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The UK FCA has released the final framework for cryptocurrency regulation, with a mandatory licensing system set to take effect in October 2027

According to The Block, the UK's Financial Conduct Authority (FCA) finalized a comprehensive crypto regulatory framework on Tuesday, with a mandatory licensing regime set to take effect on October 25, 2027. The framework covers prudential requirements, market abuse regulation, and stablecoin standards, applicable to crypto trading platforms, custodians, stablecoin issuers, lending and staking service providers, as well as some DeFi companies with identifiable controlling entities.Businesses can apply for authorization between September 30, 2026, and February 28, 2027, and existing anti-money laundering registrations will not automatically convert. Regarding trading platform rules, the FCA requires UK-qualified crypto asset trading platforms to conduct due diligence, meet entry standards, and publish disclosure documents, while removing the previous exemption that allowed fungible crypto assets to be listed without disclosure documents. Market abuse rules cover insider trading and market manipulation.For stablecoins, the FCA has removed the obligation to forecast the redemption of reserve assets, allowed limited group internal custody arrangements, and reduced the K-SII capital ratio for stablecoin issuance from 2% to 1%. Crypto assets on qualified platforms will be subject to a unified 40% net risk exposure requirement and a 40% counterparty default volatility adjustment. FCA's Director of Payments and Digital Finance, David Geale, stated that the framework is an important milestone for crypto regulation in the UK, providing regulatory certainty while allowing businesses to maintain innovation space.

Strategy launches a digital credit capital framework, establishes a BTC monetization plan, and two $1 billion repurchase plans

According to the 8-K document submitted to the SEC by Strategy, the company announced the launch of a digital credit capital framework, which includes five core components: dollar reserve policy, adjustment of STRC dividend policy, preferred stock repurchase plan, common stock repurchase plan, and BTC monetization plan.Under the dollar reserve policy, the reserve can only be used to pay preferred stock dividends and debt interest, and management must maintain a reserve sufficient to cover expected dividends and interest expenses for at least the next 12 months. As of June 28, the dollar reserve balance was $2.55 billion.Regarding the STRC dividend, the company will dynamically assess the dividend rate on a monthly basis, considering factors such as trading price, market yield, credit spread, and Bitcoin price volatility, and will not increase the dividend solely because the STRC trading price is below par value. The company also announced an increase in the annualized dividend rate for STRC to 12% from the previous level, effective July 1.In terms of the repurchase plan, the company has established two repurchase authorizations of $1 billion each, to repurchase preferred stocks such as STRC, STRF, STRD, STRK, and Class A common stock, with STRC being the primary target of the preferred stock repurchase plan. Neither of the repurchase plans will utilize dollar reserve funds.In addition, the company's board of directors has authorized the BTC monetization plan, allowing the company to raise up to $1.25 billion by selling Bitcoin, to supplement the dollar reserve, pay preferred stock dividends and interest expenses, or fund the aforementioned repurchase plans.

DGrid AI released the latest research paper PoQ-Judge, completing the closed loop of decentralized LLM quality assessment with a multi-architecture evaluation framework

The decentralized AI infrastructure network DGrid AI today released its latest research paper "PoQ-Judge," proposing a multi-architecture quality assessment framework that does not require reference answers. This means that in real deployment environments, there are often no standard answers for comparison, yet the protocol can still reliably score the quality of model responses and allocate incentives accordingly. This is a key piece that has long been missing in DGrid's decentralized LLM inference quality assessment system.PoQ (Proof of Quality) is a consensus mechanism independently developed by DGrid, designed to prevent model providers from deploying low-quality models, fabricating data, or hiding computational costs at the protocol level, thereby ensuring service quality and pricing transparency. The DGrid team has been continuously working on PoQ and has published four research papers to date. The newly released PoQ-Judge has trained three assessment models covering different quality and cost scenarios, achieving a correlation of up to 0.747 with human scoring on the retention test set, significantly outperforming all previous reference answer-based evaluators, while reducing assessment costs by over 72% through cascading evaluation and online weight calibration.With the implementation of PoQ-Judge, the entire process from quality assessment → scoring → incentive allocation has completely eliminated reliance on reference answers, thus establishing a closed loop for the quality of decentralized LLM inference.DGrid AI is a decentralized AI intelligent network dedicated to building an open, transparent, and community-driven AI infrastructure. Focusing on model invocation and application experience, DGrid has launched several core products: the AI Gateway that aggregates mainstream large models globally, the one-click deployment platform for AI agents DClaw, the anonymous model competition platform AI Arena, and the intelligent model recommendation assistant Dori, providing one-stop services for developers and users. It is reported that DGrid AI's revenue has surpassed 20 million dollars in six months.

Hong Kong Securities and Futures Commission: Will continue to promote the construction of a regulatory framework for digital assets and support AI financial applications

According to Crowdfund Insider, the Chairperson of the Hong Kong Securities and Futures Commission (SFC), Laura Liang, stated at the Caixin Summer Summit that Hong Kong will continue to expand its digital asset regulatory framework and promote the application of artificial intelligence (AI) in the financial services sector to consolidate its position as an international financial center.Laura Liang pointed out that regulatory agencies will improve the institutional framework around areas such as digital asset trading, custody, investment consulting, and asset management, while adhering to the regulatory principle of "same business, same risks, same rules," achieving a balance between innovation and investor protection.She stated that as the application of AI in the financial industry accelerates, regulatory focus will include potential risks such as model reliability, algorithm bias, data privacy, and cybersecurity, emphasizing that financial institutions need to strengthen risk management during the innovation process.In addition, the Hong Kong Securities and Futures Commission and relevant regulatory agencies have expanded the regulatory sandbox mechanism, allowing financial institutions to test generative AI applications in a controlled environment to promote technological implementation and compliant development. Analysts believe that Hong Kong is further enhancing the openness and standardization of its financial markets through a dual regulatory framework for digital assets and AI, while also increasing its competitiveness in the global capital markets.
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