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first_img A U.S. judge ruled that the Trump administration illegally retaliated against Anthropic, lifting the ban and issuing a permanent injunction

U.S. Federal Judge Rita Lin issued a partial summary judgment in a 59-page ruling regarding Anthropic's lawsuit against the Trump administration, determining that the government's punishment of Anthropic for publicly refusing to allow the military to use its Claude large model for mass surveillance of U.S. citizens and lethal autonomous operations constituted illegal retaliation, violating the First Amendment, due process clause, and the Administrative Procedure Act. The judge also revoked the related designations and Defense Secretary Hegseth's injunction, issuing a permanent injunction.The controversy arose from the Pentagon's demand that Anthropic remove all usage restrictions and accept terms allowing "all lawful uses," while Anthropic maintained its last two bottom lines. On February 27, 2025, Trump ordered all federal agencies to cease using the company's technology, and Hegseth subsequently prohibited any military contractors from doing business with it. During this process, the government abandoned its core claims, acknowledging that Anthropic had no backdoor access to the deployed models and that the risks of Claude were no greater than those of other "black box" systems. Lin pointed out that the government's punishment under the guise of "national security" was not a blank check, and that the government had been operating under the preliminary injunction since March without indicating any harm.Anthropic did not achieve a complete victory, as its claim that Trump's directive exceeded presidential authority was dismissed. Anthropic informed the court that if the relevant measures continued, its defense-related revenue would decrease by 50% to 100%, resulting in a loss of billions of dollars in overall revenue by 2026.

first_img The British judge rejected the extradition defense of the former CEO of Saitama, and the case has been transferred to the UK government

According to a report by Reuters, British judge Samuel Goozee dismissed the extradition defense of former Saitama CEO Manpreet Kohli on August 19 and transferred the case to the UK government to make a decision on the US extradition request. Kohli can still appeal, and the extradition has not been finalized; he is currently released on bail set at £200,000 (approximately $272,400).US prosecutors have charged Kohli with wire fraud, market manipulation, and related conspiracy, as well as operating an unlicensed remittance business, involving the Ethereum-based token Saitama, which once had a market value of about $7.5 billion. Kohli defended himself by arguing that the US could not adequately handle his mental health and the risk of suicide during detention, but the judge believed that the transfer and the safeguards of the US prison system could reduce the risk to an acceptable level. Previously, a federal judge in Boston had also dismissed his motion to dismiss the charges.The case stems from the "Operation Token Mirrors" investigation initiated by the US Department of Justice in October 2024, involving fraud and wash trading. Prosecutors allege that 18 individuals, including Kohli, coordinated multiple wallets to purchase tokens and paid ZM Quant and Gotbit to conduct wash trading on several exchanges, with Kohli suspected of profiting about $20 million. Gotbit has admitted to manipulating token prices and trading volumes and was ordered to pay $23 million in June 2025, while its founder Aleksei Andriunin was sentenced to 8 months in prison.

The UK's fraud review suggests that judges accept training on crypto money laundering and AI fraud, mentioning over 61,000 BTC seizure cases

A fraud review commissioned by the UK government suggests that the Judicial College should provide training for all judges and magistrates in England and Wales to address the increasing cases involving AI fraud and the use of cryptocurrency for money laundering. The report states that the overall Fraud Act 2006 can be used to handle AI fraud, but the issue lies in the courts' lack of preparedness to hear related cases.The report recommends evaluating whether the existing "long and complex trials" course should be updated or replaced with specialized modules on fraud and related crimes, and considers mandatory training for judges who may hear complex fraud cases. The report claims that fraud could soon account for half of all crime in England and Wales, with an estimated 4.1 million cases occurring within a year by June 2025, affecting 1 in every 14 adults and 1 in every 4 businesses. The Financial Ombudsman Service estimates that currently over half of investment scams involve crypto assets.The report also mentions the case of Qian Zhimin, who operated a Ponzi scheme in China, defrauding over 128,000 victims of approximately £5 billion and laundering the proceeds into Bitcoin. This case resulted in the largest confirmed Bitcoin seizure in UK history, exceeding 61,000 BTC, and Qian Zhimin was sentenced to 11 years and 8 months in prison at Southwark Crown Court in November.

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.
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