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Coinbase reaches a settlement with the U.S. SEC over the Freedom of Information Act lawsuit and promotes reforms in record-keeping policies

According to The Wall Street Journal, Coinbase Chief Legal Officer Paul Grewal stated that Coinbase has reached a settlement with the U.S. Securities and Exchange Commission regarding a Freedom of Information Act lawsuit, with the SEC agreeing to pay $150,000 and amend its record-keeping policies. The lawsuit revealed that the SEC lost nearly a year’s worth of communications from former Chairman Gary Gensler and other senior officials during the peak enforcement period in the cryptocurrency industry.Coinbase had previously requested documents from the SEC regarding how it applies securities laws to digital assets, but the request was denied, leading to a lawsuit that received court support. The SEC claimed that some text messages were lost due to an automatic data deletion process. Grewal pointed out that the SEC has imposed billions of dollars in fines on financial institutions for similar record-keeping issues.In February of this year, Coinbase also reached a settlement with the Federal Deposit Insurance Corporation regarding another Freedom of Information Act lawsuit. Coinbase stated that this lawsuit revealed that the FDIC had instructed nearly twenty banks to suspend cryptocurrency-related activities since 2022, which subsequently led to congressional hearings and resulted in a court ruling that the FDIC violated federal law.Grewal stated that both lawsuits revolve around government transparency and due process, emphasizing that the American public has the right to know whether regulatory agencies are restricting legitimate cryptocurrency businesses from accessing banking services through non-public means.

first_img Analysis: The significant net outflow of BTC spot ETFs from May to July reflects the absence of institutional buying, and the market may have entered the clearing tail end

On-chain data analyst Murphy stated that this cycle is significantly different from the past due to the influx of traditional institutional funds brought in by the BTC spot ETF. He pointed out that the net flow of the ETF essentially records the subscription and redemption results of authorized participants (AP) in the primary market. It will only translate into net inflows or outflows in the data when the selling pressure in the secondary market continues to push the ETF price away from its net asset value and exceeds the arbitrage cost line.Murphy analyzed the data from glassnode and noted that from January to February, the market showed "high trading volume + slight net outflow," indicating that although there was obvious panic selling at that time, there was still a large amount of buying support. In contrast, from May to July, the market exhibited "low trading volume + significant net outflow." The more core signal was not a significant increase in selling pressure, but rather the absence of marginal buying, leading to the ETF consistently trading at a discount and resulting in AP redemptions.He believes that this stage is more likely to reflect a second round of "surrender" at the institutional level, which typically belongs to the tail-end clearing pattern of the market, and judges that this may provide new layout opportunities for retail investors, although the duration cannot be clearly determined by the current data.

The National Development and Reform Commission released the "Action Plan for the Cooperative Development of Artificial Intelligence," proposing eight major actions to promote global AI collaboration

The National Development and Reform Commission officially released the "Action Plan for the Cooperative Development of Artificial Intelligence," aimed at building an open, shared, secure, orderly, and collaboratively governed global artificial intelligence ecosystem. The plan clearly outlines eight core actions, comprehensively promoting deep international cooperation in the AI field from multiple dimensions, including data, computing power, algorithms, talent, and governance. At the foundational level of data and computing power, the action plan emphasizes the need to promote cross-border data flow and build a trustworthy cross-border data space, collaboratively constructing a high-quality corpus; at the same time, it promotes the interconnection of intelligent computing facilities, providing inclusive intelligent computing services to developing countries, and creating low-carbon intelligent computing infrastructure driven by green energy.In terms of industrial empowerment and ecological sharing, the plan encourages the co-construction of an international open-source community for artificial intelligence, promoting the sharing of general large models, basic algorithms, and tool components, and supporting countries in conducting localized innovation based on open-source models. By deepening "Artificial Intelligence +" cooperation, it aims to build a cross-national industrial cooperation platform, promoting the deep application and empowerment of AI technology in fields such as science, manufacturing, healthcare, education, agriculture, and governance. In addition, the plan also proposes the establishment of a joint training mechanism for top digital talent, collaboratively formulating occupational standards and skill certification systems, comprehensively enhancing public literacy, and jointly addressing the structural impacts of AI on employment.Regarding industry rules and technical security, the action plan advocates for the co-construction of rules and standards and collaborative governance for security. All parties will strengthen information sharing on cybersecurity threats and emergency response cooperation, researching ways to enhance the explainability, transparency, and safety of artificial intelligence. Finally, the plan emphasizes adherence to the technological ethics principle of "AI for Good," collaboratively constructing an ethical guideline system dedicated to eliminating algorithmic biases in the forms of racism, discrimination, and others. By promoting international governance cooperation in AI research, it aims to contribute public scientific products to the Global South, effectively serving the United Nations' 2030 Sustainable Development Goals.
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