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China Takes Legal Action Against EU Over Electric Vehicle Tariff Hike

China has launched a legal dispute against the European Union (EU) at the World Trade Organization (WTO) in response to the EU’s decision to raise import tariffs on Chinese electric vehicles (EVs). The case comes on the heels of an EU investigation that concluded Chinese carmakers benefit from state subsidies, giving them an unfair edge in the European market.

Key Details:

  1. WTO Complaint: China’s filing marks its second WTO challenge over higher tariffs, with the complaint aiming to address the EU’s determination that Chinese EV manufacturers benefit from unfair government support.
  2. Impact on Chinese Car Makers: The new EU tariffs range from 17% for BYD, 18.8% for Geely (Volvo’s parent company), to a significant 35.3% for SAIC Motor Corp, making it one of the most heavily affected companies.
  3. WTO Dispute Timeline: Under WTO dispute settlement rules, China and the EU have 60 days to negotiate a resolution. If unresolved, the case may proceed to a WTO panel ruling. However, the WTO’s highest appellate body remains inactive due to a shortage of judges, potentially complicating the resolution process.

The heightened tariffs, which took effect on November 1, reflect growing trade friction between Brussels and Beijing. EU officials argue that China’s subsidies and access to inexpensive raw materials have granted Chinese EV companies excessive leverage over European competitors. In response, Brussels is exploring solutions, such as adjusting price commitments, to address these market imbalances while upholding WTO principles.

Negotiations between the EU and Chinese officials are expected to intensify in the coming weeks, with an EU delegation likely to travel to China to pursue a compromise. Both sides aim to foster fair market conditions while respecting WTO guidelines.

Meta Unveils 816 Billion-Parameter AI Model For Mac, But It Requires 1TB Of RAM

Meta has introduced what it describes as the most capable open-weight AI model available in the United States, making a strategic bet on Apple’s Mac ecosystem. The release reflects the company’s ambition to strengthen its position in open AI while bringing advanced models into professional development and creative workflows.

A Powerful Model With High Hardware Requirements

Called Muse Spark Open, the model has 816 billion parameters and a context window of 1 million tokens. Meta said benchmark results published on Thursday show it outperforming other widely used open-weight systems across key evaluations.

Natively multimodal, Muse Spark Open is designed for complex coding and agentic tasks, extending beyond conventional chatbot use. However, local deployment requires substantial computing power. According to Engadget, the model needs at least 1TB of RAM, with the best performance expected on a Mac Studio equipped with Apple’s M5 Ultra chip. These requirements may limit local use to developers and organisations with access to high-end hardware.

Built For Real-World Development

Meta has paired Muse Spark Open with Muse Code, its AI coding terminal, and tested it across agentic workflows. In one project, the model helped develop a Mastodon client, handling bug fixes, new features and the build process.

The company also deployed the model in DaVinci Resolve, the professional video-editing platform, where it reviewed and cropped footage. These examples demonstrate Meta’s aim to position open-weight AI as a tool for practical production work, from software development to creative tasks, rather than just research demonstrations.

The Strategic Case For Open-Weight AI

Open-weight models give developers and organisations greater flexibility to customise AI, integrate it into internal tools and build specialised workflows. Depending on deployment, they can also reduce costs and provide more control over infrastructure than relying entirely on proprietary services.

However, access to model weights does not eliminate the cost of running advanced AI. Muse Spark Open’s reported memory requirements could make API access a more practical option for many developers than local deployment.

Expanding Access Beyond Mac Hardware

Meta is making Muse Spark Open available through multiple API platforms, allowing developers to use the model without running it on their own machines. This broadens access beyond users with high-end Mac hardware while retaining the option of local deployment for those able to support it.

The release combines Meta’s push to strengthen its position in the open-weight AI ecosystem with a focus on professional users. Wider adoption will depend on the model’s performance, practical usefulness and the resources required to run it.

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