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Chainalysis plans to launch an on-chain tracking standard system, proposing an "address clustering ontology" to unify blockchain forensic methods

According to CoinDesk, blockchain analysis company Chainalysis has released a new methodological proposal aimed at establishing a unified on-chain fund tracking standard framework for law enforcement agencies and investigators, to identify address clusters and determine their possible control relationships.The proposal defines the on-chain analysis structure in the form of "ontology," focusing on systematically breaking down the currently unstandardized concept of "cluster" in the industry into wallet segments and functional roles, and describing on-chain relationships through a two-layer structure: the first layer defines the transaction graph structure, and the second layer assesses inference confidence.Chainalysis stated that the framework aims to enhance the interpretability and legal applicability of on-chain forensic methods, and is designed and validated based on its practical experience in relevant cases within the U.S. Department of Justice, including the analytical application in the mixing service Bitcoin Fog case.The company's Chief Scientist Jacob Illum pointed out that the goal of the proposal is to answer "on what evidence basis can these addresses be considered to belong to the same entity," while emphasizing that on-chain analysis itself cannot directly identify the ultimate user identity and still requires legal investigative methods combined with centralized entities such as exchanges.Chainalysis indicated that the standard proposal is currently open for discussion within the industry, hoping to promote the formation of more unified technical specifications for on-chain analysis methods in the fields of law enforcement and compliance.

Gate.AI full-chain large model management platform upgrade, enhancing unified large model access and enterprise governance capabilities

The trading platform Gate's full-link large model management platform Gate.AI has recently completed an upgrade, launching a one-stop large model routing service for enterprises and developers. The platform is now connected to over 200 mainstream large models worldwide, supporting the two major protocols of OpenAI and Anthropic. Enterprises can access different model resources through a single API, achieving unified access and management, thereby reducing development, operation, and migration costs.Combining intelligent routing and comprehensive enterprise governance, Gate.AI achieves optimal matching of heterogeneous models and high business availability through intelligent routing and an automatic fallback mechanism. In terms of governance and security, the platform has built a multi-level unified management system that includes organizational structure, role permission control, members, and API keys, reinforcing privacy protection with zero data retention (ZDR) and data processing agreements (DPA). Additionally, through refined cost governance measures such as shared quota pools, it helps enterprises achieve efficient, standardized, and transparent operation of AI resources.As an important part of Gate's Intelligent Web3 strategy, Gate.AI is continuously improving the construction of an open AI platform, further promoting the large-scale application of AI in practical business scenarios by connecting global model resources and enterprise-level governance systems. In the future, Gate will continue to deepen its efforts in model access, intelligent routing, enterprise governance, and application innovation, creating a full-link open AI ecosystem to provide long-term support for the intelligent upgrade of global enterprises.

The tech industry is experiencing a wave of AI-driven layoffs, with giants like Oracle and Amazon significantly reducing positions

According to the latest industry reports and corporate disclosure documents, the technology industry is experiencing a large-scale wave of layoffs driven by artificial intelligence (AI) in 2026. Despite several companies achieving record high revenues, major tech giants are intensively restructuring their organizational frameworks to reallocate funds towards AI infrastructure development and to enhance operational efficiency through AI. Data shows that in May of this year, the number of layoffs in the tech industry reached the highest monthly record in years, with AI being the core reason for the layoffs.On the execution level, several leading companies have implemented large-scale personnel reductions. Oracle's latest documents reveal that in the past 12 months, 21,000 employees (approximately 13% of the total workforce) have been laid off due to internal AI technology deployment. Amazon cut 16,000 corporate positions in January this year, with management expecting that the widespread application of generative AI will significantly reduce the demand for traditional roles. While Meta laid off about 8,000 employees, nearly 7,000 were reorganized into core AI business positions. Block significantly reduced its workforce by 4,000, nearly halving its total number of employees to adapt to the flattened operational model brought about by AI tools.Additionally, companies including Cisco (4,000 people), Intuit (3,000 people), Atlassian (1,600 people), Cloudflare (1,100 people), Snap (1,000 people), as well as Coinbase, Salesforce, and others have announced substantial layoff plans related to AI transformation this year. At the same time, although Google, Microsoft, and IBM have not disclosed specific total layoff numbers, they are also continuously advancing rolling job replacements and restructuring linked to AI strategies.

Sonic Labs announced significant changes to its board and leadership, with Andre Cronje and two others resigning from the board

According to Sonic Labs' official statement, the company has made significant adjustments in its board, leadership, and operational direction. Michael Kong, Andre Cronje, and David Richardson will resign from their positions on the Sonic Labs board, but all three will retain their investments in Sonic and fully transfer their responsibilities, though they will no longer make business decisions for the organization.Sonic Labs also announced that Matt Visser will serve as CEO, and Kosta Kourkoumelis will serve as COO. The primary task of the new management is not to announce a roadmap, but to enforce operational discipline and regain trust. Matt Visser stated, "I am not here to promise an immediate turnaround. I will make Sonic better by 1% every day and let it compound."Sonic Labs indicated that the current token price and community sentiment are both low, and the next 100 days will be regarded as a new first day, with the goal of achieving small improvements daily and allowing them to compound. Sonic Labs is committed to promoting transparent governance, establishing a dedicated risk and compliance committee, prioritizing the community, and reducing vague announcements while providing clearer progress updates.On the technical side, Sonic Labs stated that the engineering team's progress has not been affected. Since 2026, 400 valid pull requests have been merged into the GitHub main branch, two official releases have been published, and major version 2.2.0 is under development, with six candidate versions released so far, and a private testnet has gone live and is undergoing intensive testing.

Strive CEO: The significant fluctuations of STRC and SATA today are due to leveraged liquidations, not a deterioration in underlying credit

Strive CEO Matt Cole stated that today is the most difficult day in the history of digital credit. STRC rebounded significantly after hitting a low of $82.5 during the trading session, while SATA recovered after dropping to just over $90 near its par value, with many investors experiencing a tough trading day. Matt Cole indicated that what occurred today was a leveraged liquidation event, not a deterioration in underlying credit quality.He pointed out that when investors find a certain type of asset with a high yield, relatively low volatility, and strong underlying credit characteristics, they often increase returns through borrowing and leveraging. However, once the market moves in the opposite direction, forced selling can trigger a cycle of price declines, margin calls, and further selling, causing the sell-off to detach from fundamentals and driven by balance sheet constraints. He emphasized that the issuer's credit quality remains robust. Strive's dividend reserves are intact, the company is not under pressure, and it still has the ability to meet obligations and continue executing its strategy.He also mentioned that both STRC and SATA saw significant buying near their intraday lows and quickly recovered, indicating that there is actual demand in the lower price range. Matt Cole stated that liquidation events are not the same as credit events. Today's price fluctuations did not change his confidence in the long-term opportunities in digital credit; instead, it reinforced his view that the sector is building a new category of financial instruments and will experience similar growing pains before maturing into a large fixed income market.
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