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first_img A Canadian man was extradited to the United States for hijacking a supercomputer at an American university for mining

According to Decrypt, the U.S. Department of Justice announced on Tuesday that a Canadian man has been extradited to the United States, facing charges of assisting in the intrusion of university computers, stealing login credentials, and secretly mining cryptocurrency.A federal grand jury in the Western District of New York indicted 35-year-old Ryan James Roach, a resident of Saskatchewan, and 41-year-old Mathiew James Stubbings, a resident of Ontario, on charges including conspiracy to obtain and damage protected computer information, obtaining protected computer information, and intentionally damaging protected computers, which could result in a maximum sentence of 10 years in prison and a $250,000 fine.The indictment shows that between June 2016 and December 2019, the two targeted U.S. educational institutions with supercomputers, first researching their cybersecurity weaknesses before executing the intrusions. Once inside the systems, they allegedly deployed malware, stole login credentials, and forced the victims' computers to mine for them.Victims included institutions in New York, Tennessee, North Carolina, and Massachusetts. The two reportedly used virtual private servers registered under false names in multiple countries to send malware and mining programs and store stolen credentials, while also forwarding attacks through other victims' compromised computers to hide their identities.Roach was extradited from Canada on October 28 and was arraigned in Rochester, New York, where he is currently detained awaiting a detention hearing. Extradition proceedings for Stubbings are still ongoing in Canada. This case falls under cryptocurrency hijacking, where attackers use others' computers to mine, leaving the victims to bear the electricity costs and suffer performance degradation. The Department of Justice did not specify the particular cryptocurrencies mined by the two.Google's Threat Intelligence team released a report on Monday stating that attackers are expected to increasingly prioritize LLMjacking over traditional resource thefts like cryptocurrency hijacking, which involves hijacking corporate access to AI models and shifting the billing.

Micron pauses its $4.5 billion factory plan in Taoyuan, labor disputes threaten AI storage expansion

According to Bloomberg, due to ongoing labor disputes with employee unions, Micron Technology has essentially suspended its plans to build a new storage chip factory in Taoyuan, Taiwan, with a project investment budget of $3 billion to $4.5 billion, originally scheduled to start production in 2028. Sources indicate that Micron is concerned that the agreement reached with the union may be overturned, and currently only a small amount of site safety maintenance work is being retained, after which construction will be frozen.The dispute arises from employees' demands to share the profit growth brought by the AI boom. The Taoyuan union is requesting that Micron distribute 15% of its operating profits to global employees and hopes to receive a full cash bonus rather than a portion in stock. Although Micron reached an agreement with the larger Taichung union in October, some employees are dissatisfied with the terms of the agreement, and the Taoyuan union is attempting to expand its organization to push for renegotiation.The project was originally planned to produce high-bandwidth memory (HBM) and DRAM using ASML's advanced equipment. Taiwan currently contributes about 60% of Micron's DRAM output and is also an important production base for HBM, employing approximately 15,000 people. Micron responded that the company's existing operations in Taiwan are normal and will ensure business continuity for customers, but did not directly comment on the suspension of the Taoyuan project. Taiwan's economic department stated that the government will assist Micron in resolving differences with the union and promote the implementation of the investment plan.

After the U.S. midterm elections, anti-data center forces are on the rise, putting pressure on Asian AI chip stocks

According to Wall Street News, the Democratic Party achieved a significant victory in the U.S. midterm elections, with several candidates who clearly opposed the expansion of data centers elected as governors, raising concerns in the market about a slowdown in AI infrastructure investment in the U.S. Asian chip stocks were under pressure on Wednesday, with companies like Samsung Electronics and SK Hynix facing risks that demand for server DRAM and high bandwidth memory (HBM) could be affected.The opposition to data centers mainly focuses on issues such as noise, water consumption, energy consumption, and increased electricity bills for residents. The market is concerned that local governments may tighten project approvals under the pretext of power supply, environmental protection, and AI safety, leading to delays in the construction of new data centers. However, analysts believe that regulation may not directly lead to a shrinkage in investment scale, and tech companies may also turn to building their own power and supporting infrastructure.For South Korean companies, the election results have varying impacts. The Democratic Party's control of Congress may counterbalance the Trump administration's efforts to cut subsidies from the CHIPS and Science Act, benefiting companies like Samsung that invest in the U.S.; the clean energy tax credit policy is also expected to be restored, potentially benefiting solar companies like Hanwha Solutions. Meanwhile, significant easing of automotive tariffs is unlikely, while the Korea-U.S. shipbuilding cooperation framework is expected to continue.

Binance disclosed the process of 6.3 billion dollars being stolen: hackers lurked for 4 months and breached 3 computers

The cryptocurrency exchange platform Binance released a preliminary investigation report on a security incident, disclosing the attack process in which approximately $6.3 billion in assets were stolen. The report states that an engineer, referred to as Little A, from the wallet operations team, searched for and installed an AI programming tool in June 2026, downloading a tampered Homebrew installation package from the search results. After the security team discovered the anomaly, they replaced the relevant equipment, but Little A still exposed the wallet infrastructure permissions.The report indicates that the attacker continued to lurk thereafter. In September, the attacker contacted a software engineer, referred to as Little B, through a recruitment platform, posing as a project director, and conducted video interviews and social media interviews, sending a code repository as an assignment. Little B downloaded the repository to their work computer and set it up according to the instructions. One file of 3,414 bytes bypassed terminal security protections and used internal AI tools to find traces related to Little A.The report states that on October 30, the attacker logged into another employee, referred to as Little C's, computer and transferred $6.3 billion. Binance stated that approximately $6.34 billion in assets were affected, with about $2.85 billion frozen or intercepted, and the losses covered by the SAFU fund and company funds. As of October 31, 98% of the affected tokens have been replenished.

