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Zhao Changpeng: Binance's Greek MiCA license application was close to approval but was forced to withdraw due to external factors

According to The Block, Binance founder Zhao Changpeng stated that the MiCA license application submitted by Binance in Greece fully complied with regulatory requirements and was close to approval before being withdrawn, but ultimately the process was interrupted due to "external political factors."In an interview, Zhao Changpeng mentioned that several countries within the EU had expressed interest in the license, and there was even a certain degree of "competitive pursuit," but the regulatory progress was ultimately affected by non-regulatory factors, forcing the application to be withdrawn. Binance officially withdrew its application in Greece last week and stated that it would turn to other EU member states to continue pursuing MiCA authorization.In response to market rumors regarding his connections with high-level EU politicians, Zhao Changpeng stated that he had not seen any verifiable documents and only saw similar claims online, which he did not confirm. Zhao Changpeng also pointed out that the EU MiCA transition period will officially end on July 1, at which time platforms that have not obtained licenses must cease related services. Regulatory agencies in various countries have made it clear that they will not postpone enforcement, and they evaluate this outcome as a "lose-lose situation," using the regulatory processes in Japan and Singapore as examples to emphasize that compliance processes often require a longer period.Additionally, when discussing Strategy's STRC preferred stock product, Zhao Changpeng stated that its structure is "too complex" and expressed difficulty in fully understanding its mechanism, but emphasized that he does not comment on the credibility of its founder Michael Saylor, considering him a "staunch supporter of Bitcoin."

Ethlabs: Existing funds can support 2–3 years of development, adhering to non-profit and neutral governance

Ethlabs published a response on platform X regarding its nonprofit positioning and funding situation, stating that the choice to operate under a nonprofit structure is to focus on the long-term development needs of Ethereum as a "public good" and to maintain the organization's independence and neutrality in research and development.In terms of governance structure, Ethlabs pointed out that its funding comes from large ETH holders and Ethereum ecosystem builders, whose interests are highly aligned with the long-term success of Ethereum, but they will not gain any governance control or participate in roadmap formulation or project prioritization decisions. Ethlabs emphasized that this arrangement is intentionally designed to avoid external funding influencing core directions.At the same time, Ethlabs stated that the future continuous financing mechanism itself is also a form of "accountability mechanism," meaning that only by continuously creating real value for the Ethereum ecosystem can they obtain subsequent funding support, thus forming a long-term feedback loop.Regarding funding, Ethlabs revealed that it is currently in the final stages of financing and has not disclosed specific amounts, but the committed funds already obtained are expected to support an operational cycle of 2 to 3 years and cover the recruitment needs for top talent. Ethlabs emphasized its positioning as a long-term project, not a one-time funding plan.

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.
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