg Intelligence Senior ETF Analyst James Seyffart discussed the resilience of Bitcoin ETF holders, who largely held their positions despite a 50% price drop, contrary to expectations of panic selling. Seyffart noted that while there was a $9 billion outflow from Bitcoin ETFs starting October 10, it was minor compared to the $250-300 billion inflows prior, and outflows have since reversed by $20-25 billion. He attributed this "diamond hands" behavior to educated investors who understand Bitcoin’s volatility and typically allocate only a small portion (e.g., 1-5%) of their portfolios, leading to rebalancing rather than selling during dips. The conversation also covered the entry of major institutions like Morgan Stanley, which is launching its own Bitcoin ETF, leveraging its vast client assets. Seyffart highlighted the growing efficiency of ETFs, with physical redemptions now allowed, potentially enabling direct Bitcoin transfers to holders in the future. However, he expressed concern over the concentration of Bitcoin custody with Coinbase. Additionally, Seyffart discussed the inverse flow trends between Bitcoin and Gold ETFs recently, with Bitcoin acting more like a risk-on growth asset. He remains optimistic about Bitcoin ETFs eventually surpassing Gold ETFs in size due to Bitcoin’s diverse use cases. Finally, he emphasized the importance of diversification in the current volatile market, where traditional hedges have largely failed, and cash.

marsbit04/05 03:43

Dialogue with Bloomberg ETF Analyst: Why Bitcoin ETF Holders Did Not Sell During the 50% Plunge