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According to BBX data, yesterday and in recent days, global publicly listed companies in the U.S. stock market have announced the latest developments regarding the sale of digital asset reserves and business operations, with key information as follows:· Hyperscale Data (NASDAQ: $GPUS) liquidated the remaining 211 bitcoins, fully transforming into an AI data center: The publicly listed company Hyperscale Data announced that as of November 8, the company has sold all of the remaining 211.56 bitcoins on its balance sheet at an average price of approximately $76,000 per bitcoin, cashing out about $16 million. Since initiating the liquidation of its reserves in late July this year, the company has cumulatively sold about 1,113 bitcoins, generating total revenue of approximately $74.4 million. The official statement clearly indicates that these funds will be specifically used to repay company debts and accelerate the construction of its AI data center in Michigan.· Bitdeer (NASDAQ: $BTDR) released its Q3 2026 financial report, with bitcoin production surging 248% year-on-year: Leading bitcoin mining company Bitdeer announced impressive performance for the third quarter. The total revenue for the quarter reached $320.7 million, a significant year-on-year increase of 89%; adjusted EBITDA soared 173% to $69.6 million. In terms of computing power and output, its self-mining computing power surged 135% year-on-year to 82.3 EH/s, driving the total bitcoin production for the quarter to 3,855 bitcoins, achieving an astonishing year-on-year growth of 248%.· SOL Strategies disclosed Q4 performance, with its HoudiniSwap trading volume skyrocketing: SOL treasury ecosystem company SOL Strategies released preliminary unaudited performance for the fourth fiscal quarter. The total revenue for the quarter was approximately CAD 4 million (about USD 2.83 million). Notably, its decentralized exchange protocol HoudiniSwap successfully processed approximately CAD 326 million (about USD 231 million) in exchange transactions during its first full quarter after being integrated into the company, generating approximately CAD 3.4 million (about USD 2.41 million) in exchange fee revenue. Its trading volume in September saw a significant increase of 37% compared to June.

According to the latest data from Glassnode, approximately 35.4% of the Bitcoin supply (7.12 million BTC) public keys are visible on-chain, which is part of what future quantum computers may attack.Among them, address reuse accounts for 25.8%, and exchanges account for 11.6%. The exposure ratio has continued to rise from 24.8% at the beginning of 2021, and the risk exposure under the threat of quantum computing is expanding. Glassnode points out that transferring these tokens to new addresses can eliminate this exposure risk.

According to the Financial Times, U.S. regulators have delayed Wall Street's request to promote artificial intelligence computing power futures trading.

According to PR Newswire, Marble, an institutional multi-asset trading and computing credit company founded by former BitGo and Galaxy Digital executives Matt Ballensweig and Leon Marshall, has announced its launch and completed a $11 million seed round financing, led by Polychain Capital, with participation from institutions such as Maven 11, Ripple, Susquehanna Crypto, Lattice, Blockwall, and several angel investors in the AI field.Marble operates through two business lines. Marble Compute focuses on building private credit channels for AI infrastructure, connecting institutional lenders with neoclouds and GPU operators; Marble Markets builds an institutional trading platform covering digital assets, real-world assets, prediction markets, and computing power.The two founders serve as co-CEOs: Ballensweig was the global trading head at BitGo, and Marshall was the CEO of Galaxy Digital's European operations.

NeoSoul and Brevis announced a technical collaboration to explore how to protect sensitive data in AI trading.As AI Agents take on more specific trading tasks, users' trading methods, preferences, and related data will also enter the product workflow. For individual users and platforms, clear data usage boundaries and explicit computational verification methods are important considerations in the design of such products.Brevis is a verifiable computing platform based on zero-knowledge proofs, with related technology supporting the processing of historical data from the supported chain, executing specified computations, and verifying computation results through proofs. This collaborative exploration will combine the practical needs of AI trading to study applicable scenarios for the relevant technology.NeoSoul continues to advance product development around Agentic Trading, refining the AI trading experience for individual users through NeoTrade, and promoting capability openness for platforms and other Agents. The collaboration with Brevis is a progress in NeoSoul's expansion of professional technical cooperation in this direction.NeoSoul's co-founder stated: "In the future, more and more AI Agents will directly participate in financial markets on behalf of individuals and platforms, and financial infrastructure needs to adapt to a new batch of market participants. Protecting trading strategies and computational verification will become crucial issues that restrict the scaling of Agentic Trading. Our collaboration with Brevis aims to provide the necessary technical foundation for the development of this trend."

According to Caixin, Chen Zhongyue, Chairman of China Mobile, stated on November 6 at the 2026 Mobile Network Conference that the largest incremental investment for China Mobile in 2026 will be in computing power. This year, three gigawatt-level computing parks will be newly constructed, expected to deliver 1.5 gigawatts of capacity, and next year, two more will be built, bringing the total to seven gigawatt-level data parks.Chen Zhongyue mentioned that China Mobile has established multiple ten-thousand-card intelligent computing clusters, and in the next two years, computing capacity will double continuously; by 2027, the total procurement amount is planned to be increased to over 500 billion yuan, with more than 100 billion yuan invested in computing power. In addition, China Mobile has currently set up six data centers overseas.

