Hackers target Chrome extensions in data breach campaign

A series of intrusions targeting Chrome browser extensions has compromised multiple companies since mid-December, experts revealed. Among the victims is Cyberhaven, a California-based data protection company. The breach, confirmed by Cyberhaven on Christmas Eve, is reportedly part of a larger campaign aimed at developers of Chrome extensions across various industries.

Cyberhaven stated it is cooperating with federal law enforcement to address the issue. Browser extensions, commonly used to enhance web browsing, can also pose risks when maliciously altered. Cyberhaven’s Chrome extension, for example, is designed to monitor and secure client data within web-based applications.

Experts identified other compromised extensions, including those involving AI and virtual private networks. Jaime Blasco, cofounder of Texas-based Nudge Security, noted that the attacks appear opportunistic, aiming to harvest sensitive data from numerous sources. Some breaches date back to mid-December, indicating an ongoing effort.

Federal authorities, including the US cyber watchdog CISA, have redirected inquiries to the affected companies. Alphabet, maker of the Chrome browser, has yet to respond to requests for comment.

China’s tech firms growing influence

Big tech competition heats up

Chinese big tech companies have emerged as some of the most influential players in the global technology landscape, driving innovation and shaping industries across the board. These companies are deeply entrenched in everyday life in China, offering a wide range of services and products that span e-commerce, social media, gaming, cloud computing, ΑΙ, and telecommunications. Their influence is not confined to China, they also play a significant role in global markets, often competing directly with US tech giants.

The rivalry between China and the US has become one of the defining geopolitical struggles of the 21st century. This competition oscillates between cooperation, fierce competition, and confrontation, influenced by regulatory policies, national security concerns, and shifting political priorities. The geopolitical pendulum of China-US tech firms, totally independent from the US election outcome, reflects the broader tensions between the two powers, with profound implications for global tech industries, innovation, and market dynamics.

China’s access to US technology will face further restrictions after the election.

The Golden Shield Project

In 2000, under Chairman Jiang Zemin’s leadership, China launched the Golden Shield Project to control media and information flow within the country. The initiative aimed to safeguard national security and restrict the influence of Western propaganda. As part of the Golden Shield, many American tech giants such as Google, Facebook, and Netflix were blocked by the Great Firewall for not complying with China’s data regulations, while companies like Microsoft and LinkedIn were allowed to operate.

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At the same time, China’s internet user base grew dramatically, reaching 800 million netizens by 2018, with 98% using mobile devices. This rapid expansion provided a fertile ground for Chinese tech firms, which thrived without significant competition from foreign players. Among the earliest beneficiaries of this system were the BATX companies, which capitalised on China’s evolving internet landscape and rapidly established a dominant presence in the market.

The powerhouses of Chinese tech

The major Chinese tech companies, often referred to as the Big Tech of China, include Alibaba Group, Tencent, Baidu, ByteDance, Huawei, Xiaomi, JD.com, Meituan, Pinduoduo, and Didi Chuxing.

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Alibaba Group is a global e-commerce and technology conglomerate, operating platforms such as Taobao and Tmall for e-commerce, AliExpress for international retail, and Alipay for digital payments. The company also has significant investments in cloud computing with Alibaba Cloud and logistics.

Tencent, a massive tech conglomerate, is known for its social media and entertainment services. It owns WeChat, a widely used messaging app that offers payment services, social media features, and more. Tencent also has investments in gaming, owning major stakes in Riot Games, Epic Games, and Activision Blizzard, as well as interests in financial services and cloud computing.

Baidu, often called China’s Google, is a leading search engine provider. In addition to its search services, Baidu has a strong presence in AI development, autonomous driving, and cloud computing, particularly focusing on natural language processing and autonomous vehicles.

ByteDance, the company behind TikTok, has made a name for itself in short-form video content and AI-driven platforms. It also operates Douyin, the Chinese version of TikTok, along with Toutiao, a popular news aggregation platform. ByteDance has expanded into gaming, e-commerce, and other AI technologies.

Huawei is a global leader in telecommunications equipment and consumer electronics, particularly smartphones and 5G infrastructure. The company is deeply involved in cloud computing and AI, despite facing significant geopolitical challenges.

Xiaomi is a leading smartphone manufacturer that also produces smart home devices, wearables, and a wide range of consumer electronics. The company is growing rapidly in the Internet of Things (IoT) space and AI-driven products.

