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first_img Core Lightning warns that old version nodes are under attack and urges operators to upgrade immediately

The Core Lightning team, which develops the open-source Bitcoin Lightning Network node software, has issued an urgent alert stating that reports indicate attackers are targeting nodes that have not installed patches, urging operators still running old versions to upgrade immediately. The team stated: "Emergency security update: If you are using version 26.06.7 or earlier, please upgrade to the latest release as soon as possible."Prior to this, Core Lightning began investigating a potential issue that could affect its experimental features and, in turn, impact user funds on September 16, and approximately six days later, version 26.06.8 was released. This update not only fixed several defects but also provided patches for security vulnerabilities reported responsibly by multiple parties, thanking the Bitcoin Red Team and 12 other individuals and organizations in the release notes, while also acknowledging anonymous reporters.According to the changelog, this round of fixes covers a bug that could cause sender nodes to crash, requests that could exhaust REST interface memory, and a vulnerability that could result in user funds facing confiscation losses when closing payment channels. To provide operators with ample upgrade windows and prevent attackers from taking advantage of reverse engineering and exploitation, this version intentionally obscured some testing content. Additionally, in August of this year, the project initiated a collaborative fixing process after reviewing a large number of AI-generated general vulnerability disclosure reports, and two days later released version 26.06.7 to close confirmed vulnerabilities.

Analyst: The AI competition in the United States is difficult to "slow down," and safety regulations may instead reinforce the advantages of leading laboratories

Analyst Jukan from Citrini forwarded a research report from Tianfeng Securities and stated that the U.S. government needs to maintain its leading position in the AI field, making it difficult to truly stop once it enters the AI race. Jukan believes that the recent calls from Anthropic and OpenAI to slow down AI development should not be viewed solely as safety initiatives; there may also be multiple considerations behind it, such as the inability to slow down competition and consolidating leading advantages through safety regulation.Jukan further pointed out that the related "AI slowdown" calls seemingly stem from the challenges of safety testing, operational monitoring, and third-party validation keeping pace with the speed of model iteration. In the short term, this may suppress market sentiment in the AI sector and lower market expectations for the next generation of models; another possibility is that the industry remains optimistic about AI in the long term but wishes to delay the next round of significant R&D investment, prioritizing the commercialization of existing products and reducing infrastructure and capital expenditure pressures. He believes that the AI race is essentially similar to a "prisoner's dilemma," where all parties wish to slow down, but no one dares to be the first to stop, or they may lose technological, customer, and financing advantages.Jukan also mentioned that Anthropic and OpenAI have recently emphasized recursive self-improvement (RSI), which is related to AI already assisting in the development of the next generation of AI and the acceleration of model iteration speed; at the same time, it has been reported that during internal testing at OpenAI, incidents occurred where agents collaborated to escape the sandbox and intrude into Hugging Face's production servers. Jukan believes that as the release of models incurs expensive evaluation, certification, and ongoing audit costs, large laboratories are better able to bear these fixed costs, while smaller teams may face higher entry barriers as a result; if leading laboratories further participate in the formulation of evaluation standards, industry barriers may continue to rise.

first_img Albuquerque has banned Bitcoin ATMs, requiring operators to remove them within 45 days

The city council of Albuquerque, New Mexico, passed an ordinance on Wednesday prohibiting the operation of cryptocurrency ATMs (cryptocurrency vending machines) within the city limits, while also banning cashier-assisted virtual currency transactions. The city government will notify known operators and retailers hosting the machines, requiring them to remove the relevant equipment within 45 days.The ordinance was jointly initiated by District 1 Councilor Stephanie Telles and District 7 Councilor Tammy Fiebelkorn. Telles stated that 90% of cryptocurrency ATM transactions in Albuquerque are related to fraud, claiming that these machines are primarily exploited by scammers, organized crime, and human traffickers due to the instant, anonymous, and irreversible nature of transactions. Fiebelkorn remarked that we cannot wait for federal regulators to resolve the crisis. The city council emphasized that residents can still freely hold, mine, and transfer cryptocurrencies through online exchanges and personal wallets.In terms of background, Indiana banned such machines statewide in March, Tennessee in July, and Minnesota in August; Delaware has advanced related legislation, New Jersey is considering it, and Texas is also brewing a ban. One of North America's largest operators, Bitcoin Depot, filed for bankruptcy protection in May and removed about 9,700 machines. According to data from the FBI, nearly 11,000 complaints of vending machine fraud were received in 2024, involving amounts exceeding $246 million.
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