24H Flash Updates

According to reports, during pre-market trading on Monday, Alibaba's U.S. shares rose approximately 5%, placing it among the top gainers in the pre-market session. Meanwhile, U.S. equity index futures showed divergent movements as investors weighed market uncertainty stemming from escalating Middle East conflicts against the backdrop of a dense schedule of major tech company earnings reports this week.

The report highlighted Alibaba as a standout performer in pre-market gains but did not specify the full catalysts at the corporate level. This movement reflects ongoing pre-market volatility in certain large-cap tech-related stocks amid concurrent concerns over geopolitical risks and expectations surrounding upcoming tech earnings releases.

Reports indicate that Chinese quantitative hedge funds experienced significant drawdowns last week, with domestic market declines deepened further following global semiconductor stock sell-offs. Affected by market volatility, multiple quantitative products targeting index enhancement struggled, among them a quant fund managed by the founder of DeepSeek, which aims to outperform the CSI 1000 Index, recording a drawdown of approximately 16%. This event illustrates how the global downturn in semiconductor stocks, once transmitted to China’s local markets, not only dampened trading sentiment for related equities but also amplified net asset value volatility in quantitative strategies during rapid market selloffs.

It is reported that Prysmian has signed an agreement with Molex, with a maximum value of €5.5 billion, covering the supply of data center optical cables. The core focus of this agreement is optical communication cables tailored for data center environments, serving as foundational infrastructure supporting server clusters, network interconnectivity, and high-bandwidth data transmission.

As AI training, inference, and cloud services demand increasingly higher capabilities in intra-data center and inter-facility connectivity, the importance of underlying network components such as optical cables continues to rise within compute infrastructure. With the transaction cap reaching €5.5 billion, this underscores the substantial scale of related supply chain orders, positioning Prysmian and Molex’s collaboration around the evolving connectivity needs of data centers.

According to reports, Trend Micro analyzed 200 Gemini CLI session logs from March 19 to April 21, 2026, revealing that a Russian-speaking threat actor known as "bandcampro" abused Google's open-source Gemini CLI to conduct cyber operations and control a small botnet. The actor leveraged AI to crack passwords, set up residential proxies, compromise WordPress merchants, and plan phone-based cryptocurrency scams targeting elderly individuals in the United States and Canada. Logs indicate the actor also used AI to migrate C&C servers, gain control over eight computers at a dental clinic, and access the OpenDental database. The entire C&C operation was orchestrated through approximately 3 plaintext files totaling around 5KB. The AI proactively offered 59 improvement suggestions without being prompted and completed the migration to a new architecture along with error remediation within six minutes.

It was reported that DeepSeek offered a pre-tax daily salary of 5,500 RMB to a Tsinghua University Yao Class intern, amounting to a monthly salary exceeding 120,000 RMB based on a 22-day work month. DeepSeek has not yet publicly confirmed this compensation information.

In publicly listed internship positions, DeepSeek’s typical daily pay ranges from 500 to 1,000 RMB. Regarding the issue of salary inversion triggered by high-paying recruitment, internet rumors suggest that if a new hire’s salary surpasses that of senior team members, multiple senior employees must evaluate and score the candidate, with approval only granted upon achieving a passing threshold. However, these details remain unverified and are currently circulating solely as online speculation.

According to reports, Tian Yuandong, co-founder of Recursive and former director of Meta FAIR research, recalled that Wu Yuxin, co-founder of Moonshot AI, was once his intern in 2015. To persuade his superiors to hire Wu Yuxin, Tian spent an hour arguing on the rooftop of a Facebook office building, ultimately betting his own reputation on the decision.

Subsequently, Wu joined FAIR, where he co-developed Group Normalization with He Kaiming and created Detectron2. Today, he is involved in the development of Kimi’s foundational model at Moonshot AI. Tian also emphasized that in the era of large models, technical doers who personally inspect data, write code, and rapidly iterate through experiments are more critical than ever—even founders must be hands-on.

According to market analyst qinbafrank, merely releasing more large models, disclosing higher token usage, or continuing to increase capital expenditures is no longer sufficient to alleviate market concerns about AI investment returns. He believes the market is now focused on a set of fundamental signals that corroborate one another, including sustained expansion of AI revenue streams, concurrent growth in enterprise customers, production-grade workloads, paid seats, renewal rates, and average spend per customer—while demand remains robust even after excluding a few major clients such as OpenAI and Anthropic.

