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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.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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