JD.com, one of China’s largest e-commerce platforms, operates similarly to Alibaba, focusing on direct sales, logistics, and tech solutions. JD.com has also made significant strides in robotics, AI, and logistics technology.

Meituan is best known for its food delivery and local services platform, offering everything from restaurant reservations to hotel bookings. The company also operates in sectors like bike-sharing, travel, and ride-hailing.

Pinduoduo has rapidly grown in e-commerce by focusing on group buying and social commerce, particularly targeting lower-tier cities and rural markets in China. The platform offers discounted products to users who buy in groups.

Didi Chuxing is China’s dominant ride-hailing service, offering various transportation services such as ride-hailing, car rentals, and autonomous driving technology.

But what are the BATX companies we mentioned earlier?

BAXT

The term BATX refers to a group of the four dominant Chinese tech companies: Baidu, Alibaba, Tencent, and Xiaomi. These companies are central to China’s technology landscape and are often compared to the US “FAANG” group (Facebook, Apple, Amazon, Netflix, Google) because of their major influence across a range of industries, including e-commerce, search engines, social media, gaming, ΑΙ and telecommunications. Together, BATX companies are key players in shaping China’s tech ecosystem and have a significant impact on global markets.

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China’s strategy for tech growth

China’s technology development strategy has proven effective in propelling the country to the forefront of several high-tech industries. This ambitious approach, which involves broad investments across both large state-owned enterprises and smaller private startups, has fostered significant innovation and created a competitive business environment. As a result, it has the potential to serve as a model for other countries looking to stimulate tech growth.

A key driver of China’s success is its diverse investment strategy, supported by government-led initiatives like the “Made in China 2025” and the “Thousand Talents Plan“. These programs offer financial backing and attract top talent from around the globe. This inclusive approach has helped China rapidly emerge as a global leader in fields like AI, robotics, and semiconductors. However, critics argue that the strategy may be overly aggressive, potentially stifling competition and innovation.

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Some have raised concerns that China’s government support unfairly favours domestic companies, providing subsidies and other advantages that foreign competitors do not receive. Yet, this type of protectionist approach is not unique to China; other countries have implemented similar strategies to foster the growth of their own industries.

Another critique is that China’s broad investment model may encourage risky ventures and the subsidising of failures, potentially leading to a market that is oversaturated with unprofitable businesses. While this criticism holds merit in some cases, the overall success of China’s strategy in cultivating a dynamic and competitive tech landscape remains evident.

Looking ahead, China’s technology development strategy is likely to continue evolving. As the country strengthens its position on the global stage, it may become more selective in its investments, focusing on firms with the potential for global leadership.

In any case, China’s strategy has shown it can drive innovation and foster growth. Other nations hoping to advance their technological sectors should take note of this model and consider implementing similar policies to enhance their own competitive and innovative business environments.

But under what regulatory framework does Chinese tech policy ultimately operate? How does it affect the whole project? Are there some negative effects of the tight state grip?

China’s regulatory pyramid: Balancing control and consequences

China’s regulatory approach to its booming tech sector is defined by a precarious balance of authority, enforcement, and market response. Angela Zhang, author of High Wire: How China Regulates Big Tech and Governs Its Economy, proposes a “dynamic pyramid model” to explain the system’s intricate dynamics. This model highlights three key features: hierarchy, volatility, and fragility.

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The top-down structure of China’s regulatory system is a hallmark of its hierarchy. Regulatory agencies act based on directives from centralised leadership, creating a paradox. In the absence of clear signals, agencies exhibit inaction, allowing industries to flourish unchecked. Conversely, when leadership calls for stricter oversight, regulators often overreach. A prime example of this is the drastic shift in 2020 when China moved from years of leniency toward its tech giants to implementing sweeping crackdowns on firms like Alibaba and Tencent.

This erratic enforcement underscores the volatility of the system. Chinese tech regulation is characterised by cycles of lax oversight followed by abrupt crackdowns, driven by shifts in political priorities. The 2020 – 2022 crackdown, which involved antitrust investigations and record-breaking fines, sent shockwaves through markets, wiping out billions in market value. While the government eased its stance in 2022, the uncertainty created by such pendulum swings has left investors wary, with many viewing the Chinese market as unpredictable and risky.