Vitalik Buterin posted on the X platform expressing disagreement with the recent strong negative reactions against the anti-data center movement, believing that the overall benefits of slowing down the massive expansion of computing power outweigh the drawbacks.Vitalik pointed out that with continuous advancements in algorithms, the AI capabilities that will require larger-scale data centers in the next two years may be achievable through existing data centers in about four years or even a shorter time. Therefore, even if the anti-data center movement achieves significant results, it may not necessarily lead to catastrophic consequences.He further stated that the world needs more time to address the already evident cybersecurity threats and potential future risks such as biosecurity. At the same time, scientific research is constrained by many factors beyond AI, so a one-year slowdown in AI development may result in a practical delay in scientific progress that is much less than a year. He emphasized that this judgment does not rely on the controversial AI doomsday risk theory.

Ethereum co-founder Vitalik Buterin expressed his disagreement with the strong emotional reaction against the anti-data center movement this week. The core logic is based on algorithmic advancements; now larger and more data centers are needed to complete tasks that could be done in two years with existing data centers in four years (or even sooner). Therefore, even if the anti-data center movement achieves extreme success, it will not trigger any apocalyptic catastrophic consequences.Vitalik pointed out that slowing down the expansion of computing power can buy humanity more time to strengthen responses to the already emerging cybersecurity issues and potential biological risks in the future. At the same time, scientific applications are constrained by many factors beyond AI, so if AI development slows down for a year, the degree of scientific progress slowdown will be much less than a year. Overall, the slowdown in the massive expansion of computing power seems to have a net positive effect, and this judgment does not rely on controversial arguments such as "apocalyptic theories" or recursive self-improvement (RSI).

Tom Lee, Chairman of the Bitcoin treasury company Bitmine, stated in an interview with CNBC that the AI investment boom is far from over. As more and more users utilize tokens, the demand for computing resources may continue to rise, leading to a tightening of computing power supply again and driving related prices up. The bottleneck in AI infrastructure may once again become a focus of market attention. In addition, while many states and local communities in the United States welcome the economic benefits brought by AI investments, they will also seek to promote related investments based on their own conditions and strengthen AI safety regulations.

Market news indicates that Microsoft is gradually terminating its transactions with Oracle related to renting artificial intelligence cloud computing power.

According to Tech in Asia, the Singapore-based semiconductor startup Symatics released the Morphic Processing Unit (MPU) architecture at the 2026 Business and Charity Forum, aiming to improve AI response speed by optimizing data organization and processing methods.Symatics stated that the architecture employs row-column parallel processing and compiler planning execution mechanisms to reduce data transfer between memory and computing units, primarily targeting interactive AI and inference tasks. The company plans to collaborate with Singapore's research institutions and industry partners through an open architecture and licensing model. Currently, the MPU is still in the R&D stage, with technical validation work ongoing, and no progress has been disclosed regarding financing, prototype chips, or tape-out.

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.

OlympusDAO stated: The official OHM cross-chain bridge has fully migrated from LayerZero to Chainlink CCIP, covering seven chains that support OHM.

OpenAI released the "National Community Compact" and the "Compute Campus Policy Blueprint," referring to AI data centers as "Compute Campus," and made commitments regarding community communication, energy costs, and information transparency.The compact applies to the campuses that OpenAI will own and operate in the future. It clearly states that public officials will not be required to sign non-disclosure agreements (NDAs) as a condition for discussion or negotiation, retaining only limited protection for security information, trade secrets, or proprietary sensitive information; it will bear the full costs of electricity and supporting infrastructure, protecting other users' electricity rates; publicly disclose construction plans, as well as impacts such as noise, water usage, electricity usage, and sustainability.The policy blueprint calls for federal, state, and local governments to legislate to limit mandatory NDAs for public officials, require disclosure of environmental impacts and employment data, and protect residents from subsidizing the electricity costs of data centers.

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.

According to a report by Huang Xinyi from the Science and Technology Innovation Board Daily, at the HarmonyOS Office Industry Summit, Huawei launched its first HarmonyOS desktop computer, the Huawei Qingyun HM650 series, and simultaneously released the HarmonyOS Computer Enterprise Edition, enhancing government and enterprise terminal deployment, device management, and data security capabilities.According to on-site reports from IT Home on November 5, the 2026 HarmonyOS Office Industry Summit was held in Wuhan. Zhu Dongdong, President of Huawei's Terminal Tablet and PC Product Line, announced that the Qingyun HM650 series has achieved 100% localization certification, is equipped with the Kirin X90 chip, and has improved overall performance by 15% through software and hardware collaboration. It also debuts with the HarmonyOS Computer Enterprise Edition, supporting features such as HarmonyOS AI, Xiao Yi Work, Xiao Yi Deep Research, and Xiao Yi Smart Note. Huawei's Executive Director Yu Chengdong stated that the cumulative shipment of HarmonyOS computers has surpassed one million units.

Bitcoin mining company Riot Platforms has signed a $28 billion AI leasing agreement, covering the entire site of its Corsicana campus.To fund the construction of data centers, Riot has sold a total of 20,264 bitcoins this year. The company's third-quarter performance shows that the mining business still contributes about 64% of its revenue.

According to Axios, OpenAI will acquire the development tool startup Pierre Computer. The technology of this startup has been integrated into OpenAI's code generation model Codex.As AI entities take on more programming tasks, OpenAI is joining the ranks of those challenging Microsoft's GitHub.