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Anthropic donates another $20 million, doubling AI policy lobbying funds

Artificial intelligence company Anthropic announced on Wednesday that it will make an additional donation of $20 million to the bipartisan advocacy organization Public First Action, bringing its total commitment to $40 million. Anthropic stated that the decision for the additional donation stems from the continuous enhancement of AI model capabilities (including its self-developed Mythos model) and the potential risks it brings.Public First Action is a 501(c)(4) nonprofit organization dedicated to public education on AI transparency and safety. The organization is associated with three super political action committees (super PACs) and plans to support candidates advocating for AI safety across both parties. Anthropic emphasized that the donations are solely for supporting Public First Action's policy mission and cannot be used to influence the election of specific candidates.In a statement, Anthropic noted that AI policy decisions will impact various aspects of public life, including the labor market and national security, and the company hopes to promote "flexible regulation" to manage risks while reaping the benefits of AI. Currently, the super PAC "Leading the Future," which advocates for rapid AI development and light regulation, has received significant funding from supporters including OpenAI co-founder Greg Brockman and venture capital firm a16z. As AI increasingly becomes a topic in elections, public education and lobbying efforts by advocacy groups are continuing to ramp up.

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.

Famous traders have closed all their cryptocurrency short positions and have started buying Bitcoin spot again

Well-known crypto trader Doctor Profit stated that he has closed all cryptocurrency short positions, including a Bitcoin short position established in the $115,000 to $125,000 range, another Bitcoin short position established in the $79,000 to $82,000 range, and over 100 altcoin short positions opened in the past few months, claiming that these positions have all achieved significant profits.He also mentioned that he has re-entered Bitcoin spot at $64,000, marking his first long allocation since September 2025. His plan is to invest 5% of the planned funds daily for spot purchases when Bitcoin is in the $54,000 to $64,000 range, continuing for a maximum of 20 days; if the price approaches $54,000, he will increase the buying intensity. Doctor Profit believes that there is a clear "herd behavior" in the current market: investors who were previously bullish at high levels up to $150,000 are now generally waiting for Bitcoin to drop to $40,000 to $50,000, viewing September or October as the bottom of the four-year cycle. When a large number of investors are waiting for the same price and time point, the market may not operate according to this expectation, which is why he chose to build positions in advance, judging that this round of bottom may appear earlier than the market generally expects.He also listed regulatory clarity, asset tokenization infrastructure, and institutional adoption progress as structural reasons for the shift to buying, and retracted his previous prediction that Bitcoin would drop to $40,000 to $50,000. However, he still retains all short positions in the S&P 500 index, believing that the crypto market has undergone significant repricing, while U.S. stock valuations remain relatively high.

Zhipu has acquired AI Infra company Zhongke Jiahe for hundreds of millions, fully addressing the shortcomings in underlying heterogeneous computing power engineering

According to "AI Technology Review," China's leading large model company Zhipu has invested hundreds of millions of yuan to acquire the AI heterogeneous computing power software infrastructure company Zhongke Jiahe. This move aims to completely address Zhipu's shortcomings in the underlying engineering and compiler capabilities of large models, in response to the structural shortage of computing power and high-concurrency inference challenges caused by a surge in user numbers.Zhongke Jiahe's technology originates from the Compiler Laboratory of the Institute of Computing Technology, Chinese Academy of Sciences, founded by Dr. Cui Huimin. Its core team has been deeply involved in the development of compilers for several domestic chips, including Loongson, Sunway, Cambricon, and Huawei Ascend. Zhongke Jiahe's core advantage lies in its virtual instruction set technology, which can unify different brands and models of chip ecosystems through middleware software, assembling scattered domestic chips into a unified ultra-large-scale cluster, thereby significantly improving overall computing power utilization; its SigInfer inference engine is claimed by the official source to reduce the inference latency of large models by up to 74 times.Recently, Zhipu's Coding Agent business has experienced explosive growth. The newly released GLM-5.2 large model saw a 27-fold increase in daily Token call volume during its first week on the aggregation platform, leading to the exposure of systemic engineering bottlenecks in its inference infrastructure under high concurrency and long context scenarios. After being placed on the U.S. Entity List, Zhipu has actively promoted domestic alternatives and has now completed inference adaptation for eight major domestic computing power platforms, including Huawei Ascend, PingTouGe, and Moore Threads. The acquisition of Zhongke Jiahe will not only directly improve Zhipu's unit Token inference cost and output quality but also provide core underlying compiler technology support for its previously rumored self-developed custom AI inference chip plan.

The Japanese Senate passed a revised version of the Financial Instruments and Exchange Act, applying a 20% tax rate on crypto assets and lifting the ban on ETFs

According to Japanese media reports, the Japanese Senate officially voted today to pass the revised "Financial Instruments and Exchange Act." This amendment marks the formal inclusion of crypto assets (virtual currencies) into the regulatory scope of financial products, no longer limited to the constraints of the "Funds Settlement Act" as a means of payment.In terms of regulation and investor protection, the new rules introduce an insider trading regulatory mechanism for the crypto market, while also accepting oversight from monitoring committees such as those for securities trading. Additionally, the law significantly increases the penalties for unlicensed operators, with the maximum sentence raised from 3 years to 10 years in prison, and the maximum fine increased to 10 million yen. This revised legislation is expected to be officially implemented by July 2027.In terms of taxation and investment channels, the new rules clarify several significant policy changes. Starting from January 2028, the tax rate on profits from crypto asset trading in Japan will be reduced from the current maximum of 55% comprehensive taxation to a unified tax rate of 20%, the same as for stocks (separate declaration taxation). Furthermore, the Japanese market is also expected to officially lift the ban on crypto asset ETFs during the same period, with various securities institutions already beginning preparations for related entry matters.
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