Despite its intentions to address pressing issues like antitrust violations and data security, China’s heavy-handed regulatory approach often results in fragility. Rapid interventions can undermine confidence, stifle innovation, and damage the very sectors the government seeks to strengthen. Years of lax oversight exacerbate challenges, leaving regulators with steep issues to address and markets vulnerable to overcorrection.

This model offers a lens into the broader governance dynamics in China. The system’s centralised control and reactive policies aim to maintain stability but often generate unintended economic consequences. As Chinese tech firms look to expand overseas amid domestic challenges, the long-term impact of these regulatory cycles remains uncertain, potentially influencing China’s ability to compete on the global stage.

The battle for tech supremacy between the USA and China

The incoming US President Donald Trump is expected to adopt a more aggressive, unilateral approach to counter China’s technological growth, drawing on his history of quick, broad measures such as tariffs. Under his leadership, the USA is likely to expand export controls and impose tougher sanctions on Chinese tech firms. Trump’s advisors predict a significant push to add more companies to the US Entity List, which restricts US firms from selling to blacklisted companies. His administration might focus on using tariffs (potentially up to 60% on Chinese imports) and export controls to pressure China, even if it strains relations with international allies.

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The escalating tensions have been further complicated by China’s retaliatory actions. In response to US export controls, China has targeted American companies like Micron Technology and imposed its own restrictions on essential materials for chipmaking and electric vehicle production. These moves highlight the interconnectedness of both economies, with the US still reliant on China for critical resources such as rare earth elements, which are vital for both technology and defence.

This intensifying technological conflict reflects broader concerns over data security, military dominance, and leadership in AI and semiconductors. As both nations aim to protect their strategic interests, the tech war is set to continue evolving, with major consequences for global supply chains, innovation, and the international balance of power in technology.

Nvidia CEO highlights new AI scaling techniques

Nvidia reported a staggering $19B in net income last quarter but faced questions about sustaining its rapid growth amid shifts in AI development methods. Analysts questioned CEO Jensen Huang on how Nvidia’s position might evolve with trends like ‘test-time scaling,’ a method that enhances AI responses by increasing computing power during inference, the phase when AI generates answers.

Huang described test-time scaling as a groundbreaking development and emphasised Nvidia’s readiness to support it. He noted that while most of the company’s focus remains on pretraining AI models, the growing emphasis on inference could transform the AI landscape. Nvidia’s dominance in pretraining has propelled its stock up 180% this year, but competition in AI inference is heating up, with startups like Groq and Cerebras offering alternative chip solutions.

Despite concerns about diminishing returns from traditional AI scaling, Huang remains optimistic, asserting that foundational AI development continues to advance. He reiterated Nvidia’s advantage as the largest AI inference platform globally, citing the company’s scale and reliability as critical factors in maintaining its edge.

Congressional panel pushes for AI investment to counter China

A US congressional commission has proposed a bold initiative modeled on the Manhattan Project to accelerate the development of artificial general intelligence (AGI) that could rival or surpass human intelligence. The US-China Economic and Security Review Commission (USCC) emphasised the importance of public-private partnerships to drive technological innovation as competition with China intensifies. However, the panel provided no specific funding plans in its annual report.

Commissioner Jacob Helberg highlighted China’s rapid advancements in AGI, warning of potential shifts in global power dynamics. Addressing infrastructure bottlenecks, he suggested streamlining regulations for data centres as a step to accelerate AI progress. Tech leaders like OpenAI have also advocated for increased government investment in AI to maintain global competitiveness.

Beyond AI, the USCC report included recommendations to tighten trade regulations, particularly by ending the “de minimis” exemption that allows duty-free imports under $800. Commissioner Kimberly Glas underscored the challenge of inspecting the overwhelming volume of such shipments, which she claimed serve as a channel for unregulated Chinese goods, including dangerous materials. Proposals to curb this exemption have sparked bipartisan debate, though legislative progress has been hampered by industry opposition and political gridlock.

New OSI guidelines clarify open source standards for AI

The Open Source Initiative (OSI) has introduced version 1.0 of its Open Source AI Definition (OSAID), setting new standards for AI transparency and accessibility. Developed over the years in collaboration with academia and industry, the OSAID aims to establish clear criteria for what qualifies as open-source AI. The OSI says the definition will help align policymakers, developers, and industry leaders on a common understanding of ‘open source’ in the rapidly evolving field of AI.