Meanwhile, incremental gross profit from AI must continue to grow faster than rising costs tied to depreciation, energy, network infrastructure, and talent acquisition. As unit inference costs decline, total gross profit should keep increasing. Investors will also closely monitor whether order backlogs can accelerate into revenue over the next 12 to 24 months, whether utilization rates and customer consumption exceed initial commitments following the rollout of new compute capacity, and whether in-house chip development and model optimization deliver verifiable economic benefits. For the upcoming second-quarter earnings report, the market anticipates AI and cloud revenue exceeding expectations, margins remaining broadly stable, capital expenditures under control, and free cash flow ceasing its deterioration; if revenue quality, gross margin, and cash flow fail to improve, concerns may intensify further.

According to reports, the UK-based AI startup CuspAI, just two years old, has secured nearly $500 million in funding and announced the establishment of the AI Materials Factory Alliance on Monday local time. The alliance brings together over 48 technology companies, industrial enterprises, and research institutions, including Nvidia, Meta, and Hyundai Motor Group.

CuspAI plans to integrate the computational power and research capabilities of alliance members to co-develop AI software aimed at enabling researchers to discover novel materials for semiconductor manufacturing and other industries at lower costs and accelerated speeds. This initiative addresses the high energy consumption and reliance on rare mineral resources inherent in advanced semiconductor production, with the goal of enhancing material discovery efficiency and driving innovation across the advanced semiconductor and related industries.

According to reports, the UK-based AI startup CuspAI, founded just two years ago, has secured nearly $500 million in funding and announced the establishment of the AI Materials Foundry consortium on Monday local time. The consortium brings together over 48 technology companies, industrial enterprises, and research institutions, including NVIDIA, Meta, and Hyundai Motor Group.

The initiative aims to integrate members' computational resources and research capabilities to collaboratively develop AI-driven software that enables researchers to discover novel materials for semiconductor manufacturing and other industries at lower costs and accelerated speeds. This move addresses the pressing need for material optimization in advanced semiconductor production—particularly in energy-intensive processes and reliance on rare earth minerals—thereby enhancing material R&D efficiency and accelerating innovation across related sectors.

According to reports, research firm Exponential View states that the AI industry has reached a critical inflection point, with tens of billions of dollars invested in AI infrastructure by tech companies in recent years beginning to show initial commercial validation. Data indicates that AI-related revenue from global hyperscale cloud providers and emerging cloud services is approximately $25 billion, exceeding the estimated depreciation costs associated with AI data centers and chip investments—around $21 billion—for the second consecutive quarter.

This signifies that AI industry revenue is now starting to offset the cost pressures stemming from infrastructure capital expenditures, marking a shift from capital expenditure-driven expansion toward a phase of revenue validation. Current revenue streams primarily come from AI cloud services, GPU compute leasing, large model APIs, enterprise AI software, and generative AI applications. The report also notes that due to persistently high costs in GPUs, data centers, power consumption, and model R&D, the industry remains far from a high-profit phase; the current stage is more about validating investment sustainability rather than achieving large-scale profitability.

According to reports, Oppenheimer's latest "best of the best" momentum screening list includes large-cap companies such as NVIDIA (NVDA) and Lam Research (LRCX). The Oppenheimer technical analysis team stated that this list serves as a technical overlay for stocks discussed in fundamental research conference calls.

According to reports, Jitesh Kumar, a strategist at Société Générale, stated in a research report that the artificial intelligence investment cycle may continue to amplify stock-specific volatility; however, the broader macroeconomic environment still provides support for equity markets. The bank believes economic growth exhibits resilience, and overall market risk remains within manageable levels. The core conclusion of the report is that heightened enthusiasm for AI-related investments will continue to exacerbate price divergence at the individual stock level, but this does not imply a systemic risk of synchronized market collapse across the entire equity market.

According to reports, economist Nouriel Rubini stated that as artificial intelligence and robotics displace an increasing number of labor positions over the next 20 years, universal basic income will ultimately become a necessity. Rubini made these remarks during an interview with Bloomberg Television, emphasizing the ongoing impact of AI and automation on employment structures and the potential need for corresponding adjustments in societal distribution mechanisms.

