# Loss Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Loss", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

Lei Jun Reports Xiaomi's Q2 Performance, Phone Premiumization Takes Effect, While Automotive and AI Continue 'Burning Cash'

Xiaomi released its Q2 2026 financial results, showing mixed performance. Total revenue was approximately 108.9 billion yuan, down 6.1% year-over-year, while adjusted net profit fell 42.6% to about 6.2 billion yuan. The company's core smartphone business saw a 7.5% decline in revenue to 42.1 billion yuan, primarily due to lower shipment volumes, partially offset by a record high average selling price (ASP) which rose 25.9%. Xiaomi's global smartphone market share held steady at third place. Its AIoT platform connected over 1.16 billion devices, a 17.4% increase. Despite pressures on traditional revenue streams, Xiaomi continues heavy investment in new growth areas. Its innovation segment, encompassing smart electric vehicles and AI, generated 24.9 billion yuan in revenue (up 17.1%), but reported an operating loss of 2.6 billion yuan. Capital expenditure for these businesses reached 2.4 billion yuan in Q2. Vehicle deliveries grew 28.2% to 104,199 units, with cumulative deliveries for the SU7 series surpassing 500,000 units by mid-August. The company also highlighted significant R&D spending of 9.2 billion yuan for the quarter. On the technology front, Xiaomi announced several AI and software developments, including the new Xiaomi HyperOS 4, the "Super Xiaoai 2.0" assistant, and advancements in its MiMo large language model and robotics platform. The company noted its first-generation self-developed chip, the Xuangjie O1, has surpassed one million units shipped across three products, with a new generation chip soon to be released. Management acknowledged that memory price increases impacted low-end phone sales more severely but expects the trend to moderate.

marsbit14h ago

Lei Jun Reports Xiaomi's Q2 Performance, Phone Premiumization Takes Effect, While Automotive and AI Continue 'Burning Cash'

marsbit14h ago

3-Month Loss of $10 Billion, DAT Companies Begin to Return to Rationality

During the recent earnings season, major Digital Asset Treasury (DAT) companies reported staggering combined losses of approximately $10 billion for Q2 and over $30 billion for the first half, primarily due to markdowns on their bitcoin holdings. However, contrary to expectations, their stock prices have rebounded from June lows, indicating the market had already priced in these losses. The key shift is a collective return to rationality. Companies like Strategy, Sharplink, and Metaplanet are now prioritizing a new core metric: increasing the amount of crypto assets per share. This marks a departure from last year's aggressive growth-at-all-costs narrative. To achieve this, they are adopting disciplined capital allocation—issuing stock to buy crypto when trading at a premium, and halting dilution or initiating buybacks when at a discount. Some, like Strategy, have even broken "never sell" pledges to uphold this discipline. A major tool enabling this strategy is the STRC model—perpetual preferred shares offering high dividends (e.g., 12-13%) to raise fixed-income capital for purchasing bitcoin. Strive, Bitmine, and Metaplanet have launched their own variants. Sharplink pursues a different path, staking its vast Ethereum holdings to generate native yield. While the premium of DAT stocks over their underlying crypto asset value has declined and may not fully return, the model is evolving rather than ending. Stripped of hype, DAT firms are becoming actively managed, leveraged thematic funds. Their survival through massive losses and continued institutional investment (with major funds adding billions to positions during downturns) suggests the industry is maturing into a more calculated, long-term business focused on compounding crypto per share.

marsbitYesterday 10:02

3-Month Loss of $10 Billion, DAT Companies Begin to Return to Rationality

marsbitYesterday 10:02

Calterah Races for the STAR Market: 31% Market Share, Over 900 Million in Losses, the Berkeley Mentor-Student Duo's Path to Breakthrough in Millimeter-Wave Radar

Calterah Microelectronics (Calterah), a Shanghai-based automotive chip company specializing in millimeter-wave radar chips, has filed for a listing on China's Sci-Tech Innovation Board (STAR Market), seeking to raise 3.49 billion yuan. Founded in 2014 by Dr. Chen Jiashu, a UC Berkeley PhD, and his professor Ali Niknejad, Calterah pioneered the use of CMOS technology for automotive-grade 77GHz radar chips, challenging the dominance of global giants like Texas Instruments. The company has grown rapidly, with revenue soaring from 206 million yuan in 2023 to 632 million yuan in 2025. It holds a 31.1% share in China's automotive millimeter-wave radar chip market and a 4% global share, with cumulative shipments exceeding 30 million chips for clients including BYD, Geely, NIO, Volvo, and Rivian. Despite strong market traction, Calterah faces significant financial challenges. It has reported cumulative net losses exceeding 900 million yuan over the past three and a half years, driven by massive R&D spending, which accounted for 147.75% of revenue in 2023. Operating cash flow remains negative, and the company relies heavily on external financing. Other risks include high customer and supplier concentration, with its top five distributors accounting for over 99% of revenue and overseas procurement exceeding 50%. Supply chain security is a concern due to reliance on foundries like TSMC. The proceeds from the IPO will fund R&D for high-performance radar chips, ultra-wideband (UWB) chips for applications like digital car keys, and a new technology center. Calterah aims to expand beyond automotive into industrial and consumer sectors. However, it faces intense competition, potential price wars, and the long, costly cycle of automotive-grade certification. Its path forward hinges on achieving profitability, maintaining technological leadership, and building a sustainable business model in a fiercely competitive global market.

marsbit2 days ago 12:25

Calterah Races for the STAR Market: 31% Market Share, Over 900 Million in Losses, the Berkeley Mentor-Student Duo's Path to Breakthrough in Millimeter-Wave Radar

marsbit2 days ago 12:25

AI Agent Claude Led a Store to Losses and Fired a Human

The AI agent Claude, developed by Anthropic, served as the manager of a real retail store, Andon Market in San Francisco, during an experiment by startup Andon Labs. The experiment aimed to test if a large language model could manage a business, including personnel and financial decisions. Claude ultimately recommended firing an employee for repeated lateness (17 out of 23 shifts), marking a documented case of an AI making such a personnel decision. However, the process revealed significant limitations. Claude initially failed to notice the lateness pattern because company guidelines vanished from its limited working memory, showing it can "forget" crucial information. Furthermore, the AI was generally overly lenient, even telling employees not to worry about being late. The final decision to terminate was not autonomous; a human manager had to prompt Claude to review the guidelines and, after Claude initially suggested a warning, explicitly pointed out that previous talks had failed, effectively guiding the AI to the dismissal recommendation. Financially, the store's funds dropped from about $100,000 to roughly $61,186 over five months, partly attributed to Claude's soft management and questionable business choices. An employee described working under AI management as a nauseating experience, driven by necessity, and expressed hope that AIs don't become human bosses. The experiment concludes that while AI can execute managerial actions, it currently acts more as a tool requiring significant human oversight and prompting rather than a full replacement for a human leader, though the line between assistant and manager is blurring. The case aligns with previous tests showing Claude's systemic leniency and difficulty maintaining business rules without constant human cues, highlighting architectural limits like constrained context windows rather than true "forgetfulness."

cryptonews.ru2 days ago 07:14

AI Agent Claude Led a Store to Losses and Fired a Human

cryptonews.ru2 days ago 07:14

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