first_img Elon Musk mocks Sam Altman: Idle DRAM in home computers is a waste

Elon Musk mocked OpenAI CEO Sam Altman on X with a meme regarding the idle memory of home computers. In an interview on the YouTube channel Cheeky Pint, Altman stated that from a global resource allocation perspective, allowing the world's limited DRAM supply to sit idle in personal computers and only being used 5% of the time is "quite bad." In a constrained supply environment, it should be maximized in the cloud, but many people's intuition is contrary to this.Musk posted a meme of the Nazi officer Hans Landa, played by Christoph Waltz in "Inglourious Basterds," on Sunday, captioned "You are withholding DRAM and not giving it to the cloud, right?" and wrote, "People should also have their own RAM!"This clash is a continuation of the long-standing conflict between the two OpenAI co-founders. The two co-founded OpenAI in 2015 with others, and Musk left in 2018. Musk sued OpenAI and Altman in 2024, accusing them of deviating from the nonprofit mission of the open organization; in May of this year, a federal jury in California dismissed the $150 billion lawsuit, ruling that OpenAI, Altman, and President Greg Brockman bore no liability on all counts. Altman also attributed part of the memory shortage to the caution of storage manufacturers, stating that in the past, DRAM producers "invested $20 billion in capital expenditures but only earned $19 billion," and companies that experienced previous overcapacity cycles are slow to expand production.

first_img Internet Court handles approximately 12,000 AI agency disputes daily

The dispute resolution protocol Internet Court, supported by GenLayer, allows AI agents to enter into contracts with humans, with funds held in escrow and released once the terms are determined to be fulfilled. This protocol has been in a testing phase for the past year and currently processes about 12,000 rulings daily. It has been used to verify user-uploaded photos for Collective Memory and to handle disputes on argue.fun, with the mainnet expected to launch next month.Disputes are submitted to a jury composed of 5 randomly selected GenLayer validators, each running different AI models, including a series of Claude, Gemini, ChatGPT, and DeepSeek. Initial rulings are completed within minutes by a simple majority, after which appeals can be made to a broader jury of 11, 23, or even up to 1,500 AIs; finality is usually reached within 30 minutes, with a maximum of about 3 hours. This mechanism draws on philosopher Condorcet's jury theorem to reduce single model bias through multiple independent evaluators.The Internet Court open alliance currently has 35 members, including ZKsync, NEAR, Consensys, and UMA. GenLayer has also launched intelligent contracts that support subjective judgments, capable of processing code, natural language, accessing the internet, and understanding images. GenLayer co-founder and CEO Albert Castellana believes this technology can be used to expedite dispute resolutions in prediction markets but also states that AI judgment is still insufficiently reliable to identify deepfakes or resolve neighborhood boundary disputes, with model bias and "representation convergence" potentially leading to groupthink issues.

Star Market Chip Design Q3 Report: 67 Companies with Revenue Growth, Storage and Computing Power Lead

According to statistics from Cai Lian She Venture Capital Tong, 76 chip design companies on the Sci-Tech Innovation Board have disclosed their third-quarter reports, among which 67 companies have positive revenue growth (accounting for 88.16%), and 53 companies have positive net profit attributable to shareholders (accounting for 69.74%). The industry as a whole is recovering, with storage and computing power becoming the two main lines of performance elasticity.The storage segment performed outstandingly, with Changxin Technology achieving revenue of 269.024 billion yuan in the first three quarters, a year-on-year increase of 738.5%; Baiwei Storage reported revenue of 21.717 billion yuan, a year-on-year increase of 230.3%; and Dongxin Co., Ltd. reported revenue of 3.292 billion yuan, a year-on-year increase of approximately 475%. The computing power and interconnect segments followed closely, with Cambrian achieving revenue of 9.526 billion yuan, a year-on-year increase of 106.8%; Haiguang Information reported revenue of 14.955 billion yuan, a year-on-year increase of 57.6%; and Lanke Technology reported revenue of 5.414 billion yuan, a year-on-year increase of 33.4%.In addition, among the 28 companies that reported losses in the same period last year, 13 have turned losses into profits, and 6 have narrowed their losses. Overall, the chip design segment has entered a structurally prosperous phase driven by demand for AI infrastructure.

BlackRock expects that Anthropic will receive a junk rating after going public, as its over $800 billion AI computing power plan faces financing pressure

According to a report by the Financial Times citing informed sources, Blackstone recently informed investors in a $63 billion chip financing deal for Anthropic that the company may not immediately receive an investment-grade rating after going public, with major rating agencies more likely to assign it a BB range rating, which is speculative grade (commonly referred to as "junk grade").According to the rating systems of S&P and Fitch, BBB- and above are considered investment grade, while BB+ and below are considered speculative grade. If Anthropic ultimately receives a junk grade rating, its financing costs may rise, and the range of funds available to institutions such as insurance companies and pension funds, which are subject to investment-grade investment restrictions, will also narrow.The financing pressure mainly comes from Anthropic's massive computing power expenditure plans. The company previously disclosed plans to invest over $800 billion in computing infrastructure by 2045. Although Anthropic currently holds over $112 billion in cash and cash equivalents and plans to further raise funds through an IPO, the long-term commitments to computing power still raise concerns among investors about its future funding needs and debt capacity.After the report was released, U.S. tech stocks fell further, with the Nasdaq 100 index ultimately down 3.5%. However, Anthropic has not yet received a formal credit rating from S&P, Moody's, or Fitch, and Blackstone's assessment is not an official rating result.
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