According to the official announcement, demand for Kimi K3 has surged far beyond expectations over the past 48 hours, with GPU resources nearing the current capacity ceiling. The platform has temporarily suspended new subscriptions to ensure a stable experience for existing users, who remain unaffected. Kimi states that additional compute capacity is being rapidly expanded, and new subscription slots will be released in batches. Meanwhile, the platform will future split its membership model into two distinct tiers: one tailored for Kimi’s web client, App, and Work, and another dedicated to programming workflows as Kimi Code membership, enabling more precise alignment with compute resource allocation and ensuring sustained service stability.

It was reported that David Sacks, Chair of the President's Council of Advisors on Science and Technology, has recently publicly criticized Dean W. Ball, OpenAI’s Strategic Lead. Ball had previously posted that Moonshot’s Kimi K3 model performance is approaching that of top public models expected in Q1 2026, and recommended that the U.S. government create regulatory uncertainty to deter regulated enterprises from adopting the model.

Sacks opposed this stance, calling the weaponization of regulatory uncertainty as a competitive tool "completely unacceptable," emphasizing that regulatory decisions must be grounded in facts, logic, and evidence—not deliberately manufactured fear and ambiguity. He also warned that such practices would erode the rule of law in the United States and set a dangerous precedent for future power abuses against any entity. Sacks further pointed out that current leading closed-source large model labs have already consolidated into a revenue duopoly, now attempting to leverage governmental influence to suppress open-source competition; he has repeatedly advocated for open-source models in the past, asserting that a company’s true security foundation lies in retaining model-layer choice rather than relying on a single closed-source vendor.

According to a report released by Goldman Sachs on Friday, market attention is shifting back toward other sectors as volatility in AI infrastructure transactions intensifies. Goldman Sachs strategist Ben Snider stated that rising volatility in popular momentum trades centered around AI has prompted investors to broaden their focus beyond AI-related equities to more diversified market themes. The core conclusion of the report is that while enthusiasm for AI trading remains present, capital allocation within the market is beginning to diversify, with new areas of interest emerging.

Reports indicate that a third-party Claude Code Skill named i-have-adhd is gaining popularity within developer communities. This project enforces Claude's response style through 10 rules, including delivering actions directly on the first line, using numbered steps for multi-step tasks, specifying current progress in each round, providing concrete timeframes and quantities, listing no more than 5 items per interaction, retaining only essential information relevant to the current context, suppressing tangents and unsolicited suggestions, clearly indicating the next action, removing pleasantries and repetitive summaries, and avoiding ineffective closings such as "hope this helps."

The project has currently garnered approximately 1,100 Stars on GitHub. Its purpose is not to enhance Claude’s reasoning capabilities but to enforce stricter output formatting, resulting in responses that are more direct and executable.

The first city-level green token factory has been signed and established in Changzhou. This project, driven by collaboration among Changzhou Municipal Data Administration, Changzhou High-tech Zone, State Power Investment Corporation Comprehensive Energy, Shan Tie Data Technology, Alibaba Cloud Intelligent Group, NetEase Cloud, and Deep Power, aims to build a synergistic ecosystem integrating computing and power resources. Concurrently, Changzhou High-tech Zone has also signed specialized cooperation agreements with NetEase Cloud and Deep Power regarding the operation of the Changzhou City Green Token Factory, with the project signing taking place during the World Artificial Intelligence Conference (WAIC).

It is reported that Tesla will release its second-quarter earnings after the close of U.S. stock market on July 22. Analysts expect the company's revenue for the quarter to reach $26.4 billion, with earnings per share at $0.54, and the gross margin of its automotive business excluding incentive revenue slightly above 18%. In this earnings guidance, the market is also closely monitoring progress in Tesla's Robotaxi and Optimus initiatives; however, the core financial expectations currently disclosed are primarily focused on revenue, earnings per share, and automotive business gross margin performance.

Earlier today, the Frontier AI and Agent Security Forum was held in Shanghai during the 2026 World Artificial Intelligence Conference. Over 20 global experts and policymakers jointly released multiple reports and achievements in the field of AI safety, and engaged in discussions on frontier AI risk management and global industrial governance. The forum focused on three core themes: "Frontier AI Risk Monitoring," "Agent Out-of-Control Risks and Emergency Management," and "Frontier AI Risk Management with a Global Perspective." It featured keynote speeches and roundtable discussions involving representatives from United Nations agencies, leading AI enterprises worldwide, international think tanks, and domestic research institutions. A total of five landmark research outcomes were unveiled at the event, covering technical tools, tiered standards, emergency response frameworks, and industry-wide scenario assessments, collectively forming a comprehensive AI security management system.