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traderpow is a trader who is passionate about meme coins and NFTs, preferring high-risk, high-reward operations.
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first_img Reports indicate that Moon's Dark Side is seeking to rent advanced chip computing power from NVIDIA in Europe

CNBC cited four informed sources reporting that the Chinese artificial intelligence startup Dark Side of the Moon had discussions this year with several emerging cloud service providers operating data centers in Europe, seeking to rent computing power provided by NVIDIA GPUs. Three of the sources stated that Dark Side of the Moon primarily sought to rent NVIDIA's latest Blackwell series chips; one source indicated that the two parties had discussed renting a computing cluster deployed in Europe, consisting of 8,000 or more Blackwell chips.The sources said that Dark Side of the Moon mainly hopes to utilize these chips for AI model inference while also intending to acquire model training computing power. The United States currently prohibits the export of NVIDIA's most advanced AI chips to China, but existing laws have not granted regulatory agencies broad authority to restrict Chinese companies from remotely using these chips through overseas cloud services. Some cloud service providers and financing institutions, concerned about the U.S. tightening remote usage restrictions, have sought to charge higher advance payments, with proposals requiring Dark Side of the Moon to pay advance payments 30% to 50% higher than those of non-Chinese clients. Dark Side of the Moon was established in 2023 and owns the Kimi series models.

All-In discusses the Democratic Party's victory, estimating a 10 to 15 GW power supply delay

On the night of the U.S. midterm elections, the Silicon Valley podcast All-In held a live broadcast where several tech investors discussed the potential impact of the Democratic Party's victory on the AI industry. Host Chamath Palihapitiya stated that AI investment has become an important pillar of U.S. economic growth, and the construction of data centers heavily relies on power supply. If the Democrats restrict the construction of new data centers in places like Texas, the entire AI industry could be affected. Host Jason Calacanis suggested that the tech industry, which had previously actively supported Trump, should now proactively engage with the Democrats to collaborate on AI regulatory policies. He also believed that the tech community's repeated warnings about AI potentially leading to human extinction and massive unemployment have exacerbated public fear of AI.All-In regular guest and founder of Altimeter Capital, Brad Gerstner, believes that many Democratic winners simply hope to have more say in AI regulation and do not intend to completely halt AI. He estimates that the power capacity for new data centers in the U.S., originally planned for 2027, may see 10 to 15GW unable to be operational on time. He remains optimistic about the growth of AI model companies and stated that as an existing investor in Anthropic, even if data center construction is hindered, Altimeter still hopes to be one of the largest buyers at the time of Anthropic's IPO.

first_img ChatGPT will launch a GIF generation feature powered by the undisclosed Images 2.6 model

OpenAI is gradually rolling out a GIF generation feature within ChatGPT, allowing users to describe animations in natural language or upload existing photos for ChatGPT to convert into GIFs. Once generated, users can adjust playback speed, view frames one by one, edit, and share the final product. According to The Verge, this feature is powered by OpenAI's new image generation model Images 2.6, which has not yet been officially announced through a product release.This GIF feature is part of the Images 2.6 update, which promises faster image generation speeds. The Verge reports that OpenAI is pushing this model to web, desktop, and mobile users of ChatGPT and Codex. Developers will also gain access to two new API models, GPT-Image-2.6 Flare and GPT-Image-2.6 Sunburst, aimed at faster generation speeds and higher quality results, respectively. OpenAI has not released a separate announcement detailing the capabilities of this model.This update follows the release of ChatGPT Images 2.5 in September, which brought sharper details, more precise editing, and up to a 50% increase in generation speed compared to the previous generation. Additionally, OpenAI shut down its standalone AI video generation application Sora in March. Currently, this feature is being rolled out gradually, and most users are temporarily unable to access it; OpenAI has not provided a specific timeline for when all ChatGPT accounts will gain access to the GIF generation feature.

The first case of power theft using a large model in Shanghai has been sentenced, and the man received a three-year suspended sentence

According to a report by The Paper, the People's Court of Xuhui District, Shanghai, sentenced a certain Zong to three years in prison, with a three-year probation, for the crime of illegally obtaining data from a computer information system, and imposed a fine of 40,000 yuan. This case is the first in Shanghai involving the use of AI to forge signatures and misuse large model computing power. Reporters from The Paper learned from the People's Procuratorate of Xuhui District, Shanghai, that by the time of the incident, Zong had illegally accessed the AI platform's interface over 290,000 times, with illegal gains exceeding 34,000 yuan.The procuratorial authorities introduced that in December 2025, after self-learning to access the AI platform's interface, Zong targeted a large model aggregation platform operated by an artificial intelligence company. He found an interface that was not open to the public and built a transit website to resell AI drawing and video generation services at low prices, while actually using the paid computing power of that platform in the background. He used AI to write an automated registration script, batch registering nearly 300,000 free accounts to obtain bonus points for new users, and bypassed IP registration restrictions.In January of this year, after the platform added electronic signature verification, Zong continued to use AI tools to create scripts to forge signatures and persistently call the interface. Two video and graphic design applications under the victim company saw over 4 million accounts registered from the same IP in a short period. After reporting the case in March this year, Zong was arrested. The prosecuting attorney stated that the involved platform had never provided API paid access services to the public, and the user agreement explicitly prohibited automated scraping and bypassing verification.

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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