According to OSI Executive Vice President Stefano Maffulli, the goal is to make sure AI models labelled as open source provide enough detail for others to recreate them and disclose essential information about training data, such as its origin and processing methods. The OSAID also emphasises that open source AI should grant users freedom to modify and build upon the models, without restrictive permissions. While OSI lacks enforcement power, it plans to advocate for its definition as the AI community’s reference point, aiming to combat “open source” claims that don’t meet OSAID standards.

The new definition comes as some companies, including Meta and Stability AI, use the open-source label without fully meeting transparency requirements. Meta, a financial supporter of the OSI, has voiced reservations about the OSAID, citing the need for protective restrictions around its Llama models. In contrast, OSI contends that AI models should be openly accessible to allow for a truly open-source AI ecosystem, rather than restricted by proprietary data and usage limitations.

Maffulli acknowledges the OSAID may need frequent updates as technology and regulations evolve. OSI has created a committee to monitor its application and adjust as necessary, with an eye on refining the open-source definition to address emerging issues like copyright and proprietary data.

Untether launches efficient AI chip for autonomous tech

San Francisco-based startup Untether has unveiled a new artificial intelligence chip, the 240 Slim, tailored for energy-efficient use in edge applications like autonomous vehicles and agricultural equipment. Unlike the large-scale data center chips produced by giants like Nvidia and AMD, Untether’s product is optimised to run pre-trained AI models, which means it focuses on inference, the process of applying existing AI models rather than training new ones.

As AI becomes more embedded in everyday technologies, demand for inference-focused chips is skyrocketing. Untether’s VP of product, Bob Beachler, anticipates the inference chip market to expand to $102B by 2027, far surpassing the training sector. The 240 Slim chip is built on the open-source RISC-V architecture, positioning it as a competitor to chips using Arm Holdings’ technology. Early tests by nonprofit MLCommons have shown promising performance results for Untether’s hardware.

Untether has already gained traction in the automotive sector; Mercedes-Benz plans to use Untether’s chips in its future autonomous vehicles. With these chips, the company aims to deliver cutting-edge performance with minimal power demands, a combination that could help drive innovation in autonomous tech, agriculture, and select data center applications.

Tech competition between US and China to escalate

The outcome of the US presidential election will not change the course of the tech conflict with China. Both Republican Donald Trump and Vice President Kamala Harris are expected to intensify measures aimed at limiting China’s access to American technology and resources, although their strategies will differ.

Harris is likely to adopt a focused, multilateral approach, building on Biden’s tactics by working with allies to curb the flow of advanced technology to China. In contrast, Trump’s strategy could include sweeping measures, such as expanding tariffs and aggressively enforcing export controls, possibly escalating tensions with allies who resist the US lead.

Both candidates aim to curb China’s technological advancement and its military capabilities. Harris has pledged to ensure the US remains at the forefront of the global technology race, while Trump continues to advocate for higher tariffs and tough restrictions, including denying China access to essential components like AI chips.

China has already responded to recent US actions by imposing restrictions on exports of critical materials, such as graphite and rare earths. Experts warn that the US should exercise caution, as some industries remain reliant on Chinese resources. The tech war will likely see new fronts, including connected devices, as the conflict deepens under the next administration.

Microsoft signs deal to power data centres with nuclear energy

America’s Three Mile Island energy plant, infamous for the worst nuclear accident in US history, is preparing to reopen after Microsoft signed a 20-year deal to purchase power from the facility. The plant is scheduled to restart in 2028 following upgrades and will supply clean energy to support Microsoft’s growing data centres, especially those focused on AI. The agreement is pending regulatory approval.

Constellation Energy, the plant owner, confirmed that the reactor set to restart is separate from the unit involved in the 1979 accident, which, while not fatal, created significant public fear surrounding nuclear power. This deal represents a revival of interest in atomic energy, driven by increasing concerns about climate change and rising energy needs. The CEO of Constellation described this move as a “rebirth” of nuclear power, highlighting its potential as a dependable source of carbon-free energy.

The plant’s reopening is projected to create 3,400 jobs and add over 800 megawatts of carbon-free electricity to the grid, driving significant economic activity. Although the revival has faced some protests, it underscores a growing trend among tech companies, with Amazon also exploring nuclear energy to meet its expanding energy demands.