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WHO’s Historic Agreement: A Major Step Towards Global Pandemic Preparedness

In a groundbreaking move, members of the World Health Organization (WHO) have reached a historic, legally binding agreement aimed at preparing the world for future pandemics. This pact, designed to address the lessons learned from the COVID-19 crisis, sets the stage for a more equitable global response to health emergencies, particularly in the distribution of essential drugs, vaccines, and medical technologies.

The agreement marks a significant milestone in global health governance, especially at a time when multilateral institutions like the WHO are facing considerable financial strain. The United States, which was once the WHO’s largest financial contributor, withdrew from negotiations after President Donald Trump initiated the U.S.’s departure from the organization. Despite this setback, the deal underscores a strong commitment from member states to work together on global health security, with or without U.S. involvement. “This is a historic moment,” said Nina Schwalbe, founder of global health think tank Spark Street Advisors. “It demonstrates that countries are committed to multilateralism and to collective action.”

This agreement, the second of its kind in WHO’s 75-year history (the first being a tobacco control treaty in 2003), focuses on structural inequalities in how pandemic-related health tools are developed and distributed. Article nine of the deal ensures that future pandemic-related drugs, therapeutics, and vaccines will be made globally accessible. It also gives the WHO stronger oversight over medical supply chains and paves the way for local production of vaccines during health crises.

A key challenge in the negotiations was the issue of technology transfer—sharing the knowledge and manufacturing capabilities necessary for lower-income countries to produce their vaccines and treatments. To address this, the agreement mandates that manufacturers allocate at least 20% of their real-time production to the WHO during a pandemic, with a minimum of 10% designated for donation and the rest priced affordably for developing nations.

The deal is not yet finalized, as it must be adopted at the WHO Assembly in May, and some details, such as the annex on Pathogen Access and Benefit Sharing, still require further negotiation. However, once ratified, the agreement will bolster global preparedness, enabling quicker responses to future pandemics and more equitable access to life-saving resources.

As health experts emphasize, the global community must invest in preparedness now to avoid the costly toll of another pandemic. “We can’t afford another pandemic, but we can afford to prevent one,” said Helen Clark, co-chair of The Independent Panel for Pandemic Preparedness. This agreement represents a critical step toward ensuring that the world is better equipped to face future health crises with solidarity, transparency, and a commitment to equity.

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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